๐งฐDeveloper Tools Skills
Browse the best Developer Tools skills for Claude Code, Codex, Cursor and other AI agents.
7,129 skills ยท Page 1 of 298
mcp-server-developer
Build, harden, document, and ship MCP servers to Claude standards with FastMCP 2.13+ architecture, disciplined tooling, and release-ready workflows.
serving-llms-vllm
Serves LLMs with high throughput using vLLM's PagedAttention and continuous batching. Use when deploying production LLM APIs, optimizing inference latency/throughput, or serving models with limited GPU memory. Supports OpenAI-compatible endpoints, quantization (GPTQ/AWQ/FP8), and tensor parallelism.
sparc-methodology
SPARC (Specification, Pseudocode, Architecture, Refinement, Completion) comprehensive development methodology with multi-agent orchestration
scikit-learn
Machine learning in Python with scikit-learn. Use when working with supervised learning (classification, regression), unsupervised learning (clustering, dimensionality reduction), model evaluation, hyperparameter tuning, preprocessing, or building ML pipelines. Provides comprehensive reference documentation for algorithms, preprocessing techniques, pipelines, and best practices.
tldr-code
Token-efficient code analysis via 5-layer stack (AST, Call Graph, CFG, DFG, PDG). 95% token savings.
context-engine
Codebase search and context retrieval for any programming language. Hybrid semantic/lexical search with neural reranking. Use for code lookup, finding implementations, understanding codebases, Q&A grounded in source code, and persistent memory across sessions.
elevenlabs-agents
Build conversational AI voice agents with ElevenLabs Platform using React, JavaScript, React Native, or Swift SDKs.Configure agents, tools (client/server/MCP), RAG knowledge bases, multi-voice, and Scribe real-time STT.Use when: building voice chat interfaces, implementing AI phone agents with Twilio, configuring agent workflowsor tools, adding RAG knowledge bases, testing with CLI "agents as code", or troubleshooting deprecated @11labspackages, Android audio cutoff, CSP violations, dynamic variables, or WebRTC config.Keywords: ElevenLabs Agents, ElevenLabs voice agents, AI voice agents, conversational AI, @elevenlabs/react, @elevenlabs/client, @elevenlabs/react-native, @elevenlabs/elevenlabs-js, @elevenlabs/agents-cli, elevenlabs SDK, voice AI, TTS, text-to-speech, ASR, speech recognition, turn-taking model, WebRTC voice, WebSocket voice, ElevenLabs conversation, agent system prompt, agent tools, agent knowledge base, RAG voice agents, multi-voice agents, pronunciation dictionary, voice speed control,
cloudflare-workers-ai
Run LLMs and AI models on Cloudflare's global GPU network with Workers AI. Includes Llama 4, Gemma 3, Mistral 3.1,Flux image generation, BGE embeddings (2x faster, 2025), streaming support, and AI Gateway for cost tracking.Use when: implementing LLM inference, generating images, building RAG with embeddings, streaming AI responses,using AI Gateway, troubleshooting max_tokens defaults (breaking change 2025), BGE pooling parameter (not backwardscompatible), or handling AI_ERROR, rate limits, model deprecations, token limits.Keywords: workers ai, cloudflare ai, ai bindings, llm workers, @cf/meta/llama-4-scout, @cf/google/gemma-3-12b-it,@cf/mistralai/mistral-small-3.1-24b-instruct, @cf/openai/gpt-oss-120b, workers ai models, ai inference,cloudflare llm, ai streaming, text generation ai, ai embeddings, bge pooling cls mean, image generation ai,workers ai rag, ai gateway, llama workers, flux image generation, deepgram aura, leonardo image generation,vision models ai, ai chat completion, AI_ERROR, rate li
ai-maestro-code-graph-query
PROACTIVELY query the code graph database to understand relationships and impact of changes. Use this skill WHEN READING any file to understand context, when searching for files, when exploring the codebase, or when you need to understand what depends on a component. This is your primary tool for understanding code structure and avoiding breaking changes.
llama-cpp
Runs LLM inference on CPU, Apple Silicon, and consumer GPUs without NVIDIA hardware. Use for edge deployment, M1/M2/M3 Macs, AMD/Intel GPUs, or when CUDA is unavailable. Supports GGUF quantization (1.5-8 bit) for reduced memory and 4-10ร speedup vs PyTorch on CPU.
huggingface-accelerate
Simplest distributed training API. 4 lines to add distributed support to any PyTorch script. Unified API for DeepSpeed/FSDP/Megatron/DDP. Automatic device placement, mixed precision (FP16/BF16/FP8). Interactive config, single launch command. HuggingFace ecosystem standard.
claude-cli
Use claude CLI for interactive AI sessions, scripting with print mode, MCP server management, and plugin configuration. Master session management, tool control, and automation workflows.
jq
JSON processing, parsing, and manipulation. STRONGLY PREFERRED for all JSON formatting, filtering, transformations, and analysis. Use instead of Python/Node.js scripts for JSON operations.
