SourceAtlas: Project Overview (Stage 0 Fingerprint)

Constitution: [ANALYSISCONSTITUTION.md](../../../ANALYSISCONSTITUTION.md) v1.0

Context

Arguments: ${ARGUMENTS:-.}

Goal: Generate project fingerprint by scanning <5% of files to achieve 70-80% understanding in 10-15 minutes.

Auto-Save: Results automatically saved to .sourceatlas/overview.yaml (or subdirectory-specific path)

Time Limit: 10-15 minutes (typically 0-5 minutes)

Cache Check (Highest Priority)

If --force is NOT in arguments, check cache first:

1. Calculate cache path:

- No path argument or .: .sourceatlas/overview.yaml - With path (e.g., src/api): .sourceatlas/overview-src-api.yaml

1. Check if cache exists:

``bash ls -la .sourceatlas/overview.yaml 2>/dev/null ``

1. If cache exists:

- Calculate days since modification - Use Read tool to read cache - Output: `` 📁 Loading cache: .sourceatlas/overview.yaml (N days ago) 💡 Add --force to re-analyze `` - If over 30 days: Show warning - Output cache content - End, do not execute analysis

1. If cache does not exist: Continue with analysis

If --force is in arguments: Skip cache, execute analysis

Your Task

Execute Stage 0 Analysis Only - generate project fingerprint using information theory principles.

Information Theory Approach:

• High-entropy files contain disproportionate information
• Scan priority: Documentation → Configuration → Models → Entry Points → Tests
• Scale-aware: TINY/SMALL/MEDIUM/LARGE/VERY_LARGE projects need different approaches

Core Workflow

Execute these phases in order. See [workflow.md](workflow.md) for complete details.

Phase 1: Project Detection & Scale-Aware Planning (2-3 minutes)

Purpose: Detect project type, count files, determine scale, set scan limits.

Execute detection:

# Try helper script first (recommended)
if [ -f ~/.claude/scripts/atlas/detect-project.sh ]; then
    bash ~/.claude/scripts/atlas/detect-project.sh ${ARGUMENTS:-.}
elif [ -f scripts/atlas/detect-project.sh ]; then
    bash scripts/atlas/detect-project.sh ${ARGUMENTS:-.}
else
    echo "Warning: detect-project.sh not found, using manual detection"
fi

Scale-Aware Scan Limits:

• TINY (<5 files): 1-2 files (50% max)
• SMALL (5-15 files): 2-3 files (10-20%)
• MEDIUM (15-50 files): 4-6 files (8-12%)
• LARGE (50-150 files): 6-10 files (4-7%)
• VERY_LARGE (>150 files): 10-15 files (3-7%)

→ See [workflow.md#phase-1](workflow.md#phase-1-project-detection--scale-aware-planning-2-3-minutes) for manual fallback

Phase 2: High-Entropy File Prioritization (5-8 minutes)

Purpose: Scan highest information-density files first.

Scan Priority Order:

1. Documentation (README.md, CLAUDE.md, docs/)
2. Configuration (package.json, docker-compose.yml, etc.)
3. Core Models (models/, entities/, domain/) - pick 2-3 only
4. Entry Points (app.ts, routes/) - pick 1-2 examples
5. Tests - pick 1-2 examples

Execute scanning:

# Use helper script if available
if [ -f ~/.claude/scripts/atlas/scan-entropy.sh ]; then
    bash ~/.claude/scripts/atlas/scan-entropy.sh ${ARGUMENTS:-.}
else
    echo "Warning: scan-entropy.sh not found, scanning manually"
fi

AI Tool Detection:

# Detect AI collaboration level (Tier 1 + Tier 2)
if [ -f ~/.claude/scripts/atlas/detect-ai-tools.sh ]; then
    bash ~/.claude/scripts/atlas/detect-ai-tools.sh ${ARGUMENTS:-.}
else
    # Fallback: manual checks
    ls -la CLAUDE.md .cursorrules .windsurfrules CONVENTIONS.md AGENTS.md .aiignore 2>/dev/null
    ls -la .claude/ .cursor/rules/ .windsurf/rules/ .clinerules/ .roo/ .continue/rules/ .ruler/ 2>/dev/null
fi

→ See [workflow.md#phase-2](workflow.md#phase-2-high-entropy-file-prioritization-5-8-minutes) for manual commands

Phase 3: Generate Hypotheses (3-5 minutes)

Purpose: Generate scale-appropriate hypotheses with confidence levels and evidence.

