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Agent skill

Learn

by ipea in ipea/geobr

Extract reusable knowledge from the current session into a persistent skill.

No licenceAuto-check: notesTesting & QA

Install Learn

skills CLI
$ npx skills add ipea/geobr --skill learn -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install ipea/geobr learn --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/ipea/geobr.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills/learn .claude/skills/learn && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
learn
GitHub stars
959
Used in
2 other repos
Token cost
~1.2k tokens
SKILL.md length
286 words
Files
1
Skills in repo
9
Repo updated
First seen
Licence
None found

At a glance

Extract reusable knowledge from the current session into a persistent skill.

  • Works in 4 steps: Evaluate (Self-Assessment) → Check Existing Skills → Create Skill → …
  • You discover something non-obvious
  • SKILL.md covers When to Use This Skill, Workflow Phases, Output and Example: Creating a Skill, plus 2 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Learn is an agent skill from ipea/geobr. Extract reusable knowledge from the current session into a persistent skill. Use when you discover something non-obvious, create a workaround, or develop a multi-step workflow that future sessions would benefit from.

Its SKILL.md is about 1.2k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Testing & QA. The repository describes itself as: Easy access to official spatial data sets of Brazil in R and Python.

When your agent uses it

  • You discover something non-obvious
  • Create a workaround
  • Develop a multi-step workflow that future sessions would benefit from

Example prompts

  • “/learn”

Requirements

  • Pre-approved tools (allowed-tools): Read, Write, Bash, Glob, Grep

Workflow steps

4 steps, taken from the step headings in SKILL.md.

  1. Evaluate (Self-Assessment)
  2. Check Existing Skills
  3. Create Skill
  4. Quality Gates

What it can do on your machine

Read from SKILL.md and the folder at commit 0969f92. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves these tools, so the agent can use them without asking each time:

    • Read
    • Write
    • Bash
    • Glob
    • Grep

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are bash, yaml and markdown).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Learn loads about 1.2k tokens when it runs. Until then it costs about 56 tokens; SKILL.md has 286 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~56
When it runs · the whole SKILL.md, loaded when a task matches
~1.2k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check: notes

The automated check noted patterns worth knowing about, such as sudo or a known installer.

  • NotePre-approves every shell command (allowed-tools: Bash)SKILL.md
    allowed-tools: Read, Write, Bash, Glob, Grep

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

Without a licence we can't republish the file, so here is its outline and opening line. It has 286 words (~1,157 tokens).

“Extract non-obvious discoveries into reusable skills that persist across sessions.”

— opening of SKILL.md by ipea
name
learn
allowed-tools
Read, Write, Bash, Glob, Grep
author
Claude Code Academic Workflow
version
1.0.0
argument-hint
[skill-name (kebab-case)]
disable-model-invocation
true

Read the full SKILL.md on GitHub

Files

Just SKILL.md in .claude/skills/learn of ipea/geobr.

Open the folder on GitHubat commit 0969f92

Used in 2 other repositories

We found 2 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 2 other GitHub owners. This page covers the copy in ipea/geobr, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Learn next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Learn compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Learn this skillipea/geobr9592 repos~1.2kAutomated safety check: NotesNone
Web Application Testinganthropics/skills180k51 repos~966Automated safety check: PassApache-2.0
Diagnosing Bugsfossasia/eventyay-interpretation1.6k32 repos~2.1kAutomated safety check: PassApache-2.0
TDDpietheinstrengholt/rssmonster56430 repos~906Automated safety check: PassMIT
TDD WorkflowhellangleZ/burn-in-cceverywhere-ralph11211 repos~2.4kAutomated safety check: PassNone
TDDsanity-io/sanity6.4k20 repos~1kAutomated safety check: PassMIT

Similar skills

  • Web Application Testing

    anthropics/skills

    Official

    Tests local web applications with Python Playwright scripts, checking frontend behavior, capturing screenshots and reading browser console logs.

    180k GitHub starsUsed in 51 repos~966 tokens
    Testing & QAAuto-check passed

  • Diagnosing Bugs

    fossasia/eventyay-interpretation

    Diagnosis loop for hard bugs and performance regressions. An agent skill from fossasia/eventyay-interpretation.

    1.6k GitHub starsUsed in 32 repos~2.1k tokens
    Testing & QAAuto-check passed

  • TDD

    pietheinstrengholt/rssmonster

    Test-driven development. An agent skill from pietheinstrengholt/rssmonster.

