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Win-loss analysis dataset v1.0.0
Use this resource to structure win and loss data collection with consistent tagging
New
- 339 downloads
- 234 likes
- 164 saves
Free
Install with the CLI
In a terminal, from the folder you want:
npx --yes palatekit@latest install win-loss-analysis-datasetWith no option, the skill goes to ~/.agents/skills/; add --agent claude-code (or codex, cursor…) to target an agent.
First time: connect the CLI with
npx --yes palatekit@latest loginThe agent defines the data model (segment, region, product, stage, outcome, competitor, primary and secondary driver, confidence), qualitative tags (pricing, product gaps, implementation, support, brand, relationships) and consented quote handling. You get a dataset model and analysis tables for product, sales and pricing teams.
Mostly picked by
Updated November 2, 2026
Previews
Details
- Install guides
- Generates with
- Your agent's model
- Licence
- Apache-2.0
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What you get
- SKILL.md: data model and qualitative tags
- SKILL.md: consented quotes, evidence handling and analytics layer
Good fit for
- You run a structured interview program after each deal
- You want to link interview findings to CRM metrics
Not for
Tags
- win-loss
- data
- tagging
- competition
About
You say
“Structure our win-loss base for the quarter: fifteen deals, primary driver, competitor and a buyer quote.”
Skill published by gtmagents under the Apache-2.0 license, delivered in its original version.
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How to use it
- Install the skill in your agent's skills folder
- Ask your agent to structure win and loss data collection with consistent tagging
- Review and adjust the result
Content preview
Files
- LICENSE11.1 KB
- NOTICE-PALATEKIT.md0.5 KB
- SKILL.md1.3 KB
Origin and licence
Listed unmodified
- Author
- gtmagents
- Source
- github.com/gtmagents/gtm-agents/tree/78e0419f4440bcb43bc80127e174ecf5adef1753/plugins/competitive-intelligence/skills/win-loss-dataset
- Licence
- Apache-2.0
Notice
« win-loss-dataset » (gtmagents, Apache-2.0) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.
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