Link Prospect Qualification

SkillDev tools

Qualify, score, filter, and prioritize link-building prospects by relevance, trust, editorial quality, authority, outreach fit, spam risk, and asset readiness. Use when reviewing raw URL lists, deciding which sites are worth outreach, auditing link target quality, segmenting prospects, or rejecting risky link opportunities.

Use Link Prospect Qualification in Claude, ChatGPT or Ahel Desktop

Free. Sign in, add Link Prospect Qualification and connect your AI. About a minute.

Also: Claude Code · Cursor · Codex

Then ask your AI: use the Link Prospect Qualification skill

Details

Instructions available. Your AI can read the instructions. Execution depends on the setup they require.

Add Ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.

Link Prospect QualificationStart free

What this skill tells your AI

The instructions your AI receives, as published by hashgraph-online/awesome-codex-plugins in plugins/LVTD-LLC/skills/skills/link-prospect-qualification/SKILL.md and read by Ahel’s review.

Use this skill to turn raw prospect URLs into prioritized outreach segments with evidence, scores, rejection reasons, and next actions.

This skill is derived from Garrett French and Eric Ward's Ultimate Guide to Link Building and uses transformed guidance with durable book-topic references. Do not copy book prose into user outputs.

Quick Start

  1. Use the Contents table below to choose the smallest useful reference set.
  2. Use workflows/qualify-link-prospects.md for a full qualification pass.
  3. Apply hard reject gates before scoring.
  4. Use automated signals to triage, then manually inspect shortlisted pages.
  5. Return priority, standard, nurture, review, and reject buckets with evidence.

Default Output

When asked to qualify prospects, return:

  1. Summary - reviewed, priority, standard, nurture, manual review, rejected.
  2. Priority prospects - URL, type, score, fit, qualification reason, pitch angle, contact path.
  3. Review/nurture prospects - open questions and needed checks.
  4. Rejected prospects - reject reason and evidence.
  5. Rubric notes - relevance, trust, authority, editorial quality, spam risk, and asset readiness.

Contents

NeedStart Here
Understand qualification conceptsreferences/core/knowledge.md
Apply scoring rulesreferences/core/rules.md
See scoring examplesreferences/core/examples.md
Run qualificationworkflows/qualify-link-prospects.md

Core Posture

  • Metrics triage prospects; human relevance and intent decide.
  • Trust comes from people and institutions serving users, not from scores alone.
  • Spam risk can override attractive authority metrics.
  • A target asset should be internally connected and shareable before outreach.

Signals

GitHub stars
1k
Forks
316
Last commit
Oct 2026
Advanced
Item type
skill
Key
link-prospect-qualification
Source
github.com/hashgraph-online/awesome-codex-plugins