planning-patterns

Solid

Structured planning methodology with research, brainstorming, phased plan creation, risk assessment, and plan-to-build continuity.

AI & Automation 814 stars 53 forks Updated today MIT

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Skill Content

# Planning Patterns ## Overview Structured methodology for comprehensive planning that flows directly into BUILD execution through plan-to-build continuity. ## Planning Process ### 1. Research Phase - Search for existing solutions and patterns - Identify relevant libraries and tools - Find best practices in the domain - Check for known pitfalls ### 2. Brainstorming Phase - Generate at least 3 alternative approaches - Evaluate trade-offs: complexity, time, risk, scalability - Consider build-vs-buy decisions - Rank by feasibility and alignment ### 3. Plan Creation - Structure with phases, tasks, and milestones - Define acceptance criteria per phase - Map dependencies between tasks - Include risk assessment with mitigations - Define TDD strategy per coding phase - Estimate effort and timeline ### 4. Review Gate - Verify completeness against original request - Validate logical phase ordering - Check actionability of risk mitigations - Score plan completeness (>=80 to pass) ## Plan-to-Build Continuity - Save plans to `docs/plans/` directory - Reference plan file in session memory - BUILD workflow reads plan during requirements clarification - Component-builder follows documented phases ## When to Use - PLAN workflow (primary) - Any task requiring strategic thinking before execution ## Agents Used - `planner` (primary consumer) - `github-researcher` (research phase)

Details

Author
a5c-ai
Repository
a5c-ai/babysitter
Created
4 months ago
Last Updated
today
Language
JavaScript
License
MIT

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