Agent skill

SEO Project Setup

by every-app in every-app/open-seo

Populate a project's shared OpenSEO context — site scope, goals, positioning, competitors, key pages, and preferences — plus MCP checks and Search Console intake.

MITAuto-check passedMarketing & SEO

Install SEO Project Setup

skills CLI
$ npx skills add every-app/open-seo --skill seo-project-setup -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install every-app/open-seo seo-project-setup --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/every-app/open-seo.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/seo-project-setup .claude/skills/seo-project-setup && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
seo-project-setup
GitHub stars
23k
Token cost
~2.3k tokens
SKILL.md length
1,287 words
Files
1
Skills in repo
19
Repo updated
First seen
Licence
MIT

At a glance

Populate a project's shared OpenSEO context — site scope, goals, positioning, competitors, key pages, and preferences — plus MCP checks and Search Console intake.

  • Works in 10 steps: Verify OpenSEO MCP and resolve the project → Read what is already there → Collect website scope → …
  • Tasks that involve Positioning and messaging
  • SKILL.md covers Goal, Tone, Where the answers go and Checklist, plus 2 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

SEO Project Setup is an agent skill from every-app/open-seo. Populate a project's shared OpenSEO context — site scope, goals, positioning, competitors, key pages, and preferences — plus MCP checks and Search Console intake.

Its SKILL.md is about 2.3k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Marketing & SEO, covering Positioning and messaging and MCP servers. It works with Model Context Protocol and Google Search Console. The repository describes itself as: Open source alternative to Semrush and Ahrefs. The licence is MIT.

When your agent uses it

  • Tasks that involve Positioning and messaging
  • Tasks that involve MCP servers

Example prompts

  • “/seo-project-setup”

Workflow steps

10 steps, taken from the step headings in SKILL.md.

  1. Verify OpenSEO MCP and resolve the project
  2. Read what is already there
  3. Collect website scope
  4. Capture goals
  5. Capture positioning and strategy context
  6. Save competitors
  7. Inventory key assets
  8. Connect Google Search Console
  9. Set up a local folder only for file work
  10. Recommend first workflow

What it can do on your machine

Read from SKILL.md and the folder at commit deb4491. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

SEO Project Setup loads about 2.3k tokens when it runs. Until then it costs about 45 tokens; SKILL.md has 1,287 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~45
When it runs · the whole SKILL.md, loaded when a task matches
~2.3k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from every-app/open-seo at commit deb4491, republished under its MIT licence (© every-app). 1,287 words, ~2,302 tokens.

Download SKILL.mdSave it as .claude/skills/seo-project-setup/SKILL.md (or your agent's skills folder).
name
seo-project-setup
description
Populate a project's shared OpenSEO context — site scope, goals, positioning, competitors, key pages, and preferences — plus MCP checks and Search Console intake.

OpenSEO SEO Project Setup

Goal

Interview the user once about one website or SEO project, and store the answers in that project's shared context in OpenSEO with update_project_context. That context is read by every other skill and by the user on the project's Context page (in the sidebar under AI) — so it survives new sessions, new machines, and new agents. This is a context setup workflow, not a full audit.

Tone

Be friendly, practical, and structured. Ask questions in small batches. Explain why each item matters only when useful. Do not overwhelm a beginner with jargon.

Where the answers go

Two project-context MCP tools do all the writing. Both are free — they spend no credits.

  • get_project_context(projectId): everything already known about the project, plus a missingSections list.
  • update_project_context(projectId, updates): a list of patch ops. The ones this skill uses:
    • { section: "business_overview" | "current_goal" | "positioning" | "writing_preferences", content }
    • { addCompetitors: [{ domain, name?, notes? }] }
    • { addKeyPages: [{ url, role: "hub" | "spoke" | "money" | "other", topic?, notes? }] }
    • { customSection: "<slug>", title?, content } for anything that does not fit a typed section
    • { appendResearchLog: { summary } } when this session spends credits

Write in batches as the interview progresses — do not hold every answer until the end. Sections are prose (~4,000 characters each), so a few tight paragraphs, not a transcript.

Checklist

1. Verify OpenSEO MCP and resolve the project

Writes need a projectId, so do this first:

  1. Use whoami if available.
  2. Use list_projects to confirm the user can access projects.
  3. Match the project to the website/domain they want to rank for.
  4. If the project list is ambiguous, ask the user which project should be used.
  5. If no project matches, offer to create one with create_project.
  6. If the MCP is unavailable, tell the user to connect OpenSEO MCP; without it, nothing can be saved.

