fortunto2/solo-factory/plan

Claude Code and agent skill by fortunto2/solo-factory

Trust tier 3
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Checking that the SKILL.md file is still in the repository.

Use when "plan this feature", "create implementation plan", "write a spec", "battle plan", describing a feature/bug/refactor, or need task breakdown before building. Do NOT use for idea validation (/validate) or execution (/build).

Install

npx vskill@latest install fortunto2/solo-factory/plan

SKILL.md

/plan

This skill is self-contained — follow the steps below instead of delegating to external planning skills (superpowers, etc.).

Research the codebase and create a spec + phased implementation plan. Zero interactive questions — explores the code instead.

When to use

Creates a track for any feature, bug fix, or refactor with a concrete, file-level implementation plan. Works with or without /setup.

MCP Tools (use if available)

  • session_search(query) — find similar past work in Claude Code chat history
  • symbol_search("<words>") — find reusable code across projects (symbol names, every project; Grep inside one)
  • Grep — imports and callers of the files you will change
  • project_info(name) — architecture overview: stack, languages, directory layers, key patterns, top dependencies, files with the most definitions
  • kb_search(query) — search knowledge base for relevant methodology

If MCP tools are not available, fall back to Glob + Grep + Read.

Steps

  1. Parse task description from $ARGUMENTS.
  • If empty, ask via AskUserQuestion: "What feature, bug, or refactor do you want to plan?"
  • This is the ONE question maximum.
  1. Detect context — determine where plan files should be stored:

Project context (normal project with code):

  • Detected by: package.json, pyproject.toml, Cargo.toml, *.xcodeproj, or build.gradle.kts exists in working directory
  • Plan path: docs/plan/{trackId}/

Knowledge base context (documentation-centric project):

  • Detected by: NO package manifest found, BUT directories like docs/, notes/, or structured numbered directories exist
  • Plan path: docs/plan/{shortname}/
  • Note: the shortname is derived from the task (kebab-case, no date suffix for the directory)

Set $PLAN_ROOT based on detected context. All subsequent file paths use $PLAN_ROOT.

  1. Load project context (parallel reads):
  • CLAUDE.md — architecture, constraints, Do/Don't
  • docs/prd.md — what the product does (if exists)
  • docs/workflow.md — TDD policy, commit strategy (if exists)
  • package.json or pyproject.toml — stack, versions, deps
  1. Auto-classify track type from keywords in task description:
  • Contains "fix", "bug", "broken", "error", "crash" → bug
  • Contains "refactor", "cleanup", "reorganize", "migrate" → refactor
  • Contains "update", "upgrade", "bump" → chore
  • Default → feature
  1. Research phase — explore the codebase to understand what needs to change:

a. Get architecture overview (if MCP available — do this FIRST): `` project_info(name="{project name from CLAUDE.md or directory name}") `` Gives you: stack, languages, directory layers, key patterns, top dependencies, files with the most definitions.

c. Find relevant files — Glob + Grep for patterns related to the task:

  • Search for keywords from the task description
  • Look at directory structure to understand architecture
  • Identify files that will need modification

d. Precedent retrieval (context graph pattern — search past solutions BEFORE planning):

  • Search past sessions (if MCP available):

`` session_search(query="{task description keywords}") `` Look for: how similar tasks were solved, what went wrong, what patterns worked.

  • Search KB for relevant methodology:

`` kb_search(query="{task type}: {keywords}") `` Check for: harness patterns, architectural constraints, quality scores.

e. Search code across projects (if MCP available): `` symbol_search("<words>") ``

f. Check dependencies of affected files — Grep their imports, and Grep for the module name to find who imports them.

g. Read existing tests in the affected area — understand testing patterns used.

h. Read CLAUDE.md architecture constraints — understand boundaries and conventions.

  • Check for harness section: module boundaries, data validation rules, lint configs.
  • Read docs/ARCHITECTURE.md and docs/QUALITY_SCORE.md if they exist.

i. Detect deploy infrastructure — search for deploy scripts/configs to include deploy phase in plan: ``bash find . -maxdepth 3 \( -name 'deploy.sh' -o -name 'Dockerfile' -o -name 'docker-compose.yml' -o -name 'wrangler.toml' -o -name 'sst.config.ts' \) -type f 2>/dev/null `` If found, read them to understand deploy targets. Include a deploy phase in the plan with concrete commands.

  1. Detect overlapping plans — before creating a new track, check for existing plans that cover similar scope:

``bash ls docs/plan/*/plan.md docs/plan/*/spec.md 2>/dev/null ``

For each existing plan found:

  • Read its spec.md Summary and Acceptance Criteria
  • Compare scope with the new task description
  • Check if tasks overlap (>50% of files or acceptance criteria in common)

If overlap detected:

  • If existing plan is incomplete ([ ] tasks remain): recommend extending it instead of creating a new track. Show the user: "Existing track {trackId} covers similar scope ({overlap description}). Extend it or create a separate track?"
  • If existing plan is complete ([x] all tasks): proceed with new track but reference the prior track in spec.md Dependencies
  • If multiple existing plans overlap with each other: recommend consolidating them into one track before proceeding

If no overlap: proceed normally.

