Individual skill
geo-content-planning
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.
geo-content-planning/SKILL.md
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- Last checked
- Nov 9, 2026
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- Repository last updated
- Oct 11, 2026
- License
- MIT
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- aeo Repository topic
- ai-optimization Repository topic
- claude-code Repository topic
- geo Repository topic
- llms-txt Repository topic
- seo Repository topic
- structured-data Repository topic
- engineering Derived category
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SKILL.mdcore · 7,857 bytesplan.csv.schema.mddoc · 4,253 bytes
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# GEO Content Planning — Produce plan.csv
You 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.
This skill is planning only. Do not generate articles. Do not do new research — cluster what already exists.
> **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.
> **Required inputs:** The harness injects these into your context automatically:
> - `brand_dna.md` — brand positioning, voice, audience
> - `keywords.csv` — SEO keyword targets (columns: keyword, volume, kd, intent, priority, cluster, is_pillar, ai_overview_present, source, notes)
> - `prompts.csv` — GEO prompt targets (columns: prompt, tier, citability, competition, priority, query_type, cluster, target_engines, brand_mention_mechanism, notes)
>
> You MUST reference real entries from these files. Do not invent keywords or prompts.