浏览和安装 Killer-Skills 目录中的数千个 AI Agent 技能。支持 Claude Code、Windsurf、Cursor 等。
Create Model Context Protocol (MCP) servers that expose tools, resources, and prompts to Claude. Use when building custom integrations, APIs, data sources, or any server that Claude should interact with via the MCP protocol. Supports both TypeScript and Python implementations.
Generate ROS 2 Python launch files and multi-node system configurations for educational content. This skill should be used when creating lessons that teach launch file syntax, writing exercises involving multi-node startup, parameter configuration, or generating worked examples for robot system deployment.
Engineer robust Python document-processing systems for this repository. Use when tasks involve Docling-first analysis, OCR/table fallback design, editable DOCX generation, RTL/LTR mixed text handling, project scaffolding, CI/tooling setup, or implementation planning and execution that must prioritize correctness, maintainability, and practical delivery.
Describes pycore (Python core library of core_node) requirements, conventions, and architecture. Use when developing or modifying code under pycore (pycore_module_caller, callmodule, pylauncher, pythreadpool, native_ui). Enforces three-layer separation, THREAD_BUS-only cross-thread communication, step-based native_ui, and shutdown priority. This skill defines pycore requirements only.
Backend SQL and data-access guardrails. ALWAYS activate before writing or modifying ANY SQL queries, service functions, or route handlers. Enforces parameter style (:param only), date handling (Python objects), enum normalization (contract_schema.py), outlier filtering (COALESCE), and v2 API compliance. Use before AND after any backend SQL changes.
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.
Generate and run unit and integration tests using pytest (Python) or Jest (JavaScript) with fixtures, mocks, and async support. Use for test-driven development, code review validation, coverage verification, and regression testing. Target 80%+ code coverage. Supports pytest markers, Jest snapshots, and CI/CD integration. Triggers on test, TDD, unit test, integration test, test coverage, pytest, jest.
This skill should be used when analyzing binaries, executables, or bytecode to understand what they do or how they work. Triggers on binary, executable, ELF, what does this do, reverse engineer, disassemble, decompile, pyc file, python bytecode, analyze binary, figure out, marshal. Routes to sub-skills for triage, static analysis, dynamic analysis, synthesis, or tool setup.
Synchronises all dependency files from the actual imports in the codebase. Use when asked to update requirements.txt, sync dependencies, update pyproject.toml dependencies, fix requirements, update deps, sync deps, update dependency files, or update renv/environment.yml. Scans all Python source files for third-party imports, resolves PyPI package names, fetches installed versions, then writes requirements.txt and updates pyproject.toml [project.dependencies] — keeping every dep file in sync with a single source of truth.
End-to-end Stellar development playbook. Covers Soroban smart contracts (Rust SDK), Stellar CLI, JavaScript/Python/Go SDKs for client apps, Stellar RPC (preferred) and Horizon API (legacy), Stellar Assets vs Soroban tokens (SAC bridge), wallet integration (Freighter, Stellar Wallets Kit), smart accounts with passkeys, status-sensitive zero-knowledge proof patterns, testing strategies, security patterns, and common pitfalls. Optimized for payments, asset tokenization, DeFi, privacy-aware applications, and financial applications. Use when building on Stellar, Soroban, or working with XLM, Stellar Assets, trustlines, anchors, SEPs, ZK proofs, or the Stellar RPC/Horizon APIs.
Systematic testing methodology for Go projects using TDD, coverage-driven gap closure, fixture patterns, and CLI testing. Use when establishing test strategy from scratch, improving test coverage from 60-75% to 80%+, creating test infrastructure with mocks and fixtures, building CLI test suites, or systematizing ad-hoc testing. Provides 8 documented patterns (table-driven, golden file, fixture, mocking, CLI testing, integration, helper utilities, coverage-driven gap closure), 3 automation tools (coverage analyzer 186x speedup, test generator 200x speedup, methodology guide 7.5x speedup). Validated across 3 project archetypes with 3.1x average speedup, 5.8% adaptation effort, 89% transferability to Python/Rust/TypeScript.
Scaffold production-ready FastAPI endpoints for any client workflow. Use this skill ANY TIME the user wants to create a new API, add an endpoint, build a server, set up a webhook receiver, or start a new Python backend project. Also use when they mention FastAPI, uvicorn, REST API, route, endpoint, or say things like I need something that listens for requests or how do I expose this as an API. Use even when the request isnt explicitly about QuickBooks or ShipStation — this skill covers all FastAPI scaffolding for the 5 Cypress tech stack.