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/babysitter18602026年9月17日 更新
免费在 GitHub 公开
plan-writing
Transform research findings into actionable implementation plans with stakes-based rigor, test-first strategy, and granular task decomposition.
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.md1.7 KB
- README.md663 B
SKILL.md（原文）
安装前可以查看交给 AI 代理的指令内容。
- Before implementing any medium or high stakes changes
- When requirements are clear and codebase is understood
Process
- Load research - Find
*-<topic>-research.mdindocs/plans/ - Classify stakes - Low (isolated, reversible), Medium (multiple files), High (architectural)
- Define success criteria - Functional, non-functional, and acceptance criteria
- Decompose tasks - Granular steps with file paths, line references, verification methods
- Plan tests - Test specification as first sub-step per task (test-first)
- Assess risks - Breaking changes, performance, security, dependencies, rollback strategy
- Write plan document -
docs/plans/YYYY-MM-DD-<topic>-plan.md - Approval gate - Human approves, requests changes, or returns to research
Anti-Patterns to Avoid
- Vague task descriptions without specific file references
- Missing verification criteria for any step
- Combining test writing and implementation into single steps
- Planning rigor mismatched to stakes level
- Proceeding without explicit user approval
Tool Use
Invoke via babysitter process: methodologies/rpikit/rpikit-plan
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/babysitter18602026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/babysitter18602026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/babysitter18602026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/babysitter18602026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/babysitter18602026年9月17日 更新