diagram-design
Create branded architecture, IT current-state, flowchart, sequence, state machine, ER/data model, timeline, swimlane, quadrant, radar/spider, polar chart (polar/radial lollipop), loop/flywheel, nested, tree, org chart, layer stack, Venn, pyramid/funnel, treemap, bar, line, Gantt
Supply asset profile
Research and knowledge work
Deep research, source comparison, literature review, RAG, knowledge search, and reports.
Scenario
Document processing
I need my agent to read PDFs, extract tables, and turn documents into structured data.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add cathrynlavery/diagram-design --skill diagram-design
Maintenance
fresh
2d since push
Risk
Needs review
Financial research output is not financial advice; require human review before any live investment decision
GitHub quality
24K
91/100 Quality · 85/100 Trust
Coverage tags
Review notes
Financial research output is not financial advice; require human review before any live investment decision · Financial research output is not financial advice; require human review before any live investment decision.
Agent adoption scorecard
Trust, audit, and install readiness at a glance
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
ExcellentHigh-confidence pick with strong adoption and healthy maintenance signals.
Trust
Review then installGood shortlist signal, but the agent should review audit notes, install policy, and outcome evidence before running it.
Audit
Needs reviewA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Human review before install
Use as the primary candidate after human or sandbox review.
Stars
24K GitHub stars
Repo activity
24K stars, 1.5K forks
Maintenance
2d since push
License
MIT
Install
npx skills add cathrynlavery/diagram-design --skill diagram-design
Install safety
standard package or runtime install path
Permission surface
filesystem or document access, database access
Agent outcomes
No agent outcome data yet
Docs
Strong README/SKILL.md context
Risk summary
Review before production
- Financial research output is not financial advice; require human review before any live investment decision.
- Quality score needs review
Install readiness
Install path available
- Install path is available
- Repository evidence is available
- License is declared
- No Agent Proven outcome evidence yet
Agent-readable metadata
Machine-readable decision data for this skill.
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
- Document processing workflows
- Claude Code teams
- teams that value GitHub adoption signals
- Read uploaded files
Suited agents
Install decision
- Command
- npx skills add cathrynlavery/diagram-design --skill diagram-design
- Policy
- review
- Human review
- yes
Trust and risk
- Trust
- 77/100
- Audit
- 89/100
- Risk level
- Needs review
Outcome loop
- Endpoint
- /api/agent/outcome
- Event ID
- resolve
- Outcomes
- 5
Install command
npx skills add cathrynlavery/diagram-design --skill diagram-designDo not use when
- teams that need a vendor-supported SLA
- high-compliance environments without internal security review
- No major risk signals from current metadata
- Financial research output is not financial advice; require human review before any live investment decision
- Financial research output is not financial advice; require human review before any live investment decision.
Agent safety v2
69/100 · Review before install
Usable candidate, but the agent should surface permission and audit notes before installation.
Require human approval before installing into a real workspace.
medium
Network access
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Filesystem access
Skill may read or write project files, documents, generated artifacts, or local workspace state.
medium
Database access
Skill may inspect schemas, query databases, or work with persistent stores.
- Financial research output is not financial advice; require human review before any live investment decision
Install targets
Install this skill in your agent workflow
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
OpenAgentSkill CLI
Resolve policy, run the source installer safely, and report a verified install receipt.
$ npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.2.1/openagentskill-0.2.1.tgz install cathrynlavery-diagram-designAgent resolve plan
Let an agent verify fit before installing.
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Open JSON
/api/agent/resolve?task=Use%20diagram-design%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20diagram-design%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/cathrynlavery-diagram-design/install
Agent should check
- Task fit and alternatives from Resolve API.
- Audit score, trust score, and safety policy warnings.
- Install target compatibility for Codex, Claude Code, Cursor, or CLI.
Copy prompt
Task: Use diagram-design in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20diagram-design%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/cathrynlavery-diagram-design/install
Install command: npx skills add cathrynlavery/diagram-design --skill diagram-design
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Give an agent the install path, not another directory page.
