Use as the RAG build stage of the Butterbase journey. An agent skill from butterbase-ai/butterbase-skills.

MITAuto-check passedAI & LLM Engineering

Install Journey RAG

skills CLI
$ npx skills add butterbase-ai/butterbase-skills --skill journey-rag -a claude-code

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

GitHub CLI
$ gh skill install butterbase-ai/butterbase-skills journey-rag --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/butterbase-ai/butterbase-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/journey-rag .claude/skills/journey-rag && 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
journey-rag
GitHub stars
534
Token cost
~518 tokens
SKILL.md length
223 words
Files
1
Skills in repo
39
Repo updated
First seen
Licence
MIT

At a glance

Use as the RAG build stage of the Butterbase journey. An agent skill from butterbase-ai/butterbase-skills.

  • Works in 7 steps: Refresh docs. Call butterbase_docs with… → Read the RAG section. Print it back:… → Invoke butterbase-skills:rag-dev via the… → …
  • Tasks that involve Retrieval-augmented generation
  • SKILL.md covers When to use, Preflight, Inputs and Procedure, plus 2 more sections
  • Reaches docs.butterbase.ai

What it does

Journey RAG is an agent skill from butterbase-ai/butterbase-skills. Use as the RAG build stage of the Butterbase journey. Implements the RAG section of 02-plan.md by delegating to rag-dev. Calls manageragcontent (createcollection, ingestdocument). Skipped if the plan has no knowledge-base feature.

Its SKILL.md is about 520 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 AI & LLM Engineering, covering Retrieval-augmented generation and Knowledge bases. The repository describes itself as: Plugin for Butterbase.ai. The licence is MIT.

When your agent uses it

  • Tasks that involve Retrieval-augmented generation
  • Tasks that involve Knowledge bases

Example prompts

  • “/journey-rag”

Workflow steps

7 steps, taken from the first numbered list in SKILL.md.

  1. Refresh docs. Call butterbase_docs with topic: "rag". For ingestion + retrieval patterns, also WebFetch https://docs.butterbase.ai/ai/rag…
  2. Read the RAG section. Print it back: "About to set up RAG: collections=. Proceed?". Wait for yes.
  3. Invoke butterbase-skills:rag-dev via the Skill tool with the RAG plan and app_id. The wrapped skill calls manage_rag_content action…
  4. Smoke: call rag_query with a representative question and show the user the top hit.
  5. Append one line to docs/butterbase/04-build-log.md
  6. Tick - [x] rag in 00-state.md, set current_stage: to the next unchecked stage.
  7. Return to journey orchestrator (or ask "Continue to the next stage? (yes/no)").

What it can do on your machine

Read from SKILL.md and the folder at commit aa8ae69. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

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

  • Network

    Hosts in commands or code, which the agent is likely to contact:

    • docs.butterbase.ai

    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

Journey RAG loads about 518 tokens when it runs. Until then it costs about 62 tokens; SKILL.md has 223 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~62
When it runs · the whole SKILL.md, loaded when a task matches
~518

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 passed

The automated check found no risky patterns in SKILL.md.

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 butterbase-ai/butterbase-skills at commit aa8ae69, republished under its MIT licence (© butterbase-ai). 223 words, ~518 tokens.

Download SKILL.mdSave it as .claude/skills/journey-rag/SKILL.md (or your agent's skills folder).
name
journey-rag
description
Use as the RAG build stage of the Butterbase journey. Implements the RAG section of 02-plan.md by delegating to rag-dev. Calls manage_rag_content (create_collection, ingest_document). Skipped if the plan has no knowledge-base feature.

Journey: RAG

Stage 3g of the guided journey. Create RAG collections and ingest initial documents.

When to use

  • Dispatched by journey when current_stage: rag.
  • Directly via /butterbase-skills:journey-rag.
  • Skipped (annotated (n/a)) if the plan has no RAG section.

Preflight

If docs/butterbase/03-preflight.md is missing, older than 24 hours, or 00-state.md has app_id: null, invoke butterbase-skills:journey-preflight first. Wait for it to return successfully before proceeding.

Inputs

  • docs/butterbase/02-plan.md — the RAG section.
  • docs/butterbase/00-state.md — for app_id.

