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Catalog/Link Building/Link-Building Campaign Planner

Link-Building Campaign Planner

Plans a link campaign from your linkable assets and competitors' backlink exports: typed, scored prospects, a pitch per segment and a tracking sheet.

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$ npx skills add https://seoskills.sh --skill link-building-campaign-planner
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About this skill

Link-Building Campaign Planner is a Link Building skill for AI agents, published in the seoskills.sh catalog. Reach for it when your work involves off-page signals, digital PR, and backlink outreach that holds up. Install it with one command and it runs inside your own agent, so the work happens in your workflow, not a separate SEO tool.

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SKILL.md

Link-Building Campaign Planner

AGENT ROLE: Autonomous link-building strategist. Inventory the site's assets, turn competitor backlinks into typed and scored prospects, emit the JSON in references/output.schema.json, then write the campaign: which asset, which prospects, which pitch, in what order.

OBJECTIVE

Earn editorial links that a competitor already proved are available, with a reason for each site to link, instead of mass outreach with nothing to offer.

INPUTS

  • site (REQUIRED via --site): the site to build links to.
  • competitor_links (OPTIONAL but needed for prospects, via --competitor-links, one file per competitor): a backlink export (CSV or TSV) from Ahrefs, Semrush, Moz, Majestic or Search Console's links report. Columns are recognized by name: referring page URL or domain, title, anchor, authority (DR, Authority Score, DA, Trust Flow), nofollow and first seen.
  • own_links (OPTIONAL via --own-links): the site's own backlink export, so domains already linking are skipped.
  • topic (OPTIONAL via --topic, repeatable): topic words for relevance scoring.
  • max_pages (OPTIONAL, default 150): site pages to read for assets.
  • out (OPTIONAL via --out): where to write the tracking sheet (CSV).

DATA SOURCES

  1. The site's sitemap and pages (no key), fetched as seoskills-link-campaign-planner/1.0. URLs that look like tools, research, guides, templates or glossaries are read first.
  2. The backlink exports the user provides. No backlink API is called.

EXPECTED TOOL CALLS

  • Run scripts/link_campaign.py --site https://example.com --competitor-links a.csv --competitor-links b.csv [--own-links ours.csv] [--topic "..."] [--out prospects.csv].
  • Up to max_pages page fetches, 4 at a time.

PROCEDURE (deterministic)

STEP 1: ASSETS. Label each page by its title and URL, with evidence required:

  • tool: calculator, checker or generator, and the page has form inputs.
  • original data: survey, study, statistics or benchmark, with 8 or more figures and 800 or more words.
  • template or checklist, visual, glossary or definition.
  • in-depth guide: guide or how-to, with 1,200 or more words. Score linkability out of 100 from the type, depth, figures, tables and sections, and attach the tactic that fits each type. STEP 2: PROSPECTS. Merge the exports by referring domain.
  • Skip the site itself, domains already linking (from --own-links) and spam patterns (gambling, pills, adult and throwaway domains).
  • Keep the strongest authority value, whether any link is followed, the newest first-seen date, and which competitors each domain links to. STEP 3: TYPE each prospect from its referring page: community, education or government, guest-post site, roundup, resource page, directory, then news or magazine (by domain name or a dated URL), else blog post. Each type has its own tactic. STEP 4: SCORE out of 100 and rank:
  • authority relative to the strongest prospect: 30;
  • linking to several competitors: 25;
  • topic relevance: 25;
  • a followed link: 10;
  • a link first seen within a year: 10;
  • the total weighted by how well the type tends to work (resource pages and news highest, directories lowest). Domains linking to two or more competitors are the gap to close first. STEP 5: MATCH an asset to each prospect: tools, templates and guides for resource pages, roundups and directories; data and visuals for news; guides and definitions for .edu and .gov pages. STEP 6: WRITE THE CAMPAIGN:
  • The weak spot to fix first: no assets, or few referring domains.
  • The two or three assets to promote, or the one to create when none qualifies.
  • The prospect segments, with the first 20 targets.
  • A pitch per segment that offers value.
  • A three-touch sequence (pitch, a follow-up after about five days, a last note a week later), tracked in the sheet.

RATE LIMITS & ERROR HANDLING

  • Four page requests at a time, 15-second timeout. Pages that fail are skipped.
  • A bad --site STOPs INPUT_INVALID; an unreadable export STOPs FILE_UNREADABLE. An export without a recognizable referring URL or domain column is noted, not fatal.

MISSING / INSUFFICIENT DATA

  • Without competitor exports there are no prospects. Say so and ask for them (most tools export "referring pages" or "backlinks" as CSV).
  • Asset and prospect types come from titles, URLs and page structure, so review the top items before outreach.
  • Authority scales differ between tools (DR, Authority Score, DA). Rank within one tool's numbers where possible.
  • Never buy links, swap links or use private blog networks: Google's spam policies treat links made to manipulate rankings as link spam. Paid placements must be marked rel="sponsored" (or nofollow).

OUTPUT

One JSON object per references/output.schema.json, the tracking sheet when --out is set, and the written campaign plan.

FILES

  • scripts/link_campaign.py: asset inventory, export parsing, prospect typing, gap and scoring, asset matching and the tracking sheet.
  • references/output.schema.json: output contract.

Not using the CLI? Copy the SKILL.md and paste it straight into ChatGPT, Claude, or any agent.

Install into your agent

$ npx skills add https://seoskills.sh --skill link-building-campaign-planner -a claude-code

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