reasoning-agent-rules
Common reasoning protocol shared across all subagents.
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Common reasoning protocol shared across all subagents.
Orchestrate gummy-agents across distributed network using 'd' command for load-balanced, multi-host AI development
Autonomous skill extraction from debugging discoveries. Activates when agents find non-obvious solutions through investigation, experimentation, or trial-and-error. Captures these discoveries as reusable skills...
Imported skill init_skill from anthropic
Imported skill skill from openai
Extended investigation for technology evaluation, competitive analysis, architectural exploration, and best practices research. Unlike spike (time-boxed hours), deep-research supports multi-day comprehensive in...
Imported skill commands from langchain
Imported skill node_mcp_server from anthropic
Imported skill skill from anthropic
Extract reusable, non-obvious learnings from a completed task into new Codex agent skills (SKILL.md). Use when the user asks to run codeception, do a retrospective, save/extract a skill, or turn a workaround in...
Imported skill skill from langchain
Imported skill skills from langchain
Imported skill readme from langchain
Imported skill readme from anthropic
Imported skill init_skill from langchain
Manage the SoNash expansion evaluation process for reviewing ~280 feature and technical ideas across 21 modules. This skill should be used when the user wants to evaluate expansion ideas, track progress, make d...
Imported skill init_skill from openai
Imported skill claude from vercel
Create and maintain effective AGENTS.md files following OpenAI best practices. Keep instructions brief, unlock agentic loops, document gotchas, and reference task-specific files. Use when setting up or improvin...
Analyzes completed agent sessions to identify what went well, what went wrong, and patterns to improve. Reads from .claude/ folder (session logs, progress.md, git history) and produces actionable insights. Use...
Time-boxed technical investigation with structured output. Use for feasibility studies, architecture exploration, integration assessment, performance analysis, or risk evaluation. Creates spike tasks in ohno, e...
Transform → Validate → Optimize pipeline (auto-chained)
Strategies for effective time management, prioritization, and sustainable productivity for software developers
Ensure Acceptance Criteria map to Tasks and Tests for PR-per-story workflow
默认按已收录数据中的 GitHub 仓库 Stars 排序。Stars 属于来源仓库,同一仓库的多个技能可能共享相同数值;它反映仓库关注度,不代表单个技能的安装量或质量评分。