Rank
70
AI Agents & MCPs & AI Workflow Automation • (~400 MCP servers for AI agents) • AI Automation / AI Agent with MCPs • AI Workflows & AI Agents • MCPs for AI Agents
Traction
No public download signal
Freshness
Updated 2d ago
Crawler Summary
Generate consistent, template-based Mermaid diagrams for technical content. Supports 12 diagram types (architecture, flowchart, sequence, concept-map, radial-concept, timeline, comparison, comparison-table, gantt, mindmap, class-diagram, state-diagram) with automatic template selection, LLM-powered content generation, syntax validation, and error handling. Use when creating technical illustrations, system architecture visuals, project timelines, class diagrams, state machines, or documentation requiring uniform styling. Triggers on "mermaid diagram", "generate diagram", "create flowchart", "architecture diagram", "sequence diagram", "concept map", "gantt chart", "mind map", "class diagram", "UML diagram", "project timeline", "state diagram", "technical illustration". --- name: skill-mermaid-diagrams description: Generate consistent, template-based Mermaid diagrams for technical content. Supports 12 diagram types (architecture, flowchart, sequence, concept-map, radial-concept, timeline, comparison, comparison-table, gantt, mindmap, class-diagram, state-diagram) with automatic template selection, LLM-powered content generation, syntax validation, and error handling. Use when creati Capability contract not published. No trust telemetry is available yet. Last updated 4/15/2026.
Freshness
Last checked 4/15/2026
Best For
skill-mermaid-diagrams is best for contain, re workflows where OpenClaw compatibility matters.
Not Ideal For
Contract metadata is missing or unavailable for deterministic execution.
Evidence Sources Checked
editorial-content, GITHUB OPENCLEW, runtime-metrics, public facts pack
Generate consistent, template-based Mermaid diagrams for technical content. Supports 12 diagram types (architecture, flowchart, sequence, concept-map, radial-concept, timeline, comparison, comparison-table, gantt, mindmap, class-diagram, state-diagram) with automatic template selection, LLM-powered content generation, syntax validation, and error handling. Use when creating technical illustrations, system architecture visuals, project timelines, class diagrams, state machines, or documentation requiring uniform styling. Triggers on "mermaid diagram", "generate diagram", "create flowchart", "architecture diagram", "sequence diagram", "concept map", "gantt chart", "mind map", "class diagram", "UML diagram", "project timeline", "state diagram", "technical illustration". --- name: skill-mermaid-diagrams description: Generate consistent, template-based Mermaid diagrams for technical content. Supports 12 diagram types (architecture, flowchart, sequence, concept-map, radial-concept, timeline, comparison, comparison-table, gantt, mindmap, class-diagram, state-diagram) with automatic template selection, LLM-powered content generation, syntax validation, and error handling. Use when creati
Public facts
4
Change events
1
Artifacts
0
Freshness
Apr 15, 2026
Capability contract not published. No trust telemetry is available yet. Last updated 4/15/2026.
Trust score
Unknown
Compatibility
OpenClaw
Freshness
Apr 15, 2026
Vendor
Chunhualiao
Artifacts
0
Benchmarks
0
Last release
Unpublished
Key links, install path, and a quick operational read before the deeper crawl record.
Summary
Capability contract not published. No trust telemetry is available yet. Last updated 4/15/2026.
Setup snapshot
git clone https://github.com/chunhualiao/skill-mermaid-diagrams.gitSetup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.
Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.
Everything public we have scraped or crawled about this agent, grouped by evidence type with provenance.
Vendor
Chunhualiao
Protocol compatibility
OpenClaw
Handshake status
UNKNOWN
Crawlable docs
6 indexed pages on the official domain
Merged public release, docs, artifact, benchmark, pricing, and trust refresh events.
Extracted files, examples, snippets, parameters, dependencies, permissions, and artifact metadata.
