Coding standards, frameworks, refactoring, and code review (16.6K skills)
Write, review, or refactor React and Next.js code using prioritized performance guidelines. Address sequential data requests, large bundles of browser code, server work, and unnecessary rendering, with explanations and code examples for each rule.
Create reusable agent skills or improve existing ones through test prompts and user feedback. Compare output quality, execution time, and token usage against a baseline, then refine instructions and descriptions so the skill is invoked in appropriate situations.
Create or update GitHub pull requests using the project's required template. Organize changes and test results, preserve every template section, and check target branches and release notes against the documented workflow.
Reviews Cherry Studio code and documentation against product decisions, architecture rules, implementation checks, and conventions. It selects a review approach based on scope and available agents, then reports findings with guidance for fixes.
Analyze a project’s code and existing settings to recommend useful Claude Code automations. Receive tailored suggestions for event-triggered actions, specialist agents, skills, plugins, and external tool connections, with reasons and setup locations.
Delegate a bounded task to the local OpenClaw main agent without opening an interactive interface. Run it in an authorized directory, read its structured response, and check for reported errors or timeouts.
Run OpenCode without an interactive interface to analyze a repository or perform requested coding work. Collect its structured output, summarize results and tool errors, or use its response to compare coding agents.
Create GitHub issues that follow the current repository's templates. The skill selects the appropriate report format, collects required information, and prepares the title, body, labels, and issue type for review before submission.
Prepare and submit bug reports or feature requests to GitHub, checking for duplicates and following issue templates. Reports are previewed for approval before submission, or saved locally when GitHub authentication is unavailable.
Creates a new skill within the current repository, gathering its name and purpose before building the SKILL.md structure. It follows repository guidelines, runs validation, and optionally syncs skills for shared use through Claude.
Delegate repository analysis or coding tasks to Qwen Code without opening its interactive interface. Run within a specified project and time limit, then check the JSON response and exit status before summarizing the result.
Delegate a clearly scoped repository task to Kimi Code without opening its interactive interface. The skill reads structured execution events, extracts the final response, and checks for errors, with separate handling for read-only work and authorized changes.
Delegate a bounded local task to Hermes Agent in a single run and receive its text result. The workflow accounts for automatic tool approval, isolates read-only work, and inspects file changes after authorized edits.
Delegates repository analysis or coding tasks to MiniMax Code without opening its interactive interface. It runs one task in the specified project with a time limit, then uses the final response as the result.
Delegate a clearly scoped repository analysis or implementation task to Pi without an interactive session. The skill limits the working directory and available tools, then checks structured output for errors before using the result.
Inspect an agent’s current model, processing limits, workspace, tools, and message routing details. Diagnose unavailable capabilities, adjust permitted runtime settings, or keep temporary session notes, with advance notice before changes that affect the model or limits.
Use the GitHub command-line tool to inspect issues, pull requests, and automated workflow runs. Check failed steps and logs, retrieve additional details through the API, and extract selected fields into structured results.
Create or update reusable skills for AI agents. Plan clear instructions, organize scripts, reference documents, and templates, then validate the skill and package its files for distribution.
Control interactive command-line programs through tmux by sending keystrokes, reading terminal output, and waiting for prompts. Use separate sessions to operate Python consoles or run multiple coding agents while checking their progress and results.
Install and customize a status bar for Antigravity CLI that shows the model, usage quotas, reset times, context capacity and git changes. Check the installation, adjust themes and layouts, and export the configuration.
Build Java applications that store and manage records in Azure Table Storage or Cosmos DB Table API. It guides creating tables, adding and updating records, filtering queries, and grouping changes into transactions that succeed or fail together.
Build .NET workflows that extract text, tables, and fields from invoices, receipts, and other documents using Azure AI Document Intelligence. Covers prebuilt models, custom model creation, document classification, authentication, and result handling.
Build Java applications that exchange live audio with AI assistants using Azure AI VoiceLive. The skill covers authentication, streaming sessions, speech detection, voice selection, transcription, and handling responses over WebSocket, a persistent two-way connection.
Implement shared authentication for Azure Communication Services in Java, including automatic renewal of access tokens, the credentials used to access services. It also guides handling identifiers for ACS users, phone numbers, and Microsoft Teams users.