learn SKILL.md skillA

learn from pjt222/agent-almanac is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add pjt222/agent-almanac/learn@v1.0

Pins 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/learn/SKILL.md
Versions recorded
4
Latest version
v1.0, committed Aug 17, 2026
First version recorded
Apr 19, 2026
Size
12,790 bytes
Repository stars
43
License
MIT

AI systematic knowledge acquisition from unfamiliar territory — deliberate model-building with feedback loops. Maps spaced repetition principles to AI reasoning: survey the territory, hypothesize structure, explore with probes, integrate findings, verify understanding, and consolidate for future retrieval. Use when encountering an unfamiliar codebase or domain, when a user asks about a topic requiring genuine investigation rather than recall, when multiple conflicting sources require building…

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

# Learn

Conduct a structured knowledge acquisition session — surveying unfamiliar territory, building initial models, testing them through deliberate exploration, integrating findings into coherent understanding, and consolidating for durable retrieval.

## When to Use

- Encountering an unfamiliar codebase, framework, or domain with no prior context
- A user asks about a topic outside current working knowledge and the answer requires genuine investigation, not recall
- Multiple conflicting sources or patterns exist and a coherent mental model needs to be built from scratch
- After `remote-viewing` surfaces intuitive leads that need systematic validation
- Preparing to `teach` a topic — the AI must first understand it deeply enough to explain it

## Inputs

- **Required**: Learning target — a topic, codebase area, API, domain concept, or technology to understand
- **Optional**: Scope boundary — how deep to go (surface survey vs. deep expertise)
- **Optional**: User's purpose — why this knowledge matters (guides which aspects to prioritize)
- **Optional**: Known starting points — files, docs, or concepts already familiar

## Procedure

### Step 1: Survey — Map the Territory
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add pjt222/agent-almanac/learn@sha256:608028b5d09fbab8

The 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.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_kp5jb7cuwuzupjho.svg)](https://markdownregistry.com/a/art_kp5jb7cuwuzupjho)

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

Versions

The registry has recorded 4 versions of this file, between Apr 19, 2026 and Aug 17, 2026, about one every 40 days.

versioncommittedcommitsizeaudit
v1.0 latest2026-08-17 a784899 12,790 BA view · diff
v1.02026-06-05 33b561c 12,761 BA view · diff
v1.02026-04-26 f5b501b 12,757 BA view · diff
v1.02026-04-19 e334ebd 12,849 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 (12790 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

pjt222/agent-almanac · 43 stars · license MIT · pushed 2026-11-06 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_kp5jb7cuwuzupjho
GET https://markdownregistry.com/api/v1/resolve?ref=pjt222/agent-almanac/learn
GET https://markdownregistry.com/api/v1/blob/608028b5d09fbab88ab617c8439880a840d0f5cef8ea243bbb8053082b95b36f

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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