visual
Skill572 starsChanged 39 days agoMITView on GitHub
Turn the current work into one polished, self-contained HTML visual page — a recap of a branch's changes, a plan, a map of a folder, endpoint set, or architecture, or an interactive drill-down map of a skill pack or system (zoom, pan, click a node for details, double-click to open its inner view). Use when the user runs /visual or asks to visualise, picture, or visually recap a branch, PR, diff, plan, or part of a codebase, or to map a skill pack, its lanes, scripts, and hooks.
- Reads credentials
8 other projects use a version of this.
Adopted by
Most recently taken up by
- AcKeskin/contexturetheir own version, first seen Nov 1, 2026
- dsonders/claude-skillstheir own version, first seen Oct 20, 2026
- Pawel-Kica/ai-coding-100their own version, first seen Oct 17, 2026
- Pawel-Kica/claude-code-100their own version, first seen Oct 13, 2026
- dimitritholen/1337-claudetheir own version, first seen Sep 23, 2026
- StephenKaylonChan/claude-code-guidestheir own version, first seen Jun 26, 2026
Used with
Projects with it also use scope, spec and 3 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.
YuriNachosSkillscope
Configure claude-scope status line widgets for Claude Code. Use when user wants to customize widgets, change theme, reorder elements, or modify display style.
Also in 3 projects that use this
SentrySkillspec
Produce a verified spec — problem, desired outcome, and acceptance criteria — before building. Use when given a GitHub/Linear issue link, when starting from a fuzzy in-conversation idea, or asked to "figure out what to do" / "scope this" / "what should I build" — whenever the *what* isn't yet pinned down. Grills the ambiguities, checks the premise against the code, and produces acceptance criteria you sign off on — then hands to design-first.
Also in 3 projects that use this
photon-groveSkillunslop
Detects and rewrites generic, overly polished, or AI-sounding prose while preserving meaning. Use when the user asks to "unslop", humanize, de-AI, tighten, or review whether writing sounds generated.
Also in 3 projects that use this
MicrosoftSkillhandoff
Compact the current conversation into a handoff document for another agent to pick up.
Also in 4 projects that use this
GoogleSkilltdd
Test-driven development. Use when the user wants to build features or fix bugs test-first, mentions "red-green-refactor", or wants integration tests.
Also in 3 projects that use this
Other versions8 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 8
- AcKeskin/contexture★ 2same name
- Pawel-Kica/ai-coding-100★ 2same name
- Pawel-Kica/claude-code-100★ 2same name
- gauravv-g/claude-skills-collection★ 1same name
- minhtran3124/cursor-skills★ 1same name
- StephenKaylonChan/claude-code-guides★ 1same name
- dimitritholen/1337-claude★ 0same name
- dsonders/claude-skills★ 0same name
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.
- CLAUDE.mdCLAUDE.md
- git-syncSkill
- pr-security-reviewSkill
- super-boardSkill
- super-buildSkill
- super-collectSkill
- super-qaSkill
- super-reviewSkill
- ui-refine-loopSkill
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 7 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 42
Diagram first: every page carries at least one diagram of the real mechanism — new endpoints, modules, data flow — with change flags on …
- Distinctive: line 43
Lean, not thin: no boilerplate intro or "review the diff anyway" prose.
“Common” is measured: kept by at least 6 in 10 of the 7 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
/visual
One command, one page. You write a data.json; scripts/visual.py render injects it into assets/template.html, which draws everything inline (SVG diagrams, file map, diffs) with no build step and no runtime CDN. Paths below are relative to this skill's folder; run the script from inside the project being visualised.
Pick the mode
An argument wins: /visual recap [base], /visual plan [file], /visual map [skills-dir or map.json], /visual <path or thing> (explore).
With no argument, run python3 scripts/visual.py detect and take the first that holds:
- A plan was drafted in this conversation and not yet built → plan, from that text.
suggestedisrecap(branch ahead of base, or uncommitted changes) → recap.planCandidatesis non-empty → plan, from the newest one.- Otherwise → explore the current folder.
Say the chosen mode and its source in one line, then keep going.
