acct-win-loss-review SKILL.md skillA
acct-win-loss-review from polar-bear-org/claude-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add polar-bear-org/claude-skills/acct-win-loss-review@git:20261011.dce569cPins git:20261011.dce569c in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- polar-bear-org/claude-skills
- Path
packs/account-executives-pack/skills/acct-win-loss-review/SKILL.md- Versions recorded
- 1
- Latest version
- git:20261011.dce569c, committed Oct 11, 2026
- Size
- 5,387 bytes
- Repository stars
- 51
- License
- a license file GitHub does not identify
Writes a win/loss review of one deal, with the timeline and its sources, expected against actual, the customer's reasons only as they gave them or "not asked" with three neutral questions, what counted factor by factor and what you keep and change. Use for "run acct-win-loss-review", "win/loss review", "win-loss analysis", "why did we lose this deal", "deal post-mortem", "debrief a lost deal", "what did we do right on this win", "lessons from this deal", part of the Claude for Account…
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# Win/Loss Review ## When To Use You lose a deal and nobody really knows why. People say "too expensive" or "the incumbent was too strong" without having asked the customer. Or you win and cannot say what did it. Run this within a few weeks of the decision. It answers: what really counted, according to the customer and the facts of the cycle, and what do you change for the next one? ## When Not To Use To turn a won deal into proof for prospects, use Customer Proof Story: this review stays internal. For deals still open, use Pipeline Review or Deal Review Brief. ## Inputs - The deal history in your CRM (dates, stages, amounts, decisions), your call notes, the proposal, the quote and the key exchanges. - What the customer said about their decision, with the source, if they said it, and whether you can still ask them. If you have none of this, I start from your memory of the cycle, marked "from memory", and mark the output as a first draft. ## Approach …
Read the whole file at its exact version.
How to install
mdr add polar-bear-org/claude-skills/acct-win-loss-review@sha256:c82279643774fa8cThe line at the top of this page pins the label git:20261011.dce569c, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_7fkup5bsx5ofj5i5)
1 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 1 version of this file, committed on Oct 11, 2026.
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 (5387 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
polar-bear-org/claude-skills · 51 stars · license a license file GitHub does not identify · pushed 2026-10-26 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_7fkup5bsx5ofj5i5 GET https://markdownregistry.com/api/v1/resolve?ref=polar-bear-org/claude-skills/acct-win-loss-review GET https://markdownregistry.com/api/v1/blob/c82279643774fa8cc14bac270cc0cd155836e0d0dc7ea08e2373811ef531469a
Your AI assistant 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.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.