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Skill evidence / revenue-funnel
Skill profile

revenue-funnel

Design a company's revenue funnel model from scratch.

What this skill does for you

Design a company's revenue funnel model from scratch, at the macro level - the stage set, the unit of analysis (lead, buying group, account), the model purpose (process vs planning vs forecast), the cohort-based conversion assumptions behind the plan, and the ownership handoffs between marketing, sales, and CS. Use whenever the user mentions funnel design, funnel stages, a funnel model, conversion rate assumptions, a bowtie model, a demand waterfall, MQL to SQL to opportunity definitions, or marketing-sales handoff design - even if they never say "funnel". Covers B2B and high-consideration B2C. Do NOT use for auditing an existing pipeline's stage definitions - use mbfinotti/revops-skills@pipeline-stage-definition-audit instead.

Quoted from the skill description in the pinned source

Who made it

Publishermbfinotti
Repositoryrevops-skills
Installs875as of Sep 27, 2026

Use it with Edge

Set up Edge for me: read getedge.cc/SKILL.md and follow it. Then use Edge to load the revenue-funnel skill from mbfinotti/revops-skills.

Paste it into Claude, ChatGPT, Codex or Cursor.

Or read the skill source first.

Security evidence

Security state at 2026-09-30: reviewed. State definitions. This records static evidence for this revision; live load eligibility is checked again.

3 static scans, 0 counted findings. The listed scanners recorded the results shown for this package revision.

ScannerDateResultFindings
Edge static checks2026-09-27Pass0
Cisco skill-scanner2026-09-27Pass0
Semgrep Edge rules2026-09-27Pass0

Static scans check the code, not how well the skill works.

Scanner scope, raw findings and mirrored provider records

Edge static checks (Edge-run): edge-static/1.0.1. Scope: Static patterns for remote execution, credentials with network sends, obfuscation, prompt overrides, hidden Unicode, binaries and persistence. Revision: 2dedb3934ca74a1572d70e2a3ce8b96d2cbde1ca. Raw findings: . Counted findings: .

Cisco skill-scanner (Edge-run): cisco-skill-scanner/2.1.0. Scope: Local static, YARA, pipeline and behavioral analyzers; no LLM or AI Defense analysis. Revision: 2dedb3934ca74a1572d70e2a3ce8b96d2cbde1ca. Raw findings: . Counted findings: .

Semgrep Edge rules (Edge-run): semgrep/1.178.0+edge-rules.c15016a36fd3+offline-v1. Scope: Six Edge-authored static rules with Semgrep CE; offline execution and metrics disabled. Semgrep-maintained rules excluded. Revision: 2dedb3934ca74a1572d70e2a3ce8b96d2cbde1ca. Raw findings: . Counted findings: .

Source and licence

Repository
https://github.com/mbfinotti/revops-skills
Pinned skill file
View source at revision
Revision
2dedb3934ca74a1572d70e2a3ce8b96d2cbde1ca
Package hash
sha256:6380baf8360c788f8f2e99c53daa57aa5af5b95d3496da551be41877718f7366
Licence
MIT