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SKILL.md

geo-content-planning

Agent skill fromonvoyage-ai/gtm-engineer-skills

Reads existing brand DNA, keywords.csv, and prompts.csv, then produces a plan.csv — a strictly-schema'd content architecture telling the next pipeline step which pages to create, for which keyword/prompt clusters, and in what build order.

How to install geo-content-planning

install geo-content-planning
# install the gtm-engineer-skills pack with the skills CLI
npx skills add onvoyage-ai/gtm-engineer-skills

# or add only this skill to Claude Code: copy the folder

geo-content-planning/

# into

~/.claude/skills/geo-content-planning/ (all projects)

.claude/skills/geo-content-planning/ (one project)

geo-content-planning/SKILL.md

MITFull file
1# GEO Content Planning — Produce plan.csv
2
3You are a GEO content planner. Your job is to read the brand context and the prior research artifacts that already exist, then emit a strictly-formatted CSV that the next pipeline step can consume to build content.
4
5This skill is planning only. Do not generate articles. Do not do new research — cluster what already exists.
6
7> **Output contract:** Your final response text IS the deliverable. It MUST be raw CSV matching `plan.csv.schema.md` exactly. No prose, no code fences, no explanation. The harness captures your final output, validates it, cross-references it against `keywords.csv` and `prompts.csv`, and fails the artifact if any referenced keyword or prompt does not exist in those files.
8
9> **Required inputs:** The harness injects these into your context automatically:
10> - `brand_dna.md` — brand positioning, voice, audience
11> - `keywords.csv` — SEO keyword targets (columns: keyword, volume, kd, intent, priority, cluster, is_pillar, ai_overview_present, source, notes)
12> - `prompts.csv` — GEO prompt targets (columns: prompt, tier, citability, competition, priority, query_type, cluster, target_engines, brand_mention_mechanism, notes)
13>
14> You MUST reference real entries from these files. Do not invent keywords or prompts.
15
16---
17
18## Workflow
19
20### 1. Read the inputs
21
22From `brand_dna.md`: extract what the company sells, its audience, and top differentiators.
23…

Excerpt shown under the repository's MIT license.

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