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/cathrynlavery-diagram-design/install
LLM text format
/api/skills/cathrynlavery-diagram-design/install?format=text
Find alternatives
/api/skills/search?q=diagram-design&limit=3
Agent prompt
Use diagram-design for this task. Review https://www.openagentskill.com/api/skills/cathrynlavery-diagram-design/install, then install with: npx skills add cathrynlavery/diagram-design --skill diagram-designRegistry metadata
Agent-readable profile for automatic skill selection.
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
Manifest
/api/registry/manifest/cathrynlavery-diagram-design
LLM text
/api/registry/manifest/cathrynlavery-diagram-design?format=text
Install alias
/api/registry/install/cathrynlavery-diagram-design
Recommend
/api/registry/recommend?task=Use%20diagram-design%20in%20an%20agent%20workflow&limit=3
Agent fit
Document processing
Use-case tags
Platforms
Claude Code
Audit report
Needs review · 89/100
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Primary pick for Document processing
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Role in stack
Primary pick
Primary fit
Document processing
Trust label
Production-ready
Install path
Command ready
Use when
- Document processing workflows
- Claude Code teams
- teams that value GitHub adoption signals
Evidence
- 24,192 GitHub stars
- recent repository activity
- install command or GitHub repo available
- 91/100 quality profile
- 12 OpenAgentSkill engagement events
review first
- No major risk signals from current metadata
Implementation path
- 1Install it in a sandbox agent and run one Document processing task end to end.
- 2Compare output quality, latency, and failure behavior against at least one alternative.
- 3Promote it into production only after reviewing repository permissions, license, and maintenance signals.
Trust profile
Review then install
Good shortlist signal, but the agent should review audit notes, install policy, and outcome evidence before running it.
GitHub adoption
PASS24K GitHub stars
Stars/forks activity
PASS24K stars, 1.5K forks; issue activity unavailable in current metadata
Recent maintenance
PASS2d since push
License clarity
PASSMIT
Good signals
- AI review approved
- Install path is available
- Repository evidence is available
- Recently maintained repository
- Large GitHub adoption signal
- Install command has no obvious high-risk pattern
- Outcome loop is ready but needs first real agent run
Review before install
- Financial research output is not financial advice; require human review before any live investment decision.
- Quality score needs review
- No real agent outcome reports yet
- Human review required before unattended installation
Recommended action
Use as the primary candidate after human or sandbox review.
Quality profile
Excellent candidate for agent workflows
High-confidence pick with strong adoption and healthy maintenance signals.
Workflow fit
Use this skill in these scenarios
Parse messy files
Document processing
I need my agent to read PDFs, extract tables, and turn documents into structured data.
Operate local tools
Local desktop
I need my agent to operate local files and desktop apps in a repeatable workflow.
Search private knowledge
RAG and knowledge
I need my agent to build a RAG workflow over documents and retrieve reliable context.
Workflow fit
Add it to a complete workflow
Scrape, clean, and reuse web data
Web data pipeline
A practical workflow for agents that crawl public pages, extract clean content, normalize data, and hand it to downstream research or RAG workflows.
Find, compare, and synthesize
Research report agent
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Design, build, test, and ship interfaces
Frontend and UI
A practical workflow for agents that turn product briefs or Figma designs into polished frontend code, review the result, test it in a browser, and prepare a safe deployment.
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Compare before you install
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Overview
--- name: diagram-design description: Create branded architecture, IT current-state, flowchart, sequence, state machine, ER/data model, timeline, swimlane, quadrant, radar/spider, polar chart (polar/radial lollipop), loop/flywheel, nested, tree, org chart, layer stack, Venn, pyramid/funnel, treemap, bar, line, Gantt and scatter charts, high-level, process, medallion, data flow, DP integration, DP security matrix, Sankey, fishbone, Wardley map, kanban, user journey, deployment, dependency graph, UML class, story map, or database schema diagrams as standalone HTML/SVG/PNG. Redraw .drawio/.drawio.png/.drawio.svg or Mermaid .mmd sources at a chosen size/detail; onboard brand tokens from a website; add semantic patterns, callouts, accessible motion, or sketchy/hand-drawn styling. license: MIT metadata: version: "2.6" ---
# Diagram Design
Create visual diagrams as self-contained HTML files with inline SVG and CSS, following an opinionated editorial design system.
