champion-identifier

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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.

AI & Automation 307 stars 53 forks Updated 3 days ago MIT

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Quality Score: 90/100

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Skill Content

# 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 ...

Details

Author
OneWave-AI
Repository
OneWave-AI/claude-skills
Created
11 months ago
Last Updated
3 days ago
Language
Python
License
MIT

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