analyze-with-file
Interactive collaborative analysis with documented discussions, inline exploration, and evolving understanding. Serial execution with no agent delegation.
Install
mkdir -p .claude/skills/analyze-with-file && curl -L -o skill.zip "https://mcp.directory/api/skills/download/4212" && unzip -o skill.zip -d .claude/skills/analyze-with-file && rm skill.zipInstalls to .claude/skills/analyze-with-file
About this skill
Codex Analyze-With-File Prompt
Overview
Interactive collaborative analysis workflow with documented discussion process. Records understanding evolution, facilitates multi-round Q&A, and uses inline search tools for deep exploration.
Core workflow: Topic → Explore → Discuss → Document → Refine → Conclude → Plan Checklist
Key features:
- Documented discussion timeline: Captures understanding evolution across all phases
- Decision recording at every critical point: Mandatory recording of key findings, direction changes, and trade-offs
- Multi-perspective analysis: Supports up to 4 analysis perspectives (serial, inline)
- Interactive discussion: Multi-round Q&A with user feedback and direction adjustments
- Plan output: Generate structured plan checklist for downstream execution (e.g.,
$csv-wave-pipeline)
Auto Mode
When --yes or -y: Auto-confirm exploration decisions, use recommended analysis angles, skip interactive scoping.
Quick Start
# Basic usage
/codex:analyze-with-file TOPIC="How to optimize this project's authentication architecture"
# With depth selection
/codex:analyze-with-file TOPIC="Performance bottleneck analysis" --depth=deep
# Continue existing session
/codex:analyze-with-file TOPIC="authentication architecture" --continue
# Auto mode (skip confirmations)
/codex:analyze-with-file -y TOPIC="Caching strategy analysis"
Target Topic
$TOPIC
Configuration
| Flag | Default | Description |
|---|---|---|
-y, --yes | false | Auto-confirm all decisions |
--continue | false | Continue existing session |
--depth | standard | Analysis depth: quick / standard / deep |
Session ID format: ANL-{slug}-{YYYY-MM-DD}
- slug: lowercase, alphanumeric + CJK characters, max 40 chars
- date: YYYY-MM-DD (UTC+8)
- Auto-detect continue: session folder + discussion.md exists → continue mode
Analysis Flow
Step 0: Session Setup
├─ Parse topic, flags (--depth, --continue, -y)
├─ Generate session ID: ANL-{slug}-{date}
└─ Create session folder (or detect existing → continue mode)
Step 1: Topic Understanding
├─ Parse topic, identify analysis dimensions
├─ Initial scoping with user (focus areas, perspectives, depth)
└─ Initialize discussion.md
Step 2: Exploration (Inline, No Agents)
├─ Detect codebase → search relevant modules, patterns
│ ├─ Run `ccw spec load --category exploration` (if spec system available)
│ ├─ Run `ccw spec load --category debug` (known issues and root-cause notes)
│ └─ Use Grep, Glob, Read, mcp__ace-tool__search_context
├─ Multi-perspective analysis (if selected, serial)
│ ├─ Single: Comprehensive analysis
│ └─ Multi (≤4): Serial per-perspective analysis with synthesis
├─ Aggregate findings → explorations.json / perspectives.json
├─ Update discussion.md with Round 1
│ ├─ Replace ## Current Understanding with initial findings
│ └─ Update ## Table of Contents
└─ Initial Intent Coverage Check (early drift detection)
Step 3: Interactive Discussion (Multi-Round, max 5)
├─ Current Understanding Summary (round ≥ 2, before findings)
├─ Present exploration findings
├─ Gather user feedback
├─ Process response:
│ ├─ Deepen → context-driven + heuristic options → deeper inline analysis
│ ├─ Agree & Suggest → user-directed exploration
│ ├─ Adjust → new inline analysis with adjusted focus
│ ├─ Questions → direct answers with evidence
│ └─ Complete → exit loop for synthesis
├─ Update discussion.md:
│ ├─ Append round details + Narrative Synthesis
│ ├─ Replace ## Current Understanding with latest state
│ └─ Update ## Table of Contents
├─ Intent Drift Check (round ≥ 2, building on Phase 2 initial check)
└─ Repeat until user selects complete or max rounds
Step 4: Synthesis & Conclusion
├─ Intent Coverage Verification (mandatory gate)
├─ Findings-to-Recommendations Traceability (mandatory gate)
├─ Consolidate all insights → conclusions.json (with steps[] per recommendation)
├─ Update discussion.md with final synthesis
├─ Interactive Recommendation Review (per-recommendation confirm/modify/reject)
└─ Offer options: generate plan / create issue / export / done
Step 5: Plan Generation (Optional - produces plan only, NO code modifications)
├─ Generate inline plan checklist → appended to discussion.md
└─ Remind user to execute via $csv-wave-pipeline
Recording Protocol
CRITICAL: During analysis, the following situations MUST trigger immediate recording to discussion.md:
| Trigger | What to Record | Target Section |
|---|---|---|
| Direction choice | What was chosen, why, what alternatives were discarded | #### Decision Log |
| Key finding | Finding content, impact scope, confidence level, hypothesis impact | #### Key Findings |
