report
Skill0 starsChanged 2 months agoNo licenceView on GitHub
Generate a project status report from SPEC.md, issues/INDEX.md, and issues/FEATURES.md — feature-by-feature progress and QC status, what's currently in-progress, what's blocked on the user, and concrete next steps. Use this whenever the user asks for a status update, project overview, "where are we", "what's left", "how's it going", or invokes /report explicitly — including mid-session while running implement-issue or qc, not just once a project is fully done. Defaults to a concise text summary in chat; only builds a full visual dashboard artifact when the user explicitly asks for "the full report", "a dashboard", or something visual/shareable. Requires an existing issues/ folder (from doc-to-issues) — if none exists, say so instead of trying to synthesize a report from nothing.
93 other projects use a version of this.
Adopted by
Most recently taken up by
- BermanRoman/promt-seo-geotheir own version, first seen Nov 8, 2026
- eliasjnior/claude-skillstheir own version, first seen Nov 8, 2026
- ai-search-guru/getcito-worlds-first-open-source-aio-aeo-or-geo-tooltheir own version, first seen Nov 8, 2026
- leinardi/adversarial-review-looptheir own version, first seen Nov 8, 2026
- KadirHarmanc/nazar-skilltheir own version, first seen Nov 8, 2026
- zedarvates/frugal-skillstheir own version, first seen Nov 8, 2026
Used with
Projects with it also use opportunities, export and 10 more.
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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.
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GoogleSkillquality
Evaluates whether a GitHub issue is spam, empty, needs more information, or is OK to proceed.
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Resume a thread by loading its ~800-token context capsule
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tokyubevoxelverseSkillcheckup
Give a repository a full health exam — doc rot, dependency staleness, CI decay, git hygiene, dead links, docs contradicting code — and grade it. Use when the user wants to know what quietly rotted, or a prioritized maintenance list.
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rajnavakotiSkillscan
Run the AI dashboard scanner and generate the HTML report.
Also in 5 projects that use this
Other versions93 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 93
- microsoft/data-formulator★ 17ksame name
- Zafer-Liu/Data-Analysis-Agent★ 2.6ksame name
- H-mmer/pentest-agents★ 815same name
- ai-search-guru/getcito-worlds-first-open-source-aio-aeo-or-geo-tool★ 432same name
- cwinvestments/memstack★ 425same name
- automagik-dev/genie★ 351same name
- namastexlabs/automagik-genie★ 351same name
- ansvisor/ansvisor★ 233same name
- andrew-yangy/gru-ai★ 153same name
- zhaji2333/CkSKILLS★ 145same name
83 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 repository9 other files it gives its agents.
- doc-to-issuesSkill
- documentationSkill
- implement-backlogSkill
- implement-issueSkill
- interviewSkill
- polishSkill
- qcSkill
- review-issueSkill
- staging-qa-docSkill
The file
We split this skill into the rules it gives an agent
8 rules. 0 are common, 1 is distinctive, and 7 are very specific to this project.
0
Common
Most of the 68 edited versions we read keep these.
1
Distinctive
This author's own choices. Worth a look.
7
Very specific
Tied to their project's names, files or tools. Probably skip.
No licence file, so all rights are reserved — read it at the source. We count its rules but don't quote them. Read them on GitHub.
“Common” is measured: kept by at least 6 in 10 of the 68 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.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- 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.

