report
Skill1 starsChanged 4 months agoApache-2.0View on GitHub
Something went wrong or made the work harder — recorded where it belongs, and if it is the skill's own defect, packaged into a file you can send.
93 other projects use a version of this, 1 of them edited.
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 8 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.
ansvisorSkillopportunities
Finds content gaps, prompts worth tracking, and the off-site sources AI cites instead of the brand.
Also in 3 projects that use this
soilmassSkillexport
Animation export configurations including format selection, resolution, framerate, quality, and optimization settings. Use when rendering animations for web, mobile, video, or social media. Provides tokens for all export parameters across Lottie, GIF, video, and sprite sheet formats.
Also in 4 projects that use this
GoogleSkillquality
Evaluates whether a GitHub issue is spam, empty, needs more information, or is OK to proceed.
Also in 3 projects that use this
genomewalkerSkillresume
Resume a thread by loading its ~800-token context capsule
Also in 7 projects that use this
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.
Also in 3 projects that use this
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 · 1
- jamillazarev/multica-ops★ 1148% same
Wrote their own version · 92
- 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
82 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 repository22 other files it gives its agents.
The file
Files
Load the opsinist skill (SKILL.md) and run this flow — the procedure is in self-maintenance.md.
Something went wrong, or made the work harder than it needed to be. You do not have to know whose defect it is — that is the first thing this decides, and it decides it from the evidence rather than asking you to classify your own frustration.
Friction in your project becomes a field note in _ops/FIELD-NOTES.md, one line, swept at the next status check; a second occurrence earns a task with both occasions named. Friction in the skill operating it is assembled from evidence — version, flow, symptom, the run record, the state of the files involved — de-identified, and written whole to a file outside your repository, with its path said out loud and the ways to send it named. Publishing is yours: the file is made here, you post it.
Args: $ARGUMENTS
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.

