launch-debrief SKILL.md skillA
launch-debrief from varunk130/ai-gtm-skill-library is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add varunk130/ai-gtm-skill-library/launch-debrief@git:20261101.38ce394Pins git:20261101.38ce394 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- varunk130/ai-gtm-skill-library
- Path
gtm-skills/launch-debrief/SKILL.md- Versions recorded
- 3
- Latest version
- git:20261101.38ce394, committed Nov 1, 2026
- First version recorded
- May 16, 2026
- Size
- 11,107 bytes
- Repository stars
- 7
- License
- MIT
Structured post-launch retrospective that produces quantified learnings and improvement playbooks. Use when: launch retrospective, post-launch review, what worked, launch debrief, post-mortem, lessons learned.
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
# Launch Debrief (MIRROR Protocol) A structured post-launch retrospective engine that transforms raw launch data into quantified learnings, root-cause analyses, and improvement playbooks. MIRROR ensures every launch makes future launches better by extracting actionable insights from both successes and failures through systematic analysis rather than anecdotal recall. ## When to Use - Conducting a post-launch retrospective (ideally at T+30 and T+90) - Analyzing why a launch over- or underperformed expectations - Building an institutional knowledge base of launch learnings - Creating improvement playbooks for the next launch cycle - Presenting launch results to leadership with root-cause analysis - Comparing actual results against pre-launch projections - Identifying systemic issues across multiple launches ## What You'll Need **Critical inputs (ask if not provided):** - Launch name, date, and type (GA, beta, feature, expansion) - Pre-launch targets for all VITAL metrics (from launch-pulse) - Actual performance data for all tracked metrics - Launch readiness scores from gate reviews (from launch-command) - Budget allocation and actual spend (from budget-allocator) …
Read the whole file at its exact version.
How to install
mdr add varunk130/ai-gtm-skill-library/launch-debrief@sha256:189f470d1de4d5acThe line at the top of this page pins the label git:20261101.38ce394, 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_56y3i3b6l34aiqd4)
4 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 3 versions of this file, between May 16, 2026 and Nov 1, 2026, about one every 84 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20261101.38ce394 latest | 2026-11-01 | 38ce394 | 11,107 B | A | view · diff |
| git:20261028.26b1c56 | 2026-10-28 | 26b1c56 | 11,101 B | A | view · diff |
| git:20260516.4225f52 | 2026-05-16 | 4225f52 | 11,097 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 (11107 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
varunk130/ai-gtm-skill-library · 7 stars · license MIT · pushed 2026-11-01 · branch master
API
GET https://markdownregistry.com/api/v1/artifacts/art_56y3i3b6l34aiqd4 GET https://markdownregistry.com/api/v1/resolve?ref=varunk130/ai-gtm-skill-library/launch-debrief GET https://markdownregistry.com/api/v1/blob/189f470d1de4d5ac4a12587eca50f230b8a85bf28cb41a9c85d421e24da17797
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.