Lobster
Lobster executes multi-step workflows with approval checkpoints. Use it when:
Best use case
Lobster is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Lobster executes multi-step workflows with approval checkpoints. Use it when:
Teams using Lobster should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/lobster/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How Lobster Compares
| Feature / Agent | Lobster | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Lobster executes multi-step workflows with approval checkpoints. Use it when:
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
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