Drawio Ai Kit

STRONG · 85

Community indexed

Teach your AI to draw correct, beautiful draw.io diagrams — declarative layout engine, ground-truth stencils, structural validator, vision self-check. AWS · Azure · GCP · Databricks · BPMN. Zero dependencies.

Verified installs0

Stars620

Version1.0.0

Quality100/100 · Excellent

Trust85/100 · Review then install

Audit93/100 · Safe to try

Supply asset profile

Design and creative production

Design assets, images, video, audio, multimodal media, presentation, and creative production skills.

Browse track

Scenario

Design and creative

I need my agent to produce design assets, UI directions, presentations, or creative media workflows.

Agent fit

Claude Code + CLI + Codex

Codex, Claude Code, Cursor, CLI, or custom agents.

Install

Ready

npx skills add sparklabx/drawio-ai-kit

Maintenance

fresh

4d since push

Risk

Safe to try

No major risk signals from available metadata

GitHub quality

620

100/100 Quality · 88/100 Trust

Coverage tags

DesignDesign and creativedesign-creativedrawiodiagram

Review notes

No major risk signals from available metadata

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

Excellent

100

High-confidence pick with strong adoption and healthy maintenance signals.

Trust

Review then install

Good shortlist signal, but the agent should review audit notes, install policy, and outcome evidence before running it.

Audit

Safe to try

A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.

OpenAgentSkill Trust Score v5

Agent install candidate

Use as the primary candidate after human or sandbox review.

JavaScriptCodexClaude CodeCursorOpenAgentSkill CLI

Stars

620 GitHub stars

Repo activity

620 stars, 108 forks

Maintenance

4d since push

License

MIT

Install

npx skills add sparklabx/drawio-ai-kit

Install safety

standard package or runtime install path

Permission surface

shell or command execution

Agent outcomes

No agent outcome data yet

Docs

Strong README/SKILL.md context

Risk summary

Low metadata risk

No major trust warnings detected from available metadata

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.

Open JSON

Suited tasks

Research agents workflows
Claude Code teams
teams that value GitHub adoption signals
Search sources

Suited agents

JavaScriptCodexClaude CodeCursorOpenAgentSkill CLICLI

Install decision

Command: npx skills add sparklabx/drawio-ai-kit
Policy: review
Human review: yes

Trust and risk

Trust: 85/100
Audit: 93/100
Risk level: Safe to try

Outcome loop

Endpoint: /api/agent/outcome
Event ID: resolve
Outcomes: 5

Install command

npx skills add sparklabx/drawio-ai-kit

Public audit Eval report Resolve API Install handoff

Do not use when

teams that need a vendor-supported SLA
high-compliance environments without internal security review
No major risk signals from current metadata
High-risk permission hints: Shell or command execution
No major trust warnings detected from available metadata

Alternative

Frontend Design

167.3K Stars

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Alternative

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74.7K Stars

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Alternative

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16.5K Stars

npx skills@latest add emilkowalski/skills

Alternative

Material Ui

98.4K Stars

npx skills add mui/material-ui

Agent safety v2

69/100 · Review before install

Reviewed with permission notesreview

Usable candidate, but the agent should surface permission and audit notes before installation.

Require human approval before installing into a real workspace.

Resolve via API

high

Shell or command execution

Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.

medium

Network access

Skill likely fetches remote pages, APIs, repositories, or external services.

High-risk permission hints: Shell or command execution

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.

skill install

OpenAgentSkill CLI

Use the registry command when your workflow supports the OpenAgentSkill installer.

$ npx skills add sparklabx/drawio-ai-kit

Agent 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 text plan

Open JSON

/api/agent/resolve?task=Use%20Drawio%20Ai%20Kit%20for%20an%20agent%20workflow&agent=codex&max_risk=medium

Resolve text

/api/agent/resolve?task=Use%20Drawio%20Ai%20Kit%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text

Install handoff

/api/skills/sparklabx-drawio-ai-kit/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 Drawio Ai Kit in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20Drawio%20Ai%20Kit%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/sparklabx-drawio-ai-kit/install
Install command: npx skills add sparklabx/drawio-ai-kit
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.

