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architecture-md-builder

Build comprehensive ARCHITECTURE.md files following matklad's canonical guidelines — bird's-eye views, ASCII/Mermaid diagrams, codemaps, invariants, and layer boundaries. Triggers on document the architecture, create ARCHITECTURE.md, map this codebase, architectural overview.

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Preis unbestätigt★ 41 GitHub-StarsVerzeichnis aktualisiert · 10. Sept. 2026agent-skill

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Architecture.md Builder

Create production-quality ARCHITECTURE.md files that serve as definitive maps of any codebase, following matklad's canonical guidelines with modern AI-agent documentation patterns.

When to Use This Skill

Creating architecture documentation for a new or existing repository
Auditing a codebase to understand its structure
Onboarding documentation for developers and AI agents
User asks to "document the architecture", "create architecture.md", or "map this codebase"

Core Principles (matklad's Guidelines)

The canonical ARCHITECTURE.md follows these principles:

Bird's eye overview - Problem being solved, high-level approach
Coarse-grained codemap - Modules and relationships (country-level, not state-level)
Named entities - Important files, types, modules by name (no links, use symbol search)
Architectural invariants - Constraints, what is NOT done, absence patterns
Layer boundaries - Transitions between systems
Cross-cutting concerns - Issues spanning multiple modules

See references/matklad-guidelines.md for detailed explanations.

Workflow

Phase 1: Research Best Practices (Optional)

If unfamiliar with architecture documentation patterns, use Exa search:

# Search for exceptional architecture.md examples
python3 ~/.claude/skills/exa-search/scripts/exa_search.py \
  "architecture.md documentation best practices" \
  --category github -n 10

# Find matklad's original guidelines
python3 ~/.claude/skills/exa-search/scripts/exa_research.py \
  "matklad ARCHITECTURE.md guidelines rust-analyzer"

Phase 2: Codebase Exploration

Launch 2-4 parallel exploration agents to map the codebase thoroughly:

Use the Task tool with subagent_type=Explore for each major system area:

1. Core/Engine - Entry points, main abstractions, data structures
2. Transport/API - HTTP, WebSocket, message handling
3. Database/Persistence - Schema, migrations, queries
4. Frontend/UI - Components, state management, routing

Agent prompts should ask:

What are the key abstractions and types?
How does data flow through this system?
What are the main files and their line counts?
What patterns are used consistently?
What invariants does the code enforce?

Target output: ~10-15k words of analysis per agent covering the full system.

Phase 3: Draft ARCHITECTURE.md

Create the document following this structure:

# Architecture

Brief intro: what this document is for, who it's for.

## Bird's Eye View

- What problem does this solve?
- What is the core paradigm/approach?
- Key design principles (3-5 bullets)

[ASCII diagram showing major components]

## High-Level Data Flow

[Mermaid flowchart showing data flow]

## Codemap

### System 1 (`path/`)
Description, key files with line counts, key abstractions table.

### System 2 (`path/`)
...

## Architectural Invariants

Rules that are ALWAYS true. Code patterns that are NEVER violated.

## Cross-Cutting Concerns

Issues that span multiple modules (auth, logging, error handling).

## Layer Boundaries

Diagram showing layers and their interfaces.

## Key Files Reference

| File | Lines | Purpose |
|------|-------|---------|
| ... | ... | ... |

## Common Questions

FAQ format: "Where do I find X?" → Answer

See references/document-structure.md for detailed section guidance. See assets/architecture-template.md for a starting template.

Phase 4: Verification

Launch 2-3 review agents to verify accuracy:

Use the Task tool with subagent_type=Explore to verify:

1. General accuracy - Do descriptions match actual code?
2. Line counts - Are they roughly accurate?
3. File references - Do all referenced files exist?

