Monitor a live application after deployment and compare it with a saved baseline, a record of its earlier state. Check page responses, loading times, and new errors, flag persistent changes, and produce a per-page health report.
Create a separate Git working directory for feature development without switching your current branch. The skill checks branch names and ignore settings, prepares dependencies, and starts background checks, with options for separate dependency installation.
Audit Claude Code instruction rules against actual project files to find broken settings, overly broad scopes, and loading issues. Review each rule’s usefulness with the user, then apply confirmed changes or produce an audit report.
Assess your Claude Code knowledge through multiple-choice questions with immediate feedback. Choose a quick check or a comprehensive assessment to identify gaps and receive a prioritized learning path, with practice projects included in the comprehensive mode.
Follow a structured Claude Code curriculum with tracks for different goals. Record concrete evidence from project exercises, unlock modules when prerequisites are complete, and check scheduled reviews while keeping progress data inside the current project.
Coordinate feature development from product direction through architecture, planning, validation, and implementation. Run the whole workflow or start at a selected stage, with saved decisions, review checkpoints, and a final pull request.
Rebuild project context after clearing a conversation or returning to work. Review recent Git history, uncommitted changes, and TODO markers to get a structured summary of project status and suggested next steps.
Launch a terminal or web dashboard to inspect Claude Code activity across projects. Browse sessions, search messages, track token usage and estimated costs, and check MCP servers that connect external tools to the agent.
Compare alternative ways to solve a coding problem, including when each approach fits and its advantages and drawbacks. Get a comparison table and a recommendation based on the current context, with code examples in detailed mode.
Audit a Claude Code installation for the cache issues documented in this skill. Check versions, configuration files, session resume usage, and installed binaries, then report exposure, suggested actions, and informational limits on tool result retention.
Audit a collection of agent skills for valid settings, clear activation conditions, complete workflows, and required files. Get scores for each target platform, prioritized fixes, and a separate record of whether activation was actually tested.
Clean up Git worktrees, separate working folders for branches, by identifying merged branches and reviewing unmerged ones. Preview deletions, preserve protected branches, and receive a report of removed folders and reclaimed disk space.
Update a session handoff document while preserving completed work history. Add newly touched files and findings, replace the current status and next steps, and create a new document when no existing handoff is identified.
Analyze code, database queries, or systems for performance problems involving speed, memory, and frontend file size. Get prioritized recommendations with code examples, expected impact, implementation effort, risks, and a roadmap for improvements.
Prepare a branch for a pull request by running local tests, checking types for Node projects, pushing commits, and showing the CI pipeline link. Failed checks stop the workflow before the push.
Audit custom subagents, the specialized assistants used by Claude Code and Codex. Check whether definitions load, identify overlapping roles, review model choices and tool access, and receive scores with prioritized fixes and optional confirmed edits.
Turn repository documentation and images into a complete landing page with features, setup instructions, and FAQs. Generate static HTML, CSS, and JavaScript files, plus a GitHub Actions workflow for publishing on GitHub Pages.
Check CI, the automated checks run on code changes, for the current branch alongside recent commits. Supports GitLab CI and GitHub Actions, with optional pull request or merge request numbers and links when command-line tools are unavailable.
Check your understanding of code you recently wrote, edited, or accepted from AI. Answer questions one at a time, receive explanations, and finish with a score, strengths, review topics, and suggested practice.
Generate tests for a specified file or module using the project’s testing conventions. Cover expected behavior, unusual inputs, boundaries, failures, and external interactions, with independent tests and mock substitutes for external dependencies.
Assess a codebase across seven areas, including exposed credentials, security, dependencies, structure, and tests. Receive category scores, findings tied to file locations, and a prioritized improvement plan with smaller tasks that can be completed quickly.
Create a structured Markdown handoff from the current conversation, covering scope, relevant files, discoveries, completed work, status, and next steps so another agent or a later session can resume the task.
Learn programming concepts through a short definition, a minimal code example, and a practical use case. Explanations adapt to experience level, highlight common mistakes, and suggest related topics and a small practice exercise.
Remove a specific Git worktree, a separate working directory for a branch, after checking uncommitted work and merge status. Clean up branches and stale references, protect important branches, and provide reminders for related database cleanup.
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