| Assumption change | Old assumption → new understanding, reason, impact | #### Corrected Assumptions |
| User feedback | User's original input, rationale for adoption/adjustment | #### User Input |
| Disagreement & trade-off | Conflicting viewpoints, trade-off basis, final choice | #### Decision Log |
| Scope adjustment | Before/after scope, trigger reason | #### Decision Log |
Decision Record Format
> **Decision**: [Description of the decision]
> - **Context**: [What triggered this decision]
> - **Options considered**: [Alternatives evaluated]
> - **Chosen**: [Selected approach] — **Reason**: [Rationale]
> - **Rejected**: [Why other options were discarded]
> - **Impact**: [Effect on analysis direction/conclusions]
Key Finding Record Format
> **Finding**: [Content]
> - **Confidence**: [High/Medium/Low] — **Why**: [Evidence basis]
> - **Hypothesis Impact**: [Confirms/Refutes/Modifies] hypothesis "[name]"
> - **Scope**: [What areas this affects]
Narrative Synthesis Format
Append after each round update:
### Round N: Narrative Synthesis
**起点**: 基于上一轮的 [conclusions/questions],本轮从 [starting point] 切入。
**关键进展**: [New findings] [confirmed/refuted/modified] 了之前关于 [hypothesis] 的理解。
**决策影响**: 用户选择 [feedback type],导致分析方向 [adjusted/deepened/maintained]。
**当前理解**: 经过本轮,核心认知更新为 [updated understanding]。
**遗留问题**: [remaining questions driving next round]
Recording Principles
- Immediacy: Record decisions as they happen, not at the end of a phase
- Completeness: Capture context, options, chosen approach, reason, and rejected alternatives
- Traceability: Later phases must be able to trace back why a decision was made
- Depth: Capture reasoning and hypothesis impact, not just outcomes
Implementation Details
Phase 0: Session Initialization
const getUtc8ISOString = () => new Date(Date.now() + 8 * 60 * 60 * 1000).toISOString()
// Parse flags
const autoYes = $ARGUMENTS.includes('--yes') || $ARGUMENTS.includes('-y')
const continueMode = $ARGUMENTS.includes('--continue')
const depthMatch = $ARGUMENTS.match(/--depth[=\s](quick|standard|deep)/)
const analysisDepth = depthMatch ? depthMatch[1] : 'standard'
// Extract topic
const topic = $ARGUMENTS.replace(/--yes|-y|--continue|--depth[=\s]\w+|TOPIC=/g, '').replace(/^["']|["']$/g, '').trim()
// Determine project root
const projectRoot = Bash('git rev-parse --show-toplevel 2>/dev/null || pwd').trim()
const slug = topic.toLowerCase().replace(/[^a-z0-9\u4e00-\u9fa5]+/g, '-').substring(0, 40)
const dateStr = getUtc8ISOString().substring(0, 10)
const sessionId = `ANL-${slug}-${dateStr}`
const sessionFolder = `${projectRoot}/.workflow/.analysis/${sessionId}`
// Auto-detect continue: session folder + discussion.md exists → continue mode
// If continue → load discussion.md + explorations, resume from last round
Bash(`mkdir -p ${sessionFolder}`)
Phase 1: Topic Understanding
Objective: Parse the topic, identify relevant analysis dimensions, scope the analysis with user input, and initialize the discussion document.
Step 1.1: Parse Topic & Identify Dimensions
Match topic keywords against analysis dimensions (see Dimensions Reference):
// Match topic text against keyword lists from Dimensions Reference
// If multiple dimensions match, include all
// If none match, default to "architecture" and "implementation"
const dimensions = identifyDimensions(topic, ANALYSIS_DIMENSIONS)
Step 1.2: Initial Scoping (New Session Only)
For new sessions, gather user preferences (skipped in auto mode or continue mode):
if (!autoYes && !continueMode) {
// 1. Focus areas (multi-select)
// Generate directions dynamically from detected dimensions (see Dimension-Direction Mapping)
const focusAreas = request_user_input({
questions: [{
header: "聚焦领域",
id: "focus",
question: "Select analysis focus areas:",
options: generateFocusOptions(dimensions) // Dynamic based on dimensions
}]
})
// 2. Analysis perspectives (multi-select, max 4)
// Options from Perspectives Reference table
const perspectives = request_user_input({
questions: [{
header: "分析视角",
id: "perspectives",
question: "Select analysis perspectives (single = focused, multi = broader coverage):",
options: perspectiveOptions // See Perspectives Reference
}]
})
// 3. Analysis depth (single-select, unless --depth already set)
// Quick: surface level | Standard: moderate depth | Deep: comprehensive
}
Step 1.3: Initialize discussion.md
const discussionMd = `# Analysis Discussion
**Session ID**: ${sessionId}
**Topic**: ${topic}
**Started**: ${getUtc8ISOString()}
**Dimensions**: ${dimensions.join(', ')}
**Depth**: ${analysisDepth}
## Table of Contents
<!-- TOC: Auto-updated after each round/phase. Links to major sections. -->
- [Analysis Context](#analysis-context)
- [Current Understanding](#current-understanding)
- [Discussion Timeline](#discussion-timeline)
- [Decision Trail](#decision-trail)
## Current Understanding
<!-- REPLACEABLE BLOCK: Overwrite (not append) after each round with latest consolidated understanding.
