GitHub
llm-patterns
AI-first application patterns, LLM testing, prompt management
☆ 481Voir le skill
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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Explorer
GitHub
session-management
Context preservation, tiered summarization, resumability
☆ 481Voir le skill
GitHub
codex-review
OpenAI Codex CLI code review with GPT-5.2-Codex, CI/CD integration
☆ 481Voir le skill
GitHub
aeo-optimization
AI Engine Optimization - semantic triples, page templates, content clusters for AI citations
☆ 481Voir le skill
GitHub
agentic-development
Build AI agents with Pydantic AI (Python) and Claude SDK (Node.js)
☆ 481Voir le skill
GitHub
ms-teams-apps
Microsoft Teams bots and AI agents - Claude/OpenAI, Adaptive Cards, Graph API
☆ 481Voir le skill
GitHub
codex-subagent
Spawn Codex subagents via background shell to offload context-heavy work. Use for: deep research (3+ searches), codebase exploration (8+ files), multi-step workflows, exploratory tasks, long-running operations,...
☆ 470Voir le skill
GitHub
skill-creator
Guide for creating effective agent skills. Use when you want to create a new skill, improve an existing skill, or learn best practices for skill development. Helps codify learned patterns into reusable, discove...
☆ 469Voir le skill
GitHub
always-on-guidance
Always-on rule-oriented guidance for claude-plugin agents. Use to align behavior, tool usage, and model-specific defaults (GPT-5.2-code vs Opus 4.5) while avoiding deprecated bd/cass references.
☆ 469Voir le skill
GitHub
swarm-coordination
Multi-agent coordination patterns for OpenCode swarm workflows. Use when working on complex tasks that benefit from parallelization, when coordinating multiple agents, or when managing task decomposition. Do NO...
☆ 469Voir le skill
GitHub
swarm-coordination
Multi-agent coordination patterns for OpenCode swarm workflows. Use when working on complex tasks that benefit from parallelization, when coordinating multiple agents, or when managing task decomposition. Do NO...
☆ 469Voir le skill
GitHub
skill-creator
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...
☆ 469Voir le skill
GitHub
build-skill
Create effective skills for OpenCode agents. Load FIRST before writing any SKILL.md. Provides required format, naming conventions, progressive disclosure patterns, and validation. Use when building, reviewing,...
☆ 468Voir le skill
GitHub
helloagents
【HelloAGENTS】显式调用入口。使用 /helloagents 或 $helloagents 激活。
☆ 464Voir le skill
GitHub
agentic-jujutsu
Quantum-resistant, self-learning version control for AI agents with ReasoningBank intelligence and multi-agent coordination
☆ 461Voir le skill
GitHub
parallel-task
Execute plan files by launching multiple parallel subagents to complete tasks simultaneously. Triggers on explicit "/parallel-task" commands.
☆ 460Voir le skill
GitHub
using-superpowers
Use when starting any conversation - establishes how to find and use skills, requiring Skill tool invocation before ANY response including clarifying questions
☆ 459Voir le skill
GitHub
planner
Create comprehensive, phased implementation plans with sprints and atomic tasks. Use when user says: "make a plan", "create a plan", "plan this out", "plan the implementation", "help me plan", "design a plan",...
☆ 457Voir le skill
GitHub
llm-council
Orchestrate a configurable, multi-member CLI planning council (Codex, Claude Code, Gemini, OpenCode, or custom) to produce independent implementation plans, anonymize and randomize them, then judge and merge in...
☆ 457Voir le skill
GitHub
add-model
Add a new language model to the Giselle codebase. Use when the user wants to add, register, or integrate a new LLM model (OpenAI, Anthropic, Google) into the system.
☆ 456Voir le skill
GitHub
axiom-using-axiom
Use when starting any iOS/Swift conversation - establishes how to find and use Axiom skills, requiring Skill tool invocation before ANY response including clarifying questions
☆ 456Voir le skill
GitHub
coreml
Use when deploying custom ML models on-device, converting PyTorch models, compressing models, implementing LLM inference, or optimizing CoreML performance. Covers model conversion, compression, stateful models,...
☆ 456Voir le skill
GitHub
axiom-foundation-models-ref
Reference — Complete Foundation Models framework guide covering LanguageModelSession, @Generable, @Guide, Tool protocol, streaming, dynamic schemas, built-in use cases, and all WWDC 2025 code examples
☆ 456Voir le skill
GitHub
axiom-ios-ml
Use when deploying ANY machine learning model on-device, converting models to CoreML, compressing models, or implementing speech-to-text. Covers CoreML conversion, MLTensor, model compression (quantization/pale...
☆ 456Voir le skill
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.