Extracted files
0
Examples
6
Snippets
0
Languages
typescript
Parameters
text
Generate 3 Mermaid diagrams for /path/to/chapter-01.md and save to diagrams/chapter-01/
bash
# 1. Create content.json (see assets/example-content.json) # 2. Render diagrams node scripts/generate.mjs --content content.json --out diagrams/chapter-01 # 3. Validate node scripts/validate.mjs --dir diagrams/chapter-01
bash
cd $SKILL_DIR # Path to skill-mermaid-diagrams directory ./scripts/install-deps.sh
bash
npm install -g @mermaid-js/mermaid-cli
bash
mmdc --version # Should be >= 11.0.0
text
Task: Generate 3 Mermaid diagrams for chapter 5
Steps:
1. Read $CONTENT_DIR/chapters/chapter-05.md
2. Analyze content and select 3 appropriate diagram templates from: architecture, flowchart, sequence, concept-map, timeline, comparison
3. For each selected template:
- Read template from $SKILL_DIR/assets/
- Extract placeholders ({{PLACEHOLDER_NAME}} format)
- Generate concise labels (max 8 words each) based on chapter content
4. Create content.json with structure:
{
"chapter": "chapter-05.md",
"diagrams": [
{
"template": "architecture",
"placeholders": { "SYSTEM_NAME": "...", ... }
},
...
]
}
5. Save to $CONTENT_DIR/diagrams/chapter-05/content.json
6. Run: node $SKILL_DIR/scripts/generate.mjs --content content.json --out $CONTENT_DIR/diagrams/chapter-05
7. Validate: node $SKILL_DIR/scripts/validate.mjs --dir $CONTENT_DIR/diagrams/chapter-05
8. Report success with file count
Note: Replace $SKILL_DIR and $CONTENT_DIR with actual paths:
- SKILL_DIR: Path to skill-mermaid-diagrams directory
- CONTENT_DIR: Path to your content/project directoryFull documentation captured from public sources, including the complete README when available.
Docs source
GITHUB OPENCLEW
Editorial quality
ready
Generate consistent, template-based Mermaid diagrams for technical content. Supports 12 diagram types (architecture, flowchart, sequence, concept-map, radial-concept, timeline, comparison, comparison-table, gantt, mindmap, class-diagram, state-diagram) with automatic template selection, LLM-powered content generation, syntax validation, and error handling. Use when creating technical illustrations, system architecture visuals, project timelines, class diagrams, state machines, or documentation requiring uniform styling. Triggers on "mermaid diagram", "generate diagram", "create flowchart", "architecture diagram", "sequence diagram", "concept map", "gantt chart", "mind map", "class diagram", "UML diagram", "project timeline", "state diagram", "technical illustration". --- name: skill-mermaid-diagrams description: Generate consistent, template-based Mermaid diagrams for technical content. Supports 12 diagram types (architecture, flowchart, sequence, concept-map, radial-concept, timeline, comparison, comparison-table, gantt, mindmap, class-diagram, state-diagram) with automatic template selection, LLM-powered content generation, syntax validation, and error handling. Use when creati
Generate professional, consistently-styled Mermaid diagrams for technical content with automatic template selection, content generation, and quality validation.