Follow Consolidation Rules: promote confirmed insights, track corrections, focus on current state. -->
> To be populated after exploration.
## Analysis Context
- Focus areas: ${focusAreas.join(', ')}
- Perspectives: ${selectedPerspectives.map(p => p.name).join(', ')}
- Depth: ${analysisDepth}
## Initial Questions
${generateInitialQuestions(topic, dimensions).map(q => `- ${q}`).join('\n')}
## Initial Decisions
> Record why these dimensions and focus areas were selected.
---
## Discussion Timeline
> Rounds will be appended below as analysis progresses.
> Each round MUST include a Decision Log section for any decisions made.
---
## Decision Trail
> Consolidated critical decisions across all rounds (populated in Phase 4).
`
Write(`${sessionFolder}/discussion.md`, discussionMd)
Success Criteria:
- Session folder created with discussion.md initialized
- Analysis dimensions identified and user preferences captured
- Initial decisions recorded: Dimension selection rationale, excluded dimensions with reasons
Phase 2: Exploration
Objective: Gather codebase context and execute analysis to build understanding. All exploration done inline — no agent delegation.
Step 2.1: Detect Codebase & Explore
const hasCodebase = Bash(`
test -f package.json && echo "nodejs" ||
test -f go.mod && echo "golang" ||
test -f Cargo.toml && echo "rust" ||
test -f pyproject.toml && echo "python" ||
test -f pom.xml && echo "java" ||
test -d src && echo "generic" ||
echo "none"
`).trim()
if (hasCodebase !== 'none') {
// 1. Read project metadata (if exists)
// - Run `ccw spec load --category exploration` (load project specs)
// - Run `ccw spec load --category debug` (known issues and root-cause notes)
// - .workflow/specs/*.md (project conventions)
// 2. Search codebase for relevant content
// Use: Grep, Glob, Read, or mcp__ace-tool__search_context
// Focus on: modules/components, patterns/structure, integration points, config/dependencies
// 3. Write findings
Write(`${sessionFolder}/exploration-codebase.json`, JSON.stringify({
project_type: hasCodebase,
relevant_files: [...], // [{path, relevance, summary}]
patterns: [...], // [{pattern, files, description}]
constraints: [...], // Architectural constraints found
integration_points: [...], // [{location, description}]
key_findings: [...], // Main insights from code search
_metadata: { timestamp: getUtc8ISOString(), exploration_scope: '...' }
}, null, 2))
}
Step 2.2: Multi-Perspective Analysis
Analyze from each selected perspective. All analysis done inline by the AI.
Single perspective (default):
// Analyze comprehensively across all identified dimensions
// Use exploration-codebase.json as context
const findings = {
session_id: sessionId, timestamp: getUtc8ISOString(),
topic, dimensions,
sources: [...], // [{type, file, summary}]
key_findings: [...], // Main insights
discussion_points: [...], // Questions for user engagement
open_questions: [...] // Unresolved questions
}
Write(`${sessionFolder}/explorations.json`, JSON.stringify(findings, null, 2))
Multi-perspective (2-4 perspectives, serial):
// Analyze each perspective sequentially, write individual findings
selectedPerspectives.forEach(perspective => {
Write(`${sessionFolder}/explorations/${perspective.name}.json`, JSON.stringify({
perspective: perspective.name,
relevant_files: [...], patterns: [...],
key_findings: [...], perspective_insights: [...], open_questions: [...],
_metadata: { timestamp: getUtc8ISOString() }
}, null, 2))
})
Step 2.3: Aggregate Findings
// Single perspective → explorations.json already written
// Multi-perspective → synthesize into perspectives.json
if (selectedPerspectives.length > 1) {
const synthesis = {
session_id: sessionId, timestamp: getUtc8ISOString(), topic, dimensions,
perspectives: selectedPerspectives.map(p => ({
name: p.name,
findings: readJson(`${sessionFolder}/explorations/${p.name}.json`).key_findings,
insights: readJson(`${sessionFolder}/explorations/${p.name}.json`).perspective_insights,
questions: readJson(`${sessionFolder}/explorations/${p.name}.json`).open_questions
})),
synthesis: {
convergent_themes: [...], // What all perspectives agree on
conflicting_views: [...], // Where perspectives differ
unique_contributions: [...] // Insights unique to specific perspectives
},
aggregated_findings: [...], discussion_points: [...], open_questions: [...]
}
Write(`${sessionFolder}/perspectives.json`, JSON.stringify(synthesis, null, 2))
}
Step 2.4: Update discussion.md
Append Round 1 with exploration results using the Round Documentation Pattern.
