jina-cli
A powerful CLI for converting web content and search results into LLM-friendly formats like Markdown, text, or HTML using the Jina AI Reader API.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
430 skills found
A powerful CLI for converting web content and search results into LLM-friendly formats like Markdown, text, or HTML using the Jina AI Reader API.
Automated high-quality VS Code screenshot capture using Playwright and serve-web for documentation, slide decks, and visual technical content.
A standardized workflow for converting raw PM notes, workshops, or rough drafts into polished, validated, and repository-compliant AI skills.
Automates the release preparation process for MassGen by generating CHANGELOG entries, creating announcement drafts, and validating documentation integrity before git tagging.
6-phase read-only Python analysis workflow that identifies design principle violations, code smells, and modernization opportunities based on specific project types (POC to Open Source).
A RAG-based AI solver for high school Chinese GSAT exams, featuring structured knowledge retrieval, reasoning templates, and explainable AI outputs.
Build Claude Code extensions: skills, agents, hooks, plugins, and slash commands. Includes builder agents for autonomous component creation and structure management.
Fixes CJS/ESM module compatibility issues in Nango integrations after zero-yaml migration, including path adjustments, ESM wrappers, and restoring original implementations.
Automatically detect code changes and suggest documentation updates. Keeps READMEs, API specs, and configuration guides in sync with your implementation.
Automates the triage, prioritization, and feedback process for new MultiQC module requests by analyzing repository activity, community engagement, and technical feasibility.
Search the web using Tavily's LLM-optimized search API for relevant, source-cited content without writing code.
Standardized Swift coding conventions, naming rules, and idiomatic patterns for clean, maintainable, and readable iOS/macOS development.