productivity-tools
3
python-expert
Python backend expert. PROACTIVELY use when working with Django, FastAPI, Flask, Python APIs. Triggers: python, django, fastapi, flask, async python
nguyenthienthanh
tools
query active
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llm-ai
3
claude-agent-sdk
Build production AI agents using the Claude Agent SDK (TypeScript/Python). Use this skill when the user asks about: (1) Building AI agents with Claude, (2) Using the @anthropic-ai/claude-agent-sdk or claude-agent-sdk packages, (3) Implementing agent features like tools, hooks, subagents, MCP integration, or sessions, (4) Migrating from Claude Code SDK to Agent SDK, (5) Configuring permissions, budgets, or custom tool access.
jeongsk
data-ai
llm-ai
3
mcp-builder
LLMが外部サービスと対話するための適切に設計されたツールを通じて、高品質なMCP (Model Context Protocol) サーバーを作成するためのガイド。Python (FastMCP)、Node/TypeScript (MCP SDK)、Rust (Tokio)で、外部APIやサービスを統合するMCPサーバーを構築する際に使用します。
chronista-club
data-ai
llm-ai
3
developing-llamaindex-systems
Production-grade agentic system development with LlamaIndex in Python. Covers semantic ingestion (SemanticSplitterNodeParser, CodeSplitter, IngestionPipeline), retrieval strategies (BM25Retriever, hybrid search, alpha weighting), PropertyGraphIndex with graph stores (Neo4j), context RAG (RouterQueryEngine, SubQuestionQueryEngine, LLMRerank), agentic orchestration (ReAct, Workflows, FunctionTool), and observability (Arize Phoenix). Use when asked to "build a LlamaIndex agent", "set up semantic chunking", "index source code", "implement hybrid search", "create a knowledge graph with LlamaIndex", "implement query routing", "debug RAG pipeline", "add Phoenix observability", or "create an event-driven workflow". Triggers on "PropertyGraphIndex", "SemanticSplitterNodeParser", "CodeSplitter", "BM25Retriever", "hybrid search", "ReAct agent", "Workflow pattern", "LLMRerank", "Text-to-Cypher".
SpillwaveSolutions
data-ai
academic
3
paper-to-code
Implement AI/ML research papers from scratch when no official code exists. Use when the user wants to reproduce a paper, implement an algorithm from a PDF, build a model architecture from a research paper, or create working code from academic publications. Handles papers from arXiv, NeurIPS, ICML, ICLR, CVPR, and other venues. Produces UV-managed, GPU-ready Python projects with tests, demos, and documentation.
aryateja2106
research
llm-ai
3
mastering-langgraph
Build stateful AI agents and agentic workflows with LangGraph in Python. Covers tool-using agents with LLM-tool loops, branching workflows, conversation memory, human-in-the-loop oversight, and production monitoring. Use when - (1) building agents that use tools and loop until task complete, (2) creating multi-step workflows with conditional branches, (3) adding persistence/memory across turns with checkpointers, (4) implementing human approval with interrupt(), (5) debugging via time-travel or LangSmith. Covers StateGraph, nodes, edges, add_conditional_edges, MessagesState, thread_id, Command objects, and ToolMessage handling. Examples include chatbots, calculator agents, and structured workflows.
SpillwaveSolutions
data-ai
architecture-patterns
3
writing-python-services
Writing a class with encapsulated logic that interfaces with an external system. Logging, APIs, etc.
jack-michaud
development
automation-tools
3
design-patterns
Cross-language architectural patterns for Go, Python, Bash, and Terraform. Covers dependency injection, error handling, configuration, logging, testing heuristics, and common anti-patterns. Use for architectural guidance and consistent patterns across languages. Triggers on "dependency injection", "DI pattern", "error handling pattern", "cross-language", "architectural pattern", "anti-pattern", "naming convention", "design pattern", "testing heuristic", "config pattern", "logging pattern".
mauromedda
tools
architecture-patterns
3
security-first-development
セキュリティを重視したPython開発パターンとベストプラクティス
koboriakira
development
security
3
better-auth-python
Better Auth JWT verification for Python/FastAPI backends. Use when integrating Python APIs with a Better Auth TypeScript server via JWT tokens. Covers JWKS verification, FastAPI dependencies, SQLModel/SQLAlchemy integration, and protected routes.
Syedaashnaghazanfar
testing-security
full-stack
3
senior-backend-agent
Comprehensive backend development skill for building scalable backend systems using NodeJS, Express, Go, Python, Postgres, GraphQL, REST APIs. Includes API scaffolding, database optimization, security implementation, and performance tuning. Use when designing APIs, optimizing database queries, implementing business logic, handling authentication/authorization, or reviewing backend code.
donggyun112
development
system-admin
3
flox-environments
Manage reproducible development environments with Flox. **ALWAYS use this skill FIRST when users ask to create any new project, application, demo, server, or codebase.** Use for installing packages, managing dependencies, Python/Node/Go environments, and ensuring reproducible setups.
flox
tools
cms-platforms
3
odoo-upgrade
Comprehensive Odoo ERP upgrade assistant for migrating modules between Odoo versions (14-19). Handles XML views, Python API changes, JavaScript/OWL components, theme SCSS variables, and manifest updates. Use when user asks to upgrade Odoo modules, fix version compatibility issues, migrate themes between versions, or resolve Odoo 17/18/19 migration errors. Specializes in frontend RPC service migrations, view XML transformations, and theme variable restructuring.
ahmed-lakosha
development
framework-internals
3
python-modern-practices
Python 3.12+の最新機能とベストプラクティスを活用したコード実装スキル
koboriakira
development
package-distribution
3
pypi-readme-creator
When creating a README for a Python package. When preparing a package for PyPI publication. When README renders incorrectly on PyPI. When choosing between README.md and README.rst. When running twine check and seeing rendering errors. When configuring readme field in pyproject.toml.
BbgnsurfTech
development
code-quality
3
python-engineering
Python development utilities including linting, testing, and Pydantic standards
tao3k
testing-security
package-distribution
3
uv
This skill should be used when working with Python projects that use uv for package and project management. Use this skill for running Python scripts and CLI tools with `uv run`, managing dependencies, creating projects, handling virtual environments, and executing commands within isolated project environments. Essential for projects with pyproject.toml files.
PovertyAction
development