survey-patterns

Solid

Survey the codebase for analogous features, reusable utilities, and existing patterns relevant to a proposed change. Returns structured findings without writing code. Use when the user asks to "survey patterns", "find existing patterns", "look for analogous features", "check how similar things are done", "find prior art for this change", or needs pattern context before planning a change.

AI & Automation 335 stars 26 forks Updated 5 days ago MIT

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Quality Score: 87/100

Stars 20%
84
Recency 20%
100
Frontmatter 20%
70
Documentation 15%
62
Issue Health 10%
80
License 10%
100
Description 5%
100

Skill Content

# Survey Patterns Search the codebase for analogous features and reusable building blocks before planning a change. Returns structured findings. Does not write code or plans. ## Step 1: Identify the Task Determine what the change is about: - If a task description was passed in, use it - Otherwise, derive it from conversation context (the user's latest request) State the task back in one sentence to confirm scope before searching. ## Step 2: Spawn Pattern Survey Subagent Spawn a single subagent (`model: "opus"`, do not set `run_in_background`). The subagent's prompt must include: 1. The confirmed task description from Step 1 2. An instruction to read [references/pattern-surveyor.md](references/pattern-surveyor.md) for survey guidelines, categories, and output format before searching The subagent covers all three categories (Analogous Features, Reusable Utilities, Convention Anchors) in one sweep and returns a single structured report. ## Step 3: Output Findings Output the subagent's report verbatim. Do not reformat or re-synthesize — `references/pattern-surveyor.md` specifies the exact output format the subagent produces. ## Rules - Do not write files. - Absolute file paths only. - Do not propose implementation steps.

Details

Author
tobihagemann
Repository
tobihagemann/turbo
Created
3 months ago
Last Updated
5 days ago
Language
Python
License
MIT

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