Multi-path parallel product analysis with cross-model test-time compute scaling. Spawns parallel agents (Claude Code agent teams + Codex CLI) to explore product from multiple perspectives, then synthesizes findings into actionable optimization plans. Can invoke competitors-analysis for competitive b

Product Analysis Multi path parallel product analysis that combines Claude Code agent teams and Codex CLI for cross model test time compute scaling. Core principle : Same analysis task, multiple AI perspectives, deep synthesis. How It Works Step 0: Auto Detect Available Tools Before launching any agents, detect what tools are available: Decision logic : If codex is found: Inform the user — "Codex CLI detected (version X). Will run cross model analysis for richer perspectives." If codex is not found: Silently proceed with Claude Code agents only. Do NOT ask the user to install anything. Also detect the project type to tailor agent prompts: Scope Modes Parse $ARGUMENTS to determine analysis scope: Scope What it covers Typical agents full UX + API + Architecture + Docs (default) 5 Claude + Codex (if available) ux Frontend navigation, information density, user journey, empty state, onboarding 3 Claude + Codex (if available) api Backend API coverage, endpoint health, error handling, consistency 2 Claude + Codex (if available) arch Module structure, dependency graph, code duplication, separation of concerns 2 Claude + Codex (if available) compare X Y Self audit + competitive benchmarking (invokes /competitors analysis ) 3 Claude + competitors analysis Phase 1: Parallel Exploration Launch all exploration agents simultaneously using Task tool (background mode). Claude Code Agents (always) For each dimension, spawn a Task agent with subagent type: Explore and run in background: true : Agent A — Frontend Navigation & Information Density Agent B — User Journey & Empty State Agent C — Backend API & Health Agent D — Architecture & Module Structure (full/arch scope only) Agent E — Documentation & Config Consistency (full scope only) Codex CLI Agents (auto detected) If Codex CLI was detected in Step 0, launch parallel Codex analyses via background Bash. Each Codex invocation gets the same dimensional prompt but from a different model's perspective: Run 2 3 Codex commands in parallel (background Bash), one per major dimension. Important : Codex runs in the project's working directory. It has full filesystem access. The full auto flag (or dangerously bypass approvals and sandbox for older versions) enables autonomous execution. Phase 2: Competitive Benchmarking (compare scope only) When scope is compare , invoke the competitors analysis skill for each competitor: This delegates to the orthogonal competitors analysis skill which handles: Repository cloning and validation Evidence based code analysis (file:line citations) Competitor profile generation Phase 3: Synthesis After all agents complete, synthesize findings in the main conversation context. Cross Validation Compare findings across agents (Claude vs Claude, Claude vs Codex): Agreement = high confidence finding Disagreement = investigate deeper (one agent may have missed context) Codex only finding = different model perspective, validate manually Quantification Extract hard numbers from agent reports: Metric What to measure First screen interactive elements Total count of buttons/links/inputs visible to new user Feature entry point duplication Number of features with 2+ entry points API endpoints without frontend consumer Count of unused backend routes Onboarding steps to first value Steps from launch to first successful action Module coupling score Number of circular or bi directional dependencies Structured Output Produce a layered optimization report: Workflow Checklist [ ] Parse $ARGUMENTS for scope [ ] Auto detect Codex CLI availability ( which codex ) [ ] Auto detect project type (package.json / pyproject.toml / etc.) [ ] Launch Claude Code Explore agents (3 5 parallel, background) [ ] Launch Codex CLI commands (2 3 parallel, background) if detected [ ] Invoke /competitors analysis if compare scope [ ] Collect all agent results [ ] Cross validate findings [ ] Quantify metrics [ ] Generate structured report with P0/P1/P2 priorities References [references/analysis dimensions.md](references/analysis dimensions.md) — Detailed audit dimension definitions and prompts [references/synthesis methodology.md](references/synthesis methodology.md) — How to weight and merge multi agent findings [references/codex patterns.md](references/codex patterns.md) — Codex CLI invocation patterns and flag reference

product-analysis