Verification checklist:

All referenced files exist
Line count estimates within 20% of actual
ASCII/Mermaid diagrams render correctly
Document answers "where's the thing that does X?"
No stale information from previous versions

Phase 5: Apply Corrections

Update the document based on review findings:

Correct line counts
Add missing files to structures
Fix any inaccurate descriptions
Update counts (e.g., "11 modules" → "13 modules")

Quality Guidelines

Diagrams

ASCII diagrams for component relationships:

┌─────────────┐     ┌─────────────┐
│  Frontend   │────▶│   Backend   │
└─────────────┘     └─────────────┘

Mermaid diagrams for data flows:

flowchart TB
    A[Input] --> B[Process]
    B --> C[Output]

Line Counts

Include approximate line counts for key files:

Helps readers gauge complexity
Use wc -l to verify
Round to nearest 10 or 50

Named Entities

Reference files, types, and modules by name without links:

Good: "See WorkingMemory.ts for the immutable memory implementation"
Bad: "See WorkingMemory"

Why: Symbol search (Cmd+T, osgrep) is more reliable than links that rot.

Invariants

Document what the code NEVER does:

"WorkingMemory never mutates in place"
"API keys never reach the browser"
"All database queries use prepared statements"

Target Length

Small projects: 200-400 lines
Medium projects: 400-700 lines
Large projects: 700-1000 lines
Maximum: ~1200 lines (split into linked docs if larger)

Output

Single file: ARCHITECTURE.md in project root

Optionally update CLAUDE.md or README.md with a reference to the new architecture document.

Example Usage

User: "Create an architecture.md for this repo"

1. Launch 3 exploration agents targeting core, transport, and frontend
2. Synthesize findings into ARCHITECTURE.md following the template
3. Launch 2 review agents to verify accuracy
4. Apply corrections
5. Commit and optionally update CLAUDE.md

Resources

references/matklad-guidelines.md - Canonical guidelines with rationale
references/document-structure.md - Detailed section guidance
assets/architecture-template.md - Starting template

Quelle ansehen ↗

Dateimetadaten

name: architecture-md-builder
description: "Build comprehensive ARCHITECTURE.md files following matklad's canonical guidelines — bird's-eye views, ASCII/Mermaid diagrams, codemaps, invariants, and layer boundaries. Triggers on document the architecture, create ARCHITECTURE.md, map this codebase, architectural overview."

Originaltext anzeigen

---
name: architecture-md-builder
description: "Build comprehensive ARCHITECTURE.md files following matklad's canonical guidelines — bird's-eye views, ASCII/Mermaid diagrams, codemaps, invariants, and layer boundaries. Triggers on document the architecture, create ARCHITECTURE.md, map this codebase, architectural overview."
---

# Architecture.md Builder

Create production-quality ARCHITECTURE.md files that serve as definitive maps of any codebase, following matklad's canonical guidelines with modern AI-agent documentation patterns.

## When to Use This Skill

- Creating architecture documentation for a new or existing repository
- Auditing a codebase to understand its structure
- Onboarding documentation for developers and AI agents
- User asks to "document the architecture", "create architecture.md", or "map this codebase"

## Core Principles (matklad's Guidelines)

The canonical ARCHITECTURE.md follows these principles:

1. **Bird's eye overview** - Problem being solved, high-level approach
2. **Coarse-grained codemap** - Modules and relationships (country-level, not state-level)
3. **Named entities** - Important files, types, modules by name (no links, use symbol search)
4. **Architectural invariants** - Constraints, what is NOT done, absence patterns
5. **Layer boundaries** - Transitions between systems
6. **Cross-cutting concerns** - Issues spanning multiple modules

See `references/matklad-guidelines.md` for detailed explanations.

## Workflow

### Phase 1: Research Best Practices (Optional)

If unfamiliar with architecture documentation patterns, use Exa search:

```bash
# Search for exceptional architecture.md examples
python3 ~/.claude/skills/exa-search/scripts/exa_search.py \
"architecture.md documentation best practices" \
--category github -n 10

# Find matklad's original guidelines
python3 ~/.claude/skills/exa-search/scripts/exa_research.py \
"matklad ARCHITECTURE.md guidelines rust-analyzer"
```

### Phase 2: Codebase Exploration

Launch 2-4 parallel exploration agents to map the codebase thoroughly:

```
Use the Task tool with subagent_type=Explore for each major system area:

1. Core/Engine - Entry points, main abstractions, data structures
2. Transport/API - HTTP, WebSocket, message handling
3. Database/Persistence - Schema, migrations, queries
4. Frontend/UI - Components, state management, routing
```

**Agent prompts should ask:**
- What are the key abstractions and types?
- How does data flow through this system?
- What are the main files and their line counts?
- What patterns are used consistently?
- What invariants does the code enforce?

