graph
Skill1 starsChanged 29 days agoMITView on GitHub
Manual skill-and-system visualizer. ONLY triggers when the user explicitly types /graph followed by a skill name, system name, or file path (e.g. \"/graph beastmode\", \"/graph the ingest pipeline\"). Do NOT auto-fire on \"make a diagram,\" \"visualize this,\" or \"show me how this works.\" /graph reads the actual SKILL.md or system doc in full, extracts the real flow including branches and handoffs, and ships it as a self-contained HTML diagram (or an artifact if the environment supports one) in one pass. Accuracy over symmetry: the diagram shows what the file says, never an idealized version. Flag --light for a light background.
25 other projects use a version of this.
Adopted by
Most recently taken up by
- jskswamy/skillstheir own version, first seen Nov 8, 2026
- artemnovitckii/claude-animation-skillstheir own version, first seen Nov 8, 2026
- Yeachan-Heo/oh-my-claudecodetheir own version, first seen Nov 8, 2026
- renzrollon/interlocktheir own version, first seen Nov 5, 2026
- iwe-org/skillstheir own version, first seen Nov 1, 2026
- zbsaygin/econ-skillstheir own version, first seen Nov 1, 2026
Used with
Projects with it also use understand, ingest and 7 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.
agoodwaySkillunderstand
Multi-specialist collaborative analysis to understand how features, functions, or components work
Also in 3 projects that use this
JaimeGBASkillingest
Digest an external source (article, paper, transcript, URL, book chapter) and integrate its content into the knowledge base
Also in 4 projects that use this
genomewalkerSkillexplore
RLM-style recursive memory exploration - dynamically navigate the memory graph
Also in 3 projects that use this
MicrosoftSkillinit
Also in 3 projects that use this
AnthropicSkillstart
Set up your bio-research environment and explore available tools. Use when first getting oriented with the plugin, checking which literature, drug-discovery, or visualization MCP servers are connected, or surveying available analysis skills before starting a new project.
Also in 3 projects that use this
AnthropicSkilldebug
Structured debugging session — reproduce, isolate, diagnose, and fix. Trigger with an error message or stack trace, "this works in staging but not prod", "something broke after the deploy", or when behavior diverges from expected and the cause isn't obvious.
Also in 3 projects that use this
Other versions25 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 25
- Yeachan-Heo/oh-my-claude-sisyphus★ 41ksame name
- Yeachan-Heo/oh-my-claudecode★ 41ksame name
- atopile/atopile★ 4ksame name
- ZimoLiao/scholaraio★ 585same name
- artemnovitckii/claude-animation-skills★ 500same name
- smallnest/goal-workflow★ 283same name
- romarayt/raytsystem-public-os★ 140same name
- renzrollon/interlock★ 61same name
- ratomirjovanovic/pandaward★ 50same name
- drafthq/draft★ 40same name
15 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.
The file
We split this skill into the rules it gives an agent
9 rules. 0 are common, 5 are distinctive, and 4 are very specific to this project.
0
Common
Most of the 20 edited versions we read keep these.
5
Distinctive
This author's own choices. Worth a look.
4
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 17
No data files. The skill reads the file you point it at and writes one HTML file per run: graph-<subject>.html in the project root, subject …
- Very specific: line 19
Theme: Every diagram uses this token block.
- Distinctive: line 52
Does not fire on "make a diagram," "visualize this," "show me how this works," or any request without the slash command.
- Distinctive: line 56
Read the governing file before drawing anything.
- Distinctive: line 62
Never draw from memory or from the description field.
- Distinctive: line 72
Branches: Every conditional. Modes, flags, "if X then Y" forks, stop conditions, approval gates.
- Very specific: line 82
Use the token block from Setup.
- Very specific: line 96
Keep color-scheme: light on the root even on a dark canvas, and set --bg explicitly on the container rather than relying on the page.
- Distinctive: line 118
Never invent a step: If the source is ambiguous about ordering, draw it ambiguous and say which part was unclear.
“Common” is measured: kept by at least 6 in 10 of the 20 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
/graph: skill and system visualizer
/graph reads the file that governs a skill or system, pulls out the real flow (trigger, phases, branches, inputs, outputs, handoffs), and renders it as a finished diagram in one pass. The one failure it exists to prevent: a clean five-step pipeline drawn for a skill that actually branches three ways. It looks authoritative and it is wrong.