Single perspective: Sources analyzed, key findings with evidence, discussion points, open questions.
Multi-perspective: Per-perspective summary (brief), then synthesis (convergent themes, conflicting views, unique contributions), discussion points, open questions.
Step 2.5: Initial Intent Coverage Check
Perform the FIRST intent coverage check before entering Phase 3:
// Re-read original user intent from discussion.md header
// Check each intent item against Round 1 findings
appendToDiscussion(`
#### Initial Intent Coverage Check (Post-Exploration)
${originalIntents.map((intent, i) => {
const status = assessCoverage(intent, explorationFindings)
return `- ${status.icon} Intent ${i+1}: ${intent} — ${status.detail}`
}).join('\n')}
> 接下来的讨论将重点关注未覆盖 (❌) 和进行中 (🔄) 的意图。
`)
Success Criteria:
- exploration-codebase.json created with codebase context (if codebase exists)
- explorations.json (single) or perspectives.json (multi) created with findings
- discussion.md updated with Round 1 results
- Initial Intent Coverage Check completed — early drift detection
- Key findings recorded with evidence references and confidence levels
- Exploration decisions recorded (why certain perspectives/search strategies were chosen)
Phase 3: Interactive Discussion
Objective: Iteratively refine understanding through multi-round user-guided discussion cycles. Max Rounds: 5.
Step 3.1: Present Findings & Gather Direction
Current Understanding Summary (Round >= 2, BEFORE presenting new findings):
- Generate 1-2 sentence recap of established consensus and last round's direction
- Example: "到目前为止,我们已确认 [established facts]。上一轮 [key action/direction]。现在,这是新一轮的发现:"
if (!autoYes) {
const feedback = request_user_input({
questions: [{
header: "分析方向",
id: "direction",
question: `Analysis round ${round}: Feedback on current findings?`,
options: [
{ label: "Deepen(Recommended)", description: "Analysis direction is correct, investigate deeper" },
{ label: "Adjust Direction", description: "Different understanding or focus needed" },
{ label: "Analysis Complete", description: "Sufficient information obtained, proceed to synthesis" }
]
}]
})
}
Step 3.2: Process User Response
Recording Checkpoint: Regardless of option selected, MUST record to discussion.md:
- User's original choice and expression
- Impact on analysis direction
- If direction changed, record a full Decision Record (see Recording Protocol)
| Response | Action |
|---|---|
| Deepen | Generate 2-3 context-driven options (unresolved questions, low-confidence findings, unexplored dimensions) + 1-2 heuristic options that break current frame (e.g., "compare with best practices in [related domain]", "analyze under extreme load scenarios", "review from security audit perspective", "explore simpler architectural alternatives"). Execute selected direction via inline search. Merge new findings. Record confirmed assumptions and exploration angles. |
| Agree & Suggest | Ask user for specific direction (free text). Execute user's direction via inline search. Record user-driven rationale and findings. |
| Adjust Direction | Ask user for new focus. Analyze from adjusted perspective. Compare new insights with prior analysis. Identify what was missed. Record trigger reason, old vs new direction, expected impact. |
| Specific Questions | Capture questions. Answer with codebase search evidence. Rate confidence per answer. Document Q&A. Record knowledge gaps revealed. |
| Analysis Complete | Record why concluding at this round. Exit loop → Phase 4. |
Step 3.3: Document Each Round
Update discussion.md using the Round Documentation Pattern.
Append to Discussion Timeline: User Direction, Decision Log, Key Findings, Analysis Results, Corrected Assumptions, Open Items, Narrative Synthesis.
Replace (not append):
| Section | Update Rule |
|---|---|
## Current Understanding | Overwrite with latest consolidated understanding. Follow Consolidation Rules. |
## Table of Contents | Update links to include new Round N sections |
Step 3.4: Intent Drift Check (every round >= 2)
Re-read original intent from discussion.md header. Compare against the Initial Intent Coverage Check from Phase 2:
#### Intent Coverage Check
- ✅ Intent 1: [addressed in Round N]
- 🔄 Intent 2: [in-progress, current focus]
- ⚠️ Intent 3: [implicitly absorbed by X — needs explicit confirmation]
- ❌ Intent 4: [not yet discussed]
- If any item is "implicitly absorbed" (⚠️), note explicitly — absorbed ≠ addressed
- If ❌ or ⚠️ items exist → proactively surface to user: "以下原始意图尚未充分覆盖:[list]。是否需要调整优先级?"
Success Criteria:
- User feedback processed for each round
- discussion.md updated with all rounds, assumptions documented and corrected
- All decision points recorded with Decision Record format
- Direction changes documented with before/after comparison
Phase 4: Synthesis & Conclusion
Objective: Consolidate insights, generate conclusions and recommendations.
