planning-workflow
Multi-agent planning workflow for complex tasks. Use when tasks affect multiple subsystems, require extensive codebase exploration, or when context limits may become an issue.
Discover documentation llm ai skills, compare source repositories and read the instructions for each workflow.
Multi-agent planning workflow for complex tasks. Use when tasks affect multiple subsystems, require extensive codebase exploration, or when context limits may become an issue.
Integrate Apidog + OpenAPI specifications with your React app. Covers MCP server setup, type generation, and query layer integration. Use when setting up API clients, generating types from OpenAPI, or integrati...
Branch skill for building and improving agents. Use when creating new agents, adapting marketplace agents, validating agent structure, writing system prompts, or improving existing agents. Triggers: 'create age...
DSPy optimizers (teleprompters), evaluation metrics, and optimization workflows. Use when compiling programs with BootstrapFewShot, KNNFewShot, MIPROv2, GEPA, or defining custom metrics.
Evaluate RAG systems with hit rate, MRR, faithfulness metrics and compare retrieval strategies. Use when testing retrieval quality, generating evaluation datasets, comparing embeddings or retrievers, A/B testin...
The OpenAI REST API. Please see https://platform.openai.com/docs/api-reference for more details.
Set up RAG pipelines with document chunking, embedding generation, and retrieval strategies using LlamaIndex. Use when building new RAG systems, choosing chunking approaches, selecting embedding models, or impl...
Guide for implementing Google Gemini API image understanding - analyze images with captioning, classification, visual QA, object detection, segmentation, and multi-image comparison. Use when analyzing images, a...
Get Unity Search provider details via uloop CLI. Use when you need to: (1) Discover available search providers, (2) Understand search capabilities and filters, (3) Configure searches with specific provider opti...
Common agent patterns and templates for Claude Code. Use when implementing agents to follow proven patterns for proxy mode, TodoWrite integration, and quality checks.
DSPy configuration, LM setup, caching, and version management. Use when configuring language models, enabling caching, managing dependencies, or setting up multi-provider configurations.
This skill should be used when the user asks to "implement Wan I2V", "set up Wan2.1", "configure Wan2.2", "image to video with Wan", "ComfyUI video generation", "low VRAM video generation", "GGUF Wan model", "s...
Skill especializada para diagnosticar y reparar errores en el motor AGCCE v4.0. Integra análisis de telemetría (logs/telemetry.jsonl), estado del Blackboard, y recuperación de agentes (Graceful Recovery).
Handle errors, timeouts, and failures in multi-agent workflows. Use when dealing with external model timeouts, API failures, partial success, user cancellation, or graceful degradation. Trigger keywords - "erro...
This skill should be used when the user asks to "analyze a specification", "break down a spec", "create tasks from a PRD", "decompose requirements", "generate a task list from a design document", or mentions wo...
Run Codex tasks via the ai_cli Task Tool runner.
Use when optimizing DSPy programs in skills-fleet, implementing quality improvements, using optimization API endpoints, or troubleshooting DSPy issues. Complete 3-phase implementation guide (signatures → traini...
Specialist in deploying, fine-tuning, and monitoring Large Language Models (LLMs). Expert in RAG pipelines, vector databases, prompt engineering, and maintaining robust AI infrastructure.
Guidelines for writing small, stable AGENTS.md files. Use when creating, refactoring, or reviewing AGENTS.md.
How to set up Claudeception continuous learning in a project. Use when: (1) User asks to install or set up Claudeception (2) User wants automatic skill extraction (3) "embedded git repository" warning when addi...
Design and optimize voice commands, handle speech recognition, execute smart actions with context awareness
Expert in crafting, optimizing, and evaluating effective prompts for Large Language Models. Specializes in advanced prompting techniques (CoT, ReAct, Few-Shot) to maximize model performance and reliability.
XML tag structure patterns for Claude Code agents and commands. Use when designing or implementing agents to ensure proper XML structure following Anthropic best practices.
Maintain Claude Code memory hygiene by auditing, organizing, updating, and optimizing memory files in `.claude/memory/`. Use when users request memory cleanup, organization, updates, or want to reduce context p...
The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.