**Target output:** ~10-15k words of analysis per agent covering the full system.

### Phase 3: Draft ARCHITECTURE.md

Create the document following this structure:

```markdown
# Architecture

Brief intro: what this document is for, who it's for.

## Bird's Eye View

- What problem does this solve?
- What is the core paradigm/approach?
- Key design principles (3-5 bullets)

[ASCII diagram showing major components]

## High-Level Data Flow

[Mermaid flowchart showing data flow]

## Codemap

### System 1 (`path/`)
Description, key files with line counts, key abstractions table.

### System 2 (`path/`)
...

## Architectural Invariants

Rules that are ALWAYS true. Code patterns that are NEVER violated.

## Cross-Cutting Concerns

Issues that span multiple modules (auth, logging, error handling).

## Layer Boundaries

Diagram showing layers and their interfaces.

## Key Files Reference

| File | Lines | Purpose |
|------|-------|---------|
| ... | ... | ... |

## Common Questions

FAQ format: "Where do I find X?" → Answer
```

See `references/document-structure.md` for detailed section guidance.
See `assets/architecture-template.md` for a starting template.

### Phase 4: Verification

Launch 2-3 review agents to verify accuracy:

```
Use the Task tool with subagent_type=Explore to verify:

1. General accuracy - Do descriptions match actual code?
2. Line counts - Are they roughly accurate?
3. File references - Do all referenced files exist?
```

**Verification checklist:**
- [ ] All referenced files exist
- [ ] Line count estimates within 20% of actual
- [ ] ASCII/Mermaid diagrams render correctly
- [ ] Document answers "where's the thing that does X?"
- [ ] No stale information from previous versions

### Phase 5: Apply Corrections

Update the document based on review findings:
- Correct line counts
- Add missing files to structures
- Fix any inaccurate descriptions
- Update counts (e.g., "11 modules" → "13 modules")

## Quality Guidelines

### Diagrams

**ASCII diagrams** for component relationships:
```
┌─────────────┐ ┌─────────────┐
│ Frontend │────▶│ Backend │
└─────────────┘ └─────────────┘
```

**Mermaid diagrams** for data flows:
```mermaid
flowchart TB
A[Input] --> B[Process]
B --> C[Output]
```

### Line Counts

Include approximate line counts for key files:
- Helps readers gauge complexity
- Use `wc -l` to verify
- Round to nearest 10 or 50

### Named Entities

Reference files, types, and modules by name without links:
- Good: "See `WorkingMemory.ts` for the immutable memory implementation"
- Bad: "See [WorkingMemory](./src/lib/core/WorkingMemory.ts)"

Why: Symbol search (Cmd+T, osgrep) is more reliable than links that rot.

### Invariants

Document what the code NEVER does:
- "WorkingMemory never mutates in place"
- "API keys never reach the browser"
- "All database queries use prepared statements"

### Target Length

- Small projects: 200-400 lines
- Medium projects: 400-700 lines
- Large projects: 700-1000 lines
- Maximum: ~1200 lines (split into linked docs if larger)

## Output

Single file: `ARCHITECTURE.md` in project root

Optionally update `CLAUDE.md` or `README.md` with a reference to the new architecture document.

## Example Usage

```
User: "Create an architecture.md for this repo"

1. Launch 3 exploration agents targeting core, transport, and frontend
2. Synthesize findings into ARCHITECTURE.md following the template
3. Launch 2 review agents to verify accuracy
4. Apply corrections
5. Commit and optionally update CLAUDE.md
```

## Resources

- `references/matklad-guidelines.md` - Canonical guidelines with rationale
- `references/document-structure.md` - Detailed section guidance
- `assets/architecture-template.md` - Starting template

Quelle prüfen

Preis und Betriebskosten

Skill beziehen: Preis unbestätigt
Ausführen: Anforderungen unbestätigt. Agenten-, API- und Dienstkosten an der Quelle prüfen.
Lizenz: MIT
Preis unbestätigt: Der Preis ist noch nicht bestätigt. Vorhandene Quell- und Installationslinks bleiben verfügbar.

Kostenloser Bezug bedeutet nicht kostenlosen Betrieb. Preise sind keine Sicherheitsbewertung. Preisinformation einreichen →

Skill-Quelle erfasst

Ein Anleitungspfad ist erfasst. Das ist kein Ausführungstest und keine Sicherheits- oder Kompatibilitätsgarantie.

