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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 Skills
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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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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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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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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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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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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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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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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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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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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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bmad-parallel
Auto-detect and parallelize BMAD story tasks
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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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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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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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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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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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The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.