Run it
- Gather. Recap:
python3 scripts/visual.py facts [--base REF], then readgit diff <mergeBase>once, in order, taking notes; scope is the whole work unit of this conversation. Plan: read the plan and the real files it names. Explore: read the target; hand wide sweeps to a sub-agent. - Write
data.jsonin the scratchpad, followingreferences/schema.mdand the section bar inreferences/sections.md. - Render:
python3 scripts/visual.py render data.json. It prints{"out", "bytes", "missingHunks", "check"}and opens the page. Fix each missing hunk (wrong path orcontains) and re-render. - Check.
renderrunsvisual.py checkin headless Chrome: light and dark screenshots (plus one drilled-in view for a map), and an audit of every diagram or view: edge crossings, edges sharing a line, labels lying on a line or a node, and text overflowing its box (check.counts). Exit 2 means a problem: move nodes (col/row, or a viewlayout), cut edges a view does not need, shorten labels, and re-render. Read the PNGs it lists; a broken diagram or empty section means fix and re-render.--no-checkskips it;--shots DIRpicks where the PNGs go. - Reply with the path, the mode, and a 1–3 line gist. Offer to publish it as an Artifact (the page is fully inline); publish only on a yes.
Map mode: a drill-down map
For a skill pack or any system with nested levels. The page is a clean flowchart, light first with a dark mode: one top bar (breadcrumbs, ⌘K search over nodes and views, theme, export, keys), a column browser of views on the left, the map in the middle, and a short details strip under it (header, then When to use · What it is · How it works · Example · Behind the scenes tabs). Wheel or pinch zooms, drag pans, the minimap moves the camera, a click opens the details, and double-click or Enter on a stacked node zooms into its inner view. Run-order views get swimlanes (Ask → Check → Fix → Finish …) when their parts name the phase. Breadcrumbs, Esc, and the browser back button go up; #view=<id>&node=<id> deep-links. On a phone the details become a bottom sheet.
- Skeleton.
python3 scripts/visual.py skillmap <skills-dir> --deep --out map.jsonreads SKILL.md frontmatter,families.json,/skillmentions, referenced scripts, andhooks/settings-snippet.json;--deepfollows every external skill into the skills it triggers. Not a skill pack? Writemap.jsonby hand. - Enrich. Read the skills and fill every node's
what,when,how, and realsource— the panel shows all four, so none stays empty. Main steps first: keep process views to roughly four to six columns, setmainSteps: true, and move scripts, state, and policies into a step’s child view. Every original node stays reachable. Hub views keep comb connectors. Mark outside skillskind: externalwithauthor(GitHub login) and addauthors;renderembeds their avatars. Fix edges and give each view a shortcaption.references/schema.md§ Map model is the contract. - Render:
python3 scripts/visual.py render --map map.json. It searches each view for a crossing-free layout and bakes it into the page, then runs the check. Publishing the page (GitHub Pages)? Add--source-base https://github.com/OWNER/REPO/blob/main/(and--source-root <dir>when the hosted repo is a subfolder) so Source links open the hosted file. Finish with steps 4–5 of Run it.
Rules
- Grounded: in recap mode, files,
+/-, and hunks come from git throughrender(hunks[].file+contains); hand-typed diff lines are for plan sketches only. Prose is the one free-text surface; label anything inferred as inferred. - Diagram first: every page carries at least one diagram of the real mechanism — new endpoints, modules, data flow — with
changeflags on what moved. Columns follow the flow, rows hold peers. - Lean, not thin: no boilerplate intro or "review the diff anyway" prose; every block says something specific about this change.
- Secrets: redact keys, tokens, and
.envvalues in every block (sk-•••). - Plan is read-only: make no source edits while planning.
- Output lands in a gitignored place:
_tmp/<date>-visual/when the repo ignores_tmp/, else.visual/(self-ignoring).--outoverrides.
References
references/schema.md— thedata.jsoncontract, diagram layout, and the map model; open before writing data.references/sections.md— per-mode section list and quality bar; open before writing data.THIRD_PARTY_NOTICES.md— Adapted from BuilderIO/skills (MIT); diagram style and viewer UX from tt-a1i/archify (MIT).
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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.

