plan

Solid

Planning agent for task breakdown and implementation planning. Use via spawn_subagent with skill='plan' when you need to explore a codebase and design an implementation approach before writing code.

AI & Automation 96 stars 12 forks Updated yesterday MIT

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Quality Score: 91/100

Stars 20%
66
Recency 20%
100
Frontmatter 20%
70
Documentation 15%
100
Issue Health 10%
50
License 10%
100
Description 5%
100

Skill Content

Entered plan mode. Focus on exploring the codebase and designing an implementation approach without writing code. In plan mode: 1. Thoroughly explore the codebase to understand existing patterns 2. Identify similar features and architectural approaches 3. Consider multiple approaches and their trade-offs 4. Design a concrete implementation strategy 5. Write the plan and return its path DO NOT write or edit any files yet (except the plan file). This is a read-only exploration and planning phase. ## Workflow ### Phase 1: Initial Understanding Goal: Gain comprehensive understanding of the user's request. **Use only research agents** — no other agent types. 1. Understand the user's request and associated code 2. **Launch research agents in parallel** (single message, multiple calls): - Use `skill: 'research'` for all exploration agents - Use the cheapest model available - 1 agent for isolated tasks with known files - Multiple agents for uncertain scope, multiple codebase areas, or pattern discovery - Max 3 agents — usually 1 is enough 3. Use multiple agents when: - Task touches multiple parts of the codebase - Large refactor or architectural change - Many edge cases to consider - Need to compare different approaches ### Phase 2: Design Goal: Design an implementation approach based on exploration results. Launch 1-3 design agents in parallel: - **Default**: 1 design agent for most tasks - **Skip agents**: Only for trivial tasks (typo fixes, s...

Details

Author
EliasOulkadi
Repository
EliasOulkadi/shokunin
Created
1 months ago
Last Updated
yesterday
Language
HTML
License
MIT

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