Setup
No data files. The skill reads the file you point it at and writes one HTML file per run: graph-<subject>.html in the project root, subject in kebab-case (graph-beastmode.html). If the environment can publish an artifact, publish the same HTML there too.
Theme. Every diagram uses this token block. Dark is the default; --light flips it.
:root {
color-scheme: light;
--bg: #0B0B0C;
--text: #F2F2F2;
--muted: #8A8A8E;
--accent: #5B8CFF;
--font: system-ui, -apple-system, "Segoe UI", Roboto, sans-serif;
}
:root.light {
--bg: #F7F7F8;
--text: #111113;
--muted: #6B6B70;
--accent: #2F63E0;
}Swap this block for your brand tokens. Nothing else in the skill names a color or font by value.
Your project's writing and formatting rules apply to any text in the output if you have them (CLAUDE.md or equivalent). Assume them.
Trigger
The user types /graph followed by a subject: a skill name, a system name, or a file path.
/graph beastmode
/graph the ingest pipeline
/graph docs/runbooks/deploy.md --lightDoes not fire on "make a diagram," "visualize this," "show me how this works," or any request without the slash command.
Step 1: Read the source in full
Read the governing file before drawing anything.
- A skill name resolves to its
SKILL.md. Read the whole file, not the description. - A system name resolves to whatever governs it: a README, a runbook, a config, a scheduled task prompt plus its log. More than one candidate: ask which.
- A path is read directly.
Never draw from memory or from the description field. The description is marketing; the body is the behavior. If the file cannot be found, say so and stop. Do not draw a plausible version.
Step 2: Extract the real flow
Pull these out of the source, in this order:
Trigger. What fires it, and explicitly what does not. A "do NOT auto-fire on" clause belongs on the diagram.
Phases. The numbered stages in the body. Use the file's own names for them, not tidied-up synonyms.
Branches. Every conditional. Modes, flags, "if X then Y" forks, stop conditions, approval gates. These are where a diagram adds the most value and what gets smoothed away most often.
Inputs and outputs. Files read, files written, where results land.
Handoffs. Other skills it routes to or receives from.
Accuracy rules. Never add a box for visual balance. Never merge two distinct steps because the layout is tight. Never drop a branch because it complicates the shape. When the real flow is ugly, draw the ugly flow; if the ugliness is a finding, say so in one line under the diagram.
Step 3: Apply the theme
Use the token block from Setup. Never hex-pick a color outside it. Never improvise a second font. Text is --text, secondary labels and connectors --muted, the trigger node and the final output node --accent. Under --light, add the light class to the root element.
Step 4: Render
Hand-authored inline SVG is the default: full control over color, type, and layout, no dependencies.
Mermaid is the fallback for graphs too large or too interconnected to hand-place cleanly. Load it from a public CDN in one script tag and initialize it with the theme tokens. Theme fidelity is weaker with Mermaid; name that tradeoff in one line when you use it.
Layout. Left to right for pipelines, top to bottom for phase stacks. Branches split visibly, never through label text. The trigger and the final output are the two most legible elements on the canvas. Legend only when the shapes carry meaning.
Step 5: Ship it
Write the complete self-contained HTML: styles inline, SVG inline, no external assets except the Mermaid script when used. Read it back to confirm it is whole. Publish it as an artifact if the environment supports one. Do not stop at the HTML and wait to be asked. The file is the deliverable, every time, unless the user says otherwise.
Keep color-scheme: light on the root even on a dark canvas, and set --bg explicitly on the container rather than relying on the page.
Step 6: Close
Three lines under the diagram, no more.
Source: [path read]
Branches shown: N
Anything surprising: [one line, or omit]The third line appears only when the file surfaced something worth knowing: a dead branch, a step with no exit, a handoff to something that does not exist, a stated cadence that contradicts the configured one. Those findings are half the value of drawing the thing.
Output
One self-contained HTML file at graph-<subject>.html (plus an artifact when available), then the three-line close. Nothing else.
Boundaries
One subject per run. A graph of the whole ecosystem is a different request. Say so and offer the top-level map with skills as single nodes.
Never invent a step. If the source is ambiguous about ordering, draw it ambiguous and say which part was unclear.
Never restate the skill in prose. The user has the file. The diagram is the output.
Count programmatically. Phases and branches get counted from the extraction, not estimated.
No source, no diagram.
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.

