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claude-code

Toru-claude-agents megg-learn

Capture a learning to megg knowledge

install
source · Clone the upstream repo
git clone https://github.com/ToruAI/toru-claude-agents
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/ToruAI/toru-claude-agents "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/megg-learn" ~/.claude/skills/toruai-toru-claude-agents-megg-learn && rm -rf "$T"
manifest: skills/megg-learn/SKILL.md
source content

Capture Learning

User wants to save something to megg knowledge.

Process

  1. If argument provided, use it as the learning content
  2. If no argument, ask: "What should we capture?"
  3. Determine the appropriate entry type:
    • decision: Architectural or design choice made
    • pattern: How we do things here (reusable approach)
    • gotcha: Trap to avoid, something that caught us
    • context: Background info, not actionable
  4. Extract or ask for relevant topics (tags for categorization)
  5. Use the 
    mcp__megg__learn
    tool to save

Example

User: 

/megg-learn always use absolute paths in hooks

→ Capture as pattern with topics like 

hooks
, 
paths

Important

  • Keep entries concise and actionable
  • Topics should be 1-3 words each
  • Title should be short (5-10 words max)
  • Content can include examples or context