    564 GitHub starsUsed in 30 repos~906 tokens
    Testing & QAAuto-check passed

  • TDD Workflow

    hellangleZ/burn-in-cceverywhere-ralph

    A skill your agent uses when writing new features, fixing bugs, or refactoring code.

    112 GitHub starsUsed in 11 repos~2.4k tokens
    Testing & QAAuto-check passed

  • TDD

    sanity-io/sanity

    Official

    Test-driven development with red-green-refactor loop. An agent skill from sanity-io/sanity.

    6.4k GitHub starsUsed in 20 repos~1k tokens
    Testing & QAAuto-check passed

  • Context Driven Development

    Ibrahim-3d/orchestrator-supaconductor

    A skill your agent uses when working with Conductor's context-driven development methodology, managing project context artifacts, or understanding the relationship between product.md, tech-stack.md…

    380 GitHub starsUsed in 9 repos~2.9k tokens
    Testing & QAAuto-check passed

More from ipea/geobr

All 9 skills in this repo

  • Checkpoint

    ipea/geobr

    Save a structured state snapshot the next session can resume from — active plan, decisions and why, file pointers with line numbers, open questions, next 1-3 actions, and what to deliberately forget.

    959 GitHub stars~1.4k tokensUpdated 10 days ago
    Auto-check: notes

  • Deep Audit

    ipea/geobr

    Deep consistency audit of the geobr repository — configuration, documentation, and the two packages.

    959 GitHub stars~1.8k tokensUpdated 10 days ago
    Auto-check: notes

  • Diagnose

    ipea/geobr

    Root-cause a failing or wrong geobr call with a disciplined check-the-environment-first loop instead of guessing.

    959 GitHub stars~1.5k tokensUpdated 10 days ago
    Auto-check passed

  • Parity Check

    ipea/geobr

    Check R↔Python API parity across geobr's two packages — which read functions exist on one side but not the other, and where matched functions disagree on argument names, defaults, or the metadata…

    959 GitHub stars~1.4k tokensUpdated 10 days ago
    Auto-check: notes

  • Py Package Check

    ipea/geobr

    Run the Python package release gate for geobr — sync the locked environment, run the offline and network test suites, build the distribution, and review the source against the Python conventions.

    959 GitHub stars~1.4k tokensUpdated 10 days ago
    Auto-check: notes

  • R Package Check

    ipea/geobr

    Run the full R package release gate — regenerate docs, run the test suite, run R CMD check --as-cran, and triage every ERROR / WARNING / NOTE against CRAN policy before a release or submission.

    959 GitHub stars~1.5k tokensUpdated 10 days ago
    Auto-check: notes

Categories

Questions about Learn

What does Learn do?

Extract reusable knowledge from the current session into a persistent skill. Learn is an agent skill from ipea/geobr. Extract reusable knowledge from the current session into a persistent skill.

When should I use Learn?

Learn fits situations like: you discover something non-obvious; create a workaround; develop a multi-step workflow that future sessions would benefit from.

How do I install Learn in Claude Code?

Run `npx skills add ipea/geobr --skill learn -a claude-code`. Or copy the skill folder (.claude/skills/learn in ipea/geobr) into .claude/skills/learn in your project. Claude Code loads it when a task matches its description.

How do I install Learn in Codex?

Run `npx skills add ipea/geobr --skill learn -a codex`. Or copy the skill folder (.claude/skills/learn in ipea/geobr) into .agents/skills/learn in your project. Codex loads it when a task matches its description.

Can I use Learn in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add ipea/geobr --skill learn -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/learn, .gemini/skills/learn, .github/skills/learn and .opencode/skills/learn in your project.

What does Learn need to run?

SKILL.md names no scripts, command-line tools or credentials: Learn is instructions for the agent only. Its frontmatter pre-approves these tools: Read, Write, Bash, Glob, Grep.

Does Learn access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Learn safe to install?

Our automated static check of SKILL.md found notes only (pre-approves every shell command (allowed-tools: bash)), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.

What licence does Learn use?

No licence was found for Learn or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.

How many tokens does Learn use?

About 1.2k tokens (SKILL.md is roughly 4.6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Learn?

Skills that share tags, products or a category with Learn: Web Application Testing (anthropics/skills, 180k stars), Diagnosing Bugs (fossasia/eventyay-interpretation, 1.6k stars), TDD (pietheinstrengholt/rssmonster, 564 stars) and TDD Workflow (hellangleZ/burn-in-cceverywhere-ralph, 112 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Learn?

ipea (a GitHub organization) maintains it in ipea/geobr, which has 959 GitHub stars. The repository holds 9 skills in this directory. The repository was last updated on September 27, 2026.

Source: ipea/geobr on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.