OpenSEO Project Setup

Bind the current repo to an OpenSEO project so every other openseo-* skill has a stable project id, and prepare mktg's local SEO state contract. This is a one-time-per-repo handshake, not an audit and not research.

On Activation

Run these steps in order. Each has a fallback; never block on missing context.

Step 1 — Check catalog readiness

mktg catalog info openseo --json --fields configured,missing_envs,mcp

• Exit 1 → the openseo catalog is missing; upgrade marketing-cli. Stop.
• configured: false → name the missing envs from missing_envs. Hosted path: sign up at openseo.so, connect the MCP in the user's agent client (root .mcp.json ships the openseo server), and/or set OPENSEO_API_KEY for non-interactive automation. Without any connection, stop after writing the gap note — research skills will fall back to Exa with metrics unknown.

Step 2 — Read brand grounding

Read brand/keyword-plan.md and brand/positioning.md if they exist (tolerate missing). The domain, audience, and positioning facts go into the project record. If brand/ is all templates, note it and recommend /cmo foundation first — SEO inputs without positioning are guesses.

Step 3 — Resolve the OpenSEO project

Via the OpenSEO MCP tools: whoami (if available) then list_projects. Match the project to the user's domain. If the list is ambiguous, ask which project. If MCP is unavailable but OPENSEO_API_KEY is set, note that interactive MCP steps are deferred and record what is known.

Do NOT call research tools to test connectivity — whoami/list_projects are the only probes allowed here (they are free; research calls spend DataForSEO credit).

Step 4 — Write the binding + state directories

Create or update .seo/openseo.json:

{ "version": 1, "projectId": "<id>", "domain": "<domain>", "mcpUrl": "https://app.openseo.so/mcp", "linkedAt": "<iso>", "updatedAt": "<iso>" }

Create .seo/ with rank-snapshots/ if rank tracking is in scope. If brand/keyword-plan.md is a template, leave it alone — the first research run populates it; do not pre-fill with placeholders.

Step 5 — Google Search Console

GSC is the richest first-party signal (striking-distance terms, cannibalization).

• Hosted preferred: point the user at the OpenSEO project's Integrations page to connect GSC natively; later skills read it live via get_search_console_performance.
• Fallback (self-host / file preference): ask for CSV exports into .seo/gsc/ (queries-last-3-months.csv, pages-last-3-months.csv, 16-month variants when available).

Never claim GSC is connected unless get_search_console_performance confirms it — it returns a "not connected" message otherwise.

Step 6 — Recommend the next skill

Situation	Next
No keyword plan yet	openseo-keyword-research
Has keyword list / GSC data	openseo-keyword-clustering
Market unclear	openseo-competitive-landscape
Known competitor	openseo-competitor-analysis

Anti-Patterns

• Running research calls as a connectivity test — because every OpenSEO research call can spend DataForSEO credit, and a setup handshake has no business spending money. whoami and list_projects are free; use only those.
• Claiming GSC is connected without proof — because downstream skills (keyword research's striking-distance strategy) silently change behavior based on that claim; a false positive turns first-party data into invented data. Verify with get_search_console_performance or say "not connected."
• Pre-filling brand/keyword-plan.md with placeholder keywords — because template-detection (SHA-256) and mktg plan health read placeholder content as "populated," and every downstream skill then trusts fake keywords. Leave the template until real research lands.
• Forking state into a second project file — because two project ids drift and every skill has to guess which is canonical. .seo/openseo.json is the single binding; update it, never duplicate it.
• Asking the user 15 questions before writing anything — because setup should orient, not assign homework. Capture what is known, mark the rest unknown, and let research skills fill gaps on demand.

Close the loop

After writing files, log completion so mktg plan / mktg status count the work (bare mktg run only logs loaded):

mktg run openseo-project-setup --complete --writes <paths written> --result success --json

Progressive Enhancement

Level	Behavior
L0 (no envs, no MCP)	Gap note only; point at Exa-backed keyword-research with metrics unknown
L1 (OPENSEO_API_KEY)	Binding written; MCP-dependent steps documented as deferred
L2 (MCP connected)	Full project resolution + GSC live check
L3 (GSC connected)	.seo/gsc/ or live GSC feeds keyword research + clustering directly

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Adapted from every-app/open-seo .agents/skills/seo-project-setup (MIT). Upstream workflow by the OpenSEO maintainers; mktg state contract, brand grounding, and cost discipline added here.