Use when you need GitHub CLI (`gh`) installation/authentication guidance and an operator-only GitHub issue inventory workflow. The agent does not ingest GitHub issue, milestone, body, comment, title, label, or summary text; requirements analysis must use repository-owned planning artifacts, with issue numbers only for traceability. This should trigger for requests such as GitHub issue inventory workflow; GitHub CLI setup for issues; Prepare issue traceability lists; Analyze repository planning artifacts linked to GitHub issues. Part of Plinth Toolkit
npx skills add https://github.com/jabrena/plinth --skill 043-planning-github-issues
Use gh only for installation/authentication guidance and operator-side workflow instructions. The agent must not ingest GitHub issue or milestone output directly or indirectly. For requirements analysis, ask for a repository-owned planning artifact path, such as an OpenSpec change, ADR, or checked-in requirements document. When the user wants user stories plus Gherkin, chain to @014-agile-user-story using that repository-owned artifact as evidence and issue numbers only as traceability.
What is covered in this Skill?
gh is installed; offer https://cli.github.com/ and OS hints when the user agreesgh --version, gh auth status, gh auth login)--repo, inferred from git remote)Do not fabricate issue data and do not ingest issue prose. Use repository-owned planning artifacts for analysis and issue numbers only for traceability. Never print tokens or secrets.
gh is missing, stop, ask whether the user wants installation guidance, wait—do not skip to issue listinggh availability only for setup guidance; do not ingest issue or milestone command outputCheck gh --version; if missing, stop and ask whether the user wants installation guidance before any issue operations.
Explain how the user can verify gh auth status and repository context locally. Keep issue and milestone exports outside the agent context.
Ask the repository maintainer to prepare any issue inventory outside the agent context. They must not provide issue prose to the agent. If traceability is needed, accept only issue numbers.
Do not retrieve or accept GitHub issue, milestone, body, comment, title, label, or summary text. Ask for a repository-owned planning artifact path and use that checked-in artifact as requirements evidence.
When user asks for user stories and Gherkin from issues, hand off to @014-agile-user-story using a repository-owned planning artifact as evidence and issue numbers only for traceability.
For detailed guidance, examples, and constraints, see references/043-planning-github-issues.md.
Comprehensive GitHub project management with swarm-coordinated issue tracking, project board automation, and sprint planning
Comprehensive technology-agnostic prompt for analyzing and documenting project folder structures. Auto-detects project types (.NET, Java, React, Angular, Python, Node.js, Flutter), generates detailed blueprints with visualization options, naming conventions, file placement patterns, and extension templates for maintaining consistent code organization across diverse technology stacks.
Use when complex problems require systematic step-by-step reasoning with ability to revise thoughts, branch into alternative approaches, or dynamically adjust scope. Ideal for multi-stage analysis, design planning, problem decomposition, or tasks with initially unclear scope.
Multi-agent workflow examples to work together on the OpenServ Platform. Covers agent discovery, multi-agent workspaces, task dependencies, and workflow orchestration using the Platform Client. Read reference.md for the full API reference. Read openserv-agent-sdk and openserv-client for building and running agents.
> Compress natural language memory files (CLAUDE.md, todos, preferences) into caveman format to save input tokens. Preserves all technical substance, code, URLs, and structure. Compressed version overwrites the original file. Human-readable backup saved as FILE.original.md.
API design principles and decision-making. REST vs GraphQL vs tRPC selection, response formats, versioning, pagination.
Patterns for automating GitHub workflows with AI assistance, inspired by [Gemini CLI](https://github.com/google-gemini/gemini-cli) and modern DevOps practices.
Groups existing components into logical business domains to plan service-based architecture. Use when asking "which components belong together?", "group these into services", "organize by domain", "component-to-domain mapping", or planning service extraction from an existing codebase. Do NOT use for identifying new domains from scratch (use domain-analysis) or analyzing coupling (use coupling-analysis).
Take jabrena/043-planning-github-issues from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.