Open install API

Install handoff

/api/skills/sparklabx-drawio-ai-kit/install

LLM text format

/api/skills/sparklabx-drawio-ai-kit/install?format=text

Find alternatives

/api/skills/search?q=Drawio%20Ai%20Kit&limit=3

Agent prompt

Use Drawio Ai Kit for this task. Review https://www.openagentskill.com/api/skills/sparklabx-drawio-ai-kit/install, then install with: npx skills add sparklabx/drawio-ai-kit

Registry 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.

Open manifest

Manifest

/api/registry/manifest/sparklabx-drawio-ai-kit

LLM text

/api/registry/manifest/sparklabx-drawio-ai-kit?format=text

Install alias

/api/registry/install/sparklabx-drawio-ai-kit

Recommend

/api/registry/recommend?task=Use%20Drawio%20Ai%20Kit%20in%20an%20agent%20workflow&limit=3

Agent fit

100/100

Research agents

Use-case tags

Research agents Design and creative Security and compliance

Platforms

JavaScript, Claude Code

Audit report

Safe to try · 93/100

A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.

View audit report View eval report

Agent decision cockpit

Primary pick for Research agents

Use this as a leading candidate, then validate the README and install path in your own agent stack.

100

Readiness

Adopt

Stage

Role in stack

Primary pick

Primary fit

Research agents

Trust label

Production-ready

Install path

Command ready

Use when

Research agents workflows
Claude Code teams
teams that value GitHub adoption signals

Evidence

620 GitHub stars
recent repository activity
install command or GitHub repo available
100/100 quality profile
4 OpenAgentSkill engagement events

review first

No major risk signals from current metadata

Implementation path

1Install it in a sandbox agent and run one Research agents 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.

OpenAgentSkill Trust Score

GitHub adoption

INFO

620 GitHub stars

Stars/forks activity

INFO

620 stars, 108 forks; issue activity unavailable in current metadata

Recent maintenance

PASS

4d since push

License clarity

PASS

MIT

Good signals

Manually verified listing
AI review approved
Install path is available
Repository evidence is available
Recently maintained repository
Meaningful GitHub adoption signal
Install command has no obvious high-risk pattern
Outcome loop is ready but needs first real agent run

Review before install

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.

100

GitHub stars

620

Freshness

4d ago

Install ready

Yes

License

MIT

Workflow fit

Use this skill in these scenarios

Investigate faster

Research agents

I need my agent to research a topic, compare sources, and produce a concise report.

Create assets

Design and creative

I need my agent to produce design assets, UI directions, presentations, or creative media workflows.

Reduce risk

Security and compliance

I need my agent to scan a project for security risks and summarize what needs attention.

Workflow fit

Add it to a complete workflow

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.

Operate and verify web apps

Browser QA agent

A workflow for agents that navigate products, fill forms, take screenshots, and verify real user flows across web applications.

Alternative shortlist

Compare before you install

Similar skills that may fit this task.

Compare all

Frontend Design

Guidance for distinctive, intentional UI design, typography, visual direction, and non-template-like product interfaces.

Taste Skill: Anti-Slop Frontend

Design and implementation guidance for distinctive landing pages, portfolios, product demos, and purposeful redesigns.

Animation Vocabulary

Reverse-lookup glossary that turns a vague description of a web animation or motion effect into its exact term ("the bouncy thing when a popover opens" → Pop in; "the iOS rubber-band scroll" → Rubber-banding). Use when the user asks "what's it called when…", or describes a motion effect without knowing its name and wants the right word to prompt an AI or designer with. For naming an effect, not designing or building one.

Material Ui

Material UI: Comprehensive React component library that implements Google's Material Design. Free forever.

Overview

An orchestration and validation framework enabling AI agents to generate **structurally precise and aesthetically standardized** draw.io diagrams, optimized for AWS, Azure & GCP architectures.

It mitigates common AI agent hallucinations (such as generating non-existent stencil IDs that result in empty shapes) using three key components:

1. **Declarative Catalog** — A single source of truth mapping draw.io stencil IDs (`mxgraph.aws4.*`) to their respective taxonomies and canonical color palettes. 2. **Design Principles** — Codified architectural and layout rules (`rules/principles.md`). 3. **Structural Validator** — A static analysis engine that audits diagram XML to guarantee stencil references are valid and design principles are satisfied prior to serialization.

Exposed to the AI via the **zero-dependency `drawio-ai` CLI**.

