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Contributor pipeline gardening

Skill JSONbored/awesome-claude/.claude/skills/contributor-pipeline-gardening

HeyClaude is a curated registry and distribution surface for Claude and AI-workflow assets: agents, MCP servers, skills, commands, hooks, rules, guides, tools, jobs, Raycast feeds, static data exports, and an npm MCP package.

Install
npx -y skills add JSONbored/awesome-claude --skill contributor-pipeline-gardening

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What its author says it does

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Maintenance of the contributor issue pipeline for JSONbored/awesome-claude (HeyClaude) — closing issues that are already done but not marked so, and keeping a small, high-value contributor-available backlog stocked with real website/content/feature/bugfix work. Runs every ~24h via a dedicated scheduled task. Invoke for "run the issue gardening", "audit open issues for stale/complete ones", "generate new contributor issues", or any recurring/scheduled run of this process. `reference.md` (next to this file) has the exhaustive label/milestone/ template detail — read it before doing real work, not just this file. This is the awesome-claude-specific instance; JSONbored/loopover and JSONbored/metagraphed each have their own separate copy with different conventions and a much larger backlog target — do not cross-apply either repo's specifics to this one without being asked.

SKILL.md

9.9 KB, as published. Nobody here has run it

Contributor pipeline gardening — awesome-claude (HeyClaude)

HeyClaude is a curated registry/directory of Claude and AI-workflow assets, plus the website (apps/web), registry/schema library (packages/registry), and MCP package (packages/mcp) that serve it. This is a much smaller, quieter repo than loopover/metagraphed — as of 2026-07-17 it had zero open gittensor:*-labeled issues and a thin, fully-closed 2-milestone history. This skill exists to build and then maintain a small, deliberately curated backlog — 15-25 contributor-available issues, not 50-100 — because padding a codebase this size to a larger number would mean weak/duplicate issues, which is explicitly worse than a smaller real backlog here.

The one thing this skill exists to prevent

Confirmed by the maintainer, 2026-07-17: contributors here have recently gravitated to test(...): cover X PRs — real tests, but zero behavior change, added purely to nudge Codecov's codecov/patch: 70% bar (a soft, easily-hit target — unlike loopover's 99% gate, 70% patch coverage is trivially satisfied by testing already-written code). A second anti-pattern found during this skill's initial research: issue #550 (a "growth sprint" umbrella with a long child checklist) was being farmed almost entirely for its single easiest repeatable pattern — wiring one more page into the existing intent-event/analytics-click convention, dozens of near-identical PRs (#5205, #5202, #5201, ... #5168, all Made with Cursor), rather than any of the umbrella's harder, more valuable child issues.

Never generate a standalone test(...): cover X issue. A regression test attached to a real bug fix is fine and expected (see the template in reference.md); a test-only issue with no behavior change is not. Never generate more instances of an already-being-farmed shallow repeatable pattern (check open issues and recent merged-PR titles for a dense run of near-identical titles before filing anything that looks like "wire pattern X into one more file/page/route" — if 5+ near-identical PRs already exist for the same pattern, that vein is farmed out, not a gardening opportunity). The whole point of this skill is issues that "drive real value... website/content/features grow... fix bugs/issues in frontend/backend" (the maintainer's own words) — not more of what a low-effort automated farmer already does better and faster than a well-scoped issue ever could.

Scope: code only, not content submissions

content/ (the curated directory entries themselves) is a legitimate, real contribution surface per .gittensory.yml's wantedPaths — but content submissions are explicitly PR-first, with linkedIssuePolicy: optional and issueDiscoveryPolicy: discouraged, routed through a private submission gate that doesn't need or want a GitHub issue first. This skill does not generate content-entry issues. It scopes to the three code surfaces: apps/web/src/ (the TanStack Start website — routes, components, lib), packages/registry/src/ (schema/validation/submission-risk library), and packages/mcp/ (the MCP server package), plus scripts/ when a real gap is there.

Unlike loopover/metagraphed, a linked issue is advisory here, not a hard gate (gate.linkedIssue: advisory in .gittensory.yml) — there is no auto-close mechanic forcing a contributor to pick an issue. That means an issue has to be genuinely worth picking up on its own merits (clear, valuable, narrow, low-ambiguity) rather than relying on gate pressure to make it attractive. Write every issue like it has to compete for a contributor's attention, because it does.

