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jackchukajackchuka/skills/gh-org-chart/SKILL.md

gh-org-chart

Skill15 starsChanged 9 days agoMITView on GitHub

Generate an interactive HTML org explorer from a GitHub organization. Surfaces team hierarchy, members, owned repos, and CODEOWNERS path attributions. Two stages: collect.sh writes a canonical JSON, render.py emits a self-contained HTML file. The JSON is the cache (mtime ≤ 24h skips re-collection) and is hand-editable. Triggers: "org chart", "team chart", "visualize github org", "who owns this repo", "github team hierarchy", "/gh-org-chart"

The file

We split this skill into the rules it gives an agent

5 rules. About 0 are common, 1 is distinctive, and 4 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈1

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 4

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    Resolve org: if provided as argument, use it.

    line 46
  2. Very specific:

    Verify auth: run gh auth status. Confirm read:org is in the scopes line.

    line 49
  3. Very specific:

    If --refresh was passed, or the file does not exist, or its mtime is older than 24h, run collect (Phase 3).

    line 56
  4. Very specific:

    Run the bundled collect script (handles zsh noclobber via rm -f):

    line 70
  5. Very specific:

    CODEOWNERS attribution: only @<org>/<team-slug> owners produce attributions.

    line 111

≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

GitHub Org Chart

Produces two artifacts in ${TMPDIR:-/tmp}/gh-org-chart/:

  • <org>-org.json — canonical data: teams, members (with role), repos (with archived flag and permission), CODEOWNERS paths. Cache + hand-editable source of truth.
  • <org>-org.html — single self-contained interactive explorer rendered from the JSON. Opens via file://, works offline.

Set OUT_DIR once at the start of every phase and reuse it:

OUT_DIR="${TMPDIR:-/tmp}/gh-org-chart"
mkdir -p "$OUT_DIR"

Arguments

  • /gh-org-chart — prompt for org.
  • /gh-org-chart <org> — render-if-fresh: if <org>-org.json exists and mtime is within 24h, re-render from it. Otherwise collect, then render.
  • /gh-org-chart <org> --refresh — force re-collect.
  • /gh-org-chart <org> --no-codeowners — skip CODEOWNERS scan (faster on big orgs).
  • /gh-org-chart <org> --no-members — drop members from collection and output.

Phase 1: Intake

  1. Resolve org: if provided as argument, use it. Otherwise ask:

    Which GitHub org should I chart?

  2. Verify auth: run gh auth status. Confirm read:org is in the scopes line. If not, instruct:

    gh auth refresh -s read:org then re-run the skill.

Phase 2: Decide collect vs. reuse

  1. Locate $OUT_DIR/<org>-org.json.
  2. If --refresh was passed, or the file does not exist, or its mtime is older than 24h, run collect (Phase 3). Otherwise skip to Phase 4.

    Freshness check:

    JSON="$OUT_DIR/$ORG-org.json"
    if [[ "$REFRESH" == "1" ]] || [[ ! -f "$JSON" ]] || \
       [[ $(($(date +%s) - $(stat -f %m "$JSON" 2>/dev/null || stat -c %Y "$JSON"))) -gt 86400 ]]; then
      NEEDS_COLLECT=1
    fi

Phase 3: Collect

  1. Run the bundled collect script (handles zsh noclobber via rm -f):

    rm -f "$OUT_DIR/$ORG-org.json"
    "${CLAUDE_SKILL_DIR:-$HOME/.claude/skills/gh-org-chart}/scripts/collect.sh" \
      "$ORG" $FLAGS > "$OUT_DIR/$ORG-org.json"

    Where $FLAGS is built from --no-codeowners and --no-members if set. CODEOWNERS scanning is the long pole — expect ~1 API call per owned repo. Big orgs (200+ owned repos with rate limiting): consider --no-codeowners.

Phase 4: Render

  1. Run the renderer:

    python3 "${CLAUDE_SKILL_DIR:-$HOME/.claude/skills/gh-org-chart}/scripts/render.py" \
      "$OUT_DIR/$ORG-org.json"

    This writes <org>-org.html next to the JSON (i.e. in $OUT_DIR).

  2. Open it (macOS):

    open "$OUT_DIR/$ORG-org.html"

    Other platforms: report the path so the user can open it themselves.

Phase 5: Report

  1. Summarize (set JSON="$OUT_DIR/$ORG-org.json"):
    • Teams: jq '.teams | length' "$JSON"
    • Owned repos (admin or maintain): jq '[.teams[].repos[] | select(.permission == "admin" or .permission == "maintain") | .name] | unique | length' "$JSON"
    • CODEOWNERS path attributions: jq '[.teams[].repos[].codeowner_paths // [] | length] | add // 0' "$JSON"
    • Member entries: jq '[.teams[].members[]] | length' "$JSON" (omit if --no-members).
    • Whether the JSON was freshly collected or reused from cache.

Notes

  • Hand-editing the JSON: edits survive across /gh-org-chart <org> runs because the freshness check reuses the file. Use --refresh when you want collection to overwrite your edits.
  • CODEOWNERS attribution: only @<org>/<team-slug> owners produce attributions. Individual user owners (@alice) and external orgs (@other-org/team-x) are intentionally ignored — this is a team-ownership view.
  • No reporting lines: GitHub teams reflect permission grouping, not management hierarchy. Manager → report relationships need a different data source (HRIS).
  • Performance: CODEOWNERS scan is restricted to owned repos (permission ≥ maintain) to keep API calls bounded. Collecting roles adds one ?role=maintainer call per team.
  • Data shape (for hand-editing / jq): members is [{login, role}] where role is "maintainer" or "member"; each repo carries permission and an archived flag. --no-members leaves members empty.

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