## Showcase

One diagram per platform — all generated end-to-end by the kit: no hand-placed coordinates, real stencils, validated, vision-checked. Full set in [`examples/`](examples/).

<img src="docs/gallery.png" width="

Platform compatibility

javascriptFULL

Technical details

Version: 1.0.0
License: MIT
Last updated: Aug 6, 2026
Published: Aug 6, 2026

Frameworks & tools

JavaScript

Decision snapshot

Primary pick

100

Ready

Adopt

Stage

620 GitHub stars

Audit

Install review

Install and adoption review

Safe to try

Security: 86/100
Maintenance: 100/100
Install: 92/100

Open full audit View eval report

Agent-proven evidence

Outcome reports after resolve, review, install, and one narrow run.

Proven

Needs first agent runAuto-install: review firstLast: Unknown

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.

Agent-Proven ranking Outcome contract

Install

Add to agent workflow

Free and open source. Review the report before installing into production agents.

Compare Alternatives Auto-resolve Plan View on GitHub Documentation

Growth loop

Share kit

Scenario-led draft for Drawio Ai Kit, ready for a manual X post.

Curator note

A practical pick for design or creative work:

Drawio Ai Kit: A reusable skill kit for AI agents to generate structurally precise and aesthetically standardized draw.io diagrams across...

620 stars

https://www.openagentskill.com/skills/sparklabx-drawio-ai-kit?ref=x

Open X draft

Optional reply with install command

Listing + install path for Drawio Ai Kit:
https://www.openagentskill.com/skills/sparklabx-drawio-ai-kit?ref=x

Install: npx skills add sparklabx/drawio-ai-kit

Open reply draft

Listing source

Community indexed

Claimable

This listing was indexed from public sources and is not marked official until a maintainer claim is approved.

Creator: sparklabx
Source: sparklabx/drawio-ai-kit
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 skill

Owner claim

Claim this skill listing

This Community indexed listing is attributed to sparklabx 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.

[![Listed on OpenAgentSkill](https://www.openagentskill.com/api/badge/sparklabx-drawio-ai-kit?metric=listed&label=Listed)](https://www.openagentskill.com/skills/sparklabx-drawio-ai-kit)
[![OpenAgentSkill Trust](https://www.openagentskill.com/api/badge/sparklabx-drawio-ai-kit?metric=trust&label=Trust)](https://www.openagentskill.com/skills/sparklabx-drawio-ai-kit)
[![OpenAgentSkill Audit](https://www.openagentskill.com/api/badge/sparklabx-drawio-ai-kit?metric=audit&label=Audit)](https://www.openagentskill.com/skills/sparklabx-drawio-ai-kit/audit)
[![Agent Proven](https://www.openagentskill.com/api/badge/sparklabx-drawio-ai-kit?metric=proven&label=Agent%20Proven)](https://www.openagentskill.com/skills/sparklabx-drawio-ai-kit)

Preview badge Open audit Creator kit

Author

sparklabx✓

@sparklabx

Platform fit

Claude Code

Health signals

GitHub stars: 620
Quality score: 63/100
Last GitHub push: Aug 6, 2026
Framework hints: 1
OpenAgentSkill views: 4
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 adoption620 GitHub starsINFO
Stars/forks activity620 stars, 108 forks; issue activity unavailable in current metadataINFO
Recent maintenance4d since pushPASS
License clarityMITPASS
README/SKILL.md completenessMetadata includes enough usage and workflow contextPASS
Dependency/runtime riskcommand execution surfaceINFO

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Task: Use Drawio Ai Kit in this workspace. Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20Drawio%20Ai%20Kit%20for%20an%20agent%20workflow&agent=codex&max_risk=medium Review install handoff: https://www.openagentskill.com/api/skills/sparklabx-drawio-ai-kit/install Install command: npx skills add sparklabx/drawio-ai-kit Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.

Overview

An orchestration and validation framework enabling AI agents to generate **structurally precise and aesthetically standardized** draw.io diagrams, optimized for AWS, Azure & GCP architectures.

It mitigates common AI agent hallucinations (such as generating non-existent stencil IDs that result in empty shapes) using three key components:

Exposed to the AI via the **zero-dependency `drawio-ai` CLI**.

## Showcase

One diagram per platform — all generated end-to-end by the kit: no hand-placed coordinates, real stencils, validated, vision-checked. Full set in [`examples/`](examples/).