Do not run research tools just to test connectivity; whoami and list_projects are enough.

2. Read what is already there

Call get_project_context. Show the user a short summary of what OpenSEO already knows and what is missing. Confirm or correct existing entries rather than re-asking questions that are already answered — this skill is often re-run after another skill filled in part of the context.

3. Collect website scope

Ask for:

  • Primary website/domain
  • Additional domains or subdomains
  • Important products, services, categories, or pages
  • Target countries/languages
  • Whether the site is new, established, migrating, or recovering from a drop
  • CMS or publishing workflow, if relevant

Write the durable parts to business_overview: what the business does, who it is for, the target markets/locales, and the site's current stage.

4. Capture goals

Ask the user what they want from SEO:

  • More qualified leads
  • More signups/trials
  • More ecommerce revenue
  • More newsletter/audience growth
  • More brand/category awareness
  • Recovery from traffic loss
  • Better ranking for specific pages

Ask for success metrics and timeframe. If goals are vague, help turn them into measurable goals such as "increase non-branded organic signups" or "rank top 10 for 20 buying-intent terms."

Write the result to current_goal, including the metric and timeframe.

5. Capture positioning and strategy context

Ask what research they have already done about the company, product, audience, and competitors. Request any notes, docs, customer interviews, positioning docs, pitch decks, landing pages, or strategy memos they can share.

Probe for:

  • Who the product or site is for
  • What pain it solves
  • Why users choose it over alternatives
  • Competitors and substitutes
  • Strong opinions or positioning claims
  • Best customers and bad-fit customers
  • Existing content that already converts
  • Topics they do not want to target

If the user has not done this yet, offer to help research positioning using the company website, competitor pages, reviews, forums, and web search.

Write to positioning: audience, the problem, the differentiator, and any claims the user wants defended. Ask about voice, banned words or phrases, and topics to avoid, and write those to writing_preferences — content-drafting workflows read that section.

6. Save competitors

Turn the competitors and substitutes from step 5 into addCompetitors entries: one row per domain, with a short notes line on why they matter ("direct competitor, owns the comparison pages"). If the user is unsure who competes in search, find_serp_competitors on a handful of seed keywords will name them — confirm the list with the user before saving, and log the spend.

Competitors saved here are reused by competitive-landscape, competitor-analysis, and link-prospecting.

7. Inventory key assets

Ask for or discover:

  • Sitemap or important URL list
  • Current blog/resources/content library
  • Product/category/feature pages
  • Existing keyword lists
  • Current rank trackers
  • Backlink or PR assets
  • Linkable assets such as studies, templates, tools, datasets, calculators, or original opinions

Save the pages that actually matter with addKeyPages — money pages, topic hubs, and the linkable assets. This is a curated shortlist, not a site inventory: 10 to 30 URLs is normal. Give each one a role and, where known, the topic it targets.

Show full SKILL.md (495 more words)Show less
8. Connect Google Search Console

GSC is the richest first-party signal: existing impressions, near-ranking terms, cannibalization, and pages that already have search demand.

Preferred (hosted): connect it natively. On the project's Integrations page, connect Google Search Console and pull live data with get_search_console_performance. Once connected, the agent reads it directly in keyword-research and keyword-clustering — no manual files to maintain.

Fallback (self-hosted, or if the user prefers files): ask the user to export CSVs from Search Console into a local working folder (see step 9).

Recommended exports:

  • Queries: last 3 months and last 16 months if available
  • Pages: last 3 months and last 16 months if available
  • Query + page combinations when possible
  • Countries/devices if relevant

Ask them to drop files into gsc/ and use names like:

text
gsc/queries-last-3-months.csv
gsc/pages-last-3-months.csv
gsc/queries-last-16-months.csv
gsc/pages-last-16-months.csv
9. Set up a local folder only for file work

Project knowledge lives in OpenSEO, not on disk. A local folder is still useful for the things that are actually files: GSC CSV exports, crawls, drafts, briefs, and reports.

If the user wants one, suggest ~/SEO/<company-or-site>/ or a folder beside the website/content repo, with a structure like:

text
seo-workspace/
  gsc/
  drafts/
  reports/

Do not create folders unless the user asks, and do not duplicate goals, positioning, or competitors into a local file — that is what the project context is for.

