win-loss-analysis

win-loss-analysis is a Battlecards & competitive selling skill for AI agents, published by growthack88 in the growth-marketing-os repository on GitHub. Skillspace rates win-loss-analysis D (69/100) and it passed the safety scan; a judge model has also reviewed it.

Win/loss analysis for B2B SaaS. Analyzes sales call transcripts across 6 dimensions (product, messaging, GTM/sales, pricing, competition, customer context) to extract why deals are won, lost, retained, or churned. Produces aggregate patterns with verbatim-quote evidence, frequency counts, confidence levels, and strategic recommendations. Includes process steps, output template, quality checklist, extraction patterns, and a worked 5-transcript example.

Grade
D
Quality
69 / 100
Safety
Passed
GitHub stars
56

Placed #2 of 3 when judged against its near-duplicates in Battlecards & competitive selling.

Our two independent classifiers differ on this skill's category, so treat the placement as provisional.

This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.

Our review

Architecture
78 / 100
Maturity
Structured: ships references or scripts
Security scan
No issues found
License
MIT
Adoption
Adopted by 0 other repositories, in 0 collections
Scope
Portable: works in any project. General B2B sales win/loss analysis methodology

Judge review

Placed #2 of 3 when judged against its near-duplicates in Battlecards & competitive selling.

  • Trigger9090
  • Instructions7878
  • Specificity8282
  • Safety8686
  • Disclosure8888
  • Maintenance8282
Excellent invoke and do-not-invoke disambiguation with transparent license attribution, but the actual step-by-step detail is deferred out to a reference file.

Not checked yet

  • No blind task eval yet
  • Sibling files (scripts, references) not fetched; security scan covers SKILL.md only

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