product-manager

product-manager is an agent for Claude Code from jhlee0409/omni-harness-kit. It costs 170 tokens per session (1,432 once invoked), scanned A, original, MIT.

A senior product-planning assistant that defines the user problem, priorities, scope, success measures, and risks before development begins.

In plain words
What is it for?
Use it to create a product requirements document, decide what to build first, and recommend the right people or agents for design, engineering, and measurement.
Why use it?
It helps turn vague feature requests into a focused plan and identifies when the requested solution may not address the real need.

Agent for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: mentions subagents.

Part of the harness-kit plugin — 18 skills, 28 agents, 2 hooks shipped together

Good fit Use it to create a product requirements document, decide what to build first, and recommend the right people or agents for design, engineering, and measurement.

Compare 6 agents from other repositories ↓
Install with agentmods
npx agentmods add agents/jhlee0409/omni-harness-kit/product-manager
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Clone the repo
git clone --depth 1 https://github.com/jhlee0409/omni-harness-kit

Made for: Claude Code.

Or install harness-kit, the plugin that ships this one along with the rest of its 18 skills, 28 agents, 2 hooks.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for product-manager

README.md
[![agentmods](https://agentmods.dev/badge/agents/jhlee0409/omni-harness-kit/product-manager/github.svg)](https://agentmods.dev/agents/jhlee0409/omni-harness-kit/product-manager)
Your own site
<a href="https://agentmods.dev/agents/jhlee0409/omni-harness-kit/product-manager"><img src="https://agentmods.dev/badge/agents/jhlee0409/omni-harness-kit/product-manager/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for product-manager

Your own site · 80×15
<a href="https://agentmods.dev/agents/jhlee0409/omni-harness-kit/product-manager"><img src="https://agentmods.dev/badge/agents/jhlee0409/omni-harness-kit/product-manager.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 170 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,432 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00170 $0.01432
Opus 5 $0.00085 $0.00716
Sonnet 5 $0.00034 $0.00286
Haiku 4.5 $0.00017 $0.00143

Measured 9d ago against content hash 650e2b3c47da, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

product-manager scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

adapters/omp/agents/product-manager.md · 110 lines

How it starts

The opening of the file, as written. The whole thing — 110 lines — stays where its author put it; the contents beside it link to each section on GitHub.

You are product-manager — a senior PM/PO. Your job is to make the build/no-build and what-first decisions crisp, so limited hours go to the highest-leverage work. You define the problem and the scope; you do not write the code or the visual design.

First principle — the real problem, not the requested feature

The user often arrives with a solution ("add a settings toggle"). Your first move is to recover the JTBD behind it: what progress is the user trying to make, in what situation, blocked by what. Often the requested feature is the wrong cut. Name the job before scoping the build. If the ask solves a symptom, say so and reframe — that is the value you add.

Operating mode — two phases

  • Phase 1 — DEFINE (default). You may Edit/Write only the PRD / spec doc (new-spec scaffold or an existing specs/<slug>/spec.md). You never touch feature code, config, or UI. Produce the full PRD inline, then persist it.
  • Phase 2 — HANDOFF. Recommend the concrete next agents with a one-line why each: design surface → product-designer; backend/system shape → the matching *-architect; measurement → analytics-engineer; implementation → main / an impl agent. You do not do their work.

Required skills (load via skill:// — subagents don't auto-inject skill bodies)

ideate, ux-design-baseline, new-spec are auto-loaded. If absent, use the inline discipline below.

  • ideate — run BEFORE converging when the solution space is open. Generate genuinely different directions (isolated cognitive frames), then converge. Skip it for low-risk / reversible decisions — do not manufacture divergence where a one-liner answer is correct (over-engineering gate).
  • ux-design-baseline — consumes your PRD's JTBD + success metric when the work needs a design; you frame, product-designer designs.
  • new-spec — the spec triplet scaffold you write the PRD into.

The PRD — mandatory sections

  1. Problem — the JTBD + the evidence it's real (data, a real complaint, a measured drop-off — cite it; never "users probably want").
  2. Users — who, in what situation, how often. Segment if the job differs.
  3. Success metric — ONE primary, measurable, with baseline → target and a read window ("activation D1 34% → 45% in 4 weeks"). A PRD without a measurable success metric is REJECTED — a goal you can't measure is a wish.
  4. Scope — the smallest slice that delivers the value moment. The v1 that tests the riskiest assumption fastest.
  5. Non-goals — explicit, named, with a one-line why each is out. This section is where you cut with conviction; a PRD with no non-goals hasn't been scoped.
  6. Risks / assumptions — what must be true for this to work, and the cheapest way to falsify each before full build.
  7. Open questions — only genuine forks (business / irreversible / needs data you can't derive). Craft/design choices are NOT parked here — they go to product-designer.

Read the full file on GitHub · 110 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 9d ago First seen · 110 lines · 170 tokens per session scan A 650e2b3c47da

Subscribe to this mod's changes

product-manager is an agent published in the GitHub repository jhlee0409/omni-harness-kit (2 stars, last pushed 1mo ago), licensed MIT. It adds 170 tokens to every session and 1,432 once invoked, about $0.0009 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

Related

Other agents, from other repositories

todo

Intent-filtered action-list scanner agent — the /super-bootstrap:todo skill's fallback lane. Primary render is the skill's bundled render-board.py script (zero dispatch); this agent dispatches only when the script fails (python3 absent, non-zero exit, empty stdout). Reads the open cards in docs/work/ (plus…

RockyHong/super-bootstrap · 119 tokens

plan-creation-eng-lead

Engineering and Delivery Lead for implementation planning. Produces work breakdown structures, effort estimates, dependency graphs, milestones, parallel opportunities, and risk registers. Use when you need structured delivery planning for any implementation topic.

QBall-Inc/the-bulwark · 48 tokens

task-executor

Use this agent to execute a single tracked task with TDD, commit, and PR creation in an isolated git worktree. Dispatched by /coco:loop for parallel execution. Context: Multiple tasks are ready with non-overlapping file ownership. /coco:loop dispatches parallel agents. assistant: "I'll dispatch task-executor agents…

skullninja/coco-workflow · 97 tokens

engineering-manager

The Engineering Manager of the aSPARK team. Use in the Plan phase (/sprint-plan) to turn an approved spec into a technical plan: architecture decision with rejected alternatives, ordered task breakdown, test strategy and risks. Also use when a plan must be revised after review or QA findings.

a-lottes/aSPARK · 62 tokens

engineering-manager

Use to turn an approved plan or goal into a sequenced delivery plan — decomposing work into tasks with acceptance criteria, estimating effort, mapping dependencies into parallelizable waves, and flagging risks and blockers. Pick this for any workflow step that plans who-does-what-and-when before code is written. Does…

e1024kb/wise-claude · 74 tokens

linear-issue-creator

Create Linear issues from user descriptions. NOT for URLs — use linear-url-to-issues for that. Use when: "create issue", "new ticket", "log bug", "add task", "file issue", "report bug", "make ticket", "make issue", "add to linear", "create task", "new issue", "make new issue", "make new ticket", "make new linear…

Elnora-AI/elnora-linear · 175 tokens