vamfi/claude-user-memory/planning-methodology

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Systematic approach for creating minimal-change, reversible implementation plans. Claude invokes this skill when transforming requirements/research into executable blueprints. Emphasizes simplicity, safety, and clear verification steps.

Install

npx vskill@latest install vamfi/claude-user-memory/planning-methodology

SKILL.md

Planning Methodology Skill

This skill provides a systematic methodology for creating implementation plans that are surgical, reversible, and minimize risk while maximizing clarity.

When Claude Should Use This Skill

Claude will automatically invoke this skill when:

  • ResearchPack is ready and implementation planning is needed
  • User asks "how should we implement...", "create a plan for..."
  • Complex feature requires structured approach
  • Need to break down requirements into executable steps
  • Transforming research into actionable blueprint

Core Principles (BRAHMA Constitution)

  1. Simplicity over complexity (KISS, YAGNI)
  2. Minimal changes only - Touch fewest files possible
  3. Reversibility mandatory - Every change must be undoable
  4. Verification at each step - Clear success criteria

Planning Methodology Protocol

Step 1: Codebase Discovery (< 90 seconds)

Objective: Understand existing structure before planning changes

Actions:

  1. Structure scan (use Glob tool):

``` Search patterns:

  • Source files: src/**/*.{ext}
  • Config files: *.config.{ext}, .{ext}rc
  • Test files: /*.test.{ext}, /*.spec.{ext}
  • Documentation: docs/*.md, README.md

```

  1. Pattern recognition (use Grep + Read):
  • How similar features are currently implemented
  • Naming conventions (file names, function names)
  • Code style (indentation, formatting)
  • Import/export patterns
  • Test patterns and frameworks
  1. Integration point identification:
  • Where does new code connect to existing code?
  • Configuration files that need updates
  • Entry points (main.ts, index.js, etc.)
  • Dependency injection patterns
  1. Constraint discovery:
  • Existing dependencies that limit choices
  • Framework conventions that must be followed
  • Security/auth patterns that must be maintained
  • Performance SLAs to meet

Output:

Codebase Profile:
- Primary language: [TypeScript/Python/Go/etc.]
- Framework: [Next.js/Django/Gin/etc.]
- Structure: [src/ organization pattern]
- Test framework: [Jest/pytest/etc.]
- Key patterns: [Dependency injection / Factory / etc.]
- Integration points: [config.ts, app.ts, etc.]

Anti-stagnation: Max 90 seconds - if codebase is large, focus on areas relevant to feature only

Step 2: Minimal Change Analysis (< 60 seconds)

Objective: Identify the smallest set of changes that accomplishes the goal

Questions to answer:

  1. New vs Modify:
  • Can we extend existing code (better) or must we modify it?
  • Can new functionality live in new files (preferred)?
  • What's the smallest interface between new and existing code?
  1. Reuse vs Rebuild:
  • What existing utilities/services can be reused?
  • What patterns can we follow from similar features?
  • What must be built from scratch (minimize this)?
  1. Scope boundaries:
  • What's the absolute minimum to make feature work?
  • What's "nice to have" that can be deferred?
  • What edge cases must be handled vs can be documented as limitations?
  1. Reversibility:
  • How easily can each change be undone?
  • Are we modifying core/critical files (higher risk)?
  • Can we use feature flags for gradual rollout?

Output:

Minimal Change Strategy:
- New files: [N] (primary work here)
- Modified files: [N] (minimal edits)
- Deleted files: 0 (avoid deletions, use deprecation)
- Core files touched: [N] (minimize this)
- Reversibility: [Git revert / Config toggle / Feature flag]

Principles:

  • Prefer extension over modification
  • Prefer new files over editing existing
  • Prefer configuration over code
  • Prefer composition over inheritance
Step 3: Risk Assessment (< 30 seconds)

Objective: Identify what could go wrong and plan mitigations

Categories of risk:

  1. Breaking changes:
  • Will this affect existing functionality?
  • Are we modifying shared/core modules?
  • Could this break other features?
  1. Performance risks:
  • Will this add latency to critical paths?
  • Memory/CPU impact on existing operations?
  • Database query performance degradation?
  1. Security risks:
  • Does this handle user input (validate & sanitize)?
  • Are credentials/secrets managed properly?
  • Could this introduce injection vulnerabilities?
  1. Integration risks:
  • Dependencies on external services (what if they're down)?
  • API version mismatches?
  • Race conditions or concurrency issues?
  1. Testing gaps:
  • What's hard to unit test (integration test instead)?
  • What scenarios might we miss?
  • What's the fallback if tests don't catch an issue?

For each identified risk:

Risk: [Description]
Probability: [High/Medium/Low]
Impact: [High/Medium/Low]
Mitigation: [How to prevent]
Detection: [How we'll know if it happens]
Contingency: [What we'll do if it happens]

Anti-pattern: Don't identify risks without mitigations - every risk needs an answer

Step 4: Implementation Sequence (< 30 seconds)

Objective: Order the work for safety and clarity

Sequencing principles:

  1. Dependencies first: Build foundation before dependent features
  2. Tests alongside: Write tests as you implement (or before - TDD)
  3. Incremental integration: Connect to existing system gradually
  4. Verification checkpoints: Each step has clear pass/fail criteria

Step structure:

Step N: [Action verb] [What]
- Task: [Detailed description]
- Files: [Which files to change]
- Code: [Specific code examples]
- Verification: [How to confirm success]
- Time estimate: [X minutes]

Verification methods:

