agents
Use when designing, deploying, or debugging a Butterbase Agent (declarative LLM/tool graph), registering an MCP server for tool…
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.
Claude Code
$ npx -y skills add butterbase-ai/butterbase-skills --skill journey-rag --agent claude-code
Codex
$ npx skills add butterbase-ai/butterbase-skills --skill journey-rag -a codex -y
Cursor
$ npx skills add butterbase-ai/butterbase-skills --skill journey-rag -a cursor -y
Gemini CLI
$ npx skills add butterbase-ai/butterbase-skills --skill journey-rag -a gemini-cli -y
GitHub Copilot
$ npx skills add butterbase-ai/butterbase-skills --skill journey-rag -a github-copilot -y
OpenCode
$ npx skills add butterbase-ai/butterbase-skills --skill journey-rag -a opencode -y
Windsurf
$ npx skills add butterbase-ai/butterbase-skills --skill journey-rag -a windsurf -y
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 nearly 40 MCP tools, guides you through common workflows, and auto-configures the MCP server connection.
Use when designing, deploying, or debugging a Butterbase Agent (declarative LLM/tool graph), registering an MCP server for tool…
Use when calling the app's AI gateway from agent tools — chat completions, embeddings, listing models, configuring defaults or…
Use when configuring OAuth providers (Google/GitHub/Apple/X/etc.), setting up post-login auth hooks, tuning JWT lifetimes, or…
Use when building a new Butterbase app from scratch, creating a full-stack application, or when the user asks to set up a…
Use when contributing to the Butterbase codebase, adding new MCP tools, creating API routes, writing migrations, or understanding…
Use when users report access denied errors, see wrong data, RLS policies are not working, or when troubleshooting Row-Level…
You MUST use this before any creative work - creating features, building components, adding functionality, modifying behavior, or…
Ask which skill or flow fits your situation. A router over the skills in this repo.