GitHub
mem0-memory
Long-term semantic memory across sessions using Mem0. Use when you need to remember, recall, or forget information across sessions, or when referencing what we discussed last time or in a previous session.
☆ 98Voir le skill
Skills IA Tests et sécurité
Découvrez les skills Tests et sécurité, comparez leurs dépôts et consultez leurs instructions.
Catégories: Tests et sécurité
Tests et sécurité Effacer les filtres
Explorer
GitHub
langfuse-observability
LLM observability platform for tracing, evaluation, prompt management, and cost tracking. Use when setting up Langfuse, monitoring LLM costs, tracking token usage, or implementing prompt versioning.
☆ 98Voir le skill
GitHub
high-performance-inference
High-performance LLM inference with vLLM, quantization (AWQ, GPTQ, FP8), speculative decoding, and edge deployment. Use when optimizing inference latency, throughput, or memory.
☆ 98Voir le skill
GitHub
cache-cost-tracking
LLM cost tracking with Langfuse for cached responses. Use when monitoring cache effectiveness, tracking cost savings, or attributing costs to agents in multi-agent systems.
☆ 98Voir le skill
GitHub
mcp-server-building
Building MCP (Model Context Protocol) servers for Claude extensibility. Use when creating MCP servers, building custom Claude tools, extending Claude with external integrations, or developing tool packages for...
☆ 98Voir le skill
GitHub
langgraph-supervisor
LangGraph supervisor-worker pattern. Use when building central coordinator agents that route to specialized workers, implementing round-robin or priority-based agent dispatch.
☆ 98Voir le skill
GitHub
golden-dataset-curation
Use when creating or improving golden datasets for AI evaluation. Defines quality criteria, curation workflows, and multi-agent analysis patterns for test data.
☆ 98Voir le skill
GitHub
multimodal-rag
CLIP, SigLIP 2, Voyage multimodal-3 patterns for image+text retrieval, cross-modal search, and multimodal document chunking. Use when building RAG with images, implementing visual search, or hybrid retrieval.
☆ 98Voir le skill
GitHub
implement
Full-power feature implementation with parallel subagents, skills, and MCPs. Use when implementing features, building features, creating features, or developing features.
☆ 98Voir le skill
GitHub
langgraph-checkpoints
LangGraph checkpointing and persistence. Use when implementing fault-tolerant workflows, resuming interrupted executions, debugging with state history, or avoiding re-running expensive operations.
☆ 98Voir le skill
GitHub
prompt-caching
Provider-native prompt caching for Claude and OpenAI. Use when optimizing LLM costs with cache breakpoints, caching system prompts, or reducing token costs for repeated prefixes.
☆ 98Voir le skill
GitHub
alternative-agent-frameworks
Multi-agent frameworks beyond LangGraph. CrewAI crews, Microsoft Agent Framework, OpenAI Agents SDK. Use when building multi-agent systems, choosing frameworks.
☆ 98Voir le skill
GitHub
kata-executing-quick-tasks
Use this skill when executing small ad-hoc tasks with Kata guarantees, running quick tasks without full planning, or handling one-off work outside the roadmap. Triggers include "quick task", "quick mode", "quic...
☆ 97Voir le skill
GitHub
kata-starting-projects
Use this skill when initialize a new project with deep context gathering and project.md. Triggers include "new project", "start project", "initialize project", "create project", "begin project", "setup project"...
☆ 97Voir le skill
GitHub
kata-listing-phase-assumptions
Use this skill when surfacing Claude's assumptions about a phase approach before planning, checking what Claude thinks, or validating understanding before planning. Triggers include "list assumptions", "what ar...
☆ 97Voir le skill
GitHub
kata-setting-profiles
Use this skill when switch model profile for kata agents (quality/balanced/budget). Triggers include "set profile", "set profile".
☆ 97Voir le skill
GitHub
kata-resuming-work
Use this skill when resuming work from a previous session, restoring context after a break, continuing work after /clear, or picking up where you left off. Triggers include "resume work", "continue work", "pick...
☆ 97Voir le skill
GitHub
kata-providing-help
Use this skill when showing available Kata commands, displaying the usage guide, explaining command reference, or when the user asks for help with Kata. Triggers include "help", "show commands", "list commands"...
☆ 97Voir le skill
GitHub
test-driven-development-tdd
Use when implementing any feature or bugfix, before writing implementation code - write the test first, watch it fail, write minimal code to pass; ensures tests actually verify behavior by requiring failure fir...
☆ 96Voir le skill
GitHub
creating-skills
Use when you need to create a new custom skill for a profile - guides through gathering requirements, creating directory structure, writing SKILL.md, and optionally adding bundled scripts
☆ 96Voir le skill
GitHub
code-review-reception
Use when receiving code review feedback, before implementing suggestions, especially if feedback seems unclear or technically questionable - requires technical rigor and verification, not performative agreement...
☆ 96Voir le skill
GitHub
brainstorming
IMMEDIATELY USE THIS SKILL when creating or develop anything and before writing code or implementation plans - refines rough ideas into fully-formed designs through structured Socratic questioning, alternative...
☆ 96Voir le skill
GitHub
finishing-a-development-branch
Use this when you have completed some feature implementation and have written passing tests, and you are ready to create a PR.
☆ 96Voir le skill
GitHub
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes - four-phase framework (root cause investigation, pattern analysis, hypothesis testing, implementation) that ensures u...
☆ 96Voir 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.