Subagent Pattern (Recommended):
When user requests diagram generation, spawn a subagent:
Generate 3 Mermaid diagrams for /path/to/chapter-01.md and save to diagrams/chapter-01/
The subagent will:
Manual Pattern:
# 1. Create content.json (see assets/example-content.json)
# 2. Render diagrams
node scripts/generate.mjs --content content.json --out diagrams/chapter-01
# 3. Validate
node scripts/validate.mjs --dir diagrams/chapter-01
Run the installation script to automatically install and verify mermaid-cli:
cd $SKILL_DIR # Path to skill-mermaid-diagrams directory
./scripts/install-deps.sh
The script will:
Alternatively, install Mermaid CLI globally:
npm install -g @mermaid-js/mermaid-cli
Verify installation:
mmdc --version # Should be >= 11.0.0
When a user requests diagram generation, spawn a subagent to handle the complete workflow:
Task: Generate 3 Mermaid diagrams for chapter 5
Steps:
1. Read $CONTENT_DIR/chapters/chapter-05.md
2. Analyze content and select 3 appropriate diagram templates from: architecture, flowchart, sequence, concept-map, timeline, comparison
3. For each selected template:
- Read template from $SKILL_DIR/assets/
- Extract placeholders ({{PLACEHOLDER_NAME}} format)
- Generate concise labels (max 8 words each) based on chapter content
4. Create content.json with structure:
{
"chapter": "chapter-05.md",
"diagrams": [
{
"template": "architecture",
"placeholders": { "SYSTEM_NAME": "...", ... }
},
...
]
}
5. Save to $CONTENT_DIR/diagrams/chapter-05/content.json
6. Run: node $SKILL_DIR/scripts/generate.mjs --content content.json --out $CONTENT_DIR/diagrams/chapter-05
7. Validate: node $SKILL_DIR/scripts/validate.mjs --dir $CONTENT_DIR/diagrams/chapter-05
8. Report success with file count
Note: Replace $SKILL_DIR and $CONTENT_DIR with actual paths:
- SKILL_DIR: Path to skill-mermaid-diagrams directory
- CONTENT_DIR: Path to your content/project directory
If generating content.json manually:
# 1. Create content.json (see assets/example-content.json)
# 2. Render
cd $SKILL_DIR # Path to skill-mermaid-diagrams directory
node scripts/generate.mjs \
--content /path/to/content.json \
--out /path/to/output
# 3. Validate
node scripts/validate.mjs --dir /path/to/output
Parameters:
--content / -c: Content JSON file (required)--out / -o: Output directory (default: ./diagrams)for dir in diagrams/chapter-*/; do
node scripts/validate.mjs --dir "$dir"
done
The skill includes 12 professionally-themed templates with consistent color schemes:
architecture.mmd - System architecture, component diagrams, tool integration
flowchart.mmd - Decision flows, processes, workflows, debugging steps
sequence.mmd - Actor interactions, message passing, session patterns
concept-map.mmd - Key concepts, mental models, paradigms, relationships
radial-concept.mmd - Layered concepts radiating from center - Use for: Progressive summarization, abstraction layers, hierarchical models
timeline.mmd - Temporal progression, optimization stages, evolution
comparison.mmd - Trade-offs, quadrant analysis (2D plotting)
comparison-table.mmd - Side-by-side feature comparison
gantt.mmd - Project timelines, task scheduling - Use for: Project planning, milestone tracking, task dependencies
mindmap.mmd - Organic radial mind maps - Use for: Brainstorming, organic thought structures, free-form concept mapping
class-diagram.mmd - UML class diagrams
state-diagram.mmd - State machines, lifecycle diagrams
Each template requires specific placeholders. All placeholders must be provided to avoid rendering errors.
