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 agents build stage of the Butterbase journey. Implements the Agents section of 02-plan.md by delegating to the `agents` skill for each agent. Registers any required MCP servers, validates each graph_spec, creates the agent, and smokes it via invoke_agent. Skipped if
$ npx -y skills add butterbase-ai/butterbase-skills --skill journey-agents --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/journey-agentsContext preview
The summary Claude sees to decide when to auto-load this skill.
Use as the agents build stage of the Butterbase journey. Implements the Agents section of 02-plan.md by delegating to the `agents` skill for each agent. Registers any required MCP servers, validates each graph_spec, creates the agent, and smokes it via invoke_agent. Skipped if
name: journey-agents description: Use as the agents build stage of the Butterbase journey. Implements the Agents section of 02-plan.md by delegating to the `agents` skill for each agent. Registers any required MCP servers, validates each graph_spec, creates the agent, and smokes it via invoke_agent. Skipped if the plan has no agents.
Build the agents described in `02-plan.md`. Order: MCP servers first (probe must pass before any agent references them) → agents → smoke runs.
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: "agents"`. If the cache (`docs/butterbase/03b-docs-cache.md`) already covers agents, skip.
1. **Register MCP servers first.** For each MCP server in the plan:
2. **Build each agent.** For each agent in the plan, in order: a. Print: `"About to build agent: <name> (visibility=<v>, tools=<n builtin / m mcp / k function>). Proceed?"`. Wait for `yes`. b. Invoke `butterbase-skills:agents` via the Skill tool with: agent name, intended behaviour, plan-derived tool list, model preference, visibility/limits. The wrapped skill drafts the `graph_spec`, writes it to `agents/<name>.json` in the project repo, and calls `validate_agent_spec`. c. If validation fails, surface the Zod issues and loop the agents skill to fix. d. **Safety gate.** If `visibility != 'private'` AND any node can reach a write tool (`insert_row`, `update_row`, `delete_row`, `write_storage`, or any `read_write`-mode MCP/function tool), explicitly ask: `"This agent is reachable by <visibility> callers and can write data. Set safety_acknowledged=true? (yes / change to private / reduce tools)"`. Do not proceed silently. e. `create_agent` with the validated spec. f. Smoke: `invoke_agent` with a representative input. Poll `get_agent_run` until terminal. If the run errors, debug per the `agents` skill's debugging procedure; otherwise show the user the final output. g. Append one line per agent to `docs/butterbase/04-build-log.md`: `<ISO timestamp> agents create_agent <agent-name> ok (run smoke=<run_id>)`
3. **Persist specs to the repo.** Confirm `agents/<name>.json` files are tracked locally. They will be carried by `butterbase repo push` (run by the `templates` stage if the user is publishing, or any time the user pushes a snapshot). This is the only way a clone recipient can recreate the agents — the `agents` table is **not** part of clone replay.
4. **Tick state.** Mark `- [x] agents` in `00-state.md`, set `current_stage` to the next unchecked stage.
5. 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