Champion Identifier

SkillAI & models

Analyze LinkedIn profiles in target accounts to identify potential internal champions. Evaluates role, career path, mutual connections, interests, and suggests personalization approach. Use when you need to find who will champion your solution internally.

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the Champion Identifier skill

What this skill tells your AI

The instructions your AI receives, as published by onewave-ai/claude-skills in champion-identifier/SKILL.md and read by ahel’s review.

Find the internal champion most likely to advocate for the solution at a target account, using structured LinkedIn and account analysis.

Contents

  • references/scoring-framework.md - champion profile, six scoring dimensions, total-score bands, warning signs
  • references/output-template.md - the full Markdown report structure to produce
  • references/outreach-templates.md - warm-intro, forwardable, direct, and opening-line messages
  • references/meeting-prep.md - discovery and qualification questions, red flags
  • references/multi-threading.md - sequence, coverage map, DMU table, org-chart format
  • references/champion-development-plan.md - five-phase plan with success metrics
  • references/playbook.md - tips, best practices, trigger phrases, worked example

Workflow

  1. Gather inputs: the company, the solution being sold, and any known contacts or mutual connections. Ask for whatever is missing.
  2. Research the company and the department the solution touches: stage, recent news, likely pain points, decision-making style, and hiring signals.
  3. Identify 5-10 candidate individuals on LinkedIn within the relevant department and leadership chain.
  4. Score each candidate across the six dimensions (0-10 each, 0-60 total) per references/scoring-framework.md, citing concrete evidence for every score.
  5. Rank candidates best to worst, and flag anyone who is a blocker or coach rather than a champion using the warning signs.
  6. For the top candidates, choose an outreach path (warm intro vs. direct) and draft the message from references/outreach-templates.md, plus personalization hooks and meeting prep from references/meeting-prep.md.
  7. Build the multi-threading plan and account map (DMU table, org chart) per references/multi-threading.md.
  8. Assemble the full report following references/output-template.md, filling every field with researched specifics and no placeholders.
  9. Recommend next steps using the phased plan in references/champion-development-plan.md.

Signals

GitHub stars
291
Forks
46
Last commit
Aug 2026
Advanced
Catalog kind
skill
Gateway key
champion-identifier
Source
github.com/onewave-ai/claude-skills