编码规范、框架、重构、代码审查（1.6万 个）
Checks LazyCodex and Codex CLI installations against current source code, inspecting versions, settings, plugin files, and runtime behavior. Produces an evidence-backed health report with suggested fixes while leaving the installed setup unchanged.
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Help Codex respond to automatic warnings about comments after code edits. It explains when the checker runs and directs Codex to fix the flagged comment or explain it before continuing with other work.
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List available Codex skills and install selected ones from a curated collection, experimental listings, or a specified GitHub location. It also supports private repositories and marks skills that are already installed.
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Create or update Codex skills that package specialized knowledge, repeatable workflows, and tool instructions. The guide covers concrete use cases, folder structure, reusable resources, starter generation, and basic validation of names and required metadata.
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Stage code changes, commit them, push the branch, and open a draft GitHub pull request in one requested workflow. It also runs checks and writes a description explaining the problem, fix, user impact, and validation.
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Turn implementation plans and specifications into an ordered tasks.md checklist. Organize work around user stories, meaning goals expressed from a user's perspective, with file paths, dependencies, parallel work opportunities, and independent verification criteria.
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Diagnose and fix Claude Code plugin hook failures on Windows. Covers conflicts between WSL and Git Bash, path handling problems, and errors involving .sh arguments, using error messages and configuration files.
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Turn a feature specification into a technical implementation plan. Organizes technology choices, research decisions, data models, and interface agreements into project files, while checking that the design follows the project's documented principles.
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Convert requirements into a detailed implementation plan before coding begins. Break work into small actions with exact file paths, code examples, test commands, expected results, and commit steps so another developer can follow the plan.
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Create or update a project's governing development principles, covering code quality, testing, and architectural constraints. Maintain the constitution document, record version changes, and align related planning, specification, and task templates with the revised rules.
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Turn a plain language feature request into spec.md with user stories, testable requirements, and acceptance criteria. Create a feature branch and a separate quality checklist, documenting assumptions and clarifying important gaps before planning begins.
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Build a planned feature by following an existing task list and technical plan. The skill respects task dependencies, runs tests before related implementation where applicable, records progress, and checks the completed work against the specification.
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Organize code and data projects into clear folders with documented workflows, data fields, dependencies, and changes. The skill guides new machine learning and data processing scripts, while preserving existing project structure during modifications.
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Execute an existing implementation plan in the current session by assigning each task to a fresh subagent, a separate agent handling delegated work. Each task receives a specification review followed by a code quality review, with fixes rechecked.
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Investigate bugs, failing tests, and build errors through reproduction, logs, and comparisons with working code. Follow a staged process to test possible causes, implement a focused fix, and check that the problem is resolved.
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Evaluate existing code review comments against the actual codebase before making changes. The skill guides clarification, technical responses, prioritized fixes, and individual testing, helping assess whether suggestions fit current behavior and compatibility requirements.
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Manage repeated work on a task in Codex with iteration limits, completion conditions, and saved progress. Advance iterations manually with the default engine, or use the optional open-ralph-wiggum command-line tool for automatic iteration.
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Create focused checklists to review requirements before implementation. Using project specifications and plans, the skill turns gaps, vague wording, conflicting requirements, and missing scenarios into questions that help authors and reviewers assess specification quality.
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Diagnose file write failures by checking permissions, disk space, paths, and file locks. Get corrective steps before retrying, or check conditions before important writes to catch problems such as missing folders and read-only files.
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Bridge `/speckit.*` commands to `/vibe` execution guidance in Codex. A PowerShell router preserves the familiar command model and leaves official spec-kit prompts unchanged, helping carry existing workflows into `/vibe-first` execution.
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Review specifications, plans, and tasks together before implementation. Identify missing task coverage, duplicate requirements, unclear wording, and conflicting decisions, then receive a prioritized report with recommendations without changing project files.
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Create or improve Claude skills that package specialized knowledge, repeatable workflows, and tool instructions. The guide covers concise instructions, reusable scripts and resources, template initialization, validation, and packaging into a distributable .skill file.
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Prepare code review requests with an implementation summary, requirements, and the exact Git commit range. Assemble reviewer instructions and organize follow-up actions by severity after a feature is completed or before changes are merged.
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Clarify an existing feature specification before implementation planning. The skill prioritizes consequential gaps, asks focused questions one at a time, updates the specification with accepted answers, and summarizes unresolved decisions and recommended next steps.
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