plan
Decompose a feature request into a detailed implementation plan with task breakdown, dependencies, and risk assessment.
Skill by eroslifestyle
Chalk Labs
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About
Use cases: productivity
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What's inside
- Skill name
plan- Description
- Decompose a feature request into a detailed implementation plan with task breakdown, dependencies, and risk assessment. Use /plan for structured planning.
- License
- MIT
- Allowed tools
- Read,, Grep,, Glob,, Task
- Instructions
- 86 lines in SKILL.md · view on GitHub
Files (1)
- SKILL.md
SKILL.md (first lines)
# Plan Skill - Structured Implementation Planning ## Purpose Decompose any feature request or task into a detailed, actionable implementation plan before writing any code. This ensures clarity, reduces rework, and enables parallel execution. ## Trigger User invokes `/plan <feature description>` or orchestrator delegates planning tasks. ## Algorithm 1. **CAPTURE** the feature description from user input 2. **EXPLORE** the codebase to understand current architecture: - Use Glob to find relevant files by pattern - Use Grep to find related functions, classes, imports - Use Read to understand key files in detail 3. **DELEGATE** deep analysis to Analyzer agent via Task tool: - Identify affected modules and their relationships - Map existing patterns and conventions in use - Find integration points for the new feature 4. **PRODUCE** the structured plan (see Output Format below) 5. **PRESENT** the plan to the user for review/approval ## Output Format The plan MUST follow this exact structure: ```markdown # Implementation Plan: <Feature Name> ## 1. Requirements Summary - <Bullet list of what the feature must do> - <Include non-functional requirements: performance, security, etc.> ## 2. Task Breakdown | # | Task | Dependencies | Parallel Group | |---|------|--------------|----------------| | 1 | <task description> | None | A | | 2 | <task description> | T1 | B | | 3 | <task description> | None | A | ## 3. Files to Create/Modify | Action | File Path | Description | |--------|-----------|-------------| | CREATE | path/to/new.py | <what it contains> | | MODIFY | path/to/existing.py | <what changes> | ## 4. Risk Assessment | Risk | Impact | Likelihood | Mitigation | |------|--------|------------|------------| | <risk> | HIGH/MED/LOW | HIGH/MED/LOW | <action> | ## 5. Testing Strategy - Unit tests: <what to test> - Integration tests: <what to test> - Edge cases: <list> ## 6. Estimated Complexity **Rating:** S / M / L / XL **Rationale:** <why this rating> ``` ## Complexity Scale | Size | Meaning | Tasks | Files | Time Estimate | |------|---------|-------|-------|---------------| | S | Simple | 1-3 | 1-2 | < 30 min | | M | Medium | 4-8 | 3-6 | 30 min - 2 hr | | L | Large | 9-15 | 7-15 | 2 - 8 hr | | XL | Extra Large | 16+ | 16+ | 8+ hr | ## Rules - NEVER write code during planning - only analyze and plan - ALWAYS identify dependencies between tasks explicitly - ALWAYS group independent tasks for parallel execution - If the codebase is unfamiliar, spend more time on exploration (step 2) - Flag any ambiguities back to the user before finalizing the plan - Include rollback strategy for risky changes
From eroslifestyle/Claude-Orchestrator-AI-Evolution, MIT.
More from eroslifestyle/Claude-Orchestrator-AI-Evolution
Signals
- Stars
- 1
- Forks
- 0
- Open issues
- 0
- Last commit (this folder)
- Mar 7, 2026 (7 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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plan skill. Agent Mart. https://agentmart.dev/skills/eroslifestyle-plan (last updated 2026-10-24)