  1. Generate track ID:
  • Extract a short name (2-3 words, kebab-case) from task description.
  • Format: {shortname}_{YYYYMMDD} (e.g., user-auth_20260209).
  1. Create track directory:

``bash mkdir -p $PLAN_ROOT ``

  • Project context: docs/plan/{trackId}/
  • KB context: docs/plan/{shortname}/
  1. Generate `$PLAN_ROOT/spec.md`:

Based on research findings, NOT generic questions. ```markdown # Specification: {Title}

Track ID: {trackId} Type: {Feature|Bug|Refactor|Chore} Created: {YYYY-MM-DD} Status: Draft

## Summary {1-2 paragraph description based on research}

## Acceptance Criteria

  • [ ] {concrete, testable criterion}
  • [ ] {concrete, testable criterion}

{3-8 criteria based on research findings}

## Dependencies

  • {external deps, packages, other tracks}

## Out of Scope

  • {what this track does NOT cover}

## Technical Notes

  • {architecture decisions from research}
  • {relevant patterns found in codebase}
  • {reusable code from other projects}

```

  1. Generate `$PLAN_ROOT/plan.md`:

Concrete, file-level plan from research. Keep it tight: 2-4 phases, 5-15 tasks total.

Critical format rules (parsed by /build):

  • Phase headers: ## Phase N: Name
  • Tasks: - [ ] Task N.Y: Description (with period or detailed text)
  • Subtasks: indented - [ ] Subtask description
  • All tasks use [ ] (unchecked), [~] (in progress), [x] (done)

```markdown # Implementation Plan: {Title}

Track ID: {trackId} Spec: spec.md Created: {YYYY-MM-DD} Status: [ ] Not Started

## Overview {1-2 sentences on approach}

## Phase 1: {Name} {brief description of phase goal}

### Tasks

  • [ ] Task 1.1: {description with concrete file paths}
  • [ ] Task 1.2: {description}

### Verification

  • [ ] {what to check after this phase}

## Phase 2: {Name} ### Tasks

  • [ ] Task 2.1: {description}
  • [ ] Task 2.2: {description}

### Verification

  • [ ] {verification steps}

{2-4 phases total}

## Phase {N-1}: Deploy (if deploy infrastructure exists) _Include this phase ONLY if the project has deploy scripts/configs (deploy.sh, Dockerfile, docker-compose.yml, wrangler.toml, sst.config.ts, vercel.json). Skip if no deploy infra found._

### Tasks

  • [ ] Task {N-1}.1: {concrete deploy step — e.g. "Run python/deploy.sh to push Docker image to VPS", "wrangler deploy", etc.}
  • [ ] Task {N-1}.2: Verify deployment — health check, logs, HTTP status

### Verification

  • [ ] Service is live and healthy
  • [ ] No runtime errors in production logs

## Phase {N}: Docs & Cleanup ### Tasks

  • [ ] Task {N}.1: Update CLAUDE.md with any new commands, architecture changes, or key files
  • [ ] Task {N}.2: Update README.md if public API or setup steps changed
  • [ ] Task {N}.3: Remove dead code — unused imports, orphaned files, stale exports

### Verification

  • [ ] CLAUDE.md reflects current project state
  • [ ] Linter clean, tests pass

## Final Verification

  • [ ] All acceptance criteria from spec met
  • [ ] Tests pass
  • [ ] Linter clean
  • [ ] Build succeeds
  • [ ] Documentation up to date

## Context Handoff _Summary for /build to load at session start — keeps context compact._

### Session Intent {1 sentence: what this track accomplishes}

### Key Files {list of files that will be modified, from research}

### Decisions Made {key architecture decisions from research phase — why X over Y}

### Risks {known risks or edge cases discovered during research}


_Generated by /plan. Tasks marked [~] in progress and [x] complete by /build._ ```

Plan quality rules:

  • Every task mentions specific file paths (from research).
  • Tasks are atomic — one commit each.
  • Phases are independently verifiable.
  • Total: 5-15 tasks (not 70).
  • Last phase is always "Docs & Cleanup".
  • Criteria-task coverage: every acceptance criterion in spec.md MUST map to at least one task in plan.md. After generating both files, cross-check: list each criterion and verify a task addresses it. If a criterion has no corresponding task — add one. Uncovered criteria are the #1 cause of "plan complete but spec not met" failures.
  • Harness-aware: if the task introduces new patterns, include a task to update lint rules or CLAUDE.md constraints. If it touches module boundaries, include verification of dependency direction. Think: "what harness change prevents future agents from breaking this?"
  1. Create progress task list for pipeline visibility:

After writing plan.md, create TaskCreate entries so progress is trackable:

  • One task per phase: "Phase 1: {name}" with task list as description.
  • This gives the user and pipeline real-time visibility into what's planned.
  • /build will update these tasks as it works through them.

If superpowers:writing-plans skill is available, follow its granularity format: bite-sized tasks (2-5 minutes each), complete code in task descriptions, exact file paths, verification steps per task. This enhances the built-in format above.

  1. Show plan for approval via AskUserQuestion:

Present the spec summary + plan overview. Options:

  • "Approve and start" — ready for /build
  • "Edit plan" — user wants to modify before implementing
  • "Cancel" — discard the track

If "Edit plan": tell user to edit $PLAN_ROOT/plan.md manually, then run /build.

Output

Track created: {trackId}
Type: {Feature|Bug|Refactor|Chore}
Phases: {N}
Tasks: {N}
Spec: $PLAN_ROOT/spec.md
Plan: $PLAN_ROOT/plan.md
Research findings:
- {key finding 1}
- {key finding 2}
- {reusable code found, if any}
Next: /build {trackId}

Rationalizations Catalog

These thoughts mean STOP — you're skipping research:

This is the start of the file. Read the full SKILL.md on GitHub.

Security

  • Security scanPassed, 95 of 100Pattern checks on the skill's files.
  • Model reviewPassed

Quality evaluation

  • Task evaluationNot runNo evaluation yet. Run one in Skill Studio.

Source

Popularity

Repository stars
18
Repository forks
3
7-day trend score
15

Stars and forks are for the whole GitHub repository, not this skill alone. Not refreshed yet.

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