sales-pipeline-coverage-modeling

Models how much pipeline a team needs relative to quota - coverage ratios derived from win rates (raw...

What this skill does for you

Models how much pipeline a team needs relative to quota - coverage ratios derived from win rates (raw multiplier, stage-weighted, conversion-inversion), segment-level coverage targets, in-quarter timing and the point of no return, seasonality indexing, and pipeline-gap math that turns a ratio into new-pipeline-required. A macro modeling exercise for sales leadership and RevOps, covering B2B and high-velocity/B2C motions. Use whenever the user mentions pipeline coverage, 3x pipeline, a pipeline gap, forecast shortfall, or "we missed quota with 4x coverage", even without the word coverage. Do NOT use for deriving the quota itself (mbfinotti/sales-skills@sales-quota-setting) or inspecting one deal (mbfinotti/sales-skills@deal-red-flags).

Quoted from the skill description in the pinned source

Who made it

Publishermbfinotti

Repositorysales-skills

Installs1,100as 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 sales-pipeline-coverage-modeling skill from mbfinotti/sales-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.

Scanner	Date	Result
Edge static checks	2026-09-27	Pass
Cisco skill-scanner	2026-09-27	Pass
Semgrep Edge rules	2026-09-27	Pass

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: 1ef68881b2ed853fb1f02272b57dc71dd375677f. 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: 1ef68881b2ed853fb1f02272b57dc71dd375677f. 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: 1ef68881b2ed853fb1f02272b57dc71dd375677f. Raw findings: . Counted findings: .

Source and licence

Repository: https://github.com/mbfinotti/sales-skills
Pinned skill file: View source at revision
Revision: 1ef68881b2ed853fb1f02272b57dc71dd375677f
Package hash: sha256:3eda865951e85c539c65545ffaea25f76d7699df1671a8dfb6e45e032df2e428
Licence: MIT