Provide implementations of advanced data structures
中文简介正在准备中。当前显示原文说明。
a5c-ai/babysitter18632026年9月17日 更新
免费在 GitHub 公开
codebase-research
Systematic codebase exploration following the Iron Law - understand the problem before exploring code. Four phases with file-finder and web-researcher agents.
中文简介正在准备中。当前显示原文说明。
查看安装方法包含的文件（2）
- SKILL.md1.6 KB
- README.md593 B
SKILL.md（原文）
安装前可以查看交给 AI 代理的指令内容。
- Investigating how an existing feature works before modifying it
- Understanding dependencies and data flows before planning
- Gathering context for a known goal
Process
- Understand the request - Ask clarifying questions one at a time (purpose, specifics, scope, constraints, context). Do NOT read any files until confirmed.
- Explore the codebase - Use file-finder agent, read in order, trace data flows, identify constraints.
- Document findings - Write structured research document to
docs/plans/YYYY-MM-DD-<topic>-research.md. - Transition - Ask: plan, continue research, or conclude.
Key Rules
- Quotations from source material capped at 125 characters maximum
- Only proceed to exploration after human confirms understanding
- Use file-finder agent for initial file discovery
- Use web-researcher agent for external context needs
Agents Used
agents/file-finder/- Locates relevant files with suggested reading orderagents/web-researcher/- Gathers external context when needed
Tool Use
Invoke via babysitter process: methodologies/rpikit/rpikit-research
评价
还没有评价。欢迎分享你的使用感受。
评论
无需登录即可发表。欢迎分享使用感受、提问，或说明在哪些环境下无法运行。
还没有评论。来写第一条吧。
同一仓库的技能
Fresh adversarial code review with binary PASS/FAIL verdicts, evidence citations, and anchoring bias prevention via fresh reviewer spawning.
中文简介正在准备中。当前显示原文说明。
a5c-ai/babysitter18632026年9月17日 更新
WASM-based instant code transforms for simple tasks, achieving 352x speedup over LLM inference with zero cost.
中文简介正在准备中。当前显示原文说明。
a5c-ai/babysitter18632026年9月17日 更新
Coordinate Crew (persistent) and Polecat (transient) agents using Gas Town's hook-based work distribution and GUPP principle.
中文简介正在准备中。当前显示原文说明。
a5c-ai/babysitter18632026年9月17日 更新
Generate visual representations of algorithm execution
中文简介正在准备中。当前显示原文说明。
a5c-ai/babysitter18632026年9月17日 更新
Hierarchical coordination and drift detection with frequent checkpoints, shared memory coherence validation, role specialization enforcement, and short task cycles.
中文简介正在准备中。当前显示原文说明。
a5c-ai/babysitter18632026年9月17日 更新