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Skills IA tools llm ai

Découvrez les skills tools llm ai, comparez leurs dépôts et consultez leurs instructions.

Catégories: tools llm ai

10,993–11,016 sur 13,071

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Explorer

GitHub

cartographer

stephenwinters81

Tree of Thoughts exploration for brainstorming and finding unknown unknowns. Recursively branches hypotheses, ranking by NOVELTY not probability. Use for idea generation, creative unblocking, exploring possibil...

GitHub

red-team-research

stephenwinters81

Adversarial research validation using Red Team/Blue Team methodology. Use when researching complex topics, fact-checking claims, or producing research reports. Validates outputs through Gemini 3 Pro critic befo...

GitHub

gemini-cli-model

stephenwinters81

Instructions for selecting and configuring Gemini 3 Pro Preview model in Gemini CLI. Use when the user asks about switching models in Gemini CLI, enabling Gemini 3, or configuring Gemini CLI model settings.

GitHub

triumvirate

stephenwinters81

3x3 Parallel Debate system for high-confidence research. Spawns 9 agent instances (3 Proposer/Skeptic/Judge cohorts) to argue, critique, and adjudicate claims. Use for complex queries, controversial topics, or...

GitHub

weaver

stephenwinters81

Map-Reduce system for comprehensive reports and literature reviews. Breaks topic into chapters, researches each in parallel, then weaves into unified document. Use for deep research, reports, and synthesis.

GitHub

foundry

stephenwinters81

Three-stage code implementation with planning. Gemini (Engineer) plans, Claude (Caster) implements, Gemini (Inspector) verifies. ~3x token cost for complex, multi-file changes.

GitHub

vanguard

stephenwinters81

Scout swarm for broad domain mapping and edge case discovery. Launches multiple high-temperature agents with distinct search vectors. Use for finding obscure data, edge cases, and mapping new territories.

GitHub

reflect

robabby

End-of-session consolidation for AI-ready vaults. Use before ending a work session to capture learnings, store important memories, and preserve context for future sessions. Counterpart to /hydrate.

GitHub

hydrate

robabby

Load context from an AI-ready vault at session start. Use when beginning a new conversation, starting work on a vault, or when context feels stale. Reads CLAUDE.md, checks recent session logs, loads relevant me...

GitHub

evaluate-vault

robabby

Analyze an Obsidian vault's AI-readiness with pass/fail checks. Use when assessing a new vault, auditing an existing vault, or verifying setup is complete. Returns a structured report with clear status indicato...

GitHub

glean

robabby

Surface emergent patterns and insights from the AI-ready vault memory system. Use periodically to discover connections between memories, identify recurring themes, and generate meta-insights that aren't obvious...

GitHub

recall

robabby

Search the AI-ready vault memory system by keyword or concept. Use when needing to retrieve previously stored information, find past decisions, or locate relevant context from earlier sessions.

GitHub

remember

robabby

Store a memory in the AI-ready vault memory system. Use when encountering information worth preserving across sessions—decisions made, patterns discovered, facts learned, or significant events. Creates properly...

GitHub

init-memory

robabby

Initialize the memory system in an AI-ready vault. Creates the folder structure, Memory.md dashboard, and example files needed for cross-session memory persistence. Use when setting up a new vault or adding mem...

GitHub

init-claude-md

robabby

Generate a CLAUDE.md file for an Obsidian vault. Analyzes existing vault structure and creates an instruction file that helps AI understand and navigate the vault. Use when setting up a new vault or when CLAUDE...

GitHub

session-start

robabby

Combined workflow for starting an AI collaboration session. Runs hydrate, vault-status, and prompts for session focus. Use at the beginning of any work session to load context and orient.

GitHub

session-end

robabby

Combined workflow for ending an AI collaboration session. Runs reflect to capture learnings, consolidates memories, and summarizes session work. Use before ending any work session to preserve context.

GitHub

writing-skills

evatt-harvey-salinger

This skill should be used when the user asks to "create a skill", "write a skill", "build a skill", "author a skill", "improve a skill description", "make my skill better", or needs guidance on skill structure,...

GitHub

content-personalization

Syed-Hamza-Ali-8

Personalize textbook chapter content for logged-in users based on their background, preferences, and learning style collected during signup.

GitHub

user-profile-management

Syed-Hamza-Ali-8

Manage user signup/signin and collect software/hardware background to enable personalized content in the Physical AI & Humanoid Robotics textbook.

GitHub

subagent-coordinator

Syed-Hamza-Ali-8

Coordinate all subagents in the Physical AI & Humanoid Robotics textbook project. Assign tasks, validate outputs, and track progress to determine eligibility for extra points and reusable intelligence.

GitHub

cost-report

creepyblues

Tracks and reports API costs for OpenAI, Stripe, and other paid services used by edge functions. This skill should be used when monitoring API spending, identifying cost optimization opportunities, tracking cos...

GitHub

regenerate-embeddings

creepyblues

Manages OpenAI embeddings for title vector search, including batch regeneration, single title updates, verification, and cost estimation. This skill should be used when regenerating embeddings for new titles, f...

GitHub

self-improving-ai

Nymfarious

Understanding and using StickerNest's self-improving AI system. Use when the user asks about AI self-improvement, prompt versioning, reflection loops, AI evaluation, auto-tuning prompts, or the AI judge system....

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.

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