SKILLEMALL.ai
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CC link-building

When the user wants to earn backlinks or third-party mentions that lift rankings and AI citations. Also use when the user mentions 'link building,' 'linkbuilding,' 'backlinks,' 'get more backlinks,' 'link prospecting,' 'link gap,' 'competitor backlinks,' 'unlinked mentions,' 'link reclamation,' 'broken link building,' 'resource pages,' 'guest posting,' 'get into best-of lists,' 'listicle outreach,' 'domain rating,' 'referring domains,' 'anchor text,' or 'is this link vendor safe.' Use this whenever rankings stall on authority or someone wants off-site mentions that AI engines cite. Never recommend buying links that pass ranking credit: paid or exchanged placements get rel=sponsored or nofollow. For press coverage and journalist requests, see public-relations. For directories, see directory-submissions. For reviews, see referrals. For Reddit and communities, see community-marketing. For on-site AI citation work, see ai-seo.

The skillemall take

This skill handles backlink acquisition and third-party mentions: prospect opportunities, analyze competitors, reclaim lost links, coordinate guest content. Covers broken link building through listicle outreach.

Broken references found in files—some material is inaccessible. Scores show 72% content quality, 56% process execution. No critical errors detected, but testing on models didn't happen. Runs on all major platforms including Claude and Cursor.

Worth installing if you need structured prompts for link prospecting. Don't treat it as a complete reference though: missing files and low process scores suggest incomplete instructions.

coreyhaines31/marketingskills Agent Skills author: coreyhaines31 5 files body ≈ 3 209 tokens Open the sourcegithub.com↗ analyzed 6 d ago

When the user wants to earn backlinks or third-party mentions that lift rankings and AI citations.

As a process C 56/100 · Has gaps — References files that are not bundled: ../../tools/integrations/ahrefs.md, ../../tools/integrations/semrush.md, ../../tools/integrations/dataforseo.md

GeneratorSales and CRMResearchtype and topics are labelled automatically from the skill text
Runs in: Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) OpenClaw Goose OpenCode
JSON
Technical rating
C
89/100
safety, quality, tests
Safety 60%
100
Quality 40%
72
Run on models
none yet
Process rating
C
56/100
Has gaps
References files that are not bundled: ../../tools/integrations/ahrefs.md, ../../tools/integrations/semrush.md, ../../tools/integrations/dataforseo.md
Tools and files w 18
0
Inputs and preconditions w 11
0
Progress reporting w 2
0
the three weakest of ten parameters · all ten

How to improve

  1. The text references files that are not there: add them or drop the references.
For the model run — optional
  • A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.

Guard findings · 0

✓ No critical or high findings

Files scanned: 4. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: ../../tools/integrations/ahrefs.md
  • warning missing-ref reference to a missing file: ../../tools/integrations/semrush.md
  • warning missing-ref reference to a missing file: ../../tools/integrations/dataforseo.md
  • warning missing-ref reference to a missing file: ../../tools/integrations/exa.md
  • warning missing-ref reference to a missing file: ../../tools/integrations/firecrawl.md
  • warning missing-ref reference to a missing file: ../../tools/integrations/hunter.md
  • note edit-residue the text marks something as outdated (lines 13): check that old rules are not kept next to new ones — the full check reads the text for contradictions

Process rating: all ten parameters 56/100

Will not run. References files that are not bundled: ../../tools/integrations/ahrefs.md, ../../tools/integrations/semrush.md, ../../tools/integrations/dataforseo.md
  • 0Tools and files. 6 referenced file(s) missing: ../../tools/integrations/ahrefs.md, ../../tools/integrations/semrush.md, ../../tools/integrations/dataforseo.md
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Progress reporting. Says nothing while it works
  • 30Running it twice. 6 mutating operations with no state check
  • 50Failures and branches. 0 branches, has a failure section
  • 60Result and completion. Output format stated, no completion criterion
  • 100Steps. 47 steps
  • 100When it triggers. States when to use and when not to
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 3209 tokens
  • low 12 top-level sections: this looks like several domains in one skill
  • low No test case covers injection arriving through data

Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.

Quality signals

  • +5Description has no quoted example phrases that should trigger the skill
  • +4Description does not say when NOT to use the skill (false activations)
  • +3Description length 936: 120–800 characters recommended
  • +4No input/output examples
  • +1No license
  • +2Single-language instructions
  • +4Structure: 14 headings
  • +3Step-by-step instructions: 47 items
  • +3Output format is stated explicitly
  • +4Reference files are cited in the instructions (3 of 3)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 72.