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.
Install
$ agentstack add skill-onewave-ai-claude-skills-champion-identifier ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Links to your public security report.[](https://agentstack.voostack.com/security/report/skill-onewave-ai-claude-skills-champion-identifier) Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
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.
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: OneWave-AI
- Source: OneWave-AI/claude-skills
- License: MIT
- Homepage: https://www.onewave-ai.com
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.