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fufankeji/vibecodingcourse_v1/lobster

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PublishedSeptember 30, 2026 at 02:24 AM
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version: "1.0.1"


Lobster

Lobster executes multi-step workflows with approval checkpoints. Use it when:

  • User wants a repeatable automation (triage, monitor, sync)
  • Actions need human approval before executing (send, post, delete)
  • Multiple tool calls should run as one deterministic operation

When to use Lobster

User intentUse Lobster?
"Triage my email"Yes — multi-step, may send replies
"Send a message"No — single action, use message tool directly
"Check my email every morning and ask before replying"Yes — scheduled workflow with approval
"What's the weather?"No — simple query
"Monitor this PR and notify me of changes"Yes — stateful, recurring

Basic usage

Run a pipeline

json
{
"action": "run",
"pipeline": "gog.gmail.search --query 'newer_than:1d' --max 20 | email.triage"
}

Returns structured result:

json
{
"protocolVersion": 1,
"ok": true,
"status": "ok",
"output": [{ "summary": {...}, "items": [...] }],
"requiresApproval": null
}

Handle approval

If the workflow needs approval:

json
{
"status": "needs_approval",
"output": [],
"requiresApproval": {
"prompt": "Send 3 draft replies?",
"items": [...],
"resumeToken": "..."
}
}

Present the prompt to the user. If they approve:

json
{
"action": "resume",
"token": "<resumeToken>",
"approve": true
}

Example workflows

Email triage

gog.gmail.search --query 'newer_than:1d' --max 20 | email.triage

Fetches recent emails, classifies into buckets (needs_reply, needs_action, fyi).

Email triage with approval gate

gog.gmail.search --query 'newer_than:1d' | email.triage | approve --prompt 'Process these?'

Same as above, but halts for approval before returning.

Key behaviors

  • Deterministic: Same input → same output (no LLM variance in pipeline execution)
  • Approval gates: approve command halts execution, returns token
  • Resumable: Use resume action with token to continue
  • Structured output: Always returns JSON envelope with protocolVersion

Don't use Lobster for

  • Simple single-action requests (just use the tool directly)
  • Queries that need LLM interpretation mid-flow
  • One-off tasks that won't be repeated
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