mcpbeat

Champion Identifier

onewave-ai/champion-identifier

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.

4k tokens
context cost
the whole folder, loaded on every use
8
files
instructions only
0
copies elsewhere
how many repositories repackaged it
235
stars on the repo
on the repository, not the skill itself

Install

one command, takes just this skill from the repository 
npx skills add https://github.com/OneWave-AI/claude-skills --skill champion-identifier

The instruction itself

3 sections, as written by the author

Champion Identifier

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

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

How to use it

Copy the folder

Take onewave-ai/champion-identifier from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

The agent identifies a skill by the name field in its header. Two skills with the same name cannot sit side by side — one of them will be ignored.