Step 4.0: Intent Coverage Verification (MANDATORY gate)
For EACH original intent item, determine coverage status:
- ✅ Addressed: Explicitly discussed and concluded
- 🔀 Transformed: Original intent evolved — document transformation chain
- ⚠️ Absorbed: Implicitly covered — flag for confirmation
- ❌ Missed: Not discussed — MUST address or explicitly defer
Write "Intent Coverage Matrix" to discussion.md:
### Intent Coverage Matrix
| # | Original Intent | Status | Where Addressed | Notes |
|---|----------------|--------|-----------------|-------|
| 1 | [intent text] | ✅ Addressed | Round N, Conclusion #M | |
| 2 | [intent text] | 🔀 Transformed | Round N → Round M | Original: X → Final: Y |
| 3 | [intent text] | ❌ Missed | — | Reason for omission |
Gate: If any item is ❌ Missed, MUST either (a) add a discussion round to address it, or (b) explicitly confirm with user that it is intentionally deferred.
Step 4.1: Findings-to-Recommendations Traceability (MANDATORY gate)
Collect ALL actionable findings from every round and map each to a disposition.
Actionable finding sources: key findings with actionable implications, technical solutions (proposed/validated), identified gaps (API-frontend gaps, missing features, design issues), corrected assumptions that imply fixes.
| Disposition | Meaning |
|---|---|
| recommendation | Converted to a numbered recommendation |
| absorbed | Covered by another recommendation (specify which) |
| deferred | Explicitly out-of-scope with reason |
| informational | Pure insight, no action needed |
const findingsCoverage = allFindings.map(f => ({
finding: f.summary, round: f.round,
disposition: null, // MUST be assigned before proceeding
target: null, // e.g., "Rec #1" or "→ Rec #3" or "Reason: ..."
reason: null
}))
// Gate: ALL findings MUST have a disposition. Do NOT proceed with any disposition = null.
Append Findings Coverage Matrix to discussion.md:
### Findings Coverage Matrix
| # | Finding (Round) | Disposition | Target |
|---|----------------|-------------|--------|
| 1 | [finding] (R1) | recommendation | Rec #1 |
| 2 | [finding] (R2) | absorbed | → Rec #1 |
Step 4.2: Consolidate Insights
const conclusions = {
session_id: sessionId, topic,
completed: getUtc8ISOString(),
total_rounds: roundCount,
summary: '...', // Executive summary
key_conclusions: [ // Main conclusions
{ point: '...', evidence: '...', confidence: 'high|medium|low' }
],
recommendations: [ // MUST include all findings with disposition = 'recommendation'
{
action: '...', // What to do (imperative verb + target)
rationale: '...', // Why this matters
priority: 'high|medium|low',
evidence_refs: ['file:line', ...],
steps: [ // Granular sub-steps for execution
{ description: '...', target: 'file/module', verification: 'how to verify done' }
],
review_status: 'accepted|modified|rejected|pending'
}
],
open_questions: [...],
follow_up_suggestions: [
{ type: 'issue|task|research', summary: '...' }
],
decision_trail: [ // Consolidated decisions from all phases
{ round: 1, decision: '...', context: '...', options_considered: [...], chosen: '...', rejected_reasons: '...', reason: '...', impact: '...' }
],
narrative_trail: [ // From Narrative Synthesis per round
{ round: 1, starting_point: '...', key_progress: '...', hypothesis_impact: '...', updated_understanding: '...', remaining_questions: '...' }
],
intent_coverage: [ // From Step 4.0
{ intent: '...', status: 'addressed|transformed|absorbed|missed', where_addressed: '...', notes: '...' }
],
findings_coverage: findingsCoverage // From Step 4.1
}
Write(`${sessionFolder}/conclusions.json`, JSON.stringify(conclusions, null, 2))
Step 4.3: Final discussion.md Update
Synthesis & Conclusions: Executive Summary, Key Conclusions (ranked by confidence), Recommendations (prioritized), Remaining Open Questions.
Current Understanding (Final):
| Subsection | Content |
|---|---|
| What We Established | Confirmed points and validated findings |
| What Was Clarified | Important corrections ( |
| Key Insights | Valuable learnings for future reference |
Decision Trail:
| Subsection | Content |
|---|---|
| Critical Decisions | Pivotal decisions that shaped the outcome |
| Direction Changes | Timeline of scope/focus adjustments with rationale |
| Trade-offs Made | Key trade-offs and why certain paths were chosen |
Session Statistics: Total discussion rounds, key findings count, dimensions covered, artifacts generated, decision count.
