Agent skill · marketing growth · 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.

Why this skill is useful

Provides a structured approach to identifying and engaging internal champions, including scoring frameworks and outreach templates that the AI wouldn't reliably generate on its own.

What it needs

About 1k tokens when loaded. Last updated 2026-07-15. 242 stars on the source repository.

What this skill does

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 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.

How to use it

Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:

@skills onewave-ai/champion-identifier

View the source on GitHub

Browse the @skills marketplace