Learn

What it does

When your agent uses it

• Tasks that involve Web search
• Tasks that involve Knowledge graphs

Example prompts

• “/learn”
• “/learn [topic]”
• “research this”
• “/learn”

Requirements

• Pre-approved tools (allowed-tools): Read, Write, Edit, Grep, Glob, Bash, mcp__exa__web_search_exa, mcp__exa__deep_researcher_start, mcp__exa__deep_researcher_check, WebSearch

Workflow steps

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

1. 1Read Configuration
2. 2Determine Depth
3. 3Research — Tool Cascade
4. 4File Results to Inbox
5. 5Chain to Processing
6. 6Update goals.md

What it can do on your machine

Read from SKILL.md and the folder at commit 2acfd5c. 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
  • Edit
  • Grep
  • Glob
  • Bash
  • mcp__exa__web_search_exa
  • mcp__exa__deep_researcher_start
  • mcp__exa__deep_researcher_check
  • WebSearch

  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 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 1.9k tokens when it runs. Until then it costs about 69 tokens; SKILL.md has 560 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it

~69

When it runs · the whole SKILL.md, loaded when a task matches

~1.9k

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

• NotePre-approves every shell command (allowed-tools: Bash)SKILL.md

  allowed-tools: Read, Write, Edit, Grep, Glob, Bash, mcp__exa__web_search_exa, mcp__exa__deep_researcher_start, mcp_

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

The full file from agenticnotetaking/arscontexta at commit 2acfd5c, republished under its MIT licence (© agenticnotetaking). 560 words, ~1,927 tokens.

name

learn

description

Research a topic and grow your knowledge graph. Uses Exa deep researcher, web search, or basic search to investigate topics, files results with full provenance, and chains to processing pipeline. Triggers on "/learn", "/learn [topic]", "research this", "find out about".

allowed-tools

Read, Write, Edit, Grep, Glob, Bash, mcp__exa__web_search_exa, mcp__exa__deep_researcher_start, mcp__exa__deep_researcher_check, WebSearch

user-invocable

true

context

fork

ops/config.yaml             — research tools, depth, pipeline chaining
ops/derivation-manifest.md  — domain vocabulary (inbox folder, reduce skill name)

research:
  primary: exa-deep-research      # exa-deep-research | exa-web-search | web-search
  fallback: exa-web-search
  last_resort: web-search
  default_depth: moderate          # light | moderate | deep
pipeline:
  chaining: suggested             # manual | suggested | automatic

Researching: [topic]

  Depth: [depth]
  Using: [tool name]

FAIL: Research failed — no research tools available

  Tried:
    1. [primary] — [error]
    2. [fallback] — [error]
    3. WebSearch — [error]

  Try again later or manually add research to [inbox-folder]/

mcp__exa__deep_researcher_start
  instructions: "Research comprehensively: [topic]. Focus on practical findings, key patterns, recent developments, and actionable insights."
  model: "exa-research-fast" (moderate) | "exa-research" (deep)

  Research ID: [id]
  Waiting for results...

mcp__exa__web_search_exa  query: "[topic]"  numResults: 8

WebSearch  query: "[topic]"

---
description: [1-2 sentence summary of key findings]
source_type: exa-deep-research | exa-web-search | web-search
exa_prompt: "[full query/instruction string sent to the research tool]"
exa_research_id: "[deep researcher ID, omit for web search]"
exa_model: "[exa-research-fast | exa-research, omit for web search]"
exa_tool: "[mcp tool name, omit for deep researcher]"
generated: [ISO 8601 timestamp — run: date -u +"%Y-%m-%dT%H:%M:%SZ"]
domain: "[domain name from derivation-manifest]"
topics: ["[[domain-hub-moc]]"]
---

# [Topic Title]

## Key Findings

[Synthesized findings organized by theme, not by source. Each finding
should be a clear proposition the reduce phase can extract as an atomic insight.]

## Sources

[List of sources with titles and URLs]

## Research Directions

[New questions, unexplored angles, follow-up topics. These feed goals.md.]

Research complete

  Filed to: [inbox-folder]/[filename]

  Next: /[reduce-skill-name] [inbox-folder]/[filename]

ars contexta

Researching: [topic]

  Depth: [depth]
  Using: [tool name]
  [Research ID: abc-123]

  Research complete -- [N] sources analyzed

  Filed to: [inbox-folder]/[filename]

  Next: /[reduce-skill-name] [inbox-folder]/[filename]
    [chaining context]

  [goals.md updated with N new research directions]

© agenticnotetaking, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 1 other file in skill-sources/learn of agenticnotetaking/arscontexta.

• SKILL.md
• skill.json

Open the folder on GitHubat commit 2acfd5c

Used in 1 other repository

We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in agenticnotetaking/arscontexta, which our catalogue first saw on October 7, 2026.

• majiayu000/claude-skill-registryskills/analysis/learn-lopewale-dev-ignition