research-codebase

Solid

Conduct comprehensive codebase research by spawning parallel subagents and synthesising findings into a research document. Use when the user needs to deeply understand a codebase area or answer technical questions.

AI & Automation 30 stars 1 forks Updated today MIT

Install

View on GitHub

Quality Score: 85/100

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

Skill Content

# Research Codebase !`${CLAUDE_PLUGIN_ROOT}/bin/accelerator config context --skill research-codebase --fail-safe` !`${CLAUDE_PLUGIN_ROOT}/bin/accelerator config agents --fail-safe` If no "Agent Names" section appears above, use these defaults: accelerator:reviewer, accelerator:codebase-locator, accelerator:codebase-analyser, accelerator:codebase-pattern-finder, accelerator:documents-locator, accelerator:documents-analyser, accelerator:web-search-researcher. **Research directory**: !`${CLAUDE_PLUGIN_ROOT}/bin/accelerator config path research_codebase --fail-safe` **Plans directory**: !`${CLAUDE_PLUGIN_ROOT}/bin/accelerator config path plans --fail-safe` **Decisions directory**: !`${CLAUDE_PLUGIN_ROOT}/bin/accelerator config path decisions --fail-safe` You are tasked with conducting comprehensive research across the codebase to answer user questions by spawning parallel sub-agents and synthesising their findings. ## Initial Setup: When this command is invoked, respond with: ``` I'm ready to research the codebase. Please provide your research question or area of interest, and I'll analyse it thoroughly by exploring relevant components and connections. ``` Then wait for the user's research query. ## Steps to follow after receiving the research query: ### Step 1: Read any directly mentioned files first - If the user mentions specific files (work items, docs, JSON), read them FULLY first - **IMPORTANT**: Use the Read tool WITHOUT limit/offset parameters to read entir...

Details

Author
atomicinnovation
Repository
atomicinnovation/accelerator
Created
5 months ago
Last Updated
today
Language
HTML
License
MIT

Bundled in these plugins

Similar Skills

Semantically similar based on skill content — not just same category