Agent skill

Journey Agents

by butterbase-ai in butterbase-ai/butterbase-skills

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

MITAuto-check passedAgent Workflows

Install Journey Agents

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

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

GitHub CLI
$ gh skill install butterbase-ai/butterbase-skills journey-agents --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-agents .claude/skills/journey-agents && 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-agents
GitHub stars
534
Token cost
~1.2k tokens
SKILL.md length
602 words
Files
1
Skills in repo
39
Repo updated
First seen
Licence
MIT

At a glance

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

  • Works in 6 steps: Refresh docs. Call butterbase_docs with… → Register MCP servers first. For each MCP… → Build each agent. For each agent in the… → …
  • Tasks that involve MCP servers
  • SKILL.md covers When to use, Preflight, Inputs and Procedure, plus 2 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Journey Agents is an agent skill from butterbase-ai/butterbase-skills. 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 graphspec, creates the agent, and smokes it via invokeagent. Skipped if the plan has no agents.

Its SKILL.md is about 1.2k 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 Agent Workflows, covering MCP servers. It works with Model Context Protocol. The repository describes itself as: Plugin for Butterbase.ai. The licence is MIT.

When your agent uses it

  • Tasks that involve MCP servers

Example prompts

  • “/journey-agents”

Workflow steps

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

  1. Refresh docs. Call butterbase_docs with topic: "agents". If the cache (docs/butterbase/03b-docs-cache.md) already covers agents, skip.
  2. Register MCP servers first. For each MCP server in the plan
  3. Build each agent. For each agent in the plan, in order
  4. Persist specs to the repo. Confirm agents/.json files are tracked locally. They will be carried by butterbase repo push (run by the…
  5. Tick state. Mark - [x] agents 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)").

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

    No URLs in SKILL.md.

    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 Agents loads about 1.2k tokens when it runs. Until then it costs about 79 tokens; SKILL.md has 602 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~79
When it runs · the whole SKILL.md, loaded when a task matches
~1.2k

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). 602 words, ~1,216 tokens.

Download SKILL.mdSave it as .claude/skills/journey-agents/SKILL.md (or your agent's skills folder).
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.

Journey: Agents

Build the agents described in 02-plan.md. Order: MCP servers first (probe must pass before any agent references them) → agents → smoke runs.

When to use

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

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 Agents section (names, purpose, tool list, visibility, MCP servers needed).
  • docs/butterbase/00-state.md — for app_id.
  • Any handcrafted spec files under agents/ in the project (preferred — version-controlled and survives clones).

Procedure

  1. Refresh docs. Call butterbase_docs with topic: "agents". If the cache (docs/butterbase/03b-docs-cache.md) already covers agents, skip.

  2. Register MCP servers first. For each MCP server in the plan:

    • Print: "Registering MCP server '<label>' at <url> (transport=<sse|http|streamable_http>). Proceed?". Wait for yes.
    • Call the MCP-servers registration route (or the dashboard's MCP Servers page if a wrapping MCP tool is not yet available — check butterbase_docs topic agents for the current preferred path).
    • Wait for probe result. If status: unhealthy, surface the error and ask the user to fix (URL, auth header, transport mismatch) before continuing. Do not create agents that reference an unhealthy server.
  3. 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>)

  4. 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.

  5. Tick state. Mark - [x] agents 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)").

Show full SKILL.md (135 more words)Show less

Outputs

  • One or more agents created against the live app.
  • One or more agents/<name>.json spec files in the project repo.
  • One line per agent in docs/butterbase/04-build-log.md.

Anti-patterns

  • ❌ Skipping validate_agent_spec. Bad specs surface as opaque runtime errors after the agent is live.
  • ❌ Creating a public write-capable agent without rate limits or a daily_budget_usd. The runtime requires safety_acknowledged, but you should also pick hourly per-IP and per-app caps.
  • ❌ Hard-coding secrets in system_prompt or args_template. Read them from ctx.env inside a function tool.
  • ❌ Forgetting that the agents table is not replayed on clone. Always commit the spec JSON and document re-import (butterbase agents create -f agents/<name>.json) in the README.
  • ❌ Smoking with visibility: 'private' and calling it good for a public agent. After the smoke, change visibility and re-test with an unauthenticated curl to confirm the public path works.

© 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-agents of butterbase-ai/butterbase-skills.

Open the folder on GitHubat commit aa8ae69

Compare with similar skills

Journey Agents 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 Agents compared with similar skills
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Journey Agents this skillbutterbase-ai/butterbase-skills534—~1.2kAutomated safety check: PassMIT
MCP Server Builderanthropics/skills180k63 repos~2.3kAutomated safety check: PassApache-2.0
MCP Server BuildershareAI-lab/learn-claude-code78k4 repos~1.2kAutomated safety check: PassMIT
MCP Integration for Pluginsanthropics/claude-plugins-official38k11 repos~3.1kAutomated safety check: PassApache-2.0
Crush Configurationcharmbracelet/crush29k—~3.7kAutomated safety check: PassCustom licence
Context Mode Output Sandboxmksglu/context-mode26k—~4.1kAutomated safety check: PassCustom licence

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Categories

Questions about Journey Agents

What does Journey Agents do?

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

When should I use Journey Agents?

Journey Agents fits situations like: tasks that involve MCP servers.

How do I install Journey Agents in Claude Code?

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

How do I install Journey Agents in Codex?

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

Can I use Journey Agents 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-agents -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-agents, .gemini/skills/journey-agents, .github/skills/journey-agents and .opencode/skills/journey-agents in your project.

What does Journey Agents need to run?

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

Does Journey Agents access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Journey Agents 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 Agents use?

Journey Agents 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 Agents use?

About 1.2k tokens (SKILL.md is roughly 4.9k 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 Agents?

Skills that share tags, products or a category with Journey Agents: MCP Server Builder (anthropics/skills, 180k stars), MCP Server Builder (shareAI-lab/learn-claude-code, 78k stars), MCP Integration for Plugins (anthropics/claude-plugins-official, 38k stars) and Crush Configuration (charmbracelet/crush, 29k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Journey Agents?

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.