agents
Use when designing, deploying, or debugging a Butterbase Agent (declarative LLM/tool graph), registering an MCP server for tool use, or wiring access controls…
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.
$ npx -y skills add butterbase-ai/butterbase-skills --skill journey-rag --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/journey-ragContext preview
The summary Claude sees to decide when to auto-load this skill.
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.
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.
Stage 3g of the guided journey. Create RAG collections and ingest initial documents.
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.
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=<list>. 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`: `<ISO timestamp> 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)"`).
Claude Code plugin for Butterbase — the AI-Native Backend-as-a-Service. This plugin gives Claude deep knowledge of Butterbase's 42+ MCP tools, guides you through common workflows, and auto-configures the MCP server connection.
Repo: butterbase-ai/butterbase-skills
Use when designing, deploying, or debugging a Butterbase Agent (declarative LLM/tool graph), registering an MCP server for tool use, or wiring access controls…
Use when calling the app's AI gateway from agent tools — chat completions, embeddings, listing models, configuring defaults or BYOK, reading token/cost usage
Use when configuring OAuth providers (Google/GitHub/Apple/X/etc.), setting up post-login auth hooks, tuning JWT lifetimes, or generating service API keys
Use when building a new Butterbase app from scratch, creating a full-stack application, or when the user asks to set up a complete backend with database, auth,…
Use when contributing to the Butterbase codebase, adding new MCP tools, creating API routes, writing migrations, or understanding the monorepo architecture
Use when users report access denied errors, see wrong data, RLS policies are not working, or when troubleshooting Row-Level Security issues in Butterbase