Thirty-nine visual types. Semantic patterns describe behavior independently; type references describe layout. Details load from `references/` only when selected.
---
## 0. First-time setup — style guide gate
**Before generating your first diagram in a new project, verify the style guide has been customized.**
Don't silently ship default-skinned diagrams into a branded project.
First check the project root for a `.diagram-design` marker and resolve it per [`references/profiles.md`](references/profiles.md). A valid marker whose profile exists selects that file directly and skips this gate; `profile: default` also skips it. A malformed or missing-profile marker follows the visible failure handling in that reference. Never copy a marker-selected profile over the installed working copy.
Open [`references/style-guide.md`](references/style-guide.md) and check the default tokens. If they're still the shipped defaults (paper `#f5f5f5`, ink `#2d3142`, accent `#eb6c36` atomic-tangerine), **pause and ask the user**:
> *"This is your first diagram in this project. The style guide is still at the default (neutral white-smoke + atomic-tangerine). Do you want to customize it to match your brand first? Options: (a) pull from your website URL, (b) extract from an installed skill, (c) extract from a local folder / design-system directory, (d) paste tokens manually, (e) proceed with the default for now, (f) load a saved client profile."*
Then branch per the matching section of [`references/onboarding.md`](references/onboarding.md); for **(f)** follow [`references/profiles.md`](references/profiles.md).
**Once the style guide has been customized** (or the user explicitly opted for default), skip this gate on subsequent runs. A leading profile header names the copied-in active profile. Without a header, any semantic-role value or typography family differing from shipped defaults means **custom-unsaved**: skip the gate and offer to save it as a profile. All-default tokens with no marker/header trigger the gate. At the end of every onboarding method, offer to save the result as a named client profile per `references/profiles.md`.
---
## 1. Philosophy
**The highest-quality move is usually deletion.**
Applied to schematics:
- Every node represents a distinct idea. Two nodes that always travel together are one node. - Every connection carries information. If the relationship is obvious from layout, remove the line. - Coral is **editorial, not a flag.** 1–2 focal nodes per diagram. Using it on 5 nodes erases the signal. - The schematic isn't done when everything is added. It's done when nothing can be removed.
**Target density: 4/10.** Enough to be technically complete. Not so dense it needs a guide. Above 9 nodes, it's probably two diagrams.
---
## 2. When to Use
Use for any of the 39 visual types (§3) when a reader will learn more from a visual than from prose, a table, or a bulleted list.
**Don't use for:**
- Quick unicode diagrams → use **wiretext**. - Lists of things → table or bullets. - Simple before/after → table. - One-shape "diagrams" → just write the sentence.
Before drawing, ask: *Would the reader learn more from this than from a well-written paragraph?* If no, don't draw.
---
## 3. Selection: semantic pattern, then visual type
When behavior, state, enforcement, or risk carries the meaning, first load [`references/semantic-patterns.md`](references/semantic-patterns.md) and choose one primary pattern. Then choose the nearest visual type for layout. If no pattern matches, choose the type directly.
| Behavioral trigger | Semantic pattern → nearest type | |---|---| | Fan-in, queue depth, finite capacity, bottleneck | **Fan-in queue / bottleneck** → Data flow | | Repeated Question / Input / Governance / Output slots across stages | **Stage framework with semantic slots** → Process | | Conversation or loose input becomes a structured durable artifact | **Unstructured input → structured artifact** → Data flow | | Two rule traces need pass/fail/skipped/not-reached and first divergence | **Paired policy-evaluation traces** → Flowchart | | Trust boundaries plus permitted/forbidden ingress or deploy paths | **Secure paved road** → Architecture | | Controls grouped by where they are enforced | **Governance / control catalog** → Layer stack | | Defenses compensate for prior gaps and residual risk propagates | **Compensating security layers** → Layer stack |
The pattern owns semantic primitives and its tighter budget; the type owns layout grammar. Use [`references/animation.md`](references/animation.md) only when motion is requested or materially clarifies ordered change; static remains the default.
