conduct-retrospective SKILL.md skillA
conduct-retrospective from pjt222/agent-almanac is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add pjt222/agent-almanac/conduct-retrospective@v1.0Pins v1.0 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- pjt222/agent-almanac
- Path
i18n/caveman-lite/skills/conduct-retrospective/SKILL.md- Versions recorded
- 3
- Latest version
- v1.0, committed Aug 17, 2026
- First version recorded
- Apr 19, 2026
- Size
- 7,729 bytes
- Repository stars
- 43
- License
- MIT
Conduct a project or sprint retrospective by gathering data from status reports and velocity metrics, structuring what went well and what needs improvement, and generating actionable improvement items with owners and due dates. Use at the end of a sprint, after a project phase or milestone, following a significant incident or success, at a quarterly review of ongoing processes, or before starting a similar project to capture 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
# Conduct a Retrospective Facilitate a structured retrospective that reviews recent project execution, identifies what worked and what didn't, and produces actionable improvement items that feed back into project processes. This skill transforms raw project data into evidence-backed learnings with specific actions, owners, and due dates. ## When to Use - End of a sprint (sprint retrospective) - End of a project phase or milestone - After a significant incident, failure, or success - Quarterly review of ongoing project processes - Before starting a similar project (lessons learned review) ## Inputs - **Required**: Period under review (sprint number, date range, or milestone) - **Optional**: Status reports from the review period - **Optional**: Sprint velocity and completion data - **Optional**: Previous retrospective actions (to check closure) - **Optional**: Team feedback or survey results ## Procedure ### Step 1: Gather Retrospective Data Read available artifacts from the review period: - STATUS-REPORT-*.md files for the period - SPRINT-PLAN.md for planned vs actual - BACKLOG.md for item flow and cycle times - Previous RETRO-*.md for open action items Extract key facts: …
Read the whole file at its exact version.
How to install
mdr add pjt222/agent-almanac/conduct-retrospective@sha256:7f502b438c90932fThe line at the top of this page pins the label v1.0, 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_ikmuydewj4oytbfm)
4 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 3 versions of this file, between Apr 19, 2026 and Aug 17, 2026, about one every 60 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| v1.0 latest | 2026-08-17 | a784899 | 7,729 B | A | view · diff |
| v1.0 | 2026-04-19 | a31852a | 7,700 B | A | view · diff |
| v1.0 | 2026-04-19 | e334ebd | 7,747 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 (7729 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
pjt222/agent-almanac · 43 stars · license MIT · pushed 2026-11-06 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_ikmuydewj4oytbfm GET https://markdownregistry.com/api/v1/resolve?ref=pjt222/agent-almanac/conduct-retrospective GET https://markdownregistry.com/api/v1/blob/7f502b438c90932f2e560b99acb2556640780c895ee8fb5b2beb0d008c51ffb2
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.