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Omh Product Brief

CommunityPopular
rlaope
omh-product-brief

[omh] PRD or roadmap priorities to decide: turn product evidence into a decision-ready PRD, prioritization frame, and roadmap brief. Use when the user says: product requirements document, PRD, roadmap prioritization, 제품 요구사항 문서, 제품 기획서, 로드맵 우선순위.

Overview

Publisherrlaope
Repositoryoh-my-hermes
Skill nameomh-product-brief
Stars
3.6K
Forks
269
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by rlaope on GitHub. Read the source before you install it.

Installation

Install the Omh Product Brief AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/rlaope/oh-my-hermes/tree/main/agent-skills/omh-product-brief
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/rlaope/oh-my-hermes.git /tmp/oh-my-hermes
mkdir -p .claude/skills
cp -r /tmp/oh-my-hermes/agent-skills/omh-product-brief .claude/skills/omh-product-brief
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Omh Product Brief in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Omh Product Brief on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Omh Product Brief is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Product Brief

This is an OMH product-brief workflow skill, projected for Agent Skills hosts (Claude Code, Codex, Cursor, opencode, OpenClaw, pi).

Why This Exists

product-brief turns product evidence into a reviewable PRD and prioritization frame before delivery planning without treating a draft as an accepted roadmap commitment.

Do Not Use When

  • The input is unprocessed feedback, bug reports, or feature asks that first need clustering and evidence boundaries; use omh-feedback-triage.
  • The product evidence is unvalidated, synthetic, or a founder belief and the problem gate has not returned validated; use omh-product-discovery-validation before a PRD.
  • The input is a growth hypothesis that still needs an experiment and readout before it becomes a product requirement; use omh-lifecycle-growth.
  • The user needs a company or product strategy decision across high-level options rather than a requirements or roadmap artifact; use omh-decide.
  • The request is an accepted, code-ready change with repository constraints and verification needs; use ulw-plan or ulw-work rather than recreating a PRD.
  • The user asks to create or update Jira, Linear, Aha!, or a roadmap system directly; use omh-apps with explicit target, approval, and observed evidence.

Examples

Good example:

  • Prompt: Create a PRD and prioritization options for reducing first-time user drop-off in onboarding.
  • Expected behavior: Prepare the product problem, user and metric brief, PRD, roadmap options, tradeoffs, and downstream prerequisites.
  • Why: The request needs a decision-ready requirements and prioritization artifact before delivery planning.

Bad example:

  • Prompt: Implement the accepted onboarding PRD and open a PR.
  • Expected behavior: Route to ultrawork or ralplan, not product-brief.
  • Why: Accepted implementation work should move into planning or delivery rather than recreate a PRD.

Completion Checklist

  • The plan names goals, non-goals, assumptions, acceptance criteria, and verification shape.
  • Draft recommendations, accepted decisions, and executor handoffs are separate states.
  • Rejected options or unresolved tradeoffs are recorded before handoff.

Recovery Notes

  • If acceptance criteria or verification are missing, route back to clarification before handoff.
  • If assumptions materially affect the plan, keep them visible and avoid treating the plan as accepted.

When to Use

Use when a product owner needs a problem frame, user/outcome definition, PRD, prioritization/roadmap options, dependencies, acceptance shape, and decision record before delivery planning.

Strong routing signals: `product requirements document`, `PRD`, `roadmap prioritization`, `제품 요구사항 문서`, `제품 기획서`, `로드맵 우선순위`

Catalog Metadata

Category: planning Phase: product-brief Quality tier: planning-gated Reasoning demand: standard

Quality bar:

  • Name problem, user, metric, goals, non-goals, requirements, dependencies, risks, and acceptance shape.
  • Preserve decision owner and downstream prerequisite boundaries.

Required inputs:

  • product evidence
  • problem and user
  • goal and non-goals
  • decision owner

Expert clarification questions:

  • product evidence
    • English: What product evidence should anchor this brief?
    • Korean: 이 브리프의 근거가 될 제품 증거는 무엇인가요?

Expected outputs:

  • problem, user, evidence, metric, goal, and non-goal brief
  • PRD with requirements, open questions, risks, dependencies, and acceptance shape
  • prioritization/roadmap options with tradeoffs and decision owner
  • explicit downstream route to ralplan, strategy-brief, or ultrawork only when its prerequisite is satisfied

Artifact expectations:

  • prepared product brief or PRD when a wrapper captures it

Safety rules:

  • Separate product evidence, assumptions, prioritization options, and stakeholder acceptance.
  • Do not claim roadmap-system mutation, implementation, test evidence, delivery, or market commitment.

Runtime Evidence

Use the current host's own tools and subagent/task mechanism when available; otherwise run the same lanes sequentially or name the unavailable capability. A prepared plan, handoff, checklist, or skill installation is not execution, review, CI, merge-readiness, or merge evidence. Record actual tool results, or not_observed / not_available, in the record; never invent dispatch or host accounting. Treat supplied context as advisory, not proof of hidden memory reads or writes. State scope, constraints, verification, and the stop condition before work. Reply in the user's own words and the host's own voice: the host's persona owns reply language, tone, speech level, and sentence endings, progress updates included (where it sets no language, use the one the user wrote in), and OMH shapes structure and content only; OMH's record terms (surface, lane, wrapper, handoff, evidence boundary, not_observed) stay in records and tool calls, never in the sentence the user reads unless they ask about one; and when a real unresolved user decision or a useful briefing discussion remains, offer one specific, content-linked question. Completed work needs no question; omit unrelated non-action footers and generic offers to continue. Supporting paths are relative to this skill directory; sibling skill paths are relative to its parent. Resolve them from the host-provided skill base directory ({baseDir} on hosts that provide it), never a hardcoded install location. A named workflow not installed here is unavailable, not permission to emulate its host-specific capabilities. Verify through the real surface before done.

Frequently asked questions

What does the Omh Product Brief AI skill do?

[omh] PRD or roadmap priorities to decide: turn product evidence into a decision-ready PRD, prioritization frame, and roadmap brief. Use when the user says: product requirements document, PRD, roadmap prioritization, 제품 요구사항 문서, 제품 기획서, 로드맵 우선순위.

Why use Omh Product Brief on TypingMind?

Because you install it once and use it with any model. Omh Product Brief is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Omh Product Brief in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/rlaope/oh-my-hermes/tree/main/agent-skills/omh-product-brief. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Omh Product Brief?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Omh Product Brief?

As many as you like. As long as a model supports skills, you can use Omh Product Brief with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Omh Product Brief AI skill free?

Yes. It is published on GitHub by rlaope under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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