release-readiness
Skill1 starsChanged 22 days agoMITView on GitHub
Use when preparing mq-image-analyze for release by checking version sync, docs, tests, CLI, MCP tools, model safety, examples, and Git state.
- Reads credentials
48 other projects use a version of this.
Adopted by
Most recently taken up by
- voyager67/AgentFieldkittheir own version, first seen Nov 8, 2026
- HumSaw/shipwright-skillstheir own version, first seen Nov 8, 2026
- RaditteAnggoro/skill-for-lazy-developertheir own version, first seen Nov 8, 2026
- nledford/engineering-review-boardtheir own version, first seen Nov 3, 2026
- pulsejet/memoriestheir own version, first seen Nov 1, 2026
- florian101010/awesome-agentic-AI-coding-templatetheir own version, first seen Nov 1, 2026
Used with
Projects with it also use dependency-cve-sweep, fleet-standard-adoption and 10 more.
Other files people use alongside this one.
Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
berntpoppSkilldependency-cve-sweep
Use when handling Dependabot PRs, CodeQL/Trivy alerts, or doing a routine dependency/CVE sweep for this repo.
Also in 12 projects that use this
berntpoppSkillfleet-standard-adoption
Use when bringing this repo into compliance with a GeneFoundry fleet standard (tool-naming, response-envelope, container-hardening, versioning, MCP transport, or logging) or closing its tracking issue.
Also in 12 projects that use this
IgorGanapolskySkillci-failure-triage
Triage a CI / PR check failure by READING the failure body before forming any hypothesis. Triggered whenever a required check is red, a PR is BLOCKED, a merge won't land, or you're about to call a failure "transient", "flaky", "stale", or "orphaned". Prevents dismissing a real failure (e.g. real CodeQL security alerts) as noise.
Also in 14 projects that use this
VersoXBTSkillcode-quality-review
Perform structured code reviews enforcing quality standards, naming conventions, architecture patterns, and team agreements. Use when the user says 'review this code', 'code review', 'check quality', 'review my PR', 'what's wrong with this', 'improve this code', 'review before merge', 'peer review', or 'audit this'. Also triggers on 'code quality', 'review standards', 'enforce conventions', 'tech debt check', 'lint review', or when user completes a significant code change.
Also in 12 projects that use this
ffsshhttiikkSkillunit-testing
Unit testing best practices and patterns
Also in 3 projects that use this
jarosser06Skilltest-strategy
Plans pytest test strategies for Drift's 90%+ coverage requirement using coverage analysis, edge case identification, and test suite design. Use when determining what tests to write, analyzing coverage gaps, or planning test strategies.
Also in 4 projects that use this
- +2 more from berntpopp
Other versions48 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 48
- dotnet/maui★ 23ksame name
- pulsejet/memories★ 3.9ksame name
- AIEraDev/Clypra★ 3.4ksame name
- jordanhubbard/nanolang★ 629same name
- petrkindlmann/qa-skills★ 209same name
- colasama/MahoShojo-Generator★ 167same name
- MRCalderon3D/everything-game-dev-code★ 105same name
- Azure/odinforazurelocal★ 20same name
- jpantsjoha/ai-native-developer-experience★ 13same name
- nledford/engineering-review-board★ 11same name
38 more not listed
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository15 other files it gives its agents.
- AGENTS.mdAGENTS.md
- CLAUDE.mdCLAUDE.md
- cli-maintainerSkill
- docs-maintainerSkill
- image-quality-auditSkill
- json-contract-maintainerSkill
- mcp-tools-maintainerSkill
- model-setup-maintainerSkill
- repo-awareSkill
- reverse-promptSkill
- screenshot-ui-reviewSkill
- vision-regression-evalSkill
- visual-architecture-analysisSkill
- visual-reasoningSkill
- web-ui-maintainerSkill
The file
We split this skill into the rules it gives an agent
2 rules. 0 are common, 1 is distinctive, and 1 is very specific to this project.
0
Common
Most of the 47 edited versions we read keep these.
1
Distinctive
This author's own choices. Worth a look.
1
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 8
Use this skill before tagging or publishing mq-image-analyze.
- Distinctive: line 58
If a narrower check is enough:
“Common” is measured: kept by at least 6 in 10 of the 47 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Release Readiness
Use this skill before tagging or publishing mq-image-analyze.
Evals
Should trigger
- "is mq-image-analyze ready to release?"
- "run the release checklist"
- "check version and changelog alignment"
- "what's blocking the release?"
Should not trigger
- "update the docs" → use
docs-maintainer - "add a CLI flag" → use
cli-maintainer - "change a model backend" → use
model-setup-maintainer
Always Inspect
git status --shortVERSIONpyproject.tomlCHANGELOG.mdREADME.mdSKILLS.mddocs/release.mddocs/json-schema.mddocs/mcp-tools.mddocs/tool-safety.mdscripts/validate.shrelease-check.sh
Blockers
- dirty worktree with unrelated changes
- version mismatch between
VERSION,pyproject.toml, README, and changelog - failing tests
- CLI entry point failure
- tracked model weights or
.env - docs missing new CLI/MCP/JSON behavior
- skill status drift
- output contract changes without schema/tests
Verification
bash scripts/validate.sh
bash release-check.shIf a narrower check is enough:
python -m compileall mq_image_analyze -q
python -m pytest -q
mq-image --help
mq-image --versionReport Format
Return:
- status: ready, blocked, or uncertain
- blockers
- changed files
- checks run
- checks skipped and why
- model/API credentials not verified, if applicable
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
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- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

