GitHub
ai-fluency-certification
Assess AI fluency proficiency using 5-level certification criteria (A through E) based on demonstrated capabilities across the 4D Framework dimensions.
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research llm ai AI 技能
发现 research llm ai 相关 Skills，比较来源仓库和用途，查看适合你工作流的技能说明。
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GitHub
ai-collaboration-modes
Select appropriate human-AI collaboration modes: Automation (AI acts independently), Augmentation (AI assists human work), or Agency (AI takes delegated responsibility).
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GitHub
ai-fluency-antipatterns
Recognize and avoid 15 common AI fluency anti-patterns that undermine effectiveness: over-reliance, prompt magic thinking, verification theater, and more.
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GitHub
ai-instruction-design
Control AI output through structured specifications: define roles, scope, format, decision rules, and abstraction levels. Prompts become contracts, not requests.
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GitHub
ai-4d-framework
Apply Anthropic's 4D Framework for AI delegation: Delegation (task selection), Description (instructions), Discernment (verification), and Diligence (iteration).
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GitHub
ai-problem-framing
Turn vague intent into solvable structures with explicit objectives, constraints, success criteria, and clear human vs AI responsibility boundaries.
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GitHub
ai-system-governance
Scale AI fluency beyond individuals through standards, guardrails, audit trails, and organizational policies that maintain quality and accountability.
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GitHub
ai-evaluation-verification
Retain epistemic control by validating AI outputs against logic, first principles, and reality. Detect confident nonsense, false completeness, and category errors.
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GitHub
ai-system-literacy
Build accurate mental models of AI behavior: understand context windows, probabilistic generation, hallucination causes, and predict failure modes before they occur.
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GitHub
ai-reasoning-scaffolds
Use AI as a thinking partner by injecting checklists, reasoning trees, critique loops, and stepwise logic. Delegate sub-reasoning without losing coherence.
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GitHub
ai-strategic-fluency
Use AI to reshape strategic decisions, not just execution. Identify where AI creates competitive advantage, shifts constraints, and enables new business models.
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GitHub
ai-cognitive-readiness
Develop pre-fluency cognitive habits: recognize when not to use AI, separate thinking from generation, resist automation bias and output authority.
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GitHub
bmad-parallel
Auto-detect and parallelize BMAD story tasks
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GitHub
opencode-authoring
Create and configure OpenCode agents and skills. Use when: "create agent", "new skill", "create skill", "write SKILL.md", "configure subagent", "add agent", or designing OpenCode extensions.
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GitHub
rca-copilot-agent
AI-powered RCA Copilot for root cause analysis and incident explanation. Use when: (1) Building incident context retrieval from Neptune and DynamoDB, (2) Implementing evidence ranking and root cause candidate g...
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GitHub
brand-voice
Define or extract a consistent brand voice that other skills can use. Two modes - Extract (analyze existing content you're proud of) or Build (strategically construct a voice from scratch). Use when starting a...
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GitHub
create-slide-with-openapi-image
Generate images using OpenAPI (OpenAI DALL-E) and add them to Slidev slides with proper formatting and layouts.
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GitHub
ralph-orchestrator
Build structured prompts for Ralph loops with TDD guidance, progress tracking, verification steps, and escape hatches. Invoke when starting a Ralph-based development task, creating orchestrated iteration loops,...
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GitHub
003-execute-tasks
Spawn a sub-agent using Claude, Gemini, or Codex CLI with selected model. Use when the user says "use /subagent to" followed by a task.
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GitHub
generate-workshop-slide-image
Генерація обкладинки/ілюстрації для слайду воркшопу через OpenAI Images API та вставка в Slidev.
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GitHub
fastapi-expert
Comprehensive FastAPI knowledge for building production-ready APIs from basic to planet-scale. Use when building FastAPI applications, implementing REST APIs, setting up database operations with SQLModel, imple...
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GitHub
context-degradation
Recognize, diagnose, and mitigate patterns of context degradation in agent systems. Use when context grows large, agent performance degrades unexpectedly, or debugging agent failures.
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GitHub
multi-agent-patterns
Design multi-agent architectures for complex tasks. Use when single-agent context limits are exceeded, when tasks decompose naturally into subtasks, or when specializing agents improves quality.
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GitHub
building-chat-interfaces
Build AI chat interfaces with custom backends, authentication, and context injection. Use when integrating chat UI with AI agents, adding auth to chat, injecting user/page context, or implementing httpOnly cook...
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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。