Step 4.4: Interactive Recommendation Review (skip in auto mode)
Walk through each recommendation one-by-one (ordered by priority: high → medium → low):
for (const [index, rec] of sortedRecs.entries()) {
const review = request_user_input({
questions: [{
header: `建议#${index + 1}`,
id: `rec_${index + 1}`,
question: `Recommendation #${index + 1}: "${rec.action}" (${rec.priority} priority, ${rec.steps.length} steps). Your decision:`,
options: [
{ label: "Accept(Recommended)", description: "Accept this recommendation as-is" },
{ label: "Modify", description: "Adjust scope, steps, or priority" },
{ label: "Reject", description: "Remove this recommendation" }
]
}]
})
// Accept → "accepted" | Modify → gather text → "modified" | Reject → gather reason → "rejected"
// Accept All Remaining → mark all remaining as "accepted", break loop
// Record review decision to discussion.md Decision Log + update conclusions.json
}
Review Summary (append to discussion.md):
### Recommendation Review Summary
| # | Action | Priority | Steps | Review Status | Notes |
|---|--------|----------|-------|---------------|-------|
| 1 | [action] | high | 3 | ✅ Accepted | |
| 2 | [action] | medium | 2 | ✏️ Modified | [modification notes] |
| 3 | [action] | low | 1 | ❌ Rejected | [reason] |
Step 4.5: Post-Completion Options
Assess recommendation complexity, then offer appropriate next steps:
| Complexity | Condition | Available Options |
|---|---|---|
none | No recommendations | Done, Create Issue, Export Report |
simple | ≤2 low-priority items | Done, Create Issue, Export Report |
moderate | 1-2 medium-priority | Generate Plan, Create Issue, Export Report, Done |
complex | ≥3 or any high-priority | Generate Plan, Create Issue, Export Report, Done |
| Selection | Action |
|---|---|
| Generate Plan | → Phase 5 (plan only, NO code modifications) |
| Create Issue | Skill(skill="issue:new", args="...") (only reviewed recs) |
| Export Report | Copy discussion.md + conclusions.json to user-specified location |
| Done | Display artifact paths, end |
Auto mode: generate plan only for moderate/complex, skip for simple/none.
Success Criteria:
- conclusions.json created with complete synthesis including findings_coverage[]
- Findings Coverage Matrix — all actionable findings mapped to disposition
- Intent Coverage Matrix — all original intents accounted for
- Complete decision trail documented and traceable
Phase 5: Plan Generation (Optional — NO code modifications)
Trigger: User selects "Generate Plan" in Phase 4. In auto mode, triggered only for moderate/complex.
const planChecklist = recs
.filter(r => r.review_status !== 'rejected')
.map((rec, index) => {
const files = rec.evidence_refs
?.filter(ref => ref.includes(':'))
.map(ref => ref.split(':')[0]) || []
return `### ${index + 1}. ${rec.action}
- **Priority**: ${rec.priority}
- **Rationale**: ${rec.rationale}
- **Target files**: ${files.join(', ') || 'TBD'}
- **Evidence**: ${rec.evidence_refs?.join(', ') || 'N/A'}
- [ ] Ready for execution`
}).join('\n\n')
appendToDiscussion(`
## Plan Checklist
> **This is a plan only — no code was modified.**
> To execute, use: \`$csv-wave-pipeline "<requirement summary>"\`
- **Recommendations**: ${recs.length}
- **Generated**: ${getUtc8ISOString()}
${planChecklist}
---
### Next Step: Execute
Run \`$csv-wave-pipeline\` to execute these recommendations as wave-based batch tasks:
\`\`\`bash
$csv-wave-pipeline "${topic}"
\`\`\`
`)
Success Criteria:
- Plan checklist in discussion.md with all accepted recommendations
- User reminded about
$csv-wave-pipelinefor execution - No source code modified
Templates
Round Documentation Pattern
Each discussion round follows this structure in discussion.md:
### Round N - [Deepen|Adjust|Suggest|Q&A] (timestamp)
#### User Input
What the user indicated they wanted to focus on
#### Decision Log
<!-- Use Decision Record Format from Recording Protocol -->
#### Key Findings
<!-- Use Key Finding Record Format from Recording Protocol -->
#### Analysis Results
Detailed findings from this round's analysis
- Finding 1 (evidence: file:line)
- Finding 2 (evidence: file:line)
#### Corrected Assumptions
- ~~Previous assumption~~ → Corrected understanding
- Reason: Why the assumption was wrong
#### Open Items
Remaining questions or areas for investigation
#### Narrative Synthesis
<!-- Use Narrative Synthesis Format from Recording Protocol -->
discussion.md Evolution Summary
- Header: Session ID, topic, start time, dimensions
- Analysis Context: Focus areas, perspectives, depth level
- Initial Questions: Key questions to guide the analysis
- Initial Decisions: Why these dimensions and focus areas were selected
- Discussion Timeline: Round-by-round findings
- Round 1: Exploration Results + Decision Log + Narrative Synthesis
- Round 2-N: Current Understanding Summary + User feedback + direction adjustments + new insights + Decision Log + Key Findings + Narrative Synthesis
- Decision Trail: Consolidated critical decisions across all rounds
- Synthesis & Conclusions: Summary, key conclusions, recommendations
- Current Understanding (Final): Consolidated insights
- Session Statistics: Rounds completed, findings count, artifacts generated, decision count
Reference
Output Structure
{projectRoot}/.workflow/.analysis/ANL-{slug}-{date}/
├── discussion.md # Evolution of understanding & discussions
├── exploration-codebase.json # Phase 2: Codebase context
├── explorations/ # Phase 2: Multi-perspective explorations (if selected)
│ ├── technical.json
│ ├── architectural.json
│ └── ...
