win-loss-analysis skillA
This file is byte-identical to the first copy the registry indexed. Same content hash, same audit grade.
win-loss-analysis is agent-read markdown (skill) from naveedharri/benai-skills: Win/loss pattern analysis for B2B sales. Pulls deal data from ANY CRM (Attio, HubSpot, Salesforce, Pipedrive, etc.), enriches with emails, call transcripts (Fireflies/Gong), and web research, then analyzes won vs lost deal patterns to build an ideal prospect persona and strategy recommendations as a .docx report. MANDATORY TRIGGERS: "win/loss analysis", "won vs lost", "deal analysis", "sales patterns", "pipeline analysis", "prospect persona", "ICP from deals", "why deals are lost", "deal pattern.
Indexed from public GitHub and served as immutable, content-addressed versions. Install it pinned to an exact SHA-256 with the mdr CLI, and every file is verified against the hash recorded here before it reaches your agent. The deterministic audit below grades the latest version, and the same file always earns the same grade.
What the file says
# Win/Loss Pattern Analysis Build a data-driven understanding of why deals close and why they don't, then deliver a comprehensive persona and strategy document as a professional .docx report. **The report includes:** Executive summary with metrics, won/lost case studies with evidence from calls and emails, side-by-side pattern comparison, a complete winning prospect persona, red flags and disqualification criteria, strategic recommendations, and data appendix. ## Phase 0: Discovery Questions Use `AskUserQuestion` (3-4 questions max) to gather: 1. **CRM & Pipeline**: Which CRM, and the pipeline/list name containing deals? 2. **Stage Labels**: Exact names for Won and Lost stages (e.g., "Delivered"/"Lost", "Closed Won"/"Closed Lost") 3. **Business Context**: 2-3 sentences on what the company sells and to whom 4. **Output Preferences**: Full analysis or specific questions to answer? Confirm understanding in one sentence before proceeding. ## Phase 1: CRM Data Extraction **Goal**: Clean Won and Lost deal lists with contact details, minimizing API calls. ### Strategy 1. **Filter at API level**, only request Won/Lost stage records, never pull all then filter locally …
Read the whole file at its exact version.
How to install
mdr add naveedharri/benai-skills/win-loss-analysis@git:20260916.1a4a64amdr add naveedharri/benai-skills/win-loss-analysis@sha256:9d1622785ca01f5ePin to a label to follow the author's releases, or to a sha256 to freeze the exact bytes forever. Either way the resolved hash is written to mdr.lock, and mdr install reproduces it on any machine.
[](https://markdownregistry.com/a/art_dh2o7wewchuk5pem)
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Versions
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20260916.1a4a64a latest | 2026-09-16 | 1a4a64a | 12,986 B | A | view · diff |
| git:20260723.0af5e11 | 2026-07-23 | 0af5e11 | 12,954 B | A | view |
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (12986 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
naveedharri/benai-skills · 65 stars · license MIT · pushed 2026-09-16 · branch develop
API
GET https://markdownregistry.com/api/v1/artifacts/art_dh2o7wewchuk5pem GET https://markdownregistry.com/api/v1/resolve?ref=naveedharri/benai-skills/win-loss-analysis GET https://markdownregistry.com/api/v1/blob/9d1622785ca01f5e20d2523cf22182a1a93c16871d3b84b736a0b8b3d46aec6a
Your agent does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
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