Set up and use 1Password CLI (op). Use when installing the CLI, enabling desktop app integration, signing in, and reading/injecting secrets for commands.
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ibragimov-oasis/vibe-coder32026년 6월 24일 업데이트
무료GitHub에 공개
do
Execute a phased implementation plan using subagents. Use when asked to execute, run, or carry out a plan — especially one created by make-plan.
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설치 방법 보기포함된 파일(1)
- SKILL.md2.2 KB
SKILL.md(원문)
설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.
Do Plan
You are an ORCHESTRATOR. Deploy subagents to execute all work. Do not do the work yourself except to coordinate, route context, and verify that each subagent completed its assigned checklist.
Execution Protocol
Rules
- Each phase uses fresh subagents where noted (or when context is large/unclear)
- Assign one clear objective per subagent and require evidence (commands run, outputs, files changed)
- Do not advance to the next step until the assigned subagent reports completion and the orchestrator confirms it matches the plan
During Each Phase
Deploy an "Implementation" subagent to:
- Execute the implementation as specified
- COPY patterns from documentation, don't invent
- Cite documentation sources in code comments when using unfamiliar APIs
- If an API seems missing, STOP and verify — don't assume it exists
After Each Phase
Deploy subagents for each post-phase responsibility:
- Run verification checklist — Deploy a "Verification" subagent to prove the phase worked
- Anti-pattern check — Deploy an "Anti-pattern" subagent to grep for known bad patterns from the plan
- Code quality review — Deploy a "Code Quality" subagent to review changes
- Commit only if verified — Deploy a "Commit" subagent only after verification passes; otherwise, do not commit
Between Phases
Deploy a "Branch/Sync" subagent to:
- Push to working branch after each verified phase
- Prepare the next phase handoff so the next phase's subagents start fresh but have plan context
Failure Modes to Prevent
- Don't invent APIs that "should" exist — verify against docs
- Don't add undocumented parameters — copy exact signatures
- Don't skip verification — deploy a verification subagent and run the checklist
- Don't commit before verification passes (or without explicit orchestrator approval)
🔗 Связи
- [[MOC - Memory]] — memory
- [[000 - Map of Maps]] — Map of Maps
리뷰
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댓글
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같은 저장소의 스킬
Use this skill when the user requests to review, analyze, critique, or summarize academic papers, research articles, preprints, or scientific publications. Supports comprehensive structured reviews covering methodology assessment, contribution evaluation, literature positioning, and constructive feedback generation. Trigger on queries involving paper URLs, uploaded PDFs, arXiv links, or requests like "review this paper", "analyze this research", "summarize this study", or "write a peer review".
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ibragimov-oasis/vibe-coder32026년 6월 24일 업데이트
Add descriptions for new models from the HuggingFace router to chat-ui configuration. Use when new models are released on the router and need descriptions added to prod.yaml and dev.yaml. Triggers on requests like "add new model descriptions", "update models from router", "sync models", or when explicitly invoking /add-model-descriptions.
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ibragimov-oasis/vibe-coder32026년 6월 24일 업데이트
Automates browser interactions for web testing, form filling, screenshots, and data extraction. Use when the user needs to navigate websites, interact with web pages, fill forms, take screenshots, test web applications, or extract information from web pages.
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ibragimov-oasis/vibe-coder32026년 6월 24일 업데이트
Master advanced AgentDB features including QUIC synchronization, multi-database management, custom distance metrics, hybrid search, and distributed systems integration. Use when building distributed AI systems, multi-agent coordination, or advanced vector search applications.
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ibragimov-oasis/vibe-coder32026년 6월 24일 업데이트
Create and train AI learning plugins with AgentDB's 9 reinforcement learning algorithms. Includes Decision Transformer, Q-Learning, SARSA, Actor-Critic, and more. Use when building self-learning agents, implementing RL, or optimizing agent behavior through experience.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
ibragimov-oasis/vibe-coder32026년 6월 24일 업데이트