├── explorations.json # Phase 2: Single perspective aggregated findings
├── perspectives.json # Phase 2: Multi-perspective findings with synthesis
└── conclusions.json # Phase 4: Final synthesis with recommendations
Phase 5 appends a plan checklist to
discussion.md. No additional files are generated.
| File | Phase | Description |
|---|---|---|
discussion.md | 1-5 | Session metadata → discussion timeline → conclusions. Plan checklist appended here. |
exploration-codebase.json | 2 | Codebase context: relevant files, patterns, constraints |
explorations/*.json | 2 | Per-perspective exploration results (multi only) |
explorations.json | 2 | Single perspective aggregated findings |
perspectives.json | 2 | Multi-perspective findings with cross-perspective synthesis |
conclusions.json | 4 | Final synthesis: conclusions, recommendations, findings_coverage, open questions |
Analysis Dimensions
| Dimension | Keywords | Description |
|---|---|---|
| architecture | 架构, architecture, design, structure, 设计, pattern | System design, component interactions, design patterns |
| implementation | 实现, implement, code, coding, 代码, logic | Code patterns, implementation details, algorithms |
| performance | 性能, performance, optimize, bottleneck, 优化, speed | Bottlenecks, optimization opportunities, resource usage |
| security | 安全, security, auth, permission, 权限, vulnerability | Vulnerabilities, authentication, access control |
| concept | 概念, concept, theory, principle, 原理, understand | Foundational ideas, principles, theory |
| comparison | 比较, compare, vs, difference, 区别, versus | Comparing solutions, evaluating alternatives |
| decision | 决策, decision, choice, tradeoff, 选择, trade-off | Trade-offs, impact analysis, decision rationale |
Analysis Perspectives
Optional multi-perspective analysis (single perspective is default, max 4):
| Perspective | Focus | Best For |
|---|---|---|
| Technical | Implementation patterns, code structure, technical feasibility | Understanding how and technical details |
| Architectural | System design, scalability, component interactions | Understanding structure and organization |
| Security | Security patterns, vulnerabilities, access control | Identifying security risks |
| Performance | Bottlenecks, optimization, resource utilization | Finding performance issues |
Selection: User can multi-select up to 4 perspectives in Phase 1, or default to single comprehensive view.
Analysis Depth Levels
| Depth | Scope | Description |
|---|---|---|
| Quick | Surface level understanding | Fast overview, minimal exploration |
| Standard | Moderate depth with good coverage | Balanced analysis (default) |
| Deep | Comprehensive detailed analysis | Thorough multi-round investigation |
Dimension-Direction Mapping
When user selects focus areas, generate directions dynamically:
| Dimension | Possible Directions |
|---|---|
| architecture | System Design, Component Interactions, Technology Choices, Integration Points, Design Patterns, Scalability Strategy |
| implementation | Code Structure, Implementation Details, Code Patterns, Error Handling, Testing Approach, Algorithm Analysis |
| performance | Performance Bottlenecks, Optimization Opportunities, Resource Utilization, Caching Strategy, Concurrency Issues |
| security | Security Vulnerabilities, Authentication/Authorization, Access Control, Data Protection, Input Validation |
| concept | Conceptual Foundation, Core Mechanisms, Fundamental Patterns, Theory & Principles, Trade-offs & Reasoning |
| comparison | Solution Comparison, Pros & Cons Analysis, Technology Evaluation, Approach Differences |
| decision | Decision Criteria, Trade-off Analysis, Risk Assessment, Impact Analysis, Implementation Implications |
Implementation: Present 2-3 top dimension-related directions, allow user to multi-select and add custom directions.
Consolidation Rules
When updating "Current Understanding" in discussion.md:
| Rule | Description |
|---|---|
| Promote confirmed insights | Move validated findings to "What We Established" |
| Track corrections | Keep important wrong→right transformations |
| Focus on current state | What do we know NOW, not the journey |
| Avoid timeline repetition | Don't copy discussion details into consolidated section |
| Preserve key learnings | Keep insights valuable for future reference |
Example:
Bad (cluttered):
## Current Understanding
In round 1 we discussed X, then in round 2 user said Y...