<img src="docs/gallery.png" width="

A practical pick for design or creative work: Drawio Ai Kit: A reusable skill kit for AI agents to generate structurally precise and aesthetically standardized draw.io diagrams across... 620 stars https://www.openagentskill.com/skills/sparklabx-drawio-ai-kit?ref=x

[![Listed on OpenAgentSkill](https://www.openagentskill.com/api/badge/sparklabx-drawio-ai-kit?metric=listed&label=Listed)](https://www.openagentskill.com/skills/sparklabx-drawio-ai-kit) [![OpenAgentSkill Trust](https://www.openagentskill.com/api/badge/sparklabx-drawio-ai-kit?metric=trust&label=Trust)](https://www.openagentskill.com/skills/sparklabx-drawio-ai-kit) [![OpenAgentSkill Audit](https://www.openagentskill.com/api/badge/sparklabx-drawio-ai-kit?metric=audit&label=Audit)](https://www.openagentskill.com/skills/sparklabx-drawio-ai-kit/audit) [![Agent Proven](https://www.openagentskill.com/api/badge/sparklabx-drawio-ai-kit?metric=proven&label=Agent%20Proven)](https://www.openagentskill.com/skills/sparklabx-drawio-ai-kit)

Overview

An orchestration and validation framework enabling AI agents to generate **structurally precise and aesthetically standardized** draw.io diagrams, optimized for AWS, Azure & GCP architectures.

It mitigates common AI agent hallucinations (such as generating non-existent stencil IDs that result in empty shapes) using three key components:

Exposed to the AI via the **zero-dependency `drawio-ai` CLI**.

## Showcase

One diagram per platform — all generated end-to-end by the kit: no hand-placed coordinates, real stencils, validated, vision-checked. Full set in [`examples/`](examples/).

<img src="docs/gallery.png" width="

Drawio Ai Kit

STRONG · 85

Community indexed

Verified installs0

Stars620

Version1.0.0

Quality100/100 · Excellent

Trust85/100 · Review then install

Audit93/100 · Safe to try

Supply asset profile

Design and creative production

Design assets, images, video, audio, multimodal media, presentation, and creative production skills.

Browse track

Scenario

Design and creative

I need my agent to produce design assets, UI directions, presentations, or creative media workflows.

Agent fit

Claude Code + CLI + Codex

Codex, Claude Code, Cursor, CLI, or custom agents.

Install

Ready

npx skills add sparklabx/drawio-ai-kit

Maintenance

fresh

4d since push

Risk

Safe to try

No major risk signals from available metadata

GitHub quality

620

100/100 Quality · 88/100 Trust

Coverage tags

DesignDesign and creativedesign-creativedrawiodiagram

Review notes

No major risk signals from available metadata

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

Excellent

100

High-confidence pick with strong adoption and healthy maintenance signals.

Trust

Review then install

Good shortlist signal, but the agent should review audit notes, install policy, and outcome evidence before running it.

Audit

Safe to try

A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.

OpenAgentSkill Trust Score v5

Agent install candidate

Use as the primary candidate after human or sandbox review.

JavaScriptCodexClaude CodeCursorOpenAgentSkill CLI

Stars

620 GitHub stars

Repo activity

620 stars, 108 forks

Maintenance

4d since push

License

MIT

Install

npx skills add sparklabx/drawio-ai-kit

Install safety

standard package or runtime install path

Permission surface

shell or command execution

Agent outcomes

No agent outcome data yet

Docs

Strong README/SKILL.md context

Risk summary

Low metadata risk

No major trust warnings detected from available metadata

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.

Open JSON

Suited tasks

Research agents workflows
Claude Code teams
teams that value GitHub adoption signals
Search sources

Suited agents

JavaScriptCodexClaude CodeCursorOpenAgentSkill CLICLI

Install decision

Command: npx skills add sparklabx/drawio-ai-kit
Policy: review
Human review: yes

Trust and risk

Trust: 85/100
Audit: 93/100
Risk level: Safe to try

Outcome loop

Endpoint: /api/agent/outcome
Event ID: resolve
Outcomes: 5

Install command

npx skills add sparklabx/drawio-ai-kit

Public audit Eval report Resolve API Install handoff

Do not use when

teams that need a vendor-supported SLA
high-compliance environments without internal security review
No major risk signals from current metadata
High-risk permission hints: Shell or command execution
No major trust warnings detected from available metadata

Alternative

Frontend Design

167.3K Stars

npx skills add anthropics/skills --skill frontend-design

Alternative

Taste Skill: Anti-Slop Frontend

74.7K Stars

npx skills add Leonxlnx/taste-skill --skill design-taste-frontend

Alternative

Animation Vocabulary

16.5K Stars

npx skills@latest add emilkowalski/skills

Alternative

Material Ui

98.4K Stars

npx skills add mui/material-ui

Agent safety v2

69/100 · Review before install

Reviewed with permission notesreview

Usable candidate, but the agent should surface permission and audit notes before installation.