  • Unit test passes: npm test path/to/test
  • Build succeeds: npm run build
  • Manual check: "Navigate to X and confirm Y is visible"
  • Integration test: npm run test:integration
  • Performance check: npm run benchmark (if applicable)

Total time estimate: Sum of all step estimates + 20% buffer

Step 5: Rollback Planning (< 20 seconds)

Objective: Ensure every change can be undone safely

Rollback mechanisms (in priority order):

  1. Git revert (simplest):

``bash git reset --hard [checkpoint-commit] `` Good when: All changes in one commit, no DB migrations

  1. Feature flag toggle (gradual rollout):

``javascript if (featureFlags.newFeature === true) { // new code } else { // old code } `` Good when: Want to test in production, quick rollback needed

  1. Configuration rollback:

Restore previous config files Good when: Changes are mostly configuration-driven

  1. Partial rollback:

Keep working parts, revert broken parts Good when: Multiple independent changes, some work

Rollback plan must include:

  • Exact commands to execute
  • Verification steps after rollback
  • Data migration rollback (if DB changes made)
  • Cache invalidation (if caching involved)

Rollback triggers (when to execute rollback):

  • Tests fail in production
  • Performance degrades > [threshold]%
  • Error rate increases > [threshold]%
  • Critical functionality breaks
Step 6: Plan Documentation (< 30 seconds)

Objective: Structure all above findings into clear, executable plan

Implementation Plan Format:

markdown
# πŸ—ΊοΈ Implementation Plan: [Feature Name]
## Summary
[2-3 lines: what + why + approach]
## πŸ“ File Changes
[New: N, Modified: N, with specific purposes]
## πŸ”’ Implementation Steps
[Numbered steps with verification]
## πŸ§ͺ Test Plan
[Unit + integration + manual tests]
## ⚠️ Risks & Mitigations
[Each risk with mitigation and contingency]
## πŸ”„ Rollback Plan
[Exact rollback procedure]
## βœ… Success Criteria
[Clear definition of "done"]

Checklist before delivering:

  • βœ“ Every file change has a clear purpose
  • βœ“ Every step has verification method
  • βœ“ All risks have mitigations
  • βœ“ Rollback plan is complete and tested (if possible)
  • βœ“ Success criteria are measurable
  • βœ“ Time estimates are realistic

Quality Standards

Completeness
  • File changes: Specify exact files with line-level changes where possible
  • Steps: Each step is atomic (can be done and verified independently)
  • Tests: Cover happy path + at least 2 edge cases + 1 error case
  • Risks: All major risks identified (breaking, performance, security)
Clarity
  • Actionable: Developer can execute without additional questions
  • Verifiable: Each step has objective pass/fail criteria
  • Unambiguous: No "probably" or "maybe" - specific instructions only
Safety
  • Reversible: Every change can be undone
  • Incremental: Changes build up gradually (not big bang)
  • Validated: Tests verify correctness at each step
  • Isolated: Failure of one step doesn't break entire system

Common Pitfalls to Avoid

❌ Don't:

  • Plan modifications to many files simultaneously (hard to verify)
  • Skip risk assessment ("hope for the best")
  • Forget rollback plan
  • Make plans that require perfect execution (allow for errors)
  • Over-engineer ("we might need this someday")
  • Under-estimate time (plans should be realistic)

βœ… Do:

  • Touch fewest files possible (minimal blast radius)
  • Identify risks and plan mitigations explicitly
  • Always include rollback procedure
  • Build in verification checkpoints at every step
  • Follow YAGNI (You Aren't Gonna Need It) - only what's needed now
  • Add 20% time buffer for unexpected issues

Integration with knowledge-core.md

Before planning: Read knowledge-core.md to check for:

  • Architectural patterns established in past projects
  • Decisions that constrain current work
  • Known gotchas in this codebase

After planning: If plan establishes new patterns, note for knowledge-core update:

New Pattern Established:
- Pattern: [Name/description]
- Context: [When to use this]
- Example: [Which files demonstrate this]

Performance Targets

  • Total planning time: < 3 minutes for typical features
  • Plan accuracy: 95%+ of files identified correctly
  • Risk coverage: 100% of major risks identified
  • Time estimates: Within 30% of actual implementation time

Example Usage

Scenario: ResearchPack ready for Redis caching, need implementation plan

Claude (using this skill):

[Internal: Need to plan Redis integration systematically]
πŸ“ Activating planning-methodology skill
πŸ”Ž Analyzing codebase structure...
[Follows methodology: discover β†’ analyze β†’ assess β†’ sequence β†’ rollback β†’ document]
# πŸ—ΊοΈ Implementation Plan: Redis Caching
## Summary
Add Redis-based caching layer to ProductService to reduce database load.
Approach: Create separate CacheService wrapper, inject into ProductService,
maintain backward compatibility via optional usage.
## πŸ“ File Changes (5 files)
### New Files (2)
1. `src/services/CacheService.ts` (~80 lines)
- Purpose: Redis client wrapper with get/set/del/ttl operations
- Exports: CacheService class
- Dependencies: redis@4.6.0, config
[...rest of detailed plan following format]
βœ… Plan ready for implementation

This skill ensures plans are safe, minimal, clear, and executable - setting up @code-implementer for success.

Security

  • Security scanPassed, 100 of 100Pattern checks on the skill's files.
  • Model reviewNot runA model review is scheduled for the next rescan.

Quality evaluation

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

Source

Popularity

Repository stars
212
Repository forks
32
7-day trend score
32

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

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