link-building-playbooks
Skill0 starsChanged 40 days agoMITView on GitHub
Run white-hat link-building playbooks end to end — broken link replacement, link reclamation, unlinked brand mentions, outdated statistics, resource pages, competitor link intersect and AI-citation listicle outreach — from prospecting with SEOsorted's backlink data to ready-to-send drafts. Use when the user asks for link building strategies, how to get backlinks, outreach campaigns, broken link building, or unlinked mentions.
In this repository36 other files it gives its agents.
- ai-citation-outreachSkill
- ai-crawler-analyticsSkill
- ai-visibility-trackerSkill
- backlink-outreachSkill
- backlinksSkill
- brand-voice-setupSkill
- bulk-content-runSkill
- cannibalization-checkSkill
- comparison-pagesSkill
- competitor-analysisSkill
- content-calendarSkill
- content-refreshSkill
- domain-authority-checkSkill
- find-questionsSkill
- keyword-researchSkill
- link-reclamationSkill
- llms-txt-generatorSkill
- page-seo-auditSkill
- publish-to-cmsSkill
- seo-auditSkill
- seo-master-planSkill
- seo-reportSkill
- seosortedSkill
- serp-analysisSkill
- site-settingsSkill
- statistics-pageSkill
- technical-audit-reportSkill
- technical-seo-checkSkill
- topic-clustersSkill
- update-and-republishSkill
- write-articleSkill
- youtube-channel-auditSkill
- youtube-citation-strategySkill
- youtube-creator-outreachSkill
- youtube-keyword-researchSkill
- youtube-outliersSkill
The file
We split this skill into the rules it gives an agent
3 rules. About 0 are common, 0 are distinctive, and 3 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈0
Distinctive · estimate
This author's own choices. Worth a look.
3
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 17
Search the web for the brand name excluding the user's own domain.
- Very specific: line 23
Search "<topic>" inurl:resources and "<topic>" "helpful links".
- Very specific: line 33
Check prospect strength with analyze_any_domain operation: "authority" (domains, up to 50.
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Link-building playbooks
Pick one playbook per campaign. Each ends with a short prospect list and a drafted email per prospect, written with build_backlinks operation: "draft_pitch" (free; it only drafts, nothing is sent).
1. Link reclamation (start here)
build_backlinks operation: "reclaim" — links already pointing at dead pages on the user's site, with a suggested live page to redirect to. Fixing these needs no outreach. See link-reclamation.
2. Broken link replacement
Find a niche resource page, then audit_any_page operation: "links" with its url to flag broken outbound links (free). Where a dead link covers a topic the user has a page for, draft with pitch_type: "broken_link" and put the dead URL in notes.
3. Unlinked mentions
Search the web for the brand name excluding the user's own domain; track_ai_search_visibility operation: "citations" also lists cited pages that name the brand and whether they link. For pages that mention without linking, draft with pitch_type: "unlinked_mention". Highest reply rate of any playbook.
4. Outdated statistics
Find well-linked articles quoting old numbers in the niche. Create or point to a page with current, sourced figures (statistics-page) and draft with pitch_type: "citation_update".
5. Resource pages
Search "<topic>" inurl:resources and "<topic>" "helpful links". Pitch the single best page for that list (our_page_url), not the homepage, with pitch_type: "resource".
6. Competitor link intersect
build_backlinks operation: "intersect" with 2–5 competitors — sites linking to several competitors but not the user. See backlink-outreach.
7. AI-citation listicles
find_backlink_prospects (see ai-citation-outreach) — pages AI engines cite are the most valuable links to earn now.
For every playbook
- Check prospect strength with
analyze_any_domainoperation: "authority"(domains, up to 50; 1 keyword lookup credit per 10 domains) and drop weak or spammy sites. - Prospect table: page, Domain Rating, why it fits, contact (from public pages only).
- One specific email per prospect:
draft_pitchwithprospect,pitch_type,contact_nameif known,our_page_urlandnotes. Edit it so it references the exact page and fix. Under 120 words. - The user sends the emails. Never send outreach or claim it was sent.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

