implementation-planner
Create structured, high-quality technical implementation plans via an agent-driven, iterative process. Ideal for complex refactoring, new features, and technical design.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
548 skills found
Create structured, high-quality technical implementation plans via an agent-driven, iterative process. Ideal for complex refactoring, new features, and technical design.
Expert Zed editor assistant for settings, keymaps, tasks, AI agent profiles, and language server configuration.
Generate professional patent-style technical diagrams including flowcharts, system architectures, and block diagrams using Graphviz with automatic reference numbering.
Apply context-driven testing principles to adapt testing strategies based on project goals, risks, and constraints rather than relying on universal best practices.
Implements NewebPay QueryTradeInfo API for transaction status verification, order tracking, and payment reconciliation in Taiwan e-commerce systems.
Create, refine, and optimize high-quality YAML prompts for AI assistants using structure guidelines, template patterns, and quality standards.
A framework for crafting suspense, detective, and mystery narratives, emphasizing fair play principles, clue placement, and plot structure.
Migrate your codebase, prompts, and API calls from Claude Sonnet 4.0/4.5 or Opus 4.1 to the advanced Opus 4.5 model with automated configuration adjustments.
IDE-grade project scaffolding wizard for 70+ types of web, mobile, desktop, and backend projects, featuring interactive setup for SDKs, databases, and DevOps configurations.
Manages free AI models from OpenRouter for OpenClaw. Ranks models by quality, configures fallbacks for rate-limit handling, and updates openclaw.json automatically.
A comprehensive framework for deep analysis of articles, papers, and long-form content using 10+ thinking models like SCQA, First Principles, and Systems Thinking.
Expert skill for implementing the Gemini Interactions API. Use for stateful multi-turn chat, background Deep Research agent tasks, function calling, structured outputs, and modern Python/TypeScript SDK integration.