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Skills IA content media llm ai

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

Catégories: content media llm ai

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GitHub

codex-review

williballenthin

Request an external review from Codex (OpenAI) to get a second perspective on designs, implementations, diffs, or architecture decisions

GitHub

dadjoke

adamos486

Provides a curated list of 10+ classic and obscure dad jokes. Use this skill when an AI needs to quickly generate some humorous dad jokes, such as in casual conversation or to lighten the mood.

GitHub

building-agent-skills

leefowlercu

Assists in creating Agent Skills of varying complexity levels (simple, moderate, complex). Use when the user wants to create, design, or build a new Agent Skill, or when they need guidance on skill architecture...

GitHub

bedrock-inference

adaptationio

Amazon Bedrock Runtime API for model inference including Claude, Nova, Titan, and third-party models. Covers invoke-model, converse API, streaming responses, token counting, async invocation, and guardrails. Us...

GitHub

bedrock-automated-reasoning

adaptationio

Amazon Bedrock Automated Reasoning for mathematical verification of AI responses against formal policy rules with up to 99% accuracy. Use when validating healthcare protocols, financial compliance, legal regula...

GitHub

gemini-mcp

adaptationio

Manage MCP (Model Context Protocol) servers with Gemini CLI for extended tool capabilities, custom integrations, and enterprise workflows. Use when integrating external tools, databases, or APIs with Gemini.

GitHub

project-skill-builder

adaptationio

Create project-specific Claude Code skills tailored to particular codebases, domains, or organizations. Workflow for analyzing project context, identifying skill opportunities, designing project-specific patter...

GitHub

skill-validator

adaptationio

Ensure Claude Code skills meet quality standards through validation operations for structure, content, patterns, and production readiness. Task-based validation with pass/fail criteria, automated checks, and co...

GitHub

agent-memory-system

adaptationio

Persistent memory architecture for AI agents across sessions. Episodic memory (past events), procedural memory (learned skills), semantic memory (knowledge graph), short-term memory (active context). Use when i...

GitHub

bedrock-fine-tuning

adaptationio

Amazon Bedrock Model Customization with fine-tuning, continued pre-training, reinforcement fine-tuning (NEW 2025 - 66% accuracy gains), and distillation. Create customization jobs, monitor training, deploy cust...

GitHub

context-compactor

adaptationio

Automatic context summarization for long-running sessions. Use when context is approaching limits, summarizing completed work, preserving critical information, or managing token budgets.

GitHub

research-workflow

adaptationio

Systematic research workflow orchestrating multi-source research operations for comprehensive domain investigation. Sequential workflow from web search through GitHub exploration and documentation analysis to r...

GitHub

ac-session-manager

adaptationio

Session lifecycle management for autonomous coding. Use when starting sessions, resuming work, detecting session type (init vs continue), or managing auto-continuation between sessions.

GitHub

ac-context-compactor

adaptationio

Manage and compact context for long sessions. Use when context is filling up, creating handoff summaries, optimizing context usage, or preparing for session continuation.

GitHub

skill-tester

adaptationio

Test Claude Code skills in real-world scenarios to validate functionality, usability, and effectiveness. Task-based testing operations for scenario testing, example validation, integration testing, and usabilit...

GitHub

workflow-skill-creator

adaptationio

Compose multiple Claude Code skills into integrated workflows. Creates workflow skills that orchestrate skill sequences, handle dependencies, and automate multi-step processes. Use when building complex workflo...

GitHub

review-multi

adaptationio

Comprehensive multi-dimensional skill reviews across structure, content, quality, usability, and integration. Task-based operations with automated validation, manual assessment, scoring rubrics, and improvement...

GitHub

ralph-prompt-project

adaptationio

Generate Ralph-compatible prompts for entire projects from scratch. Creates comprehensive prompts with architecture phase, implementation phases, testing, and documentation. Use when building complete applicati...

GitHub

skill-builder-generic

adaptationio

Universal guide for creating production-ready Claude Code skills for any project. Includes 6-step workflow (understand, plan, initialize, edit, package, iterate), progressive disclosure design, YAML frontmatter...

GitHub

bedrock-agentcore-multi-agent

adaptationio

Amazon Bedrock AgentCore multi-agent orchestration with Agent-to-Agent (A2A) protocol. Supervisor-worker patterns, agent collaboration, and hierarchical delegation. Use when building multi-agent systems, orches...

GitHub

prompt-builder

adaptationio

Build effective prompts for Claude Code skills. Creates clear, specific, actionable prompts using engineering principles, templates, and validation. Use when creating skill instructions, workflow steps, task op...

GitHub

plugin-builder

adaptationio

Automate Claude Code plugin creation, packaging, validation, and distribution. Use when creating plugins, packaging skills, generating manifests, validating plugin structure, setting up marketplaces, or distrib...

GitHub

ralph-prompt-research

adaptationio

Generate Ralph-compatible prompts for research, analysis, and planning tasks. Creates prompts with systematic research phases, synthesis requirements, and deliverable specifications. Use when analyzing codebase...

GitHub

hooks-manager

adaptationio

Create, validate, and deploy Claude Code hooks for workflow automation. Hooks enable event-driven automation at 8 lifecycle points (PreToolUse, PostToolUse, UserPromptSubmit, etc.) with structured JSON control....

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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