analyze

name	analyze
description	Run multi-agent analysis pipeline on collected mirror data — baseline, 3 per-dashboard analysts (structure, data, UX), and synthesizer.
license	MIT
metadata	{"author":"musicofhel","version":"0.1.0","category":"analysis"}

When to Use

Use this skill after collection is complete and output/ contains mirror bundles. This runs Phases 2-4 of the pipeline.

Pipeline Stages

Phase 2: Baseline Analysis (1 agent)

Runs once across ALL dashboards. Reads:

• output/_baseline/stream-schema.json
• output/*/config/source.json, sent.json, chain-diff.txt

Prompt template: prompts/baseline.md

Output: output/_baseline/baseline-report.md

Tasks:

1. Schema coverage audit (every column in every query vs stream schema)
2. Spec compliance check
3. Cross-dashboard consistency (naming, colors, queries, granularity)
4. Transformation drift (config mutations)

Phase 3: Per-Dashboard Analysis (3 agents per dashboard, parallel)

For each dashboard, spawn 3 independent analysts:

Analyst A — Structure (prompts/analyst-structure.md)

• Layout, sizing, visibility, grid integrity
• Config drift (sent vs stored)
• Output: output/<slug>/analyst-structure.md

Analyst B — Data & Labels (prompts/analyst-data.md)

• Query correctness, schema coverage, data presence
• Labels, axes, legends, time range behavior
• Output: output/<slug>/analyst-data.md

Analyst C — UX & Polish (prompts/analyst-ux.md)

• Readability, error states, information hierarchy
• Chart effectiveness, loading performance, color coherence
• Output: output/<slug>/analyst-ux.md

Phase 4: Synthesis (1 agent per dashboard, after Phase 3)

Reads all 3 analyst reports + baseline + screenshots. Resolves contradictions with visual evidence.

Prompt template: prompts/synthesizer.md

Output: output/<slug>/grounding.md — the canonical grounding document

Invocation Pattern

Each agent receives its full prompt template + specific file paths:

You are Analyst B (Data & Labels). Here is your prompt:
[contents of prompts/analyst-data.md]

Analyze this dashboard:
- Screenshots: output/loop-health/screenshots/
- DOM: output/loop-health/dom/
- API: output/loop-health/api/
- Baseline schema: output/_baseline/stream-schema.json

Write your analysis to: output/loop-health/analyst-data.md

Parallelism

• Baseline must complete before per-dashboard analysts start
• The 3 analysts for each dashboard run in parallel (independent lenses)
• Synthesis runs after all 3 analysts complete for that dashboard
• Multiple dashboards can be analyzed in parallel