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Product Manager. Invoked as $pm <request>. Feature reviews, UX friction analysis, prioritization, PRD updates. Dual lens — {USER_PERSONA} AND experienced PM.
Install with Codex or Claude Copy this prompt, paste it into Codex, Claude, or another assistant, and let it review the skill page and install it for you.
Based on SOC occupation classification
| name | pm |
| description | Product Manager. Invoked as $pm <request>. Feature reviews, UX friction analysis, prioritization, PRD updates. Dual lens — {USER_PERSONA} AND experienced PM. |
Read .claude/commands/pm.md in full — it is your complete role manual. Follow it verbatim.
Argument: feature review request, UX question, prioritization task, or PRD update.
rr protocol lives at .claude/skills/rr/SKILL.md and is exposed to Codex through .codex/skills/rr/SKILL.md.RR, RRP, "research and report", "market research", "persona research", "competitors", "landscape", or another broad product research task, execute an RR-compatible pipeline: read the RR skill, scout or pre-split subquestions, spawn Codex research agents in parallel, and aggregate one report under docs/dev/research/.docs/agents/PRD.md — you may update it directly.Cross-project build pipeline. Invoked as $wave-build <feature> or $wave-build with Pipeline/Task manifest/Wave args. Runs the full pipeline end to end including all git work.
Wave task runner. Reads a wave.md file and runs each pipeline sequentially. Invoked as `$wave <path/to/wave.md>`. Argument is the path to the wave manifest file.
Attributes Claude Code runtime token spend per sub-agent and per workflow run, parsed from local JSONL transcripts, and ranks the heaviest burners with estimated USD cost. Answers 'which agent burned the most tokens', 'what did this workflow/wave/pipeline cost', 'token breakdown', 'per-operation tokens', and any retrospective spend analysis. Triggered by 'token ledger', 'token attribution', 'heaviest token burner', 'which agent burned the most tokens', 'what did the run/workflow/wave cost', 'token breakdown', 'per-agent tokens', 'per-operation tokens'. Complements /pcm:context-meter: that audits STATIC context size, this covers RUNTIME spend attribution — route static-budget questions to context-meter, after-the-fact spend questions here.
Code hygiene audit — ghost fields, dead code, deps, arch, types, naming, quality. Domain-hydrated at install time.
Security deep scan — injection, auth, API, LLM/prompt, sensitive data, crypto, transport, supply-chain. Domain-hydrated at install time.
Exhaustive multi-angle analysis. Invoked by `360`, `three-sixty`, `do a 360`, "what could go wrong", or explicit blind-spot sweep requests.