# Journey Rag

> 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.

- **Type:** Skill
- **Install:** `agentstack add skill-butterbase-ai-butterbase-skills-journey-rag`
- **Verified:** Yes — security-reviewed for prompt injection and unsafe behavior
- **Seller:** [butterbase-ai](https://agentstack.voostack.com/s/butterbase-ai)
- **Installs:** 0
- **Category:** [AI & ML](https://agentstack.voostack.com/c/ai-and-ml)
- **Latest version:** 0.1.0
- **License:** MIT
- **Upstream author:** [butterbase-ai](https://github.com/butterbase-ai)
- **Source:** https://github.com/butterbase-ai/butterbase-skills/tree/main/skills/journey-rag

## Install

```sh
agentstack add skill-butterbase-ai-butterbase-skills-journey-rag
```

Requires the [AgentStack CLI](https://agentstack.voostack.com/docs/cli). Works with Claude Code, Cursor, and any MCP-compatible agent.

## About

# 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

0. **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.

1. Read the RAG section. Print it back: `"About to set up RAG: collections=. Proceed?"`. Wait for `yes`.
2. 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.
3. Smoke: call `rag_query` with a representative question and show the user the top hit.
4. Append one line to `docs/butterbase/04-build-log.md`:
   `  rag  manage_rag_content  ok`
5. Tick `- [x] rag` in `00-state.md`, set `current_stage:` to the next unchecked stage.
6. 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.

## Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

- **Author:** [butterbase-ai](https://github.com/butterbase-ai)
- **Source:** [butterbase-ai/butterbase-skills](https://github.com/butterbase-ai/butterbase-skills)
- **License:** MIT

Install and usage instructions live in the source repository linked above.

## Pricing

- **Free** — Free

## Security capabilities

Automated source analysis of v0.1.0 — what this tool can access:

- **Network access:** no
- **Filesystem access:** no
- **Shell / process execution:** no
- **Environment & secrets:** no
- **Dynamic code execution:** no

*"Yes" means the capability is present in the source — more access means more to trust, not that it is unsafe.*


## Versions

- **0.1.0** — security scan: passed — Imported from the upstream source.

## Links

- Listing page: https://agentstack.voostack.com/l/skill-butterbase-ai-butterbase-skills-journey-rag
- Seller: https://agentstack.voostack.com/s/butterbase-ai
- Browse the marketplace: https://agentstack.voostack.com/browse

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