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SkillsMP ha recopilado 5417 skills de majiayu000/claude-skill-registry. Abre una skill para revisar su origen y sus detalles.
majiayu000/claude-skill-registryMostrando 40 de 5417 skills recopiladas.
Activates the Pickle Rick persona. Use this ONLY when the user explicitly requests to start the "Pickle Rick" mode or loop. DO NOT use this for general greetings (e.g., "hi") normal assistance.
Idioma del texto original: inglés
Detect user's intent from their message and activate the right workflow silently.
Idioma del texto original: inglés
Structured checkpoint format for requesting human input. When an agent needs a decision, it must stop, present context, show options, and wait. Activate when delegating to subagents, running background tasks, or hitting any decision point that requires human…
Idioma del texto original: inglés
MANDATORY protocol enforcing knowledge check before EVERY response - prevents explaining systems without reading docs, claiming without verification, and ignoring auto-loaded context
Idioma del texto original: inglés
Validation agent that validates plan tech choices against current best practices
Idioma del texto original: inglés
Interactive onboarding agent for content marketing associate candidates and vault orientation for Charlie. Walks candidates through the OpenEd content system, discovers their strengths, guides them to produce real output, and helps them write a contract…
Idioma del texto original: inglés
Ultimate autonomous execution engine. Plan → Execute → Test → Never Stop Until Done. Use when the user wants hands-off completion with no questions, automatic recovery from any failure, and proven results.
Idioma del texto original: inglés
Short alias for vc-phase-loop. Use when the user invokes "vcf:" or "use vcf:" and wants maximum hands-off completion.
Idioma del texto original: inglés
Create and configure VoltAgent AI agents with tools, memory, hooks, and sub-agents. Use when building AI agents, adding agent tools, configuring VoltAgent memory, creating multi-agent workflows, or debugging VoltAgent integrations.
Idioma del texto original: inglés
Focused task execution for persistent team workers. Use when implementing features, following scope constraints, using TDD red-green-refactor, validating with browser/API/unit tests, or participating in voting consensus. Triggers on worker execution, feature…
Idioma del texto original: inglés
Execute beads autonomously within a track. Handles bead-to-bead context persistence via Agent Mail, uses preferred tools from AGENTS.md, and reports progress to orchestrator.
Idioma del texto original: inglés
Train and deploy generative UI agents using behavioral programming constraints, A2A protocol for agent interoperability, and pattern registry for composition. Use when working with agent training, trajectory generation, reward computation, A2A integration, or…
Idioma del texto original: inglés
Complete fixer agent workflow including report discovery, validation strategy (HIGH/MEDIUM/FALSE_POSITIVE confidence), fix application, and fix report generation. Use when implementing or updating fixer agents.
Idioma del texto original: inglés
Step-by-step validation workflow for checker agents - initialize report, discover content, validate progressively, finalize with summary. Use when implementing or updating checker agents.
Idioma del texto original: inglés
Use when the user wants to create a new Claude Code subagent. Guides subagent creation with focused prompts and constrained tool access.
Idioma del texto original: inglés
Create a reusable skill for evaluating fine-tuned models, benchmarking performance, and detecting quality regressions
Idioma del texto original: inglés
Create your llmops-fine-tuner skill from Unsloth documentation before learning fine-tuning theory
Idioma del texto original: inglés
"This skill should be used when evaluating whether fine-tuning is appropriate for an LLMOps project. Use when analyzing domain use cases, comparing training methods, calculating ROI, or deciding between API-based and self-hosted solutions."
Idioma del texto original: inglés
"This skill should be used when fine-tuning for personality, brand voice, or communication style. Use when the goal is HOW a model communicates rather than WHAT it knows."
Idioma del texto original: inglés
"This skill should be used when fine-tuning language models for reliable tool-calling and structured output generation. Use when creating agent backends, training for function calling, or building models that need 95%+ JSON accuracy."
Idioma del texto original: inglés
"This skill should be used when combining multiple LoRA adapters or fine-tuned models into a single unified model. Use when students have trained separate adapters for different capabilities (persona, tool-calling, domain knowledge) and need to merge them…
Idioma del texto original: inglés
Create your model-alignment skill from TRL documentation before learning DPO theory
Idioma del texto original: inglés
Create your model-serving skill from Ollama documentation before learning deployment theory
Idioma del texto original: inglés
Consolidate all Part 8 skills into a production-ready llmops-fine-tuner skill
Idioma del texto original: inglés
ADHD-optimized code explainer. Generates layered, scannable explanations with hooks, maps, and progress markers.
Idioma del texto original: inglés
Build RAG (Retrieval-Augmented Generation) agents with Google ADK and Vertex AI RAG Engine. Use when implementing document Q&A, knowledge base search, or citation-backed responses. Covers VertexAiRagRetrieval tool, corpus setup, and citation formatting.
Idioma del texto original: inglés
Use when you want to improve response quality through meta-cognitive reasoning. Applies 15+ reasoning methods to reconsider and refine initial outputs.
Idioma del texto original: inglés
Context-efficient tool management via search, deferred loading, and programmatic calling
Idioma del texto original: inglés
Iteratively refine a product spec by debating with multiple LLMs (GPT, Gemini, Grok, etc.) until all models agree. Use when user wants to write or refine a specification document using adversarial development.
Idioma del texto original: inglés
Expert AI engineer specializing in AI system design, model implementation, and production deployment. Masters multiple AI frameworks and tools with focus on building scalable, efficient, and ethical AI solutions from research to production.
Idioma del texto original: inglés
Imported skill agents from vercel
Idioma del texto original: inglés
Real-time cost tracking, budget enforcement, and ROI measurement for AI agent operations. Track token usage, predict costs, enforce budget caps ($50-70/month typical), optimize model selection, cache results, measure cost-to-value. Use when tracking AI costs,…
Idioma del texto original: inglés
Design and implement evaluation frameworks for AI agents. Use when testing agent reasoning quality, building graders, doing error analysis, or establishing regression protection. Framework-agnostic concepts that apply to any SDK.
Idioma del texto original: inglés
Expert LLM architect specializing in large language model architecture, deployment, and optimization. Masters LLM system design, fine-tuning strategies, and production serving with focus on building scalable, efficient, and safe LLM applications.
Idioma del texto original: inglés
Layer 4: Learning and Pattern Extraction for Cognitive Surrogate Systems
Idioma del texto original: inglés
Central authority for Claude Agent SDK (TypeScript and Python SDKs). Covers SDK installation, authentication (Anthropic key, Bedrock, Vertex), sessions and resumption, forking sessions, streaming vs single mode, custom tools, permissions (allowedTools,…
Idioma del texto original: inglés
Guidance for selecting appropriate AI model (sonnet vs haiku) based on task complexity, reasoning requirements, and performance needs. Use when implementing agents or justifying model selection.
Idioma del texto original: inglés
Guidance for selecting appropriate AI model (sonnet vs haiku) based on task complexity, reasoning requirements, and performance needs. Use when implementing agents or justifying model selection.
Idioma del texto original: inglés
Run 150+ AI apps via inference.sh CLI - image generation, video creation, LLMs, search, 3D, Twitter automation. Models: FLUX, Veo, Gemini, Grok, Claude, Seedance, OmniHuman, Tavily, Exa, OpenRouter, and many more. Use when running AI apps, generating…
Idioma del texto original: inglés
LLM prompt management and evaluation platform. Version prompts, run A/B tests, evaluate with metrics, and deploy with confidence using Agenta's self-hosted solution.
Idioma del texto original: inglés