按技能名称、说明或 GitHub 作者匹配的结果。
Use when reviewing OpenAI API usage, answering questions about OpenAI endpoints, or validating implementations against the official API specification. Provides expert knowledge on chat completions, embeddings,...
Interactive code review for agent iterations. Captures comments, tracks resolution status, and integrates with git diffs.
Code review using multiple AI models concurrently
Use Codex CLI (OpenAI) for code consultation and review. Triggers: "codex", "ask codex", "code review", "review this" Use cases: (1) Message/copy review, (2) Code review, (3) Design consultation, (4) Bug invest...
Friendly code review specialist providing constructive feedback with mentor style. Use when reviewing code quality, suggesting refactoring improvements, identifying best practices opportunities, or analyzing co...
Versatile Codex MCP integration for code review, technical research, documentation generation, and custom technical queries. Automatically constructs optimized prompts and gathers project context.
Run GPT-5.2 Codex (gpt-5.2-codex high) via OpenAI Codex CLI to review code for bugs, issues, and architecture problems. Use when the user wants a second opinion on code, requests a code review from an external...
Multi-model AI collaboration via orchestrator MCP. Use when seeking second opinions, debugging complex issues, building consensus on architectural decisions, conducting code reviews, or needing external validat...
Behavioral workflows and collaboration patterns for code review, agent coordination, and branch management. Use this skill when coordinating multi-agent work, managing code review processes, completing feature...
Use when working with CodeRabbit AI code review. Covers triggering reviews, interpreting feedback, addressing comments, and PR workflow integration.
Write Ruby and Rails code in DHH's distinctive 37signals style. Use this skill when writing Ruby code, Rails applications, creating models, controllers, or any Ruby file. Triggers on Ruby/Rails code generation,...
Guide for creating reliable AI workflows and SOPs. Use when: (1) User wants to create a structured workflow for AI tasks, (2) User needs to build an SOP for complex processes, (3) User wants to ensure their wor...
Create a template file for human reviewers to write free-form feedback before AI code review.
Comprehensive multi-AI consensus workflow for: 1. CODE REVIEW - Clinical/technical review following SOP with TODO.md/IDEAS.md tracking 2. ANALYSIS PLANNING - Statistical/bioinformatic analysis plans saved to an...
Expert Python engineering for code review, quality improvement, and debugging. Use when reviewing Python code for best practices, refactoring for cleaner code, debugging errors, improving type safety with type...
M3社が開発したPythonの機械学習パイプラインツールgokartに関する深い知識とベストプラクティスを提供する。Use when reviewing gokart task designs, implementing type-safe ML pipelines, writing gokart tests, or workin...
This skill should be used when the user asks to "triage an issue", "evaluate a feature request", "should I accept this issue", "analyze GitHub issue", "review this pull request", "review this PR", "should I mer...
Automated code review for pull requests using multiple specialized agents with confidence-based scoring to filter false positives
How to track our work through commits, pull-requests, and pushes. Maintain proper git hygiene in our chaotic, multi-agent environment through atomic commits, with the option to have code reviewed by AI agents w...
Use the Google Gemini CLI to get a second opinion on code, architecture, and UI/UX work. Trigger when a user asks to consult Gemini, wants an external critique, or requests UI feedback, design alternatives, or...
Execute codex CLI as sub-agent for thorough code reviews (codex's specialty), alternative approaches when stuck, or complex problems requiring extended investigation. Note that inference takes significant time.
Multi-agent spec review with parallel Claude/OpenCode reviewers. Use after spec-create or standalone via /spec.review.
Orchestrate multi-agent development workflows. Use when starting a new feature to coordinate architecture design, implementation, code review, and release through specialized sub-agents.
Build a complete data clustering and visualization pipeline from any data source. Use when the user wants to analyze patterns in text data (GitHub issues, Slack messages, support tickets, code reviews, forum po...
默认按已收录数据中的 GitHub 仓库 Stars 排序。Stars 属于来源仓库，同一仓库的多个技能可能共享相同数值；它反映仓库关注度，不代表单个技能的安装量或质量评分。