Vor Installation prüfen: Automatische Installation vermeiden

Lizenz: MIT

Dependency or permission surface needs review
Permission surface may require sandboxing
Low GitHub adoption signal
KI-Prüffreigabe fehlt
Quality score needs review
Permission surface needs review: secrets or environment access, shell or command execution
GitHub adoption: 41 GitHub stars
Stars/forks activity: 41 stars, 4 forks; issue activity unavailable in current metadata
Dependency/runtime risk: command execution surface, credential or environment access
Permission surface: secrets or environment access, shell or command execution
Review status: AI review approval is missing

Vollständiges Audit öffnen

Tools sind Metadatenhinweise, keine getestete Kompatibilität. Prompts sind Vorschläge.

Mit einer kleinen Aufgabe beginnen

1Quelle lesen und Eingaben, Ergebnisse, Abhängigkeiten sowie Berechtigungen prüfen.
2Agent um einen Plan bitten. Einrichtung und Kosten vor einem isolierten Test genehmigen.
3Ergebnisse und geänderte Dateien prüfen. Nur tatsächliche Ausführungen melden und die Quellrevision aufbewahren.

Prüfe Abhängigkeiten, API-Schlüssel und externe Kosten in der Quelle. Öffentliche Repositories bedeuten nicht, dass alle Dienste kostenlos sind.

Quelle und Nutzungshinweise

ErfasstStatisch geprüft

Metadaten und Prüfungen dienen der Orientierung. Beliebtheit, Quellenerfassung und erfolgreiche Ausführung sind verschiedene Fakten.

Quell-Repository: tdimino/claude-code-minoan
Lizenz: MIT
Version: Unknown
Letzter GitHub-Push: 7. Sept. 2026
Verzeichnis aktualisiert: 10. Sept. 2026
Anleitungspfad: skills/core-development/architecture-md-builder/SKILL.md @ 31e41484d8be

Version aus den Verzeichnismetadaten; Releases der Quelle prüfen.

Qualität

55/100

Vielversprechend

Vertrauen

58/100

Do not auto-install

Audit

69/100

Prüfung nötig

Vollständiges Audit öffnen Eval-Bericht ansehen

Dependency or permission surface needs review
Permission surface may require sandboxing
Low GitHub adoption signal
KI-Prüffreigabe fehlt
Quality score needs review
Permission surface needs review: secrets or environment access, shell or command execution
GitHub adoption: 41 GitHub stars
Stars/forks activity: 41 stars, 4 forks; issue activity unavailable in current metadata
Dependency/runtime risk: command execution surface, credential or environment access
Permission surface: secrets or environment access, shell or command execution
Review status: AI review approval is missing

Verified installs: —
Ergebnisse: —

Kopieren ist keine Installation. Zahlen benötigen eine Erfolgsmeldung und garantieren keine allgemeine Qualität.

Agent-Zugang

Die Registry API stellt Entscheidungs-, Vertrauens-, Audit-, Use-Case- und Installationssignale ohne UI-Scraping bereit.

