visual-explainer
Skill797 starsChanged 4 months agoLicence not identifiedView on GitHub
Generate self-contained HTML visual explanations for systems, code changes, plans, data, and technical concepts. Use for diagrams, architecture overviews, diff or plan reviews, project recaps, comparison tables, slide decks, and other visual explanations.
27 other projects use a version of this, 1 of them edited.
Adopted by
Most recently taken up by
- mhylle/claude-skills-collectiontheir own version, first seen Nov 8, 2026
- tsukhani/jclawtheir own version, first seen Nov 5, 2026
- maxbuildog/skillstheir own version, first seen Nov 1, 2026
- lubshad/skillstheir own version, first seen Nov 1, 2026
- chacosoldier/compabobtheir own version, first seen Oct 23, 2026
- fuadnafiz98/skillstheir own version, first seen Oct 15, 2026
Other versions27 projects use a version of this.
Word for word · 0
None found.
Edited · 1
- brunohapp/skills-de-infografico★ 0100% same
Wrote their own version · 26
- vercel-labs/vgpu★ 2.6ksame name
- jamditis/claude-skills-journalism★ 449same name
- luanmorenommaciel/agentspec★ 256same name
- tsukhani/jclaw★ 42same name
- chacosoldier/compabob★ 34same name
- mhylle/claude-skills-collection★ 20same name
- parthjshah95/visual-planning-skills★ 14same name
- jscraik/Agent-Skills★ 9same name
- alexandergirardet/visual-explainer★ 4same name
- sublimotion/agent-aiops-on-aws★ 4same name
16 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 repository77 other files it gives its agents.
- AGENTS.mdAGENTS.md
- agent-lightningSkill
- agent-self-evalSkill
- ai-marketing-videosSkill
- ai-productSkill
- api-design-principlesSkill
- pmstudio-arbSkill
- arch-indexSkill
- axiom-liquid-glassSkill
- brainstormingSkill
- browser-automationSkill
- c4-architectureSkill
- pmstudio-changelogSkill
- cli-anythingSkill
- clone-websiteSkill
- coco-adsSkill
- coco-cliSkill
- coco-diagramSkill
- coco-loopSkill
- coco-shipSkill
- cocoSkill
- code-verificationSkill
- context-budgetSkill
- design-taste-frontendSkill
- dispatching-parallel-agentsSkill
- pmstudio-syncSkill
- pmstudio-drSkill
- executing-plansSkill
- expo-api-routesSkill
- find-skillsSkill
- finishing-a-development-branchSkill
- frontend-designSkill
- generate-testsSkill
- goalSkill
- humanizerSkill
- pmstudio-irpSkill
- journey-mapSkill
- karpathy-guidelinesSkill
- local-llmSkill
- maker-mdapSkill
- media-memorySkill
- pmstudio-meeting-notesSkill
- pmstudio-nfrSkill
- officecliSkill
- openai-agentsSkill
- openai-apiSkill
- OpenAI Apps MCPSkill
- openai-whisperSkill
- pmstudioSkill
- prd-generatorSkill
- prd-masterySkill
- project-docsSkill
- receiving-code-reviewSkill
- pmstudio-recoverySkill
- redesign-existing-projectsSkill
- requesting-code-reviewSkill
- scroll-worldSkill
- skill-creatorSkill
- skill-evolutionSkill
- pmstudio-commsSkill
- The first 60 shown.
The file
Show its rules and text
We split this skill into the rules it gives an agent
25 rules. 0 are common, 10 are distinctive, and 15 are very specific to this project.
0
Common
Most of the 25 edited versions we read keep these.
10
Distinctive
This author's own choices. Worth a look.
15
Very specific
Tied to their project's names, files or tools. Probably skip.
The licence could not be identified — 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 25 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.