gitlab:todos
openbooklet.com/s/gitlabtodosopenbooklet.com/s/gitlabtodos@1.0.0GET /api/v1/skills/gitlabtodosManaging GitLab todos inbox. Use when listing, filtering, or triaging GitLab todos (mark done, mark pending).
Orchestrating Claude Code agent teams. Use when creating teams, spawning teammates, assigning tasks, configuring teammate modes, or setting up team quality gate hooks.
Review Claude Code release notes for changes relevant to the user's skills, plugins, and tool usage. Use when the user asks "what's new in Claude Code?", "check for updates", "release notes", "new features", "what changed recently?", or wants to stay current with Claude Code.
Use this skill when you need to configure, create, or troubleshoot Claude Code hooks. This includes setting up PreToolUse hooks, PostToolUse hooks, UserPromptSubmit hooks, debugging hook failures, or any automation within Claude Code. Examples include "I want to run tests before every file edit", "My hook isn't firing", "1 out of 2 hooks ran", or "How do I create a hook that formats JSON output with jq?"
Creating and optimizing Claude Code Skills including activation patterns, content structure, and development workflows. Use when creating new skills, converting memory files to skills, debugging skill activation, or understanding skill architecture and best practices.
Create new skills, modify and improve existing skills, and measure skill performance. Use when users want to create a skill from scratch, update or optimize an existing skill, run evals to test a skill, benchmark skill performance with variance analysis, or optimize a skill's description for better triggering accuracy.
Type-safe CLI argument parsing with cleye. Use when writing CLI scripts, adding flags or parameters to Bun scripts, or parsing command-line arguments.
Branch workflow automation with git-town. Use when creating feature branches, syncing with upstream, proposing PRs, or managing stacked branch workflows.
Resolving git merge conflicts. Use when rebasing, merging, or cherry-picking results in conflicts.
GitHub Actions CI/CD workflow development and run monitoring. Use when creating or editing .github/workflows YAML files, configuring triggers, jobs, matrix strategies, caching, or artifacts. Also covers gh CLI for monitoring runs, viewing logs, and debugging failures.
Monitor GitHub Actions workflow runs and extract failure diagnostics. Use when watching CI after a push, checking workflow status, or investigating failed runs. Identifies failing jobs, extracts relevant error output, and returns a concise summary.
Managing GitHub notifications inbox. Use when listing, filtering, or triaging notifications (mark read, done, unsubscribe).
Fetch unresolved review comments from a GitHub pull request. Use when checking what review feedback needs to be addressed, whether review comments have been resolved, or resuming work on a PR with outstanding feedback.
GitLab REST and GraphQL API access via glab. Use when making API requests, querying project data, or automating GitLab operations.
Working with GitLab CI/CD pipelines and jobs. Use when viewing pipelines, debugging jobs, or validating CI configuration.
Investigate GitLab CI pipeline failures and extract diagnostic information. Use when checking pipeline status, debugging failed jobs, or monitoring CI after a push. Identifies failing jobs, extracts relevant error output, and returns a concise summary.
Browsing GitLab documentation efficiently. Use when you need to look up GitLab features, configuration, API details, or CI/CD syntax.
glab CLI basics and GitLab workflow overview. Use when working with GitLab repositories or adapting GitHub patterns to GitLab.
Working with GitLab merge requests via glab. Use when creating, updating, reviewing, or merging MRs.
Triage and batch-implement Claude-tagged Things todos as PRs for the claude config repo. Use when the user wants to work on their Claude Code improvement backlog, process Things todos tagged claude-code, or batch-implement configuration changes.
Targeted interview for execution-time clarification. Use when you hit an ambiguity or decision point during implementation that needs user input before proceeding.
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