GitHub
nanobanana
Generate, edit, and restore images using Gemini CLI with the Nano Banana extension. Use when users request image generation, edits, icons, patterns, diagrams, or visual storytelling.
☆ 63Voir le skill
Skills IA tools llm ai
Découvrez les skills tools llm ai, comparez leurs dépôts et consultez leurs instructions.
Catégories: tools llm ai
tools llm ai Effacer les filtres
Explorer
GitHub
ppage
Captures session learnings, decisions, and context to a markdown file for future agent ramp-up. Use when user says "ppage", "page context", "save context", "capture learnings", or before ending a substantial wo...
☆ 63Voir le skill
GitHub
multi-mind
Multi-specialist collaborative analysis for complex decisions. Spawns parallel subagents with diverse domain expertise to analyze a topic from multiple angles. Use when user says "multi-mind", or for complex ar...
☆ 63Voir le skill
GitHub
codeact
Generate and execute code for acting with Python tools. Activate when user explicitly requests to "use the codeact skill" or similar phrases.
☆ 63Voir le skill
GitHub
ai-engineer
Use when building production-grade GenAI, Agentic Systems, Advanced RAG, or setting up rigorous Evaluation pipelines.
☆ 63Voir le skill
GitHub
reflect
Analyzes conversation transcripts to extract user corrections, patterns, and preferences, then proposes skill improvements. Use this skill when users provide corrections, express preferences about code style, o...
☆ 63Voir le skill
GitHub
sdk-job-management
This skill should be used when the user asks about "job status", "check if request completed", "cancel request", "why is my request taking so long", "poll for result", "batch requests", "retry failed request",...
☆ 63Voir le skill
GitHub
case-feedback-skill
Run the case feedback script to submit feedback for the current conversation. Only use when invoked by case-feedback-agent.
☆ 63Voir le skill
GitHub
creating-prompts
Creates VS Code Copilot reusable prompts for on-demand workflows. Use when building repeatable tasks users trigger manually - can be simple templates or complex multi-step processes.
☆ 61Voir le skill
GitHub
creating-agents
Creates GitHub Copilot custom agents as specialized personas with controlled tools and handoffs. Use when building role-based workflows (planner, reviewer, architect) or guided multi-agent sequences.
☆ 61Voir le skill
GitHub
creating-skills
Creates, validates, and packages Agent Skills following the open standard (agentskills.io). Portable across multiple AI agents. Use when building agent-discoverable capabilities with scripts, references, or ass...
☆ 61Voir le skill
GitHub
remember
Store decisions and patterns in knowledge graph with optional cloud sync. Use when saving patterns, storing decisions, remembering approaches that worked.
☆ 61Voir le skill
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.
☆ 61Voir le skill
GitHub
llm-testing
Testing patterns for LLM-based applications. Use when testing AI/ML integrations, mocking LLM responses, testing async timeouts, or validating structured outputs from LLMs.
☆ 61Voir le skill
GitHub
add-golden
Curate and add documents to the golden dataset with multi-agent validation. Use when adding test data, creating golden datasets, saving examples.
☆ 61Voir le skill
GitHub
errors
Error pattern analysis and troubleshooting for Claude Code sessions. Use when handling errors, fixing failures, troubleshooting issues.
☆ 61Voir le skill
GitHub
resilience-patterns
Production-grade fault tolerance for distributed systems. Use when implementing circuit breakers, retry with exponential backoff, bulkhead isolation patterns, or building resilience into LLM API integrations.
☆ 61Voir le skill
GitHub
llm-safety-patterns
Security patterns for LLM integrations including prompt injection defense and hallucination prevention. Use when implementing context separation, validating LLM outputs, or protecting against prompt injection a...
☆ 61Voir le skill
GitHub
webapp-testing
Use when testing web applications with AI-assisted Playwright. Webapp testing covers autonomous test agents for planning, generating, and self-healing tests.
☆ 61Voir le skill
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.
☆ 61Voir 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.
☆ 61Voir le skill
GitHub
rag-retrieval
Retrieval-Augmented Generation patterns for grounded LLM responses. Use when building RAG pipelines, constructing context from retrieved documents, adding citations, or implementing hybrid search.
☆ 61Voir 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.
☆ 61Voir 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.
☆ 61Voir 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.