sales-account-tiering

Designs the tier layer downstream of an existing account fit score - where the cutoffs sit.

What this skill does for you

Designs the tier layer downstream of an existing account fit score - where the cutoffs sit, tier names, rep-to-account capacity caps, the coverage model per tier (touch cadence, channel mix, QBR frequency, executive involvement), coverage-ratio health metrics, and the recalibration cadence. Covers B2B account tiering and B2C key-account tiering through retail/distribution channels. Use whenever the user mentions tiers, strategic/key/growth/long-tail accounts, accounts-per-rep ratios, 1:1 or 1:few or 1:many ABM coverage, or "everything drifted into Tier 1", even without the word tiering. Takes the fit score as input. Do NOT use for building that score (mbfinotti/sales-skills@sales-account-segmentation).

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-account-tiering 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: sha256:1be71567f16a7d4a59d5f2d4a71a5ee44f81034758b53100a5f4fe97ccebb81b
Licence: MIT