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Territory Optimization Skill · gtmagents | DecimalAI

sales supportby gtmagents

Territory Optimization Skill

gtmagents/territory-optimization

Source gtmagents/gtm-agents ↗License Apache-2.0

Use to score territory scenarios for fairness, whitespace, and productivity.

SkillScore82Maintained

Automatic

Sales & GTM pack

Last verified 8/23/2026

What it changes

Passed 18 of 22 test cases with the skill, and 11 of 22 without it.

Without skill50%

With skill82%

Checks it passed that the model alone missed

Calculates whitespace percentage per patch
Assesses impact against Rules of Engagement (ROE) policy
Includes propensity modeling alongside raw account revenue

and 8 more in the full report

7 fixed11 passed either way4 still failing0 broke

Pass-rate lift: +32 pp
Tokens: -10%
Agent turns: 0%
Response time: -17%

Model gemini-3.6-flashMeasured 8/23/2026v118 of 22 cases passed with skill

Tokens, turns and time describe resource use, not a dollar price.

Use this skill

Save it into your project's skills folder. Claude Code picks it up in its next session.

curl -fsSL --create-dirs -o .claude/skills/gtmagents-territory-optimization/SKILL.md https://app.decimal.ai/s/gtmagents-territory-optimization/SKILL.md

Want it pinned and updatable? pip install "decimalai>=0.15", then decimalai skills add gtmagents-territory-optimization, and start Claude Code with claude --plugin-dir "$(git rev-parse --show-toplevel)/.agents"

1 · One-time — install the CLI (docs ↗)

pip install "decimalai>=0.15"

2 · Get the skill — writes .agents/skills/gtmagents-territory-optimization/ and pins it in .decimal/skills.lock

decimalai skills add gtmagents-territory-optimization

No CLI? Get the same file — curl · raw file

curl -fsSL --create-dirs -o .claude/skills/gtmagents-territory-optimization/SKILL.md https://app.decimal.ai/s/gtmagents-territory-optimization/SKILL.md

Raw file: /s/gtmagents-territory-optimization/SKILL.md ↗ · machine-readable summary at /s/gtmagents-territory-optimization.json ↗

Safety checks: 3 of 3 passed

Code scan CleanIntent PassedContent Clean

See it in action

One of 7 test cases the skill fixed. Same model, same prompt, with and without the skill.

1 of 7

Prompt

We need to split our growing commercial account database into 12 new patches for the upcoming quarter without causing rep friction. Can you generate a complete territory design recommendation that evaluates different segmentation approaches, measures target revenue and workload fairness across patches, checks CRM ownership rules, and includes a change management rollout list for enablement?

What was checked, without and with the skill
Checked	Without skill	With skill
Calculates the Gini coefficient to measure territory fairness	Missed	Passed
Calculates whitespace percentage per patch	Missed	Passed
Includes a change management checklist for RevOps and Enablement	Missed	Passed

case-02 · gemini-3.6-flash · 8/23/2026 · answers are capped and redacted

What's inside

The instructions your model reads when the skill loads.

SKILL.md25 linessingle file

Territory Optimization Skill

When to Use

Designing new coverage models or rebalancing routes.
Evaluating fairness metrics during carve-up reviews.
Preparing leadership readouts on territory effectiveness.

Framework

Input Prep – normalize account TAM, ARR, propensity, and travel constraints.
Scenario Modeling – generate multiple carve-ups (geo, industry, hybrid) with scoring weights.
Fairness Scoring – calculate Gini, whitespace %, and attainment probability per rep.
Operational Check – validate CRM ownership, routing rules, and ROE impact.
Recommendation – surface top options with rationale and risks.

Templates

Territory scoring matrix (scenario vs KPIs).
Leadership readout deck outline.
Change management checklist for RevOps + Enablement.

Tips

Keep scoring weights transparent to avoid stakeholder confusion.
Include travel/coverage constraints early to prevent downstream rework.
Pair with roe-governance to confirm routing + escalation rules.

Track record

Benchmark

18 / 22

test cases passed, vs 11 / 22 without

Adoption

Users: 2
Times used: 48

Safety and source details

SkillSafety

✓ 3 of 3 passed

Code scan15 of 15 checks clean

0 critical · 0 warning · 0 info — scanner v4 — 8/3/2026

View 15 scanner checks

live_secretremote_code_executionreverse_shelldata_exfiltrationssrf_metadataagent_snoopinganti_refusaldestructive_commandsobfuscated_unicodeunicode_homoglyphopaque_blobsuspicious_urltool_overreachtrigger_abuseprompt_injection_phrasing

IntentSafe

LLM judge · does the skill do what it claims

ContentClean

LLM judge · policy & harmful-content review

Source

Imported

gtmagents / gtm-agents

plugins/sales-operations/skills/territory-optimization/SKILL.md

View on GitHub ↗

License Apache-2.0Imported 8/3/2026Version v1

More skills from the same source and nearby in the registry, with their headline benchmark lift.

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See it in action

What's inside

Territory Optimization Skill

When to Use

Framework

Templates

Tips

Track record

Benchmark

Adoption

SkillSafety

Source

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