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Omh Market Research

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rlaope
omh-market-research

[omh] Market sizing or customer/competitive analysis: investigate a scoped market with TAM/SAM/SOM sensitivity, attributed customer evidence, and comparable competitor/pricing profiles before a decision brief. Use when the user says: market-research, market sizing, tam sam som, bottom up market sizing, market size sensitivity, customer evidence analysis, jtbd evidence matrix, competitor pricing profiles.

Overview

Publisherrlaope
Repositoryoh-my-hermes
Skill nameomh-market-research
Stars
3.6K
Forks
269
Bundled files
5
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.

  • 5 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

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

Installation

Install the Omh Market Research 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-market-research
  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-market-research .claude/skills/omh-market-research
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Omh Market Research 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 Market Research 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 Market Research 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.

Market Research

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

Why This Exists

market-research turns a broad market question into bounded sizing, customer evidence, and comparable competitive analysis that a decision owner can inspect without mistaking secondary research for validation.

First Steps

  • Confirm the decision, buyer/segment, geography, period, currency/base year, units/denominator, source cutoff, budget, and stop condition before retrieval. Mark missing inputs unknown; ask the one that changes the analysis first.
  • Read references/findings-template.md to open the ledger, then load only the needed methods: references/market-sizing.md, references/customer-evidence.md, or references/competitive-pricing.md. Do not manufacture empty analysis lanes for an out-of-scope question.

Do Not Use When

  • A kill, pivot, or persevere gate before a PRD is needed; use omh-product-discovery-validation.
  • A recurring source inbox with Scout, Analyst, and Briefer operations is needed.
  • Supplied tickets need clustering and investigation priorities; use omh-feedback-triage.
  • A supplied spreadsheet needs cleaning, descriptive statistics, or anomaly analysis; use omh-data-analysis.
  • A supplied academic PDF needs section-by-section explanation; use omh-paper-learning.
  • A general business question needs an audience-ready synthesis rather than a domain model; use omh-research-brief.

Examples

Good example:

  • Prompt: Estimate TAM SAM SOM for US independent dental clinics with sourced counts and sensitivity, not a guessed capture percentage.
  • Expected behavior: Fix scope and units, build a source/assumption ledger, calculate addressable scenarios with tools, and expose confidence limits and missing inputs.
  • Why: The task needs an addressable-market model, not only a narrative brief.

Bad example:

  • Prompt: Approve our startup for investment because a large total market proves demand.
  • Expected behavior: Keep the size estimate separate from a discovery decision; require target-customer evidence and the decision owner's gate.
  • Why: Market scale is not customer validation or permission to build.

Completion Checklist

  • The scope, units, source cutoff and stop reason are explicit, and every material finding links sources or labeled assumptions.
  • Requested methods include source coverage, contrary evidence and confidence limits; unrequested lanes are marked not requested, not completed.
  • Calculation receipts, unresolved retrieval gaps and customer sample limitations are attached; unknowns remain unknown.
  • Decision implications name verification needs and an owner, never an automatic discovery, outreach, payment, scheduling or coding action.

Recovery Notes

  • If retrieval fails, record the source ID, attempted date, failure and uncovered period; seek an allowed alternative once within budget or leave the finding unresolved.
  • If sources disagree, compare definitions, geography, units and dates before choosing; preserve both ranges when they cannot be reconciled.
  • If customer evidence is absent, prepare a consent-aware evidence request and leave the JTBD hypothesis unvalidated, never generate participant answers.

When to Use

Use when the task needs market-specific analysis of addressable demand, customer jobs and pains, or comparable competitor and pricing evidence, not merely a generic brief or source list.

Strong routing signals: `market-research`, `market sizing`, `tam sam som`, `bottom up market sizing`, `market size sensitivity`, `customer evidence analysis`, `jtbd evidence matrix`, `competitor pricing profiles`, `competitive pricing analysis`

Catalog Metadata

Category: research Phase: market-analysis Quality tier: source-gated Reasoning demand: standard

Quality bar:

  • Require source IDs, dates/cutoffs, observed/vendor-asserted/inferred labels, assumptions and units on material claims.
  • Keep failed retrieval, contrary evidence, sample bias, scope mismatch and confidence limits visible; a citation alone does not verify a claim.
  • Load method and output templates on demand; calculations need real tool receipts, and absent evidence cannot be synthesized into certainty.

Required inputs:

  • decision and audience
  • buyer segment and geography
  • period currency units and source cutoff
  • available evidence and source boundary
  • research budget and stop condition

Expert clarification questions:

  • decision and audience
    • English: Which decision must this inform, for which audience and decision owner?
    • Korean: Which decision must this inform, for which audience and decision owner?

Expected outputs:

  • market scope and source ledger
  • TAM SAM SOM model and sensitivity
  • customer evidence and JTBD matrix
  • comparable competitor and pricing profiles
  • decision-ready market findings

Artifact expectations:

  • prepared market analysis with source IDs, assumptions, failed retrieval gaps, and tool calculation receipts when captured

Safety rules:

  • Never invent figures or quotes, customer participants, market shares, traffic/revenue estimates, source IDs, or tool results. Label unsupported inputs unknown rather than borrowing a generic industry ratio.
  • Outreach, participant recruitment, payments, and scheduling each require separate explicit approval; research approval is not permission to contact people, buy reports, run surveys, or create jobs.
  • Keep contact details, raw recordings, private transcripts, and sensitive customer data outside durable artifacts; use consented bounded summaries and pseudonymous IDs with access-controlled source pointers.
  • A prepared analysis is not retrieval, interviews, willingness to pay, customer validation, product-market fit, or an approved investment decision. No external tool, paid dataset, or MCP integration is mandatory.

Procedure: load references/procedure.md.

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.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Omh Market Research AI skill do?

[omh] Market sizing or customer/competitive analysis: investigate a scoped market with TAM/SAM/SOM sensitivity, attributed customer evidence, and comparable competitor/pricing profiles before a decision brief. Use when the user says: market-research, market sizing, tam sam som, bottom up market sizing, market size sensitivity, customer evidence analysis, jtbd evidence matrix, competitor pricing profiles.

Why use Omh Market Research on TypingMind?

Because you install it once and use it with any model. Omh Market Research 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 Market Research in TypingMind?

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

Which AI models can use Omh Market Research?

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 Market Research?

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

Is the Omh Market Research 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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