Ralph

by agenticnotetaking

Ralph is an AI Engineering skill for Claude Code, published by agenticnotetaking in arscontexta.

3.5K stars219 forkson agenticnotetaking/arscontextaAdded 2026/08/16Repository updated 2026/02/24

View source on GitHub Download repo ZIP

claude-codeclaude-code-pluginknowledge-baseknowledge-managementmarkdownsecond-brain

Install in seconds

Install Ralph

Copy Ralph into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.

terminal

npx degit https://github.com/agenticnotetaking/arscontexta/tree/main/skill-sources/ralph ~/.claude/skills/ralph

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/agenticnotetaking/arscontexta.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file: skill-sources/ralph/SKILL.md in agenticnotetaking/arscontexta
Installs to: ~/.claude/skills/ralph
Collection: One of 25 skills cataloged from this repository
Category: AI Engineering — 2451 skills

What Ralph does

Ralph processes tasks from a work queue, spawning isolated subagents for each phase to keep context fresh. Use it to run multi-phase knowledge base pipelines in serial, parallel, batch, or dry-run modes.

Ralph is cataloged under AI Engineering on DirSkills. Ralph comes from a repository tagged claude-code, claude-code-plugin, knowledge-base, knowledge-management and markdown.

Documentation

README

Excerpt

EXECUTE NOW

Target: $ARGUMENTS

Parse arguments:

N (required unless --dry-run): number of tasks to process
--parallel: concurrent claim workers (max 5) + cross-connect validation
--batch [id]: process only tasks from specific batch
--type [type]: process only tasks at a specific phase (extract, create, reflect, reweave, verify, enrich)
--dry-run: show what would execute without running
--handoff: output structured RALPH HANDOFF block at end (for pipeline chaining)

Step 0: Read Vocabulary

Read ops/derivation-manifest.md (or fall back to ops/derivation.md) for domain vocabulary mapping. All output must use domain-native terms. If neither file exists, use universal terms.

START NOW. Process queue tasks.

This is the opening of the README. Read the full README on GitHub.

Commands Ralph provides

Slash commands named in this skill’s SKILL.md, listed in the order they first appear.

/reduce
/enrich
/reflect
/reweave
/verify
/seed
/pipeline
/ralph
/archive-batch

Frequently asked about Ralph

What else does agenticnotetaking publish alongside Ralph?
Ralph is one of 25 skills that DirSkills catalogs from agenticnotetaking/arscontexta, the repository it ships in. Its siblings there include Add Domain, Ars Contexta Setup and Ars Contexta Tutorial. Each one is a separate skill with its own page in this directory, installs the same way Ralph does, and is maintained by agenticnotetaking in that same repository. The rest of the collection is listed on the agenticnotetaking/arscontexta page.
How does Ralph compare to other AI Engineering skills?
Ralph ranks #599 by stars among the 2451 AI Engineering skills in this catalog. The most-starred ones next to it are Architecture Decision Records, AI-First Engineering and Agentic OS. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of Ralph against them. Open each page to compare what they document and how they install.