meta-learn SKILL.md skillA

meta-learn from stefanoskarakasis/product-marketing-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add stefanoskarakasis/product-marketing-skills/meta-learn@v3.1.0

Pins v3.1.0 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
stefanoskarakasis/product-marketing-skills
Path
pmm-meta/skills/meta-learn/SKILL.md
Versions recorded
4
Latest version
v3.1.0, committed Oct 19, 2026
First version recorded
Sep 1, 2026
Size
7,700 bytes
Repository stars
7
License
MIT

Captures a completed skill session in depth: three extraction questions (what surprised you, what was wrong, what was missing) become falsifiable pattern statements, logged to /context/skill-sessions.md for meta-synthesis. Trigger on: "capture what we learned", "log this session", "save the learnings", "what did we learn", or any request to encode deeper insights from a completed skill session.

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

# meta-learn

The deliberate, on-demand deep-dive into a completed skill session — for
when the automatic one-line Learning Close every T1/T2 skill already writes
isn't enough. Asks what the session actually taught the user — not what the
skill's output said, but what surprised them, what they disagreed with, or
what was missing. Turns real answers into a specific, falsifiable statement
and logs it to the same file, in the same format, every T1/T2 skill's own
Learning Close writes to — so `meta-synthesis` reads one consistent log
regardless of which produced any given row.

## Trigger

- **When:** The user wants a deeper capture of a completed skill session
  than the automatic one-line row every T1/T2 skill already logs at its own
  close (see that skill's Learning Close step). Use this for a session that
  deserves real reflection — something surprised the user, a recommendation
  felt wrong, or important context was missing — and a structured
  three-question interview is worth the extra few minutes.

- **Not for:** Auditing a `SKILL.md`'s structure → use `meta-review`.
  Checking whether a skill's output itself is correct → use `meta-verify`.
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add stefanoskarakasis/product-marketing-skills/meta-learn@sha256:e75127eef983fd94

The line at the top of this page pins the label v3.1.0, 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.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_c5x2gtmnubh3aguy.svg)](https://markdownregistry.com/a/art_c5x2gtmnubh3aguy)

1 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 4 versions of this file, between Sep 1, 2026 and Oct 19, 2026, about one every 16 days.

versioncommittedcommitsizeaudit
v3.1.0 latest2026-10-19 f2a0167 7,700 BA view · diff
v3.1.02026-10-11 5b18188 7,926 BA view · diff
v3.1.02026-09-11 2c48dc5 7,941 BA view · diff
v3.1.02026-09-01 0109e2d 7,858 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (7700 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

GitHub

stefanoskarakasis/product-marketing-skills · 7 stars · license MIT · pushed 2026-10-20 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_c5x2gtmnubh3aguy
GET https://markdownregistry.com/api/v1/resolve?ref=stefanoskarakasis/product-marketing-skills/meta-learn
GET https://markdownregistry.com/api/v1/blob/e75127eef983fd943a472a5a92adbf0ebc91cc767b22488f1b1d33818fd08869

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.

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