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Lobster

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

272 stars

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/lobster/SKILL.md --create-dirs "https://raw.githubusercontent.com/TermiX-official/cryptoclaw/main/extensions/lobster/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/lobster/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How Lobster Compares

Feature / AgentLobsterStandard Approach
Platform SupportmultiLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

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

Which AI agents support this skill?

This skill is compatible with multi.

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

SKILL.md Source

# 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 intent                                            | Use 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