Hypothesis Categories:

• Technology Stack: Languages, frameworks, databases, testing
• Architecture: Patterns, structure, layering
• Development Practices: Code quality, testing, documentation
• AI Collaboration: Tool detection (Level 0-4)
• Business Domain: Purpose, entities, features

Scale-Aware Targets:

• TINY: 5-8 hypotheses
• SMALL: 7-10 hypotheses
• MEDIUM: 10-15 hypotheses
• LARGE: 12-18 hypotheses
• VERY_LARGE: 15-20 hypotheses

Each hypothesis must include:

• hypothesis: Clear statement
• confidence: 0.0-1.0 (aim for >0.7)
• evidence: file:line references
• validation_method: How to verify

→ See [workflow.md#phase-3](workflow.md#phase-3-generate-hypotheses-3-5-minutes) for detailed guidance

Output Format

Generate output with branded header, then YAML format:

🗺️ SourceAtlas: Overview
───────────────────────────────
🔭 [project_name] │ [SCALE] ([file count] files)

Then YAML content with sections:

• metadata: projectname, scantime, totalfiles, scannedfiles, scanratio, projectscale, context
• projectfingerprint: projecttype, scale, primary_language, framework, architecture
• tech_stack: backend, frontend (optional), infrastructure (optional)
• hypotheses: architecture, techstack, development, aicollaboration, business
• scannedfiles: List with file, reason, keyinsight
• summary: understandingdepth, keyfindings

→ See [output-template.md](output-template.md) for complete YAML structure and examples

Critical Rules

1. Scale-Aware Scanning: Follow recommended file limits from Phase 1
2. Exclude Common Bloat: Never scan .venv/, node_modules/, vendor/, pycache, .git/
3. Time Limit: Complete in 10-15 minutes (typically 0-5 minutes)
4. Hypothesis Quality: Each must have confidence >0.7 and evidence
5. Scale-Aware Targets: Use hypothesis targets appropriate for project scale
6. No Deep Diving: Understand structure > implementation details
7. STOP after Stage 0: Do not proceed to validation or git analysis

Handoffs Decision Rules

Follow Constitution Article VII: Handoffs Principles

⚠️ Choose ONE output, NOT both:

Case A - End (No Table): When any condition is met:

• Project too small: TINY (<10 files)
• Findings too vague: Cannot provide high confidence (>0.7) parameters
• Goal achieved: AI collaboration Level ≥3 and scale TINY/SMALL

Output:

✅ **Analysis sufficient** - Project is small, can read all files directly

Case B - Suggestions (Table): When project scale is large enough or clear next steps exist.

Format:

## Recommended Next

| # | Command | Purpose |
|---|---------|---------|
| 1 | `/sourceatlas:pattern "repository"` | Found Repository pattern in 15 files |

💡 Enter a number (e.g., `1`) or copy the command to execute

→ See [reference.md#handoffs](reference.md#handoffs-decision-rules) for detailed logic

Self-Verification Phase (REQUIRED)

Purpose: Prevent hallucinated file paths, incorrect counts, fictional configs.
Execute AFTER output generation, BEFORE save.

Verification Steps:

Step V1: Extract Verifiable Claims

Extract from generated YAML:

• File paths (scanned_files[].file)
• Config files (toolsdetected[].configfile)
• File count (metadata.total_files)
• Git branch (metadata.context.git_branch)
• Evidence references (hypotheses.*.evidence)

Step V2: Parallel Verification

Run ALL checks in parallel:

• Verify scanned files exist: test -f path
• Verify AI tool configs exist: test -f config
• Verify file count: ±10% tolerance
• Verify git branch: git branch --show-current
• Verify evidence files exist

Step V3: Handle Results

• ✅ All pass → Continue to output/save
• ⚠️ 1-2 fail → Correct claims, note in summary
• ❌ 3+ fail → Re-execute analysis phases

Step V4: Verification Summary

Add to footer:

If all passed:

✅ Verified: [N] scanned files, [M] config paths, file count

If corrected:

🔧 Self-corrected: [list corrections]
✅ Verified: [N] scanned files, [M] config paths, file count

→ See [verification-guide.md](verification-guide.md) for complete checklist and examples

Auto-Save (Default Behavior)

After verification passes, automatically:

1. Create directory: mkdir -p .sourceatlas
2. Save YAML output to:

- Root: .sourceatlas/overview.yaml - Subdirectory: .sourceatlas/overview-[path].yaml

1. Confirm: 💾 Saved to .sourceatlas/overview.yaml

→ See [reference.md#auto-save](reference.md#auto-save-behavior) for details

Advanced

• Scale-aware analysis: [reference.md#scale-aware-analysis](reference.md#scale-aware-analysis)
• Helper scripts: [reference.md#helper-scripts](reference.md#helper-scripts)
• Cache behavior: [reference.md#cache-behavior](reference.md#cache-behavior)
• AI collaboration detection: [reference.md#ai-collaboration-detection](reference.md#ai-collaboration-detection)
• Information theory: [reference.md#information-theory-principles](reference.md#information-theory-principles)

Output Header

Start your output with:

🗺️ SourceAtlas: Overview
───────────────────────────────
🔭 [project_name] │ [SCALE] ([file count] files)

Then follow YAML structure in [output-template.md](output-template.md).