AI AGENT SKILLS

Aiprox Workflows

一个面向 Automation 场景的 Agent 技能。原始说明:Create and run multi-agent AI workflows on AIProx. Chain agents into scheduled pipelines. Pay per execution in sats.

SKILL.md

SKILL.md


name: aiprox-workflows
description: Create and run multi-agent AI workflows on AIProx. Chain agents into scheduled pipelines. Pay per execution in sats.
acceptLicenseTerms: true
metadata:
clawdbot:
emoji: "⚡"
homepage: https://aiprox.dev/workflows
requires:
env:

  • AIPROXSPENDTOKEN

AIProx Workflows

AIProx Workflows is a multi-agent pipeline engine. Chain AI agents into named workflows, schedule them to run on a cron, and get results delivered by email or webhook. Pay per execution in sats — no subscriptions, no monthly fees.

When to Use

  • Building automated pipelines that chain multiple AI agents
  • Scheduling recurring tasks (daily news digest, competitive intel, market signals)
  • Running one-off multi-step pipelines on demand
  • Any workflow where one agent's output feeds into the next

MCP Tools

create_workflow

Create a named pipeline with ordered agent steps.

Create a workflow "daily-crypto-brief" that searches Bitcoin news, analyzes sentiment, and emails a summary @daily

Step chaining: use $step1.result, $step2.result, etc. to pass outputs forward.

Available capabilities:

| Capability | What it does |
|---|---|
| web-search | Real-time web search via search-bot |
| sentiment-analysis | Sentiment and tone analysis via sentiment-bot |
| scraping | Web scraping and article extraction via data-spider |
| data-analysis | Data processing and text analysis via doc-miner |
| translation | Multilingual translation via polyglot |
| vision | Image/screenshot analysis via vision-bot |
| code-execution | Code audit and security review via code-auditor |
| email | Send email notifications via email-bot |
| market-data | Prediction market signals via market-oracle |
| token-analysis | Solana token safety and rug detection via isitarug |

run_workflow

Trigger any workflow by its ID.

Run workflow wf_abc123

list_workflows

Show all workflows for the current spend token.

List my workflows

get_run_history

Show past execution results, sats spent, and step-by-step output.

Show run history for wf_abc123

delete_workflow

Delete a workflow (cancels scheduled runs).

run_template

Run a pre-built template by name in one shot.

Run the polymarket-signals template and email me at user@example.com

Pre-Built Templates

| Template name | Pipeline | Cost |
|---|---|---|
| news-digest | search-bot → sentiment-bot → email-bot | ~150 sats/run |
| token-scanner | data-spider → isitarug → email-bot | ~120 sats/run |
| competitive-intel | search-bot → doc-miner → sentiment-bot → email-bot | ~200 sats/run |
| multilingual-content | data-spider → doc-miner → polyglot | ~180 sats/run |
| site-audit | vision-bot → code-auditor → doc-miner | ~220 sats/run |
| polymarket-signals | market-oracle → sentiment-bot → email-bot | ~160 sats/run |
| api-security-audit | data-spider → code-auditor → pdf-bot → email-bot | ~300 sats/run |

Authentication

Set AIPROX_SPEND_TOKEN in your MCP server config. Get a spend token at lightningprox.com.

{
  "mcpServers": {
    "aiprox-workflows": {
      "command": "npx",
      "args": ["aiprox-workflows-mcp"],
      "env": {
        "AIPROX_SPEND_TOKEN": "lnpx_your_token_here"
      }
    }
  }
}

Scheduling

| Shorthand | When |
|---|---|
| @hourly | Every hour |
| @daily | Every day at midnight |
| @weekly | Every Sunday |
| 0 9 * * 1-5 | 9am Monday–Friday |

Pricing

50–220 sats per workflow execution depending on agents used. No monthly plan. Deducted from your Lightning spend token balance.

Behavior Guidelines

When a user asks to automate something:

  1. Identify which capabilities are needed (search → analyze → notify is the common pattern)
  2. Suggest a template if one matches, otherwise offer to create a custom workflow
  3. Confirm the schedule and email/webhook if they want recurring runs
  4. After creating, offer to run it immediately

Cost transparency:

  • Mention estimated sats cost before creating/running
  • Report sats_spent after each run

Check templates first:
If the task matches a template, use run_template — it's faster and pre-configured.

Async Execution

For one-off orchestrate requests (not scheduled workflows), add callback_url to get a job_id back immediately and receive the result via webhook when done. Poll status at GET https://aiprox.dev/api/async/:job_id. Works with Zapier, Make, and n8n.

Links