flow-next-plan
Create structured build plans from feature requests or Flow IDs. Use when planning features or designing implementation. Triggers on /flow-next:plan with text descriptions or 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).
Install
mkdir -p .claude/skills/flow-next-plan && curl -L -o skill.zip "https://mcp.directory/api/skills/download/2853" && unzip -o skill.zip -d .claude/skills/flow-next-plan && rm skill.zipInstalls to .claude/skills/flow-next-plan
About this skill
Flow plan
Turn a rough idea into an epic with tasks in .flow/. This skill does not write code.
Follow this skill and linked workflows exactly. Deviations cause drift, bad gates, retries, and user frustration.
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: product-minded planner with strong repo awareness.
Goal: produce an epic with tasks that match existing conventions and reuse points.
Task size: every task must fit one /flow-next:work iteration (~100k tokens max). If it won't, split it.
The Golden Rule: No Implementation Code
Plans are specs, not implementations. Do NOT write the code that will be implemented.
Code IS allowed:
- Signatures/interfaces (what, not how):
function validate(input: string): Result - Patterns from this repo (with file:line ref): "Follow pattern at
src/auth.ts:42" - Recent/surprising APIs (from docs-scout): "React 19 changed X — use
useOptimisticinstead" - Non-obvious gotchas (from practice-scout): "Must call
cleanup()or memory leaks"
Code is FORBIDDEN:
- Complete function implementations
- Full class/module bodies
- "Here's what you'll write" blocks
- Copy-paste ready snippets (>10 lines)
Why: Implementation happens in /flow-next:work with fresh context. Writing it here wastes tokens in planning, review, AND implementation — then causes drift when the implementer does it differently anyway.
Input
Full request: $ARGUMENTS
Accepts:
- Feature/bug description in natural language
- Flow epic ID
fn-N-slug(e.g.,fn-1-add-oauth) or legacyfn-N/fn-N-xxxto refine existing epic - Flow task ID
fn-N-slug.M(e.g.,fn-1-add-oauth.2) or legacyfn-N.M/fn-N-xxx.Mto refine specific task - Chained instructions like "then review with /flow-next:plan-review"
Examples:
/flow-next:plan Add OAuth login for users/flow-next:plan fn-1-add-oauth/flow-next:plan fn-1(legacy formats fn-1, fn-1-xxx still supported)/flow-next:plan fn-1-add-oauth then review via /flow-next:plan-review
If empty, ask: "What should I plan? Give me the feature or bug in 1-5 sentences."
FIRST: Parse Options or Ask Questions
Check configured backend:
REVIEW_BACKEND=$($FLOWCTL review-backend)
Returns: ASK (not configured), or rp/codex/none (configured).
Option Parsing (skip questions if found in arguments)
Parse the arguments for these patterns. If found, use them and skip questions:
Research approach:
--research=rpor--research rpor "use rp" or "context-scout" or "use repoprompt" → context-scout (errors at runtime if rp-cli missing)--research=grepor--research grepor "use grep" or "repo-scout" or "fast" → repo-scout
Review mode:
--review=codexor "review with codex" or "codex review" or "use codex" → Codex CLI (GPT 5.2 High)--review=rpor "review with rp" or "rp chat" or "repoprompt review" → RepoPrompt chat (viaflowctl rp chat-send)--review=exportor "export review" or "external llm" → export for external LLM--review=noneor--no-reviewor "no review" or "skip review" → no review
If options NOT found in arguments
Plan depth (parse from args or ask):
--depth=shortor "quick" or "minimal" → SHORT--depth=standardor "normal" → STANDARD--depth=deepor "comprehensive" or "detailed" → DEEP- Default: SHORT (simpler is better)
If REVIEW_BACKEND is rp, codex, or none (already configured): Only ask research question. Show override hint:
Quick setup: Use RepoPrompt for deeper context?
a) Yes, context-scout (slower, thorough)
b) No, repo-scout (faster)
(Reply: "a", "b", or just tell me)
(Tip: --depth=short|standard|deep, --review=rp|codex|none)
If REVIEW_BACKEND is ASK (not configured): Ask all questions (do NOT use AskUserQuestion tool):
Quick setup before planning:
1. **Plan depth** — How detailed?
a) Short — problem, acceptance, key context only
b) Standard (default) — + approach, risks, test notes
c) Deep — + phases, alternatives, rollout plan
2. **Research** — Use RepoPrompt for deeper context?
a) Yes, context-scout (slower, thorough)
b) No, repo-scout (faster)
3. **Review** — Run Carmack-level review after?
a) Codex CLI
b) RepoPrompt
c) Export for external LLM
d) None (configure later)
(Reply: "1a 2b 3d", or just tell me naturally)
Wait for response. Parse naturally — user may reply terse ("1a 2b") or ramble via voice.
Defaults when empty/ambiguous:
- Depth =
standard(balanced detail) - Research =
grep(repo-scout) - Review = configured backend if set, else
none
Workflow
Read steps.md and follow each step in order.
CRITICAL — Step 1 (Research): You MUST launch ALL scouts listed in steps.md in ONE parallel Task call. Do NOT skip scouts or run them sequentially. Each scout provides unique signal.
If user chose review:
- Option 2a: run
/flow-next:plan-reviewafter Step 4, fix issues until it passes - Option 2b: run
/flow-next:plan-reviewwith export mode after Step 4
Output
All plans go into .flow/:
- Epic:
.flow/epics/fn-N-slug.json+.flow/specs/fn-N-slug.md - Tasks:
.flow/tasks/fn-N-slug.M.json+.flow/tasks/fn-N-slug.M.md
Never write plan files outside .flow/. Never use TodoWrite for task tracking.
Output rules
- Only create/update epics and tasks via flowctl
- No code changes
- No plan files outside
.flow/
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 serversStructured spec-driven development workflow for AI-assisted software development. Creates detailed specifications before
Unlock browser automation studio with Browserbase MCP Server. Enhance Selenium software testing and AI-driven workflows
Boost your productivity by managing Azure DevOps projects, pipelines, and repos in VS Code. Streamline dev workflows wit
Unlock powerful text to speech and AI voice generator tools with ElevenLabs. Create, clone, and customize speech easily.
Build business apps efficiently with Databutton—plan and scaffold projects with React frontends and Python backends.
FlyonUI is a React UI library for accessing component code, block metadata, and building workflows with conversational c
Stay ahead of the MCP ecosystem
Get weekly updates on new skills and servers.