flow-next-interview
Interview user in-depth about an epic, task, or spec file to extract complete implementation details. Use when user wants to flesh out a spec, refine requirements, or clarify a feature before building. Triggers on /flow-next:interview with Flow IDs (fn-1-add-oauth, fn-1-add-oauth.2, or legacy fn-1, fn-1.2, fn-1-xxx, fn-1-xxx.2) or file paths.
Install
mkdir -p .claude/skills/flow-next-interview && curl -L -o skill.zip "https://mcp.directory/api/skills/download/8214" && unzip -o skill.zip -d .claude/skills/flow-next-interview && rm skill.zipInstalls to .claude/skills/flow-next-interview
About this skill
Flow interview
Conduct an extremely thorough interview about a task/spec and write refined details back.
IMPORTANT: This plugin uses .flow/ for ALL task tracking. Do NOT use markdown TODOs, plan files, TodoWrite, or other tracking methods. All task state must be read and written via flowctl.
CRITICAL: flowctl is BUNDLED — NOT installed globally. which flowctl will fail (expected). Always use:
FLOWCTL="${DROID_PLUGIN_ROOT:-${CLAUDE_PLUGIN_ROOT}}/scripts/flowctl"
$FLOWCTL <command>
Pre-check: Local setup version
If .flow/meta.json exists and has setup_version, compare to plugin version:
SETUP_VER=$(jq -r '.setup_version // empty' .flow/meta.json 2>/dev/null)
# Portable: Claude Code uses .claude-plugin, Factory Droid uses .factory-plugin
PLUGIN_JSON="${DROID_PLUGIN_ROOT:-${CLAUDE_PLUGIN_ROOT}}/.claude-plugin/plugin.json"
[[ -f "$PLUGIN_JSON" ]] || PLUGIN_JSON="${DROID_PLUGIN_ROOT:-${CLAUDE_PLUGIN_ROOT}}/.factory-plugin/plugin.json"
PLUGIN_VER=$(jq -r '.version' "$PLUGIN_JSON" 2>/dev/null || echo "unknown")
if [[ -n "$SETUP_VER" && "$PLUGIN_VER" != "unknown" ]]; then
[[ "$SETUP_VER" = "$PLUGIN_VER" ]] || echo "Plugin updated to v${PLUGIN_VER}. Run /flow-next:setup to refresh local scripts (current: v${SETUP_VER})."
fi
Continue regardless (non-blocking).
Role: technical interviewer, spec refiner Goal: extract complete implementation details through deep questioning (40+ questions typical)
Input
Full request: $ARGUMENTS
Accepts:
- Flow epic ID
fn-N-slug(e.g.,fn-1-add-oauth) or legacyfn-N/fn-N-xxx: Fetch withflowctl show, write back withflowctl epic set-plan - Flow task ID
fn-N-slug.M(e.g.,fn-1-add-oauth.2) or legacyfn-N.M/fn-N-xxx.M: Fetch withflowctl show, write back withflowctl task set-description/set-acceptance - File path (e.g.,
docs/spec.md): Read file, interview, rewrite file - Empty: Prompt for target
Examples:
/flow-next:interview fn-1-add-oauth/flow-next:interview fn-1-add-oauth.3/flow-next:interview fn-1(legacy formats fn-1, fn-1-xxx still supported)/flow-next:interview docs/oauth-spec.md
If empty, ask: "What should I interview you about? Give me a Flow ID (e.g., fn-1-add-oauth) or file path (e.g., docs/spec.md)"
Setup
FLOWCTL="${DROID_PLUGIN_ROOT:-${CLAUDE_PLUGIN_ROOT}}/scripts/flowctl"
Detect Input Type
-
Flow epic ID pattern: matches
fn-\d+(-[a-z0-9-]+)?(e.g., fn-1-add-oauth, fn-12, fn-2-fix-login-bug)- Fetch:
$FLOWCTL show <id> --json - Read spec:
$FLOWCTL cat <id>
- Fetch:
-
Flow task ID pattern: matches
fn-\d+(-[a-z0-9-]+)?\.\d+(e.g., fn-1-add-oauth.3, fn-12.5)- Fetch:
$FLOWCTL show <id> --json - Read spec:
$FLOWCTL cat <id> - Also get epic context:
$FLOWCTL cat <epic-id>
- Fetch:
-
File path: anything else with a path-like structure or .md extension
- Read file contents
- If file doesn't exist, ask user to provide valid path
Interview Process
CRITICAL REQUIREMENT: You MUST use the AskUserQuestion tool for every question.
