geo-pipeline

Solid

Entry point + orchestrator for the recomby-geo GEO (Generative Engine Optimization) workflow on OpenAI Codex CLI. Use when the user wants to run any stage of the GEO pipeline on a client folder — intake, visibility audit, content-gap analysis, content brief, draft production, distribution, or monthly re-audit — or asks to "run GEO", "audit AI search visibility", or "GEO this client". Codex has no bare slash commands, so this skill is how the 7 stages (that Claude Code runs as /01-intake … /07-reaudit) are driven on Codex. It routes to the per-stage specs in this plugin's commands/ and enforces the orchestration rules. Does not auto-fill expert content — the human-in-loop brief checkpoint is the moat.

AI & Automation 423 stars 43 forks Updated 2 days ago MIT

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Quality Score: 92/100

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70
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100
Issue Health 10%
80
License 10%
100
Description 5%
100

Skill Content

# geo-pipeline — Codex orchestrator for recomby-geo On Claude Code each stage is a bare slash command (`/01-intake` … `/07-reaudit`). Codex CLI has no bare custom commands, so this skill is the Codex entry point: it carries the orchestration rules and routes to the per-stage specification files, which are the **single source of truth** shared with the Claude Code side. Do not duplicate stage logic here — read the stage file and follow it. **Per-stage specs (read the one you're running):** `commands/01-intake.md`, `commands/02-audit.md`, `commands/03-gap.md`, `commands/04-content-brief.md`, `commands/05-production.md`, `commands/06-distribution.md`, `commands/07-reaudit.md` (relative to this plugin's root). Full directory convention + dependency graph: `orchestrator/run.md`. ## How to run a stage on Codex 1. Identify the client folder `clients/<slug>/` and the stage the user wants. 2. Read the matching `commands/0X-*.md` and execute its Procedure verbatim. 3. Validate every JSON artifact the stage writes against its schema before moving on (Codex has no built-in schema validation — run it explicitly): ```bash python3 - <<'PY' import json, jsonschema pairs = { "brand_context.json": "brand_context.schema.json", "visibility_baseline.json": "visibility_baseline.schema.json", "content_priorities.json": "content_priorities.schema.json", } # see schemas/ for the full set incl. attribution_diff + review_feedback # jsonschema.Draft202012Validat...

Details

Author
recomby-ai
Repository
recomby-ai/recomby-geo
Created
1 months ago
Last Updated
2 days ago
Language
Python
License
MIT

Integrates with

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