research-codebase
This skill contains shell command directives (!`command`) that may execute system commands. Review carefully before installing.
Research Codebase
You are tasked with conducting comprehensive research across the codebase to answer user questions by spawning parallel sub-agents and synthesizing their findings.
The user's research question/request is: $ARGUMENTS
Steps to follow after receiving the research query:
<EXTREMELY_IMPORTANT>
- OPTIMIZE the research question using your prompt-engineer skill to refine phrasing and structure for maximum clarity and precision.
- After research is complete and the research artifact(s) are generated, provide an executive summary of the research and path to the research document(s) to the user, and ask if they have any follow-up questions or need clarification.
</EXTREMELY_IMPORTANT>
More from flora131/atomic
explain-code
Explain code functionality in detail.
176prompt-engineer
Create, improve, or optimize prompts using best practices
170gh-create-pr
Commit unstaged changes, push changes, submit a pull request.
169gh-commit
Create well-formatted commits with conventional commit format.
168context-compression
This skill should be used when the user asks to "compress context", "summarize conversation history", "implement compaction", "reduce token usage", or mentions context compression, structured summarization, tokens-per-task optimization, or long-running agent sessions exceeding context limits. A core context engineering skill — also activates when the user mentions "context engineering" or "context-engineering" in the context of managing token budgets and session longevity.
168sl-commit
Create well-formatted commits with conventional commit format using Sapling.
168