Require human approval before installing into a real workspace.

Resolve via API

high

Shell or command execution

Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.

medium

Network access

Skill likely fetches remote pages, APIs, repositories, or external services.

High-risk permission hints: Shell or command execution

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.

skill install

OpenAgentSkill CLI

Use the registry command when your workflow supports the OpenAgentSkill installer.

$ npx skills add sparklabx/drawio-ai-kit

Agent 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 text plan

Open JSON

/api/agent/resolve?task=Use%20Drawio%20Ai%20Kit%20for%20an%20agent%20workflow&agent=codex&max_risk=medium

Resolve text

/api/agent/resolve?task=Use%20Drawio%20Ai%20Kit%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text

Install handoff

/api/skills/sparklabx-drawio-ai-kit/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 Drawio Ai Kit in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20Drawio%20Ai%20Kit%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/sparklabx-drawio-ai-kit/install
Install command: npx skills add sparklabx/drawio-ai-kit
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.

Open install API

Install handoff

/api/skills/sparklabx-drawio-ai-kit/install

LLM text format

/api/skills/sparklabx-drawio-ai-kit/install?format=text

Find alternatives

/api/skills/search?q=Drawio%20Ai%20Kit&limit=3

Agent prompt

Use Drawio Ai Kit for this task. Review https://www.openagentskill.com/api/skills/sparklabx-drawio-ai-kit/install, then install with: npx skills add sparklabx/drawio-ai-kit

Registry 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.

Open manifest

Manifest

/api/registry/manifest/sparklabx-drawio-ai-kit

LLM text

/api/registry/manifest/sparklabx-drawio-ai-kit?format=text

Install alias

/api/registry/install/sparklabx-drawio-ai-kit

Recommend

/api/registry/recommend?task=Use%20Drawio%20Ai%20Kit%20in%20an%20agent%20workflow&limit=3

Agent fit

100/100

Research agents

Use-case tags

Research agents Design and creative Security and compliance

Platforms

JavaScript, Claude Code

Audit report

Safe to try · 93/100

A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.

View audit report View eval report

Agent decision cockpit

Primary pick for Research agents

Use this as a leading candidate, then validate the README and install path in your own agent stack.

100

Readiness

Adopt

Stage

Role in stack

Primary pick

Primary fit

Research agents

Trust label

Production-ready

Install path

Command ready

Use when

Research agents workflows
Claude Code teams
teams that value GitHub adoption signals

Evidence

620 GitHub stars
recent repository activity
install command or GitHub repo available
100/100 quality profile
4 OpenAgentSkill engagement events

review first

No major risk signals from current metadata

Implementation path

1Install it in a sandbox agent and run one Research agents 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.

OpenAgentSkill Trust Score

GitHub adoption

INFO

620 GitHub stars

Stars/forks activity

INFO

620 stars, 108 forks; issue activity unavailable in current metadata

Recent maintenance

PASS

4d since push

License clarity

PASS

MIT

Good signals

Manually verified listing
AI review approved
Install path is available
Repository evidence is available
Recently maintained repository
Meaningful GitHub adoption signal
Install command has no obvious high-risk pattern
Outcome loop is ready but needs first real agent run

Review before install

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.

100

GitHub stars

620

Freshness

4d ago

Install ready

Yes

License

MIT

Workflow fit

Use this skill in these scenarios

Investigate faster

Research agents

I need my agent to research a topic, compare sources, and produce a concise report.

Create assets

Design and creative

I need my agent to produce design assets, UI directions, presentations, or creative media workflows.

Reduce risk

Security and compliance

I need my agent to scan a project for security risks and summarize what needs attention.

Workflow fit

Add it to a complete workflow

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.