Procedure

  1. Refresh docs. Call butterbase_docs with topic: "rag". For ingestion + retrieval patterns, also WebFetch https://docs.butterbase.ai/ai/rag. Skip if cache is fresh.

  2. Read the RAG section. Print it back: "About to set up RAG: collections=<list>. Proceed?". Wait for yes.

  3. Invoke butterbase-skills:rag-dev via the Skill tool with the RAG plan and app_id. The wrapped skill calls manage_rag_content action: create_collection, then ingest_document for any seed sources the user provides.

  4. Smoke: call rag_query with a representative question and show the user the top hit.

  5. Append one line to docs/butterbase/04-build-log.md: <ISO timestamp> rag manage_rag_content ok

  6. Tick - [x] rag in 00-state.md, set current_stage: to the next unchecked stage.

  7. Return to journey orchestrator (or ask "Continue to the next stage? (yes/no)").

Outputs

  • Created RAG collections, ingested seed docs.
  • One line in 04-build-log.md.

Anti-patterns

  • ❌ Ingesting huge document sets in a single call — chunk and poll get_document_status.
  • ❌ Skipping the smoke rag_query — silent embedding failures are common.

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

Files

Just SKILL.md in skills/journey-rag of butterbase-ai/butterbase-skills.

Open the folder on GitHubat commit aa8ae69

Compare with similar skills

Journey RAG 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.

Journey RAG compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Journey RAG this skillbutterbase-ai/butterbase-skills534—~518Automated safety check: PassMIT
Blockify Integrationiternal-technologies-partners/blockify-agentic-data-optimization315—~6.2kAutomated safety check: NotesCustom licence
RAG Check Firstlyonzin/knowledge-rag292—~1.4kAutomated safety check: PassMIT
Agentsop Difyagentsope/SkillAlchemy436—~5.4kAutomated safety check: NotesMIT
Sc QAopen-edge-platform/edge-ai-suites140—~2.3kAutomated safety check: PassApache-2.0
RAG AssistantAtmosphere/atmosphere3.8k—~504Automated safety check: PassApache-2.0

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  • RAG Check First

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Questions about Journey RAG

What does Journey RAG do?

Use as the RAG build stage of the Butterbase journey. An agent skill from butterbase-ai/butterbase-skills. Journey RAG is an agent skill from butterbase-ai/butterbase-skills. Use as the RAG build stage of the Butterbase journey.

When should I use Journey RAG?

Journey RAG fits situations like: tasks that involve Retrieval-augmented generation; tasks that involve Knowledge bases.

How do I install Journey RAG in Claude Code?

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

How do I install Journey RAG in Codex?

Run `npx skills add butterbase-ai/butterbase-skills --skill journey-rag -a codex`. Or copy the skill folder (skills/journey-rag in butterbase-ai/butterbase-skills) into .agents/skills/journey-rag in your project. Codex loads it when a task matches its description.

Can I use Journey RAG 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 butterbase-ai/butterbase-skills --skill journey-rag -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/journey-rag, .gemini/skills/journey-rag, .github/skills/journey-rag and .opencode/skills/journey-rag in your project.

What does Journey RAG need to run?

SKILL.md names no scripts, command-line tools or credentials: Journey RAG is instructions for the agent only.

Does Journey RAG access the network?

SKILL.md names 1 domain. In commands or code: docs.butterbase.ai; the agent is likely to contact it when it follows the instructions. This is read from the text; nothing was executed.

Is Journey RAG safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Journey RAG use?

Journey RAG is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Journey RAG use?

About 518 tokens (SKILL.md is roughly 2.1k 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 Journey RAG?

Skills that share tags, products or a category with Journey RAG: Blockify Integration (iternal-technologies-partners/blockify-agentic-data-optimization, 315 stars), RAG Check First (lyonzin/knowledge-rag, 292 stars), Agentsop Dify (agentsope/SkillAlchemy, 436 stars) and Sc QA (open-edge-platform/edge-ai-suites, 140 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Journey RAG?

butterbase-ai (a GitHub organization) maintains it in butterbase-ai/butterbase-skills, which has 534 GitHub stars. The repository holds 39 skills in this directory. The repository was last updated on October 5, 2026.

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