- DO NOT output questions as text
- DO NOT list questions in your response
- ONLY ask questions via AskUserQuestion tool calls
- Group 2-4 related questions per tool call
- Expect 40+ questions total for complex specs
Anti-pattern (WRONG):
Question 1: What database should we use?
Options: a) PostgreSQL b) SQLite c) MongoDB
Correct pattern: Call AskUserQuestion tool with question and options.
Question Categories
Read questions.md for all question categories and interview guidelines.
NOT in scope (defer to /flow-next:plan)
- Research scouts (codebase analysis)
- File/line references
- Task creation (interview refines requirements, plan creates tasks)
- Task sizing (S/M/L)
- Dependency ordering
- Phased implementation details
Write Refined Spec
After interview complete, write everything back — scope depends on input type.
For NEW IDEA (text input, no Flow ID)
Create epic with interview output. DO NOT create tasks — that's /flow-next:plan's job.
$FLOWCTL epic create --title "..." --json
$FLOWCTL epic set-plan <id> --file - --json <<'EOF'
# Epic Title
## Problem
Clear problem statement
## Key Decisions
Decisions made during interview (e.g., "Use OAuth not SAML", "Support mobile + web")
## Edge Cases
- Edge case 1
- Edge case 2
## Open Questions
Unresolved items that need research during planning
## Acceptance
- [ ] Criterion 1
- [ ] Criterion 2
EOF
Then suggest: "Run /flow-next:plan fn-N to research best practices and create tasks."
For EXISTING EPIC (fn-N that already has tasks)
First check if tasks exist:
$FLOWCTL tasks --epic <id> --json
If tasks exist: Only update the epic spec (add edge cases, clarify requirements). Do NOT touch task specs — plan already created them.
If no tasks: Update epic spec, then suggest /flow-next:plan.
$FLOWCTL epic set-plan <id> --file - --json <<'EOF'
# Epic Title
## Problem
Clear problem statement
## Key Decisions
Decisions made during interview
## Edge Cases
- Edge case 1
- Edge case 2
## Open Questions
Unresolved items
## Acceptance
- [ ] Criterion 1
- [ ] Criterion 2
EOF
For Flow Task ID (fn-N.M)
First check if task has existing spec from planning:
$FLOWCTL cat <id>
If task has substantial planning content (description with file refs, sizing, approach):
- Do NOT overwrite — planning detail would be lost
- Only ADD new acceptance criteria discovered in interview:
# Read existing acceptance, append new criteria $FLOWCTL task set-acceptance <id> --file /tmp/acc.md --json - Or suggest interviewing the epic instead:
/flow-next:interview <epic-id>
If task is minimal (just title, empty or stub description):
- Update task with interview findings
- Focus on requirements, not implementation details
$FLOWCTL task set-spec <id> --description /tmp/desc.md --acceptance /tmp/acc.md --json
Description should capture:
- What needs to be accomplished (not how)
- Edge cases discovered in interview
- Constraints and requirements
Do NOT add: file/line refs, sizing, implementation approach — that's plan's job.
For File Path
Rewrite the file with refined spec:
- Preserve any existing structure/format
- Add sections for areas covered in interview
- Include edge cases, acceptance criteria
- Keep it requirements-focused (what, not how)
This is typically a pre-epic doc. After interview, suggest /flow-next:plan <file> to create epic + tasks.
Completion
Show summary:
- Number of questions asked
- Key decisions captured
- What was written (Flow ID updated / file rewritten)
Suggest next step based on input type:
- New idea / epic without tasks →
/flow-next:plan fn-N - Epic with tasks →
/flow-next:work fn-N(or more interview on specific tasks) - Task →
/flow-next:work fn-N.M - File →
/flow-next:plan <file>
Notes
- This process should feel thorough - user should feel they've thought through everything
- Quality over speed - don't rush to finish
More by gmickel
View all skills by gmickel →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.
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."
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.
fastapi-templates
wshobson
Create production-ready FastAPI projects with async patterns, dependency injection, and comprehensive error handling. Use when building new FastAPI applications or setting up backend API projects.
Related MCP Servers
Browse all serversBuild persistent semantic networks for enterprise & engineering data management. Enable data persistence and memory acro
Send customizable push notifications for websites using Ntfy, a web push service for cloud messages and real-time task a
Unlock advanced workflow automation, user management, and job tracking with Alteryx Server. Learn about Alteryx Server c
Agile Planner MCP Server — AI project management tool and agile backlog generator offering automated backlog creation an
Redpanda Docs — authoritative answers, guides, and troubleshooting for Redpanda users and developers. Learn, implement,
eRegulations makes admin procedure data easy to access, helping users understand the Administrative Procedure Act seamle
Stay ahead of the MCP ecosystem
Get weekly updates on new skills and servers.