Operate and verify web apps

Browser QA agent

A workflow for agents that navigate products, fill forms, take screenshots, and verify real user flows across web applications.

Alternative shortlist

Compare before you install

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Overview

An orchestration and validation framework enabling AI agents to generate **structurally precise and aesthetically standardized** draw.io diagrams, optimized for AWS, Azure & GCP architectures.

It mitigates common AI agent hallucinations (such as generating non-existent stencil IDs that result in empty shapes) using three key components:

Exposed to the AI via the **zero-dependency `drawio-ai` CLI**.

## Showcase

One diagram per platform — all generated end-to-end by the kit: no hand-placed coordinates, real stencils, validated, vision-checked. Full set in [`examples/`](examples/).

<img src="docs/gallery.png" width="

Platform compatibility

javascriptFULL

Technical details

Version: 1.0.0
License: MIT
Last updated: Aug 6, 2026
Published: Aug 6, 2026

Frameworks & tools

JavaScript

Decision snapshot

Primary pick

100

Ready

Adopt

Stage

620 GitHub stars

Audit

Install review

Install and adoption review

Safe to try

Security: 86/100
Maintenance: 100/100
Install: 92/100

Open full audit View eval report

Agent-proven evidence

Outcome reports after resolve, review, install, and one narrow run.

Proven

Needs first agent runAuto-install: review firstLast: Unknown

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.

Agent-Proven ranking Outcome contract

Install

Add to agent workflow

Free and open source. Review the report before installing into production agents.

Compare Alternatives Auto-resolve Plan View on GitHub Documentation

Growth loop

Share kit

Scenario-led draft for Drawio Ai Kit, ready for a manual X post.

Curator note

A practical pick for design or creative work:

Drawio Ai Kit: A reusable skill kit for AI agents to generate structurally precise and aesthetically standardized draw.io diagrams across...

620 stars

https://www.openagentskill.com/skills/sparklabx-drawio-ai-kit?ref=x

Open X draft

Optional reply with install command

Listing + install path for Drawio Ai Kit:
https://www.openagentskill.com/skills/sparklabx-drawio-ai-kit?ref=x

Install: npx skills add sparklabx/drawio-ai-kit

Open reply draft

Listing source

Community indexed

Claimable

This listing was indexed from public sources and is not marked official until a maintainer claim is approved.

Creator: sparklabx
Source: sparklabx/drawio-ai-kit
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 skill

Owner claim

Claim this skill listing

This Community indexed listing is attributed to sparklabx 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.

[![Listed on OpenAgentSkill](https://www.openagentskill.com/api/badge/sparklabx-drawio-ai-kit?metric=listed&label=Listed)](https://www.openagentskill.com/skills/sparklabx-drawio-ai-kit)
[![OpenAgentSkill Trust](https://www.openagentskill.com/api/badge/sparklabx-drawio-ai-kit?metric=trust&label=Trust)](https://www.openagentskill.com/skills/sparklabx-drawio-ai-kit)
[![OpenAgentSkill Audit](https://www.openagentskill.com/api/badge/sparklabx-drawio-ai-kit?metric=audit&label=Audit)](https://www.openagentskill.com/skills/sparklabx-drawio-ai-kit/audit)
[![Agent Proven](https://www.openagentskill.com/api/badge/sparklabx-drawio-ai-kit?metric=proven&label=Agent%20Proven)](https://www.openagentskill.com/skills/sparklabx-drawio-ai-kit)

Preview badge Open audit Creator kit

Author

sparklabx✓

@sparklabx

Platform fit

Claude Code

Health signals

GitHub stars: 620
Quality score: 63/100
Last GitHub push: Aug 6, 2026
Framework hints: 1
OpenAgentSkill views: 4
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 adoption620 GitHub starsINFO
Stars/forks activity620 stars, 108 forks; issue activity unavailable in current metadataINFO
Recent maintenance4d since pushPASS
License clarityMITPASS
README/SKILL.md completenessMetadata includes enough usage and workflow contextPASS
Dependency/runtime riskcommand execution surfaceINFO

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Author

Tags

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Shell or command execution

Network access

Install this skill in your agent workflow

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Give an agent the install path, not another directory page.

Agent-readable profile for automatic skill selection.

Safe to try · 93/100

Primary pick for Research agents

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Use this skill in these scenarios

Research agents

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