win-loss-analysis

win-loss-analysis is a Battlecards & competitive selling skill for AI agents, published by mohitagw15856 in the pm-claude-skills repository on GitHub. Skillspace rates win-loss-analysis C (74/100) and it passed the safety scan; a judge model has also reviewed it.

Analyze why deals are won and lost and turn it into an action plan. Use when asked to run a win/loss analysis, review closed-won and closed-lost deals, understand why the team is losing to a competitor, or summarize sales feedback into patterns. Produces a structured win/loss report with themes, win/loss rates by segment and competitor, representative quotes, and prioritized actions for product, marketing, and sales.

Grade
C
Quality
74 / 100
Safety
Passed
GitHub stars
1,187

Placed #3 of 6 in the judged category final for 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
99 / 100
Maturity
Structured: ships references or scripts
Security scan
No issues found
License
MIT
Adoption
Adopted by 0 other repositories, in 1 collections
Scope
Portable: works in any project. Generic win/loss sales analysis method; no product or repo tied.

Judge review

Placed #3 of 6 in the judged category final for Battlecards & competitive selling.

  • Trigger8585
  • Instructions8888
  • Specificity9090
  • Safety8888
  • Disclosure7676
  • Maintenance6565
Sharp anti-pattern list and a literal fill-in report template, but a standalone skill with no cross-referencing to the rest of a battlecard toolkit.
Sharpest anti-pattern list of the three, covering segment-averaging traps and quote fabrication, with a literal fill-in report template, but stands alone with no ecosystem cross-referencing.

Not checked yet

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

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