supabase-expert
Comprehensive Supabase expert with access to 2,616 official documentation files covering PostgreSQL database, authentication, real-time subscriptions, storage, edge functions, vector embeddings, and all platform features. Invoke when user mentions Supabase, PostgreSQL, database, auth, real-time, storage, edge functions, backend-as-a-service, or pgvector.
github
Comprehensive GitHub repository management toolkit. Provides file editing, issue/PR management, GitFlow workflow, release management, commit investigation, CI/CD workflow creation, and configuration file generation via MCP GitHub tools.
code-runner
Run code snippets in 30+ programming languages including JavaScript, Python, TypeScript, Java, C, C++, Go, Rust, Ruby, PHP, and more. Use when the user wants to execute code, test algorithms, verify output, run scripts, or check code behavior. Supports both interpreted and compiled languages.
ripgrep
Use when searching text in files, codebases, books, or documents. Use when finding files by pattern, searching large files that are too big to read fully, extracting specific content from many files, or when grep/find is too slow. Triggers on "search for", "find occurrences", "look for pattern", "search in files".
conductor
Context-driven development methodology for organized, spec-first coding. Use when:- Project has a `conductor/` directory- User mentions specs, plans, tracks, or context-driven development- Files like `conductor/tracks.md`, `conductor/product.md`, `conductor/workflow.md` exist- User asks about project status, implementation progress, or track management- User wants to organize development work with TDD practices- User invokes `/conductor-*` commands (setup, newtrack, implement, status, revert, validate, block, skip, revise, archive, export, refresh)- User mentions documentation is outdated or wants to sync context with codebase changesInteroperable with Gemini CLI extension and Claude Code commands.Integrates with Beads for persistent task memory across sessions.
uv-ruff-python-tools
Modern Python development with uv (10-100x faster package manager) and ruff (extremely fast linter/formatter). Use when managing Python projects, dependencies, virtual environments, installing packages, linting code, or formatting Python files. Triggers on phrases like "uv install", "ruff check", "python package manager", "format python code", or working with pyproject.toml files.
dzmm-builder
Comprehensive skill for building, debugging, and optimizing DZMM.AI applications. Use this skill when users request creating interactive web apps on the DZMM platform, need guidance on DZMM API usage, or require help with existing DZMM applications. Covers AI-driven chatbots, visual novels, dating sims, content generators, RPG games, content platforms, and visual effect systems. Includes state management games, message management (reroll/edit/delete), multi-opening systems, rich text rendering, modular prompt engineering, resource reuse strategies, React/Vue to DZMM migration, and responsive mobile design.
cloudflare-workers-ai
Run LLMs and AI models on Cloudflare's global GPU network with Workers AI. Includes Llama 4, Gemma 3, Mistral 3.1,Flux image generation, BGE embeddings (2x faster, 2025), streaming support, and AI Gateway for cost tracking.Use when: implementing LLM inference, generating images, building RAG with embeddings, streaming AI responses,using AI Gateway, troubleshooting max_tokens defaults (breaking change 2025), BGE pooling parameter (not backwardscompatible), or handling AI_ERROR, rate limits, model deprecations, token limits.Keywords: workers ai, cloudflare ai, ai bindings, llm workers, @cf/meta/llama-4-scout, @cf/google/gemma-3-12b-it,@cf/mistralai/mistral-small-3.1-24b-instruct, @cf/openai/gpt-oss-120b, workers ai models, ai inference,cloudflare llm, ai streaming, text generation ai, ai embeddings, bge pooling cls mean, image generation ai,workers ai rag, ai gateway, llama workers, flux image generation, deepgram aura, leonardo image generation,vision models ai, ai chat completion, AI_ERROR, rate li
uv
Python package manager and project tooling using uv. Use when working with Python projects, managing dependencies, creating virtual environments, running Python scripts, configuring workspaces/monorepos, or troubleshooting uv issues. Triggers on pyproject.toml projects, uv commands, pip replacement workflows, Python version management, workspace configuration, or CI/CD Python setup.
rustie-method
AI-assisted development workflow system for feature planning, session management, and quality assurance (v2.3). WORKTREE-CENTRIC - automatically scopes to current worktree's feature (worktree name = feature name). In feature worktrees, shows only relevant feature context. In main branch, shows dashboard of all worktrees. AUTO-ACTIVATES for session start (show priorities/NBA with Explore agent), feature work (load plan context with LSP symbol grounding), new features (spike mode with parallel sub-agents), context >70% (create handoff), UI changes (run Playwright tests), completed features (suggest archive), errors or failures (trigger RCA-PCA). Works with agent-docs/ folder structure. Modes are nba, work, spike, test, validate, sync, status, handoff, archive, rca-pca, tidyup. Use when working in codebases with agent-docs/ directory.
python-package-management
Complete Python package management system. PROACTIVELY activate for: (1) uv package manager (10-100x faster), (2) pyproject.toml configuration, (3) Virtual environment setup, (4) Dependency management with uv.lock, (5) Ruff linting and formatting, (6) src layout project structure, (7) Publishing to PyPI, (8) pip and requirements.txt. Provides: uv commands, pyproject.toml templates, ruff config, pre-commit setup. Ensures modern Python project setup with fast tooling.