| Template | Placeholders | Complexity | Required Fields | |----------|--------------|------------|-----------------| | architecture | 10 | Medium | SYSTEM_NAME, COMPONENT_1-3_LABEL, EXTERNAL_1-2_LABEL, FLOW_1-4 | | flowchart | 11 | Medium | START_LABEL, DECISION_1-2, ACTION_1-4, CHOICE_1-2_YES/NO, END_LABEL | | sequence | 8 | Medium | ACTOR_1-3, MESSAGE_1-5 | | concept-map | 15 | High | CENTRAL_CONCEPT, BRANCH_1-4, BRANCH_X_SUB_1-3 | | radial-concept | 13 | Medium | CENTRAL_CONCEPT, LEVEL_1-4_LABEL, LEVEL_X_NODE_1-3 | | timeline | 6 | Low | EVENT_1-6, DATE_1-6 | | comparison | 18 | High | COMPARISON_TITLE, X/Y_AXIS_LOW/HIGH, QUADRANT_1-4_LABEL, ITEM_1-5 + X/Y coords | | comparison-table | 10 | Low | OPTION_1-2_TITLE, OPTION_X_CRITERION_1-4 | | gantt | 14 | High | CHART_TITLE, SECTION_1-3_TITLE, TASK_X_Y (name/id/start/duration) | | mindmap | 13 | Medium | ROOT_CONCEPT, BRANCH_1-4, BRANCH_X_CHILD_1-3 | | class-diagram | 21 | High | CLASS_1-3_NAME, CLASS_X_ATTR_1-3, CLASS_X_METHOD_1-3, REL_1-3_TYPE/LABEL | | state-diagram | 18 | Medium | STATE_1-8, TRANSITION_1-7_LABEL, STATE_1/4/7_NOTE |
Important Notes:
done, active, crit, or blank. Date format: YYYY-MM-DD. Duration: Nd (days) or YYYY-MM-DD.<|-- (inheritance), *-- (composition), o-- (aggregation), --> (association), ..> (dependency).stateDiagram-v2 syntax. States are simple identifiers (no spaces). Notes attach to states 1, 4, and 7.Placeholder Naming Convention:
COMPONENT_1_LABEL, COMPONENT_2_LABELBRANCH_1, BRANCH_1_SUB_1, BRANCH_1_SUB_2LEVEL_1_LABEL, LEVEL_1_NODE_1Breaking Changes:
architecture.mmd - Fixed node ID handling (space-safe)
concept-map.mmd - Replaced mindmap with graph-based version
All changes target root causes (template design flaws, missing validation) rather than surface symptoms.
#4A90E2 - Main components, actions#7B68EE - Supporting elements#90EE90 - External actors, success states#FFD700 - Decisions, cautions#FF6B6B - Failures, critical pathsAfter generation, each chapter directory contains:
diagrams/chapter-01/
├── diagram-01-architecture.mmd # Mermaid source
├── diagram-01-architecture.svg # Vector output
├── diagram-01-architecture.png # Raster output (1200px wide)
├── diagram-02-flowchart.mmd
├── diagram-02-flowchart.svg
├── diagram-02-flowchart.png
├── diagram-03-concept-map.mmd
├── diagram-03-concept-map.svg
├── diagram-03-concept-map.png
└── summary.json # Generation metadata
The generator includes robust error handling:
The validator checks each diagram for:
Validation workflow:
# Generate diagrams
node scripts/generate.mjs --content content.json --out diagrams/chapter-01
# Validate output
node scripts/validate.mjs --dir diagrams/chapter-01
# Fix any failures and re-run
Per Chapter (3 diagrams):
At scale (e.g. 14 chapters × 3 diagrams = 42 diagrams):
Comparison to AI image generation (42 images):
Edit theme variables in any template file (assets/*.mmd):
%%{init: {'theme':'base', 'themeVariables': {
'primaryColor':'#NEW_COLOR',
'secondaryColor':'#NEW_COLOR',
...
}}}%%
assets/new-template.mmd with theme and placeholdersTEMPLATES object in scripts/generate.mjs:const TEMPLATES = {
...
"new-template": "Description of when to use this template",
};
node scripts/generate.mjs --content test-content.json --out test-output
"mmdc not found"
npm install -g @mermaid-js/mermaid-cliwhich mmdc"Template not found"
"Rendering failed"
mmdc -i diagram.mmd -o test.svgnode scripts/validate.mjs --dir output_dirUnresolved placeholders in output ({{PLACEHOLDER}})
Subagent failed
%%{init: {'theme':'base', ...}}%%
graph TB
subgraph "Agent System"
Gateway[Gateway Process]
Session[Session Manager]
Tools[Tool Registry]
end
User((User))
Provider((LLM Provider))
User -->|Request| Gateway
Gateway -->|Route| Session
Session -->|Select Tool| Tools
Tools -->|Execute| Provider
Output: Clean, consistent, professional diagram with uniform styling across all chapters.
