feat(skills): add nemoclaw-maintainer-quick-wins skill

[cjagwani]

Summary

Reviewer autopilot — ranks open PRs by blended merge-readiness × impact × staleness, runs a two-lens judgment chain (Scope/Coverage + Sequencing) then a Karpathy review lens then tiered local testing, produces a verdict + draft RFR.

Behavior

• Local-only by default — drafts only, never posts to GitHub.
• Emits a JSON sidecar (/tmp/nemoclaw-skill-output-quick-wins-<run_id>.json) for chaining with sibling maintainer skills in the suite.

Conformance audit — Claude Agent Skills best practices

This skill was audited against the official Skill authoring best practices before draft. Per-item evidence:

Core quality

Item	Status	Evidence
Description specific + key terms	✓	description is 585 chars (under 1024 cap), first word Ranks (third-person, per spec)
Description has WHAT + WHEN	✓	Explicit Use when… trigger phrase present in the description
SKILL.md body under 500 lines	✓	Currently 282 lines (56%)
Additional details in separate files	✓	Supporting files: JUDGMENT-CHAIN.md, MULTI-MODEL-TESTING.md, TIERED-TESTING.md, PROACTIVE-LOG.md, KARPATHY-LENS.md, LESSONS-LEARNED.md
Progressive disclosure used appropriately	✓	Heavyweight content extracted to one-level-deep supporting files where applicable
No time-sensitive info	✓	No absolute month/year cutoffs ("before/after MONTH 20YY" patterns) — all references are anchored to events or commits
Consistent terminology	✓	Audited for variant spellings (open issue vs open-issue, skill vs Skill, etc.)
Examples are concrete	⚠	2 real PR/issue references in SKILL.md: #1954, #2290
File references one level deep	✓	All supporting files linked directly from SKILL.md, never nested-deeper
Workflows have clear steps	✓	Numbered steps with explicit halt/stop conditions

Code and scripts

Item	Status	Notes
Scripts solve problems vs punt	✓	This is a markdown-only skill — no executable scripts in scripts/
Error handling explicit	✓	"Halt conditions" section enumerates non-obvious failure modes
No voodoo constants	✓	Thresholds (e.g. --min-confidence 0.6, --top N) documented with rationale
No Windows-style paths	✓	All paths use forward slashes
Validation/verification steps	✓	Critical operations gated by per-rule preflights
Feedback loops	✓	Calibration log / audit log where applicable for iteration based on real outcomes

Testing

Item	Status	Evidence
≥3 evaluations	✓	evals/ contains 3 JSON scenarios following the docs' eval schema
Multi-model test plan	✓	MULTI-MODEL-TESTING.md — Haiku / Sonnet / Opus expectations, pass criteria per eval, known model-size risks
Tested across all 3 models	⚠	Test plan documented, not yet executed. PR is draft for visibility; the team can run the eval suite during adoption review
Tested with real usage	✓	Skill exercised on the live NemoClaw queue during 2026-05 maintainer sessions; reference cases in SKILL.md

Frontmatter constraints (validated)

• name: nemoclaw-maintainer-quick-wins — under 64 chars, lowercase + hyphens, no reserved words ("anthropic" / "claude")
• description: third-person verb-initial, under 1024 chars, no XML tags, includes explicit Use when… trigger

Notes for reviewers

Part of an 11-skill maintainer suite. Draft for visibility. The team's <10 open-PR policy means 6 are open and 5 are closed-but-branch-preserved; reopen via gh pr reopen <num> as slots free up.

🤖 Generated with Claude Code

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[coderabbitai]

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Please check the settings in the CodeRabbit UI or the .coderabbit.yaml file in this repository. To trigger a single review, invoke the @coderabbitai review command.

⚙️ Run configuration

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Review profile: CHILL

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Use the checkbox below for a quick retry:

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✨ Finishing Touches

🧪 Generate unit tests (beta)

• Create PR with unit tests
• Commit unit tests in branch ship-skill-quick-wins

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[github-actions]

E2E Advisor Recommendation

Required E2E: None
Optional E2E: None

Workflow run

Full advisor summary

E2E Recommendation Advisor

Base: origin/main
Head: HEAD
Confidence: high

Required E2E

• None. No E2E is recommended. The PR only adds .agents skill documentation and eval fixtures for maintainer review automation. It does not modify production CLI/plugin code, YAML blueprint or network-policy assets, GitHub workflows that execute user flows, installer/onboarding, sandbox lifecycle, credentials, inference routing, deployment, or any real assistant runtime path.

Optional E2E

• None.

New E2E recommendations

• None.

[jyaunches]

Superseded by the NemoClaw team skills GitLab repository snapshot: https://gitlab-master.nvidia.com/jyaunches/nemoclaw-team-skills. Closing this PR so skill sharing continues in the dedicated team-skills repo instead of merging these skills into NemoClaw directly.