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Champion Identifier

  • 243 installs
  • 237 repo stars
  • Updated July 15, 2026
  • onewave-ai/claude-skills

Identify and score potential internal champions within target accounts to accelerate enterprise sales cycles.

About

The champion-identifier analyzes account data, stakeholder interactions, and engagement signals to identify the most promising internal champions within prospect organizations. It scores potential champions based on influence, motivation, and accessibility with recommended engagement strategies for each. Sales teams can focus champion-building efforts on the stakeholders most likely to drive internal advocacy.

  • Claude Code skill
  • Agent productivity
  • Business workflow automation
  • Easy integration
  • Specialized domain expertise

Champion Identifier by the numbers

  • 243 all-time installs (skills.sh)
  • +4 installs in the week ending Aug 4, 2026 (Skillselion tracking)
  • Ranked #2,614 of 16,546 AI & Agent Building skills by installs in the Skillselion catalog
  • Data as of Aug 5, 2026 (Skillselion catalog sync)
npx skills add https://github.com/onewave-ai/claude-skills --skill champion-identifier

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Listed on Skillselion
Installs243
repo stars237
Last updatedJuly 15, 2026
Repositoryonewave-ai/claude-skills

What it does

Identify and score potential internal champions within target accounts to accelerate enterprise sales cycles.

Who is it for?

Enterprise sales reps building internal champions at target accounts

Skip if: Non-Claude projects

What you get

  • enhanced agent workflow

Files

SKILL.mdMarkdownGitHub ↗

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.

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