--max value for all chapters (e.g., 3)mmdc./scripts/install-deps.sh
Verifies that mermaid-cli is installed and meets version requirements.
assets/example-content.json (already included)node scripts/generate.mjs --content assets/example-content.json --out test-outputnode scripts/validate.mjs --dir test-outputreferences/mermaid-syntax.md - Quick reference for diagram syntax, theming, and common patternsassets/example-content.json - Real-world content structure exampleMachine endpoints, protocol fit, contract coverage, invocation examples, and guardrails for agent-to-agent use.
Contract coverage
Status
missing
Auth
None
Streaming
No
Data region
Unspecified
Protocol support
Requires: none
Forbidden: none
Guardrails
Operational confidence: low
curl -s "https://xpersona.co/api/v1/agents/chunhualiao-skill-mermaid-diagrams/snapshot"
curl -s "https://xpersona.co/api/v1/agents/chunhualiao-skill-mermaid-diagrams/contract"
curl -s "https://xpersona.co/api/v1/agents/chunhualiao-skill-mermaid-diagrams/trust"
Trust and runtime signals, benchmark suites, failure patterns, and practical risk constraints.
Trust signals
Handshake
UNKNOWN
Confidence
unknown
Attempts 30d
unknown
Fallback rate
unknown
Runtime metrics
Observed P50
unknown
Observed P95
unknown
Rate limit
unknown
Estimated cost
unknown
Do not use if
Every public screenshot, visual asset, demo link, and owner-provided destination tied to this agent.
Neighboring agents from the same protocol and source ecosystem for comparison and shortlist building.
Rank
70
AI Agents & MCPs & AI Workflow Automation • (~400 MCP servers for AI agents) • AI Automation / AI Agent with MCPs • AI Workflows & AI Agents • MCPs for AI Agents
Traction
No public download signal
Freshness
Updated 2d ago
Rank
70
AI productivity studio with smart chat, autonomous agents, and 300+ assistants. Unified access to frontier LLMs
Traction
No public download signal
Freshness
Updated 6d ago
Rank
70
Free, local, open-source 24/7 Cowork app and OpenClaw for Gemini CLI, Claude Code, Codex, OpenCode, Qwen Code, Goose CLI, Auggie, and more | 🌟 Star if you like it!
Traction
No public download signal
Freshness
Updated 6d ago
Rank
70
The Frontend for Agents & Generative UI. React + Angular
Traction
No public download signal
Freshness
Updated 23d ago
Contract JSON
{
"contractStatus": "missing",
"authModes": [],
"requires": [],
"forbidden": [],
"supportsMcp": false,
"supportsA2a": false,
"supportsStreaming": false,
"inputSchemaRef": null,
"outputSchemaRef": null,
"dataRegion": null,
"contractUpdatedAt": null,
"sourceUpdatedAt": null,
"freshnessSeconds": null
}Invocation Guide
{
"preferredApi": {
"snapshotUrl": "https://xpersona.co/api/v1/agents/chunhualiao-skill-mermaid-diagrams/snapshot",
"contractUrl": "https://xpersona.co/api/v1/agents/chunhualiao-skill-mermaid-diagrams/contract",
"trustUrl": "https://xpersona.co/api/v1/agents/chunhualiao-skill-mermaid-diagrams/trust"
},
"curlExamples": [
"curl -s \"https://xpersona.co/api/v1/agents/chunhualiao-skill-mermaid-diagrams/snapshot\"",
"curl -s \"https://xpersona.co/api/v1/agents/chunhualiao-skill-mermaid-diagrams/contract\"",
"curl -s \"https://xpersona.co/api/v1/agents/chunhualiao-skill-mermaid-diagrams/trust\""
],
"jsonRequestTemplate": {
"query": "summarize this repo",
"constraints": {
