win-loss-decoder skillA
win-loss-decoder is agent-read markdown (skill) from varunk130/ai-gtm-skill-library: Turns closed-won and closed-lost deals into ranked, evidence-backed reasons (not rep-selected dropdowns) and routes each pattern to the team that can fix it. Use when: win loss analysis, why did we lose, why do we win, closed lost review, loss reasons, churned deals, competitive losses, buyer interviews..
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 Decoder (SIGNAL Framework) CRM loss reasons are picked by the rep in ten seconds, and "price" wins every time. Win-Loss Decoder rebuilds the reason from what the buyer said and did, codes it against a fixed taxonomy, and ranks patterns by revenue so product, marketing, and sales each get the fixes that are theirs. ## Core Principle **The buyer's words decide the code.** A reason without a quote or artifact from the buyer is logged as "unknown", not guessed. ## The SIGNAL Framework | Letter | Step | The Question | |---|---|---| | **S** | Sample | Which deals, and is the sample balanced across wins, losses, segments, and reps? | | **I** | Interview | What did the buyer say in a 20-minute conversation after the decision? | | **G** | Group | Which taxonomy code does each reason map to? | | **N** | Number | How much ARR sits behind each code, for wins and for losses? | | **A** | Assign | Which team owns the fix for each code? | | **L** | Loop | Did the fix change the rate of that code next quarter? | ## Reason Taxonomy | Code | Covers | Default owner | |---|---|---| | VALUE | Buyer could not see enough return or urgency | Marketing | …
Read the whole file at its exact version.
How to install
mdr add varunk130/ai-gtm-skill-library/win-loss-decoder@git:20260919.138f81fmdr add varunk130/ai-gtm-skill-library/win-loss-decoder@sha256:cd890d0ef0932d2ePin 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_dd4rwempe2c6wiaq)
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Versions
Audit of the latest version
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- pass: Frontmatter declares a name
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- pass: Size between 200 bytes and 200 KB (3304 bytes)
- pass: No zero-width or bidi control characters
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- pass: No link to an exfiltration or paste host
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- 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
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Source
varunk130/ai-gtm-skill-library · 6 stars · license MIT · pushed 2026-09-19 · branch master
API
GET https://markdownregistry.com/api/v1/artifacts/art_dd4rwempe2c6wiaq GET https://markdownregistry.com/api/v1/resolve?ref=varunk130/ai-gtm-skill-library/win-loss-decoder GET https://markdownregistry.com/api/v1/blob/cd890d0ef0932d2e28f0b7daef0aad80c33fe004ca7792446f4182a0c3eadeac
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.