10. Recommend first workflow

After intake, recommend one next OpenSEO workflow:

  • seo-audit: when the site already exists and the user wants to know what to fix or do first, especially if they are new to SEO
  • keyword-research: when the user needs ideas from seed topics
  • keyword-clustering: when they have keywords or GSC data to map to pages
  • competitive-landscape: when the market is unclear
  • competitor-analysis: when they know a competitor to study
  • link-prospecting: when they have a linkable asset or target page

Output format

Use a checklist with statuses:

StepStatusNotesNext action

Then summarize:

  • OpenSEO MCP/project status
  • Sites in scope
  • Goals
  • Known positioning
  • Competitors saved
  • Key pages saved
  • Search Console status and any local files
  • Sections still missing from project context
  • Recommended next workflow

Tell the user they can read and edit everything saved here on the project's Context page, in the sidebar under AI.

Guardrails

  • Keep setup lightweight. The user should feel oriented, not assigned homework.
  • Confirm facts with the user before writing them. Inferences from the site are fine to propose, but they get saved as agreed answers, not guesses.
  • Do not pretend a GSC CSV has been uploaded unless you can see it, and do not claim Search Console is connected unless get_search_console_performance confirms it (it returns a "not connected" message otherwise).
  • Keep project setup focused on setup and context unless the user asks for live research. If a step does spend credits, append a research log entry so other skills do not re-buy it.
  • If web search or scraping is used for positioning research, distinguish source evidence from inference.
  • Overwriting a section replaces it. When context already exists, merge the new answers into the existing prose instead of discarding it.

© every-app, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in .agents/skills/seo-project-setup of every-app/open-seo.

Open the folder on GitHubat commit deb4491

Compare with similar skills

SEO Project Setup next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

SEO Project Setup compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
SEO Project Setup this skillevery-app/open-seo23k—~2.3kAutomated safety check: PassMIT
SEO Project Setuppetera2c/simple-table2292 repos~1.5kAutomated safety check: PassMIT
Sec Business Desc AnalysisOctagonAI/skills127—~2.1kAutomated safety check: PassMIT
Competitor Monitorhanzili/hanzi-browse177—~2.8kAutomated safety check: PassCustom licence
Igce Builder Craiskillstore/marketplace430—~4.2kAutomated safety check: PassNone
Igce Builder Lh Tmaiskillstore/marketplace430—~4kAutomated safety check: PassNone

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Categories

Questions about SEO Project Setup

What does SEO Project Setup do?

Populate a project's shared OpenSEO context — site scope, goals, positioning, competitors, key pages, and preferences — plus MCP checks and Search Console intake. SEO Project Setup is an agent skill from every-app/open-seo. Populate a project's shared OpenSEO context — site scope, goals, positioning, competitors, key pages, and preferences — plus MCP checks and Search Console intake.

When should I use SEO Project Setup?

SEO Project Setup fits situations like: tasks that involve Positioning and messaging; tasks that involve MCP servers.

How do I install SEO Project Setup in Claude Code?

Run `npx skills add every-app/open-seo --skill seo-project-setup -a claude-code`. Or copy the skill folder (.agents/skills/seo-project-setup in every-app/open-seo) into .claude/skills/seo-project-setup in your project. Claude Code loads it when a task matches its description.

How do I install SEO Project Setup in Codex?

Run `npx skills add every-app/open-seo --skill seo-project-setup -a codex`. Or copy the skill folder (.agents/skills/seo-project-setup in every-app/open-seo) into .agents/skills/seo-project-setup in your project. Codex loads it when a task matches its description.

Can I use SEO Project Setup in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add every-app/open-seo --skill seo-project-setup -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/seo-project-setup, .gemini/skills/seo-project-setup, .github/skills/seo-project-setup and .opencode/skills/seo-project-setup in your project.

What does SEO Project Setup need to run?

SKILL.md names no scripts, command-line tools or credentials: SEO Project Setup is instructions for the agent only.

Does SEO Project Setup access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is SEO Project Setup safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does SEO Project Setup use?

SEO Project Setup is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does SEO Project Setup use?

About 2.3k tokens (SKILL.md is roughly 9.2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to SEO Project Setup?

Skills that share tags, products or a category with SEO Project Setup: SEO Project Setup (petera2c/simple-table, 229 stars), Sec Business Desc Analysis (OctagonAI/skills, 127 stars), Competitor Monitor (hanzili/hanzi-browse, 177 stars) and Igce Builder Cr (aiskillstore/marketplace, 430 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains SEO Project Setup?

every-app (a GitHub organization) maintains it in every-app/open-seo, which has 22,587 GitHub stars. The repository holds 19 skills in this directory. The repository was last updated on October 6, 2026.

Source: every-app/open-seo on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.