SKILL verified Apache-2.0 Self-run

Win Loss Dataset

Name: Win Loss Dataset
Availability: InStock
Author: gtmagents

skill-gtmagents-gtm-agents-win-loss-dataset · by gtmagents

Structure for capturing qualitative + quantitative win/loss insights

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Install

$ agentstack add skill-gtmagents-gtm-agents-win-loss-dataset

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No 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.

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Reliability & compatibility

✓ Security review passed

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Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

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About

Win/Loss Dataset Skill

When to Use

Running structured win/loss programs.
Aligning qualitative interviews with CRM metrics.
Sharing insights across product, sales, pricing, and marketing teams.

Framework

Data Model – deal metadata (segment, region, product, stage), outcome, competitor, primary driver, secondary driver, confidence.
Qualitative Tags – categories for pricing, product gaps, implementation, support, brand, relationships.
Quotes & Evidence – key quotes, call clips, doc references with consent + access controls.
Analytics Layer – dashboards for driver frequency, trendlines, influence on win rate, revenue impact.
Action Tracking – link insights to backlog items, status, owner, and due date.

Templates

Interview note template with pre-defined tags + drop-downs.
Dataset schema (CSV/Sheet/BI) with validated fields.
Dashboard layout for driver trends + revenue impact.

Tips

Keep raw qualitative notes but publish sanitized, anonymized snippets for broader sharing.
Standardize driver taxonomy every quarter to avoid drift.
Pair with run-win-loss-program command for automatic dataset updates.

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Author: gtmagents
Source: gtmagents/gtm-agents
License: Apache-2.0

Install and usage instructions live in the source repository linked above.

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Versions

v0.1.0 Imported from the upstream source.