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Skills IA testing security llm ai

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

Catégories: testing security llm ai

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GitHub

spec-builder

adaptationio

Interactive specification builder for autonomous coding projects. Use when users have vague ideas, need help defining requirements, want to create project specs, or before running autonomous-master.

GitHub

testing-validator

adaptationio

Comprehensive testing validation for Claude Code skills through functional testing, example validation, integration testing, regression testing, and edge case testing. Task-based testing operations with automat...

GitHub

auto-claude-troubleshooting

adaptationio

Auto-Claude debugging and troubleshooting guide. Use when fixing installation issues, debugging build failures, resolving agent errors, or diagnosing performance problems.

GitHub

gemini-3-multimodal

adaptationio

Process multimodal inputs (images, video, audio, PDFs) with Gemini 3 Pro. Covers image understanding, video analysis, audio processing, document extraction, media resolution control, OCR, and token optimization...

GitHub

best-practices-learner

adaptationio

Extract learnings and best practices from skill development experience, review findings, and pattern analysis. Task-based operations for pattern extraction, learning documentation, guideline updates, knowledge...

GitHub

gemini-3-pro-api

adaptationio

Gemini 3 Pro API/SDK integration for text generation, reasoning, and chat. Covers setup, authentication, thinking levels, streaming, and production deployment. Use when working with Gemini 3 Pro API, Python SDK...

GitHub

codex-cli

adaptationio

Integrate OpenAI Codex CLI into Claude Code for AI collaboration, code generation, and automated development. Use when working with OpenAI models (GPT-5.2, GPT-5.1-Codex-Max, o3, o4-mini), code refactoring, git...

GitHub

multi-ai-debugging

adaptationio

Systematic debugging using Claude, Gemini, and Codex as specialized agents. Multi-agent root cause analysis, log analysis, error classification, and auto-fix generation. Use when debugging production issues, an...

GitHub

auto-claude-memory

adaptationio

Auto-Claude Graphiti memory system configuration and usage. Use when setting up memory persistence, configuring LLM/embedding providers, querying knowledge graph, or optimizing memory performance.

GitHub

bedrock-agentcore-evaluations

adaptationio

Amazon Bedrock AgentCore Evaluations for testing and monitoring AI agent quality. 13 built-in evaluators plus custom LLM-as-Judge patterns. Use when testing agents, monitoring production quality, setting up ale...

GitHub

memory-manager

adaptationio

External persistent memory for cross-session knowledge. Use when storing error patterns, retrieving learned solutions, managing causal memory chains, or persisting project knowledge.

GitHub

ac-knowledge-graph

adaptationio

Manage knowledge graph for autonomous coding. Use when storing relationships, querying connected knowledge, building project understanding, or maintaining semantic memory.

GitHub

auto-claude-cli

adaptationio

Auto-Claude CLI command reference and usage patterns. Use when running specs, managing builds, checking status, or using CLI commands for autonomous coding tasks.

GitHub

compound-docs

Bind

Capture solved problems as searchable documentation with pattern detection. This skill auto-triggers when users confirm a fix worked ("that worked", "it's fixed", "working now") or manually via /compound comman...

GitHub

agents-md-generator

buYoung

Analyze repository structure and generate standardized AGENTS.md files that serve as contributor guides for AI agents. Measures LOC to determine character limits and produces 5-section documents covering overvi...

GitHub

skill-maker

buYoung

Create new AI agent skills following the SKILL.md guidelines. Generates complete skill structure including SKILL.md with YAML frontmatter, optional bundled resources (scripts/, references/, assets/), and update...

GitHub

ai-sdk-ui

constellos

This skill should be used when the user asks to "add AI chat", "implement streaming UI", "use useChat hook", "add AI completion", "implement useCompletion", "create conversational interface", "add streaming tex...

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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