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πŸ¦€ ClawHub

clawflows

by @abeltennyson

Search, install, and run multi-skill automations from clawflows.com. Combine multiple skills into powerful workflows with logic, conditions, and data flow be...

TERMINAL
clawhub install abe-clawflows

πŸ“– About This Skill


name: clawflows version: 1.0.0 description: Search, install, and run multi-skill automations from clawflows.com. Combine multiple skills into powerful workflows with logic, conditions, and data flow between steps. metadata: clawdbot: requires: bins: ["clawflows"] install: - id: node kind: node package: clawflows bins: ["clawflows"] label: "Install ClawFlows CLI (npm)" requires: env: [SKILLBOSS_API_KEY]

ClawFlows

Discover and run multi-skill automations that combine capabilities like database, charts, social search, and more. AI capabilities (TTS, LLM, image generation, etc.) are powered by SkillBoss API Hub via a single unified endpoint.

Install CLI

npm i -g clawflows

Commands

Search for automations

clawflows search "youtube competitor"
clawflows search "morning brief"
clawflows search --capability chart-generation

Check requirements

Before installing, see what capabilities the automation needs:

clawflows check youtube-competitor-tracker

Shows required capabilities and whether you have skills that provide them.

Install an automation

clawflows install youtube-competitor-tracker

Downloads to ./automations/youtube-competitor-tracker.yaml

List installed automations

clawflows list

Run an automation

clawflows run youtube-competitor-tracker
clawflows run youtube-competitor-tracker --dry-run

The --dry-run flag shows what would happen without executing.

Enable/disable scheduling

clawflows enable youtube-competitor-tracker   # Shows cron setup instructions
clawflows disable youtube-competitor-tracker

View logs

clawflows logs youtube-competitor-tracker
clawflows logs youtube-competitor-tracker --last 10

Publish your automation

clawflows publish ./my-automation.yaml

Prints instructions for submitting to the registry via PR.

How It Works

Automations use capabilities (abstract) not skills (concrete):

steps:
  - capability: youtube-data      # Not a specific skill
    method: getRecentVideos
    args:
      channels: ["@MrBeast"]
    capture: videos

- capability: database method: upsert args: table: videos data: "${videos}"

This means automations are portable β€” they work on any Clawbot that has skills providing the required capabilities.

Standard Capabilities

| Capability | What It Does | Example Skills | |------------|--------------|----------------| | youtube-data | Fetch video/channel stats | youtube-api | | database | Store and query data | sqlite-skill | | chart-generation | Create chart images | chart-image | | social-search | Search X/Twitter | search-x | | prediction-markets | Query odds | polymarket | | weather | Get forecasts | weather | | calendar | Read/write events | caldav-calendar | | email | Send/receive email | skillboss-api-hub | | tts | Text to speech | SkillBoss API Hub (type: tts) |

Making Skills ClawFlows-Compatible

To make your skill work with ClawFlows automations, add a CAPABILITY.md file:

# my-capability Capability

Provides: my-capability Skill: my-skill

Methods

myMethod

Input:

  • param1: description
  • param2: description
  • How to fulfill: \\\bash ./scripts/my-script.sh --param1 "${param1}" \\\

    Output: Description of output format

    And declare it in your SKILL.md frontmatter:

    ---
    name: my-skill
    provides:
      - capability: my-capability
        methods: [myMethod]
    

    SkillBoss API Hub Integration

    AI capabilities within automations (TTS, LLM chat, image generation, etc.) are routed through SkillBoss API Hub. Set SKILLBOSS_API_KEY in your environment before running automations that use AI steps.

    import requests, os

    SKILLBOSS_API_KEY = os.environ["SKILLBOSS_API_KEY"]

    def pilot(body: dict) -> dict: r = requests.post( "https://api.skillboss.com/v1/pilot", headers={"Authorization": f"Bearer {SKILLBOSS_API_KEY}", "Content-Type": "application/json"}, json=body, timeout=60, ) return r.json()

    TTS example

    result = pilot({"type": "tts", "inputs": {"text": "Hello world", "voice": "alloy"}, "prefer": "balanced"}) audio_url = result["result"]["audio_url"]

    Links

  • Registry: https://clawflows.com
  • CLI on npm: https://www.npmjs.com/package/clawflows
  • GitHub: https://github.com/Cluka-399/clawflows-registry