"maxLatencyMs": 2000,
"protocolPreference": [
"OPENCLEW"
]
}
},
"jsonResponseTemplate": {
"ok": true,
"result": {
"summary": "...",
"confidence": 0.9
},
"meta": {
"source": "GITHUB_OPENCLEW",
"generatedAt": "2026-04-17T06:14:26.087Z"
}
},
"retryPolicy": {
"maxAttempts": 3,
"backoffMs": [
500,
1500,
3500
],
"retryableConditions": [
"HTTP_429",
"HTTP_503",
"NETWORK_TIMEOUT"
]
}
}Trust JSON
{
"status": "unavailable",
"handshakeStatus": "UNKNOWN",
"verificationFreshnessHours": null,
"reputationScore": null,
"p95LatencyMs": null,
"successRate30d": null,
"fallbackRate": null,
"attempts30d": null,
"trustUpdatedAt": null,
"trustConfidence": "unknown",
"sourceUpdatedAt": null,
"freshnessSeconds": null
}Capability Matrix
{
"rows": [
{
"key": "OPENCLEW",
"type": "protocol",
"support": "unknown",
"confidenceSource": "profile",
"notes": "Listed on profile"
},
{
"key": "contain",
"type": "capability",
"support": "supported",
"confidenceSource": "profile",
"notes": "Declared in agent profile metadata"
},
{
"key": "re",
"type": "capability",
"support": "supported",
"confidenceSource": "profile",
"notes": "Declared in agent profile metadata"
}
],
"flattenedTokens": "protocol:OPENCLEW|unknown|profile capability:contain|supported|profile capability:re|supported|profile"
}Facts JSON
[
{
"factKey": "docs_crawl",
"category": "integration",
"label": "Crawlable docs",
"value": "6 indexed pages on the official domain",
"href": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
"sourceUrl": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
"sourceType": "search_document",
"confidence": "medium",
"observedAt": "2026-04-15T05:03:46.393Z",
"isPublic": true
},
{
"factKey": "vendor",
"category": "vendor",
"label": "Vendor",
"value": "Chunhualiao",
"href": "https://github.com/chunhualiao/skill-mermaid-diagrams",
"sourceUrl": "https://github.com/chunhualiao/skill-mermaid-diagrams",
"sourceType": "profile",
"confidence": "medium",
"observedAt": "2026-04-15T01:15:44.071Z",
"isPublic": true
},
{
"factKey": "protocols",
"category": "compatibility",
"label": "Protocol compatibility",
"value": "OpenClaw",
"href": "https://xpersona.co/api/v1/agents/chunhualiao-skill-mermaid-diagrams/contract",
"sourceUrl": "https://xpersona.co/api/v1/agents/chunhualiao-skill-mermaid-diagrams/contract",
"sourceType": "contract",
"confidence": "medium",
"observedAt": "2026-04-15T01:15:44.071Z",
"isPublic": true
},
{
"factKey": "handshake_status",
"category": "security",
"label": "Handshake status",
"value": "UNKNOWN",
"href": "https://xpersona.co/api/v1/agents/chunhualiao-skill-mermaid-diagrams/trust",
"sourceUrl": "https://xpersona.co/api/v1/agents/chunhualiao-skill-mermaid-diagrams/trust",
"sourceType": "trust",
"confidence": "medium",
"observedAt": null,
"isPublic": true
}
]Change Events JSON
[
{
"eventType": "docs_update",
"title": "Docs refreshed: Sign in to GitHub · GitHub",
"description": "Fresh crawlable documentation was indexed for the official domain.",
"href": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
"sourceUrl": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
"sourceType": "search_document",
"confidence": "medium",
"observedAt": "2026-04-15T05:03:46.393Z",
"isPublic": true
}
]Sponsored
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