Installations-API öffnen LLM-Textformat Manifest öffnen Auto-Auflösungsplan

Weitere Details

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    "risk_level": "needs_review",
    "risk_label": "Needs review",
    "warnings": [
      "Dependency or permission surface needs review",
      "Permission surface may require sandboxing",
      "Low GitHub adoption signal",
      "AI review approval is missing",
      "Quality score needs review",
      "Permission surface needs review: secrets or environment access, shell or command execution",
      "GitHub adoption: 41 GitHub stars",
      "Stars/forks activity: 41 stars, 4 forks; issue activity unavailable in current metadata"
    ]
  },
  "safety_gate": {
    "tier": "blocked",
    "label": "Blocked for auto-install",
    "auto_install_policy": "block",
    "auto_install_allowed": false,
    "human_review_required": true,
    "blocked": true,
    "recommended_action": "Do not auto-install. Inspect the source, dependencies, and permission surface first."
  },
  "quality": {
    "score": 55,
    "label": "Promising"
  },
  "supply": {
    "track": "Research and knowledge work",
    "scenario": "RAG and knowledge",
    "maintenance": "1mo since push",
    "risk": "Needs review"
  },
  "alternative_skills": [],
  "do_not_use_when": [
    "teams that need a vendor-supported SLA",
    "production agents without a repository review",
    "Low GitHub adoption signal",
    "High-risk permission hints: Shell or command execution, Secrets or environment access",
    "Dependency or permission surface needs review",
    "Permission surface may require sandboxing",
    "AI review approval is missing",
    "Quality score needs review"
  ],
  "agent_contract": {
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    "recommended_action": "Do not auto-install. Inspect the source, dependencies, and permission surface first.",
    "install_policy": "block",
    "minimum_review_before_use": [
      "Trust: 66/100 Manual review",
      "Audit: 69/100 Needs review",
      "Safety: 21/100 Avoid automatic install",
      "Review repository, license, install command, and permission surface before production use."
    ],
    "expected_agent_output": {
      "selected_skill": "tdimino-architecture-md-builder (architecture-md-builder)",
      "install_command": "npx skills add tdimino/claude-code-minoan --skill architecture-md-builder",
      "risk_summary": "Needs review; Blocked for auto-install; Review before production",
      "verification_result": "Report the smallest successful task, files touched, warnings, and any missing setup."
    }
  },
  "outcome_feedback": {
    "endpoint": "https://www.openagentskill.com/api/agent/outcome",
    "method": "POST",
    "requires_resolve_event_id": true,
    "event_id_source": "Use install_receipt.outcome_feedback.event_id or feedback.event_id returned by /api/agent/resolve for the current task.",
    "expected_outcomes": [
      "success",
      "failed",
      "not_relevant",
      "blocked_by_risk",
      "setup_required"
    ],
    "payload_template": {
      "event_id": "<install_receipt.outcome_feedback.event_id or feedback.event_id from /api/agent/resolve>",
      "skill_slug": "tdimino-architecture-md-builder",
      "task": "Use architecture-md-builder in an agent workflow",
      "agent": "codex",
      "outcome": "success",
      "install_used": true,
      "risk_blocked": false,
      "setup_required": false,
      "task_success": true,
      "output_quality": 4,
      "error_type": null,
      "human_review_required": false,
      "workspace": "sandbox",
      "time_to_useful_ms": 120000,
      "notes": "Report the smallest successful task, setup friction, files touched, and risk notes."
    }
  },
  "endpoints": {
    "web": "https://www.openagentskill.com/skills/tdimino-architecture-md-builder",
    "api": "https://www.openagentskill.com/api/agent/skills/tdimino-architecture-md-builder",
    "audit": "https://www.openagentskill.com/skills/tdimino-architecture-md-builder/audit",
    "eval": "https://www.openagentskill.com/api/agent/evals?slug=tdimino-architecture-md-builder&task=Use%20architecture-md-builder%20in%20an%20agent%20workflow&max_risk=medium",
    "resolve": "https://www.openagentskill.com/api/agent/resolve?task=Use%20architecture-md-builder%20in%20an%20agent%20workflow&agent=codex&max_risk=medium",
    "receipt": "https://www.openagentskill.com/api/agent/receipt?task=Use%20architecture-md-builder%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text",
    "install": "https://www.openagentskill.com/api/skills/tdimino-architecture-md-builder/install",
    "manifest": "https://www.openagentskill.com/api/registry/manifest/tdimino-architecture-md-builder"
  }
}

Für Ersteller

Quelle des Eintrags

Registry-indexiert

Beanspruchbar

Dieser Eintrag wurde aus öffentlichen Quellen indexiert und ist erst nach Genehmigung eines Maintainer-Anspruchs offiziell.

Ersteller: tdimino
Quelle: tdimino/claude-code-minoan
Indexiert von: OpenAgentSkill Community-Index

Die Zuordnung verlinkt auf das öffentliche Repository oder Creator-Profil. Creator können den Eintrag beanspruchen, um Eigentümersignale zu aktualisieren.

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Dieser Registry-indexiert-Eintrag wird tdimino zugeschrieben, ist aber noch nicht offiziell markiert. Beanspruche ihn, um ein verifiziertes Eigentümersignal hinzuzufügen und künftige Launch-, Installations- und Audit-Updates vertrauenswürdiger zu machen.

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