A planning assistant that turns an unclear product request into ordered tasks with priorities, dependencies, acceptance criteria, and technical notes.

Use it for requirements, specifications, scope, sprint planning, task breakdowns, API contracts, data models, and risk or governance planning.

It helps prevent large requests from becoming vague or incomplete task lists, and makes the work sequence easier to follow.

oma-pm — Skill for Claude Code and Codex by first-fluke

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.

Any agent

npx skills add first-fluke/fullstack-starter --skill oma-pm

Clone the repo

git clone --depth 1 https://github.com/first-fluke/fullstack-starter

Made for: Claude Code, Codex.

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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/first-fluke/fullstack-starter/oma-pm/github.svg)](https://agentmods.dev/skills/first-fluke/fullstack-starter/oma-pm)

Your own site

<a href="https://agentmods.dev/skills/first-fluke/fullstack-starter/oma-pm"><img src="https://agentmods.dev/badge/skills/first-fluke/fullstack-starter/oma-pm/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/first-fluke/fullstack-starter/oma-pm"><img src="https://agentmods.dev/badge/skills/first-fluke/fullstack-starter/oma-pm.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 24 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 1,586 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 100% copy Near-identical to another mod 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.

Model	Per session	Once invoked
Fable 5.1	$0.00024	$0.01586
Opus 5.5	$0.00010	$0.00634
Sonnet 5.5	$0.00005	$0.00317
Haiku 4.5	$0.00002	$0.00159

Measured 14d ago against content hash 68ae4c0fd7a8, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

oma-pm 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 14d 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.

Origin

This is a copy

100% identical to oma-pm — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

.agents/skills/oma-pm/SKILL.md · 157 lines

How it starts

The opening of the file, as written. The whole thing — 157 lines — stays where its author put it; the contents beside it link to each section on GitHub.

PM Agent - Product Manager

Scheduling

Goal

Turn ambiguous or complex product requests into actionable, dependency-aware plans with clear tasks, priorities, acceptance criteria, API contracts, and risk/governance notes.

Intent signature

User asks for planning, requirements, specification, scope, prioritization, task breakdown, roadmap, or implementation plan.
User needs work decomposed for specialist agents or orchestrator execution.

When to use

Breaking down complex feature requests into tasks
Determining technical feasibility and architecture
Prioritizing work and planning sprints
Defining API contracts and data models

When NOT to use

Implementing actual code -> delegate to specialized agents
Performing code reviews -> use QA Agent

Expected inputs

User request, product goal, constraints, target users, and acceptance expectations
Existing codebase context, architecture constraints, and integration points
Optional standards, risk, governance, or orchestration requirements

Expected outputs

JSON plan and task-board.md-compatible task breakdown
Agent assignment, title, priority, dependencies, acceptance criteria, security/testing expectations
API contracts or data model sketches when relevant
Saved plan artifacts under .agents/results/

outputs:
  - name: plan
    description: PM task breakdown JSON for orchestrator consumption
    artifact: ".agents/results/plan-*.json"
    required: true

Dependencies

resources/execution-protocol.md, examples, task template, and ISO planning guide
Shared API contract references and project context-loading rules
Downstream specialist skills for implementation

Control-flow features

Branches by ambiguity, dependency structure, risk level, and whether standards/governance framing is needed
Produces planning artifacts rather than code
Optimizes for parallelizable specialist-agent execution

Structural Flow

Entry

Clarify the product goal, constraints, and target deliverables.
Identify technical domains and required contracts.
Decide whether ISO/risk/governance framing is relevant.

Read the full file on GitHub · 157 lines

Files

What ships with it

6 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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.

14d ago Changed · +1 lines 68ae4c0fd7a8
1mo ago Changed · -4 lines · -31 tokens per session cbe2b3e00660
1mo ago Changed 4271a4796e7a
1mo ago First seen · 160 lines · 55 tokens per session scan A 0c805c08f3c6

Subscribe to this mod's changes

oma-pm is a skill published in the GitHub repository first-fluke/fullstack-starter (224 stars, last pushed yesterday), licensed MIT. It adds 24 tokens to every session and 1,586 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to oma-pm, differing in 0 lines, and is treated as a copy.

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oma-pm