### Visual-type guide (39)
| If you're showing… | Use | Reference | |---|---|---| | Components + connections in a system | **Architecture** | [type-architecture.md](references/type-architecture.md) | | Legacy IT landscape grouped by phase/department; documents the *before* state in modernization proposals | **IT current-state** | [type-it-state.md](references/type-it-state.md) | | Decision logic with branches | **Flowchart** | [type-flowchart.md](references/type-flowchart.md) | | Time-ordered messages between actors | **Sequence** | [type-sequence.md](references/type-sequence.md) | | States + transitions + guards | **State machine** | [type-state.md](references/type-state.md) | | Entities + fields + relationships | **ER / data model** | [type-er.md](references/type-er.md) | | Events positioned in time | **Timeline** | [type-timeline.md](references/type-timeline.md) | | Cross-functional process with handoffs | **Swimlane** | [type-swimlane.md](references/type-swimlane.md) | | Two-axis positioning / prioritization | **Quadrant** | [type-quadrant.md](references/type-quadrant.md) | | Multiple entities scored across 3–5 quantitative criteria | **Radar / Spider** | [type-radar.md](references/type-radar.md) | | One quantitative series across cyclic categories; angle=category, radius=magnitude | **Polar chart** | [type-polar.md](references/type-polar.md) | | Reinforcing cycle / flywheel where the last step feeds the first and a shared hub accumulates state | **Loop** | [type-loop.md](references/type-loop.md) | | Hierarchy through containment / scope | **Nested** | [type-nested.md](references/type-nested.md) | | Parent → children relationships | **Tree** | [type-tree.md](references/type-tree.md) | | Human/agent/team ownership, reporting, routing, escalation | **Org chart** | [type-org-chart.md](references/type-org-chart.md) | | Stacked abstraction levels | **Layer stack** | [type-layers.md](references/type-layers.md) | | Overlap between sets | **Venn** | [type-venn.md](references/type-venn.md) | | Ranked hierarchy or conversion drop-off | **Pyramid / funnel** | [type-pyramid.md](references/type-pyramid.md) | | Quantitative comparison across categories | **Bar chart** | [type-bar.md](references/type-bar.md) | | Part-of-whole where the relative sizes are the story | **Treemap** | [type-treemap.md](references/type-treemap.md) | | Continuous trends over time, or change between exactly two states (slopegraph) | **Line chart** | [type-line.md](references/type-line.md) | | Tasks and phases on a timeline | **Gantt** | [type-gantt.md](references/type-gantt.md) | | Distribution and correlation between two variables | **Scatter plot** | [type-scatter.md](references/type-scatter.md) | | End-to-end data stack on a container cluster | **High-Level** | [type-high-level.md](references/type-high-level.md) | | Multi-actor sequential process with data handoffs | **Process** | [type-process.md](references/type-process.md) | | Multi-tier data storage with quality levels and access policies | **Medallion** | [type-medallion.md](references/type-medallion.md) | | Role-scoped data flow: who does what at each pipeline step | **Data flow** | [type-data-flow.md](references/type-data-flow.md) | | Integration topology of a data platform — sources → core → consumers | **DP integration** | [type-dp-integration.md](references/type-dp-integration.md) | | Per-role / per-component access permissions matrix | **DP security matrix** | [type-dp-security-matrix.md](references/type-dp-security-matrix.md) | | A quantity splitting and merging across stages, band width = amount | **Sankey** | [type-sankey.md](references/type-sankey.md) | | Causes of one observed effect, grouped by category (root-cause analysis) | **Fishbone** | [type-fishbone.md](references/type-fishbone.md) | | Value chain against evolution — what to build, buy, and what is moving | **Wardley map** | [type-wardley.md](references/type-wardley.md) | | Work-in-progress by state, with WIP limits and blocked items | **Kanban** | [type-kanban.md](references/type-kanban.md) | | What a person does across stages of an experience, and how it feels | **User journey** | [type-journey.md](references/type-journey.md) | | Where software runs — zones, hosts, artifacts, replicas, ports | **Deployment** | [type-deployment.md](references/type-deployment.md) | | What depends on what, with fan-in and cycles a tree cannot express | **Dependency graph** | [type-dependency.md](references/type-dependency.md) | | Classes with operations, inheritance, composition (other UML routes elsewhere) | **UML class** | [type-uml-class.md](references/type-uml-class.md) | | Narrative backbone sliced into releases, with the cut line | **Story map** | [type-story-map.md](references/type-story-map.md) | | Physical tables: SQL types, constraints, indexes, column-level FKs | **Database schema** | [type-db-schema.md](references/type-db-schema.md) |
Rules of thumb:
- If a 3-column table communicates the same thing, pick the table. - If two types seem useful, pick the dominant axis; a semantic pattern may add behavior-specific primitives, not a second layout grammar. - If you're past the complexity budget (§7), split into an overview + detail.
