Refactor high-complexity React components in Dify frontend. Use when `pnpm analyze-component...
npx skills add mikeyobrien/ralph-orchestrator --skill "ralph-memories"
Install specific skill from multi-skill repository
# Description
Use when discovering codebase patterns, making architectural decisions, solving recurring problems, or learning project-specific context that should persist across sessions
# SKILL.md
name: ralph-memories
description: Use when discovering codebase patterns, making architectural decisions, solving recurring problems, or learning project-specific context that should persist across sessions
Ralph Memories
Persistent learning system for accumulated wisdom across sessions. Storage: .agent/memories.md.
When to Search Memories
Search BEFORE starting work when:
- Entering unfamiliar code area → ralph tools memory search "area-name"
- Encountering an error → ralph tools memory search -t fix "error message"
- Making architectural decisions → ralph tools memory search -t decision "topic"
- Something feels familiar → there might be a memory about it
Search strategies:
- Start broad, narrow with filters: search "api" → search -t pattern --tags api
- Check fixes first for errors: search -t fix "ECONNREFUSED"
- Review decisions before changing architecture: search -t decision
When to Create Memories
Create a memory when:
- You discover how this codebase does things (pattern)
- You make or learn why an architectural choice was made (decision)
- You solve a problem that might recur (fix)
- You learn project-specific knowledge others need (context)
Do NOT create memories for:
- Session-specific state (use tasks instead)
- Obvious/universal practices
- Temporary workarounds
Memory Types
| Type | Flag | Use For |
|---|---|---|
| pattern | -t pattern |
"Uses barrel exports", "API routes use kebab-case" |
| decision | -t decision |
"Chose Postgres over SQLite for concurrent writes" |
| fix | -t fix |
"ECONNREFUSED on :5432 means run docker-compose up" |
| context | -t context |
"ralph-core is shared lib, ralph-cli is binary" |
Discover Available Tags
Before searching or adding, check what tags already exist:
# See all memories with their tags
ralph tools memory list
# Extract unique tags (grep the file directly)
grep -o 'tags: [^|]*' .agent/memories.md | sort -u
Reuse existing tags for consistency. Common tag patterns:
- Component names: api, auth, database, cli
- Concerns: testing, performance, error-handling
- Tools: docker, postgres, redis
Quick Reference
# Add memory (creates file if needed)
ralph tools memory add "content" -t pattern --tags tag1,tag2
# Search (start broad, narrow with filters)
ralph tools memory search "query"
ralph tools memory search -t fix "error message"
ralph tools memory search --tags api,auth
# List and show
ralph tools memory list
ralph tools memory list -t fix --last 10
ralph tools memory show mem-1737372000-a1b2
# Delete
ralph tools memory delete mem-1737372000-a1b2
# Prime for context injection
ralph tools memory prime --budget 2000
ralph tools memory prime --tags api,auth # Prime specific tags only
ralph tools memory prime --recent 7 # Only last 7 days
Best Practices
- Be specific: "Uses barrel exports in each module" not "Has good patterns"
- Include why: "Chose X because Y" not just "Uses X"
- One concept per memory: Split complex learnings
- Tag consistently: Reuse existing tags when possible
Examples
# Pattern: discovered codebase convention
ralph tools memory add "All API handlers return Result<Json<T>, AppError>" -t pattern --tags api,error-handling
# Decision: learned why something was chosen
ralph tools memory add "Chose JSONL over SQLite: simpler, git-friendly, append-only" -t decision --tags storage,architecture
# Fix: solved a recurring problem
ralph tools memory add "cargo test hangs: kill orphan postgres from previous run" -t fix --tags testing,postgres
# Context: project-specific knowledge
ralph tools memory add "The /legacy folder is deprecated, use /v2 endpoints" -t context --tags api,migration
# Supported AI Coding Agents
This skill is compatible with the SKILL.md standard and works with all major AI coding agents:
Learn more about the SKILL.md standard and how to use these skills with your preferred AI coding agent.