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/geo-pipeline

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,

From plugin
recomby-geo
5059 skills7 commands
Install
$ npx -y skills add ViryaZheng/recomby-geo --skill geo-pipeline --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/geo-pipeline

Context preview

The summary Claude sees to decide when to auto-load this skill.

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,

SKILL.md

geo-pipeline.SKILL.md
name: geo-pipeline
description: 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.
license: Recomby.ai — same terms as the recomby-geo plugin root LICENSE

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):

   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.Draft202012Validator(json.load(open("plugins/recomby-geo/schemas/<file>"))).validate(json.load(open("clients/<slug>/<artifact>")))
   print("validate each artifact against plugins/recomby-geo/schemas/*.schema.json")
   PY

4. Stop at the human-in-loop points (see rules below).

Stage order (never run out of order)

inputs/ → 01-intake → brand_context.json
        → 02-audit  → visibility_baseline.json
        → 03-gap    → content_priorities.json
        → 04-content-brief → briefs/<id>.md (+ .html, REQUIRED-FILL slots)
            [EXPERT FILLS THE SLOTS — not the AI]
          04 Step 9 verifies fills → status: ready-for-production
        → 05-production → drafts/<id>.md (+ review .html)
        → 06-distribution → distribution/<id>.json + publish-bundle.md
            [PUBLISH + WAIT 7+ days]
        → 07-reaudit (monthly) → reaudit/round-N.json → feeds next 03-gap

02 needs 01; 03 needs 01+02; 04 needs 01+03; 05 needs 04 (filled); 06 needs 05; 07 needs a prior 02.

Hard rules (orchestration level)

1. **The expert fills briefs — not the AI.** `05-production` refuses to run unless `briefs/<id>.meta.json` status is `ready-for-production`. Never auto-fill REQUIRED-FILL slots; pause the pipeline if the expert is unavailable. This human-in-loop checkpoint is the entire moat. 2. **Schema validation is enforced.** If an artifact fails its schema, fix before moving on. Schemas: `schemas/*.schema.json`. 3. **One client per folder.** Don't share JSON across `clients/<slug>/` folders or factor out "common" context. 4. **Never run a stage out of order** (see graph above).

Client review HTML

Stages 04 and 05 produce interactive HTML for the client via the `geo-review-html` skill (also in this plugin). On Codex this works the same as on Claude Code — the stage spec already calls `render_html.py`.

Requirements

The capability skills' scripts (e.g. `seo-geo-optimizer`, `geo-review-html`) need `python3` on PATH; the schema validation step needs `jsonschema` (`pip install jsonschema`). These are the same dependencies as the Claude Code side.

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Ships withrecomby-geo

GEO 领域 AI 员工开源方案 · Open-source GEO AI-employee solution (MIT). GEO Skills package + curated lists of agents and office CLIs that make up the AI-employee stack.

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