**Always load the chosen type reference linked in the guide before drawing.** When routed above, also load `semantic-patterns.md`; when animation is chosen, load `animation.md`.
### Confirm before drawing
Before rendering, state the plan in one short message: the chosen visual type (and semantic pattern, if routed), the size preset, and anything the complexity budget (§7) will force out. If the user is reachable, let them redirect before you draw; if not, proceed and note the assumptions beside the deliverable. Skip the pause only when the request already pins type, size, and content exactly.
---
## 4. Universal Anti-patterns
These mark "AI slop" schematics of any type:
| Anti-pattern | Why it fails | |---|---| | Dark mode + cyan/purple glow | Looks "technical" without design decisions | | JetBrains Mono as blanket "dev" font | Mono is for *technical* content — ports, commands, URLs. Names go in Geist sans. | | Identical boxes for every node | Erases hierarchy | | Legend floating inside the diagram area | Collides with nodes | | Arrow labels with no masking rect | Bleeds through the line | | Vertical `
Technical details
- Version
- 1.0.0
- License
- MIT
- Last updated
- Aug 20, 2026
- Published
- Aug 20, 2026
Decision snapshot
Primary pick
24,192 GitHub stars
Audit
Install review
Install and adoption review
- Security
- 85/100
- Maintenance
- 100/100
- Install
- 92/100
Agent-proven evidence
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
- Success rate
- —
- Recent failure
- —
- Outcomes
- 0
- Output quality
- —
- Failed
- 0
- Not relevant
- 0
- Installs
- 0
- Risk blocked
- 0
- Setup needed
- 0
- Production
- 0
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Add to agent workflow
Free and open source. Review the report before installing into production agents.
Growth loop
Share kit
Scenario-led draft for diagram-design, ready for a manual X post.
diagram-design: Create branded architecture, IT current-state, flowchart, sequence, state machine, ER/data mo... 24.2K stars https://www.openagentskill.com/skills/cathrynlavery-diagram-design?ref=x
Optional reply with install command
Listing + install path for diagram-design: https://www.openagentskill.com/skills/cathrynlavery-diagram-design?ref=x Install: npx skills add cathrynlavery/diagram-design --skill diagram-design
Listing source
Registry indexed
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
- Creator
- cathrynlavery
- Indexed by
- OpenAgentSkill community index
Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
Claim this skillOwner claim
Claim this skill listing
This Registry indexed listing is attributed to cathrynlavery but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.
Creator backlink kit
Add the evidence badges to your README
Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.
[](https://www.openagentskill.com/skills/cathrynlavery-diagram-design)
[](https://www.openagentskill.com/skills/cathrynlavery-diagram-design)
[](https://www.openagentskill.com/skills/cathrynlavery-diagram-design/audit)
[](https://www.openagentskill.com/skills/cathrynlavery-diagram-design)Author
cathrynlavery
@cathrynlavery
Tags
Platform fit
Health signals
- GitHub stars
- 24.2K
- Quality score
- 54/100
- Last GitHub push
- Aug 20, 2026
- Framework hints
- Unknown
- OpenAgentSkill views
- 12
- Install copies
- 0
- Outbound clicks
- 0
Community signal
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
Trust & safety
Review then install
- GitHub adoption24K GitHub starsPASS
- Stars/forks activity24K stars, 1.5K forks; issue activity unavailable in current metadataPASS
- Recent maintenance2d since pushPASS
- License clarityMITPASS
- README/SKILL.md completenessMetadata includes enough usage and workflow contextPASS
- Dependency/runtime riskexternal package install surface, database surfaceINFO
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