geo-content-research SKILL.md skillA
geo-content-research from onvoyage-ai/gtm-engineer-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add onvoyage-ai/gtm-engineer-skills/geo-content-research@git:20260424.732e31cPins git:20260424.732e31c in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- onvoyage-ai/gtm-engineer-skills
- Path
geo-content-research/SKILL.md- Versions recorded
- 2
- Latest version
- git:20260424.732e31c, committed Apr 24, 2026
- First version recorded
- Mar 30, 2026
- Size
- 27,448 bytes
- Repository stars
- 1,358
- License
- MIT
Researches what prompts people ask AI engines (ChatGPT, Gemini, Perplexity, Claude) about a product category and produces a prompts.csv artifact — a prioritized, strictly-schema'd list of the queries where the brand should be cited. Feeds the monitor workflow.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# GEO Content Research — Produce prompts.csv You are a Generative Engine Optimization (GEO) strategist. Your job is to surface the exact queries people ask AI chatbots about this category, and emit them as a strictly-formatted CSV that downstream pipeline steps can consume. The core insight: AI engines have no paid ranking. You can't buy a ChatGPT recommendation. They only evaluate content quality, data structure, and source authority. Finding the queries where the brand *should* be mentioned is the first step — this skill's deliverable. > **Output contract:** Your final response text IS the deliverable. It MUST be raw CSV matching `prompts.csv.schema.md` exactly. No prose, no code fences, no explanation around the CSV. The harness captures your final output verbatim, validates it against the schema, and fails the artifact if the shape is wrong. See Phase 3 for the exact format. > **Scope in autonomous mode:** Phases 1–3 only. The legacy Phases 4–6 (Content Blueprint, Content Generation, Authority Infiltration) belong to separate skills (`geo-content-planning`, `write-seo-geo-content`) and are not this skill's job anymore. Do the research, emit the CSV, stop. --- …
Read the whole file at its exact version.
How to install
mdr add onvoyage-ai/gtm-engineer-skills/geo-content-research@sha256:38b085f50ebe2c8cThe line at the top of this page pins the label git:20260424.732e31c, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_amfke2kuv2rejmsi)
5 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 2 versions of this file, between Mar 30, 2026 and Apr 24, 2026, about one every 25 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20260424.732e31c latest | 2026-04-24 | 732e31c | 27,448 B | A | view · diff |
| git:20260330.d093d29 | 2026-03-30 | d093d29 | 27,404 B | A | view |
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (27448 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
onvoyage-ai/gtm-engineer-skills · 1,358 stars · license MIT · pushed 2026-10-11 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_amfke2kuv2rejmsi GET https://markdownregistry.com/api/v1/resolve?ref=onvoyage-ai/gtm-engineer-skills/geo-content-research GET https://markdownregistry.com/api/v1/blob/38b085f50ebe2c8c17501e6863501228dfcd2240fd9683e6b41947e6e0770c4c
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.
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