Good (consolidated):
## Current Understanding
### What We Established
- The authentication flow uses JWT with refresh tokens
- Rate limiting is implemented at API gateway level
### What Was Clarified
- ~~Assumed Redis for sessions~~ → Actually uses database-backed sessions
### Key Insights
- Current architecture supports horizontal scaling
Error Handling
| Situation | Action | Recovery |
|---|---|---|
| No codebase detected | Normal flow, pure topic analysis | Proceed without exploration-codebase.json |
| Codebase search fails | Continue with available context | Note limitation in discussion.md |
| No relevant findings | Broaden search keywords | Ask user for clarification |
| User timeout in discussion | Save state, show resume command | Use --continue to resume |
| Max rounds reached (5) | Force synthesis phase | Highlight remaining questions in conclusions |
| Session folder conflict | Append timestamp suffix | Create unique folder and continue |
| Plan generation: no recommendations | No plan to generate | Inform user, suggest lite-plan |
Best Practices
Core Principles
- No code modifications: This skill is strictly read-only and plan-only. Phase 5 generates plan checklists but does NOT modify source code. Use
$csv-wave-pipelinefor execution. - Record Decisions Immediately: Never defer recording — capture decisions as they happen using the Decision Record format
- Evidence-Based: Every conclusion should reference specific code or patterns with confidence levels
- Embrace Corrections: Track wrong→right transformations as valuable learnings
Before Starting
- Clear Topic Definition: Detailed topics lead to better dimension identification
- User Context: Understanding focus preferences helps scope the analysis
- Perspective Selection: Choose 2-4 perspectives for complex topics, single for focused queries
- Scope Understanding: Being clear about depth expectations sets correct analysis intensity
During Analysis
- Review Findings: Check exploration results before proceeding to discussion
- Document Assumptions: Track what you think is true for correction later
- Use Continue Mode: Resume sessions to build on previous findings
- Iterate Thoughtfully: Each discussion round should meaningfully refine understanding
- Link Decisions to Outcomes: Explicitly reference which decisions led to which outcomes
Documentation Practices
- Timeline Clarity: Use clear timestamps for traceability
- Evolution Tracking: Document how understanding changed across rounds
- Multi-Perspective Synthesis: When using multiple perspectives, document convergent/conflicting themes
When to Use
Use analyze-with-file when:
- Exploring complex topics collaboratively with documented trail
- Need multi-round iterative refinement of understanding
- Decision-making requires exploring multiple perspectives
- Building shared understanding before implementation
- Want to document how understanding evolved
Use Plan Generation (Phase 5) when:
- Analysis conclusions contain clear, actionable recommendations
- Simple: 1-2 items → inline plan checklist in discussion.md
- Complex: 3+ recommendations → detailed plan checklist
- Then execute via:
$csv-wave-pipelinefor wave-based batch execution
Consider alternatives when:
- Specific bug diagnosis needed → use
debug-with-file - Generating new ideas/solutions → use
brainstorm-with-file - Complex planning with parallel perspectives → use
collaborative-plan-with-file - Ready to implement → use
lite-plan - Requirement decomposition needed → use
req-plan-with-file
Now execute the analyze-with-file workflow for topic: $TOPIC
More by catlog22
View all →You might also like
flutter-development
aj-geddes
Build beautiful cross-platform mobile apps with Flutter and Dart. Covers widgets, state management with Provider/BLoC, navigation, API integration, and material design.
drawio-diagrams-enhanced
jgtolentino
Create professional draw.io (diagrams.net) diagrams in XML format (.drawio files) with integrated PMP/PMBOK methodologies, extensive visual asset libraries, and industry-standard professional templates. Use this skill when users ask to create flowcharts, swimlane diagrams, cross-functional flowcharts, org charts, network diagrams, UML diagrams, BPMN, project management diagrams (WBS, Gantt, PERT, RACI), risk matrices, stakeholder maps, or any other visual diagram in draw.io format. This skill includes access to custom shape libraries for icons, clipart, and professional symbols.
godot
bfollington
This skill should be used when working on Godot Engine projects. It provides specialized knowledge of Godot's file formats (.gd, .tscn, .tres), architecture patterns (component-based, signal-driven, resource-based), common pitfalls, validation tools, code templates, and CLI workflows. The `godot` command is available for running the game, validating scripts, importing resources, and exporting builds. Use this skill for tasks involving Godot game development, debugging scene/resource files, implementing game systems, or creating new Godot components.
nano-banana-pro
garg-aayush
Generate and edit images using Google's Nano Banana Pro (Gemini 3 Pro Image) API. Use when the user asks to generate, create, edit, modify, change, alter, or update images. Also use when user references an existing image file and asks to modify it in any way (e.g., "modify this image", "change the background", "replace X with Y"). Supports both text-to-image generation and image-to-image editing with configurable resolution (1K default, 2K, or 4K for high resolution). DO NOT read the image file first - use this skill directly with the --input-image parameter.
ui-ux-pro-max
nextlevelbuilder
"UI/UX design intelligence. 50 styles, 21 palettes, 50 font pairings, 20 charts, 8 stacks (React, Next.js, Vue, Svelte, SwiftUI, React Native, Flutter, Tailwind). Actions: plan, build, create, design, implement, review, fix, improve, optimize, enhance, refactor, check UI/UX code. Projects: website, landing page, dashboard, admin panel, e-commerce, SaaS, portfolio, blog, mobile app, .html, .tsx, .vue, .svelte. Elements: button, modal, navbar, sidebar, card, table, form, chart. Styles: glassmorphism, claymorphism, minimalism, brutalism, neumorphism, bento grid, dark mode, responsive, skeuomorphism, flat design. Topics: color palette, accessibility, animation, layout, typography, font pairing, spacing, hover, shadow, gradient."
rust-coding-skill
UtakataKyosui
Guides Claude in writing idiomatic, efficient, well-structured Rust code using proper data modeling, traits, impl organization, macros, and build-speed best practices.
Stay ahead of the MCP ecosystem
Get weekly updates on new skills and servers.