LLM & Agents
6763 skills in Data & AI > LLM & Agents
testing-react
Stratégie de Tests React. Use when writing tests, reviewing test coverage, or setting up testing.
testing-flutter
Testing Flutter - Stratégie Complète. Use when writing tests, reviewing test coverage, or setting up testing.
project-orchestrator
Orchestrate multi-phase project implementation using background Claude agents for isolated development, review, and integration.
openai
OpenAI API via curl. Use this skill for GPT chat completions, DALL-E image generation, Whisper audio transcription, embeddings, and text-to-speech.
documentation
Plan, generate, and validate documentation using Prompt Architect clarity patterns and routing to doc-generator subskills.
performance-scaling
Cross-model performance optimization and scaling configurations for autonomous agents
git-worktrees
Manage Git worktrees for parallel Claude Code development. Use this skill when engineers ask to "create a worktree", "run parallel Claude sessions", "work on multiple features simultaneously", or need help with worktree management.
run-benchmarks
Use this skill when the user wants to run performance benchmarks, compare languages, or test the compute-average-income implementations.
agentdb-advanced-features
Master advanced AgentDB features including QUIC synchronization, multi-database management, custom distance metrics, hybrid search, and distributed systems integration. Use when building distributed AI systems, multi-agent coordination, or advanced vector search applications.
prompt-forge
Generate and iteratively harden prompts and templates using frozen evaluation harnesses and adversarial validation.
cognitive-mode
Comprehensive cognitive mode management skill for the VERILINGUA x VERIX x DSPy x GlobalMOO integration. Enables automatic mode selection, frame configuration, VERIX epistemic notation, and GlobalMOO optimization. Use this skill when configuring AI behavior for specific task types, optimizing prompt engineering, or ensuring epistemic consistency in responses.
agent-run-orchestrator
Run section orchestrators to coordinate multi-component workflows. Use when starting work on a section.
image-gen
Generate images via local SDXL Lightning, OpenAI DALL·E, Replicate, or custom providers with structured prompts and safety checks.
implementing-tasks
Implements tasks from .plans/ directories by following implementation guidance, writing code and tests, and updating task status. Use when task file is in implementation/ directory and requires code implementation with comprehensive testing. Launches research agents when stuck.
agentdb
Vector search and semantic memory backbone for agents and RAG pipelines.
testing-symfony
Testing TDD & BDD - Atoll Tourisme. Use when writing tests, reviewing test coverage, or setting up testing.
calculate-coverage
Measure test coverage and identify untested code. Use when assessing test completeness.
Unnamed Skill
Monitor and report status of all tmux sessions including dev environments, spawned agents, and running processes. Uses tmuxwatch for enhanced visibility.
link-langchain
快速在新 Next.js 项目中集成 LangGraph 后端(localhost:2024),创建极简的 /chat 页面,支持真正的流式 AI 对话。适用于需要快速搭建聊天界面的场景:1) 集成 LangGraph Studio 本地部署的后端,2) 创建支持实时流式响应的聊天页面,3) 使用 LangGraph SDK 进行客户端直接连接,4) 实现优雅的 UI 交互(避免双气泡、流畅的加载动画)。
agent-selector
Select the best-fit specialist agent from the registry using semantic matching, capability scoring, and tool alignment.