Discover development productivity tools skills, compare source repositories and read the instructions for each workflow.
OpenCode.ai open-source AI coding agent comprehensive reference. Use when working with OpenCode TUI, CLI, IDE integration, configuring agents, tools, MCP servers, creating plugins, or developing with the SDK.
Vercel edge deployment specialist covering Edge Functions, Next.js optimization, preview deployments, ISR, and storage solutions. Use when deploying Next.js applications, implementing edge computing, or configu...
Import/export system for sharing books between characters. Covers BDB1 envelope format, async import worker (6-phase pipeline), merge semantics (handling duplicates), export library flow, compression (LibDeflat...
Favorites and Recent systems for BookArchivist. Covers favorite flags (Set/Toggle/IsFavorite), MRU list management (Recent:MarkOpened/GetList), virtual categories toggle, stale entry cleanup, and category filte...
Gathers comprehensive company intelligence from multiple sources for application preparation and interview research.
Comprehensive toolkit for building Python-based A2A agents that interact with UCP (Universal Commerce Protocol) merchant agents. Use when creating shopping agents, integrating with UCP merchants, managing check...
Comprehensive spec-driven development workflow combining artifact management with systematic implementation. Use when starting new features, creating specs/plans, implementing from specifications, or coordinati...
Comprehensive development toolkit for building FastAPI services behind Azure API Management (APIM). Use when creating APIs with APIM gateway integration, implementing authentication/authorization patterns, conf...
This skill should be used when the user requests learning materials for algorithm or data structure patterns (e.g., "Create learning material for sliding window pattern"). It automatically generates structured...
Create custom tools, integrate external APIs, and manage tool registry. Use when extending agent capabilities with new tools.
Generate high-quality code in various programming languages following best practices. Use when the user asks to write, create, or generate code, functions, classes, or scripts.
Expert-level git workflow management, conventional commits, branching strategies, and merge operations. Use for git operations, branch management, and commit standardization.
Expert-level semantic versioning, package publishing, changelog generation, and release orchestration. Use for version management, PyPI/Docker releases, and deployment automation.
Expert-level semantic versioning, package publishing, changelog generation, and release orchestration. Use for version management, PyPI/Docker releases, and deployment automation.
Create custom tools, integrate external APIs, and manage tool registry. Use when extending agent capabilities with new tools.
Expert-level git workflow management, conventional commits, branching strategies, and merge operations. Use for git operations, branch management, and commit standardization.
Manage GitHub Actions workflows, containerization, deployment pipelines, and release automation. Use when working with CI/CD, Docker, or deployment.
Manage GitHub Actions workflows, containerization, deployment pipelines, and release automation. Use when working with CI/CD, Docker, or deployment.
AI-powered generation of Paracle artifacts (agents, workflows, skills, policies) from natural language descriptions. Use when you need to create new framework components programmatically.
Expert-level git workflow management, conventional commits, branching strategies, and merge operations. Use for git operations, branch management, and commit standardization.
Continuous learning and improvement system for paracle_meta. Use when you need to record feedback, track quality metrics, or improve generation templates over time.
Advanced AI capabilities for paracle_meta including web search, code execution, MCP integration, and autonomous agent spawning. Use when you need enhanced AI functionality beyond basic generation.
Create custom tools, integrate external APIs, and manage tool registry. Use when extending agent capabilities with new tools.
Expert-level semantic versioning, package publishing, changelog generation, and release orchestration. Use for version management, PyPI/Docker releases, and deployment automation.
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.