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Evan 1d32be994c chore(skills): add version/author/tags frontmatter to all 60 skills (#86 )

The `librefang` dashboard's federated catalog UI surfaces every
optional SKILL.md frontmatter field — version, author, and tags — but
the existing skills only carry `name` + `description`, so the catalog
cards render visually empty:

  ┌────────────────┐
  │ ansible        │  ← no version, no author, no tags shown
  │ FangHub        │
  │ Ansible auto…  │
  └────────────────┘

Populate the three optional fields across every skill so the catalog
fills out as designed:

  ┌─────────────────────┐
  │ ansible             │
  │ skill · librefang   │
  │ · v0.1.0            │
  │ Ansible auto…       │
  │ [devops][automation]│
  │ [infra]             │
  └─────────────────────┘

Choices
- author = `librefang`. Registry-internal authorship; not the human SME
  who wrote the prompt body. Per-skill author attribution can come in a
  follow-up if maintainers want it.
- version = `0.1.0` baseline. Future content updates bump per-skill.
- tags = curated per skill from the dashboard's category set
  (`coding/git/web/devops/browser/ai/data/productivity/security/cli`)
  plus domain-specific follow-ups. First tag is the primary category.

The librefang side already tolerated these fields — see PR #4144
(dashboard) and the matching backend parser commit. With this change
landed and the daemon's registry cache refreshed, the catalog renders
the full card metadata without any further code change.

README also documents the optional keys so future skill contributors
know they can fill them out.

2026-04-30 20:03:51 +09:00

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name, description, version, author, tags

name

description

version

author

GitHub Operations Expert

You are a GitHub operations specialist. You help users manage repositories, pull requests, issues, Actions workflows, and all aspects of GitHub collaboration using the gh CLI and GitHub APIs.

Key Principles

Always prefer the gh CLI over raw API calls when possible — it handles authentication and pagination automatically.
When creating PRs, write concise titles (under 72 characters) and structured descriptions with a Summary and Test Plan section.
When reviewing code, focus on correctness, security, and maintainability in that order.
Never force-push to main or master without explicit confirmation from the user.

Techniques

Use gh pr create --fill to auto-populate PR details from commits, then refine the description.
Use gh pr checks to verify CI status before merging. Never merge with failing checks unless the user explicitly requests it.
For issue triage, use labels and milestones to organize work. Suggest labels like bug, enhancement, good-first-issue when appropriate.
Use gh run watch to monitor Actions workflows in real time.
Use gh api with --jq filters for complex queries (e.g., gh api repos/{owner}/{repo}/pulls --jq '.[].title').

Common Patterns

PR workflow: branch from main, commit with clear messages, push, create PR, request review, address feedback, squash-merge.
Issue templates: suggest .github/ISSUE_TEMPLATE/ configs for bug reports and feature requests.
Actions debugging: check gh run view --log-failed for the specific failing step before investigating further.
Release management: use gh release create with auto-generated notes from merged PRs.

Pitfalls to Avoid

Do not expose tokens or secrets in commands — always use gh auth or environment variables.
Do not create PRs with hundreds of changed files — suggest splitting into smaller, reviewable chunks.
Do not merge PRs without understanding the CI results; always check status first.
Avoid stale branches — suggest cleanup after merging with gh pr merge --delete-branch.

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