Découvrez les skills tools llm ai, comparez leurs dépôts et consultez leurs instructions.
Enhanced meta-orchestration for selecting and combining reasoning patterns. Now includes 9 methodologies (ToT, BoT, SRC, HE, AR, DR, AT, RTR, NDF) with weighted multi-dimensional selection, feedback loops, unce...
Parallel execution patterns for cognitive reasoning tasks. Use when independent sub-problems can be solved simultaneously, multiple solution approaches need exploration, ensemble confidence is required, or time...
Protocol for cognitive pattern handovers during complex reasoning sessions. Defines .reasoning/ directory structure, handover schemas, and IR-v2 orchestration integration. Use when reasoning sessions require mi...
Self-improving agent architecture using ChromaDB for continuous learning, self-evaluation, and improvement storage. Agents maintain separate memory collections for learned patterns, performance metrics, and sel...
Meta-orchestration guide for choosing optimal reasoning patterns. Analyzes problem characteristics and recommends which cognitive methodology to use - tree-of-thoughts (find best), breadth-of-thought (explore a...
Teaches document writing patterns and templates that agents apply when generating documentation, reports, contracts, guides, and technical writing. Use when creating API docs, user guides, reports, changelogs,...
Advanced recursive reasoning methodology for systematic problem-solving. Use when you need to explore multiple solution approaches in parallel, evaluate them rigorously, and recursively deepen the best path. Id...
Comprehensive guide for creating high-quality specialized agents following v2 architecture patterns. Use this skill when users need to design and implement new agents, understand agent architecture, or learn be...
Cross-domain reasoning for novel problems through structured analogy. Use when facing unprecedented problems where the best approach is finding similar solved problems in other domains. Unlike BoT (explores opt...
Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Claude's capabilities with specialized knowledge, workflows, or to...
Calculate training costs for Tinker fine-tuning jobs. Use when estimating costs for Tinker LLM training, counting tokens in datasets, or comparing Tinker model training prices. Tokenizes datasets using the corr...
Comprehensive guide for Tinker Cookbook supervised fine-tuning covering all patterns including high-level Cookbook abstractions, low-level API usage, streaming datasets, file-based data, Blueprint configuration...
This skill should be used when the user asks to "fetch a webpage", "download HTML", "scrape content", "get website content", "render JavaScript page", or similar requests for web content retrieval. Provides bes...
AI-powered text-to-speech CLI tool. Use for pronunciation queries, reading text aloud, generating audio files, or language practice. Triggers on "how to pronounce", "say this", "read aloud", "TTS", "text to spe...
Safely terminate the current Claude Code session. Use when user explicitly asks to end session.
Display text using RSVP speed reading. Use when presenting explanations, summaries, or any text the user should read quickly. Launches speed-read script with the provided text.
Personal knowledge management system using Graphiti knowledge graph with FalkorDB. USE WHEN user says 'store this', 'remember this', 'add to knowledge', 'search my knowledge', 'what do I know about', 'find in m...
AI辅助写作工作流，通过四阶段流程（学习→结构→写作→成稿）帮助用户高效创作。适用于：(1) 写文章/博客/报告时需要整理思路，(2) 有想法但不知如何组织结构，(3) 需要通过对话激发灵感，(4) 希望AI辅助但保持内容控制权。触发...
An expert tool that analyzes and rewrites user prompts to maximize LLM efficacy. Use this when the user asks to "rewrite", "optimize", "improve", or "refine" a prompt.
Execute Gemini CLI for AI-powered code analysis and generation. Use when you need to leverage Google's Gemini models for complex reasoning tasks.
Phase execution protocol to prevent context drift during long development sessions. MUST be read at the start of each phase and referenced in the last TODO of each phase. This ensures AI maintains context acros...
External AI code review using Codex or Gemini. Reads project.yaml to determine which provider to use for frontend vs backend tasks. Includes hallucination detection to avoid blindly applying AI suggestions.
Systems Manager System Management capabilities for A2A Agent.
Understand and navigate the codebase using semantic search and AI analysis.
Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.