Pass 1 — stale-issue sweep (do this first, every run)

Same method as loopover/metagraphed's copy of this skill: for every open issue, query timelineItems(itemTypes: [CROSS_REFERENCED_EVENT]) for merged PRs that referenced it, then read the actual PR body for any hit where willCloseTarget was false. Close what's genuinely done (with a comment naming the shipping PR and a direct code check confirming it exists); leave partial work open. Given this repo starts with a near-empty gittensor backlog, most runs will find little or nothing to sweep here until the backlog this skill builds has had time to accumulate real activity — that's expected, not a sign the check is broken.

Verify against synced upstream, not a stale local checkout. Before treating any local grep/read as evidence that an issue's described work does or doesn't exist, confirm the code you're reading matches the default branch's current tip — fetch and fast-forward the checkout (or use a disposable worktree off origin/main if the primary checkout is dirty or has unpushed work on another branch) before doing any verification. A checkout that's merely clean isn't the same as current — a stale-but-clean checkout silently produced false "already done"/"not done" conclusions in the sibling loopover/metagraphed repos' gardening runs on 2026-07-17/18, causing duplicate issues to be filed for already-shipped work. Confirm sync every run; never assume a previous run's freshness carried over.

Also check issue #550 (the growth-sprint umbrella) and any other checklist-style tracker each run: sync stale checkboxes against real child-issue state, same as the sibling repos' Pass 1. Do not add new child issues to #550's shallow analytics-wiring pattern (see above) even if asked to "keep it topped up" — that pattern is already over-farmed.

Pass 2 — backlog top-up

  1. Compute the current contributor-available count: gh issue list --repo JSONbored/awesome-claude --state open --limit 1000 --json number,labels,assignees, filtered to unassigned, no maintainer-only, carrying a gittensor:* label. Target: 15-25, maintained continuously. If already in range, a quiet run that files 0-2 issues (or none) is a correct, expected outcome — this is a small repo, don't force volume.
  2. Real gaps to scope from, in priority order:
    • A genuine functional gap in apps/web/src/routes/*.tsx (~70 routes) — missing feature parity between similar pages, a real UX/accessibility gap, a bug found by reading the code against its own stated behavior.
    • A real correctness/hardening gap in packages/registry/src/ (schema/validation/risk-scoring logic) — found by reading the code, not by grepping for TODOs (a repo-wide TODO/FIXME sweep came back essentially empty as of 2026-07-17; this repo is clean, so gap-finding here means reading real logic against its own documented intent, the same technique loopover's gardening uses for its "hardening round" audits).
    • packages/mcp/'s tool/resource surface for a real, narrow parity or correctness gap.
    • Closed-milestone follow-ups: Code Quality — Round 5 (#3) and Growth & Maintainability — Round 7 (#4) are both fully closed, historical sprints — read a few of their closed issues for the kind of real, valuable work this repo's maintainer has asked for before, as a calibration reference for what "real value" looks like here, not as a source of reopenable work.
  3. Every new issue gets Contributor Backlog (Gardening) (milestone #5) — the two historical Round milestones are closed and not the target. This milestone was created 2026-07-17 specifically as the evergreen home for this skill's output (see reference.md's milestone-discipline note for why a new one was warranted here).
  4. Apply gittensor:bug / gittensor:feature / gittensor:priority (same 0.05x/0.25x/1.5x convention as loopover — gittensor:priority reserved, sparingly applied) plus help wanted. Do not apply size:*, category:*, contributor:*, pr:*, or submission-* labels — those belong to this repo's separate content-submission/PR-automation machinery, not gardening-filed issues.
  5. Use the repo's own existing product-feature.yml issue-form template (via gh issue create --template or matching its field structure manually) — see reference.md for the exact field list. This is a real, maintainer-authored template already built for exactly this use case; do not invent a different body structure.
  6. Check every new batch for a real dependency, then link with native addSubIssue/ addBlockedBy (confirmed working on this repo via GraphQL) — same discipline as the sibling repos: most independent bug/feature issues need no link; only connect a genuine prerequisite relationship.
  7. Quality over volume, always — this repo's small size makes padding especially visible and especially damaging to the "issues are worth picking up voluntarily" value proposition Pass 2's intro describes.

Daily digest

Same shape as the sibling repos': issues closed + why, checklists fixed, new issues filed with milestone/label, before/after contributor-available count (against the 15-25 target, not 50-100), anything left alone on purpose — including explicitly naming any shallow-pattern-farming or test-coverage-padding temptation that was deliberately declined.

Keep looking

Skills are one crate of 328,083. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.