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BytesAgain β€Ί Skills β€Ί Digital Labour
πŸ¦€ ClawHub

Digital Labour

by @resonanceenergy

24 AI agents for business automation - sales outreach, lead gen, content creation, SEO, ad copy, bookkeeping, proposals, market research, business plans, tec...

Versionv1.0.0
Downloads480
#clawhub
TERMINAL
clawhub install digital-labour

πŸ“– About This Skill

name: digital-labour version: 1.0.0 description: "24 AI agents for business automation - sales outreach, lead gen, content creation, SEO, ad copy, bookkeeping, proposals, market research, business plans, tech docs, data entry, web scraping, CRM ops, and more. Multi-agent pipelines with QA verification on every output. Powered by GPT-4o, Claude, Gemini, and Grok." tags: [ai-agents, business-automation, sales, lead-generation, content-creation, seo, bookkeeping, proposals, market-research, freelancing, saas, api] author: Resonance Energy homepage: https://bitrage-labour-api-production.up.railway.app metadata: author: Resonance Energy version: "1.0.0" openclaw: emoji: ⚑ homepage: "https://bitrage-labour-api-production.up.railway.app" requires: env: - DIGITAL_LABOUR_API_URL bins: - python3 primaryEnv: DIGITAL_LABOUR_API_URL compatibility: "Requires Python 3.6+ (stdlib only, no pip installs). Requires DIGITAL_LABOUR_API_URL environment variable (defaults to production API)."

⚑ Digital Labour β€” 24 AI Agents for Business Automation

> Your entire back-office, automated. Run any of 24 specialized AI agents through plain English. Sales outreach, lead generation, content repurposing, SEO, ad copy, bookkeeping, proposals, market research, tech docs β€” all with built-in QA verification.

Quick Start

Set your API URL (or use the default production endpoint): 

export DIGITAL_LABOUR_API_URL="https://bitrage-labour-api-production.up.railway.app"

Test the connection: 

python3 {baseDir}/scripts/dl-api.py health

Run an agent: 

python3 {baseDir}/scripts/dl-api.py run support_ticket '{"ticket_text": "My order has not arrived after 2 weeks"}'

Available Agents (24 Total)

Revenue & Sales (5 agents)

| Agent | Command | What it does | |-------|---------|-------------| | sales_outreach | run sales_outreach '{"company":"Stripe","role":"Head of Sales"}' | Company research + 3-email outreach sequence | | lead_gen | run lead_gen '{"industry":"fintech","region":"North America"}' | Generate qualified lead lists for any industry | | email_marketing | run email_marketing '{"product":"SaaS CRM","audience":"small business owners"}' | Full email campaign with subject lines + body copy | | proposal_writer | run proposal_writer '{"project":"Website redesign","client_name":"Acme Corp"}' | Professional project proposals with pricing | | ad_copy | run ad_copy '{"product":"AI writing tool","platform":"google"}' | Platform-optimized ad copy (Google/Facebook/Instagram) |

Content & Marketing (4 agents)

| Agent | Command | What it does | |-------|---------|-------------| | content_repurpose | run content_repurpose '{"content":""}' | Repurpose content into tweets, LinkedIn, newsletters | | seo_content | run seo_content '{"keyword":"AI automation","content_type":"blog"}' | SEO-optimized content (blog/landing/pillar pages) | | social_media | run social_media '{"topic":"AI trends","platform":"linkedin","cta_goal":"drive signups"}' | Platform-native social posts with CTAs | | press_release | run press_release '{"announcement":"Product launch","company":"Bitrage"}' | PR-ready press releases |

Operations & Data (4 agents)

| Agent | Command | What it does | |-------|---------|-------------| | data_entry | run data_entry '{"source_data":"","output_format":"CSV"}' | Structure and clean raw data | | web_scraper | run web_scraper '{"source_url":"https://example.com","extraction_target":"pricing"}' | Extract structured data from web pages | | crm_ops | run crm_ops '{"contact_data":"","action":"segment"}' | CRM updates, segmentation, and reporting | | bookkeeping | run bookkeeping '{"transactions":"","period":"monthly"}' | Transaction categorization and financial reports |

Documents & Research (4 agents)

| Agent | Command | What it does | |-------|---------|-------------| | doc_extract | run doc_extract '{"document_text":"","doc_type":"invoice"}' | Extract structured data from invoices, contracts, resumes | | market_research | run market_research '{"topic":"electric vehicles","depth":"detailed"}' | Market analysis at overview/detailed/comprehensive depth | | business_plan | run business_plan '{"business_idea":"AI tutoring app","market":"K-12 education"}' | Full business plans with financial projections | | tech_docs | run tech_docs '{"code_or_api":"","doc_type":"api"}' | API docs, READMEs, and tutorials |

Professional Services (3 agents)

| Agent | Command | What it does | |-------|---------|-------------| | support_ticket | run support_ticket '{"ticket_text":""}' | Categorize, prioritize, draft reply for support tickets | | product_desc | run product_desc '{"product_specs":"","tone":"luxury"}' | Product descriptions in any tone | | resume_writer | run resume_writer '{"career_data":"","target_industry":"tech"}' | ATS-optimized resumes for any industry |

Management Layer (4 agents)

| Agent | Command | What it does | |-------|---------|-------------| | context_manager | Internal orchestration | Maintains context across multi-agent pipelines | | qa_manager | Internal orchestration | Quality assurance on every agent output | | production_manager | Internal orchestration | Workflow scheduling and resource allocation | | automation_manager | Internal orchestration | Autonomous task routing and retry logic |

Helper Script

scripts/dl-api.py β€” Python script (stdlib only) for all API operations.

Commands: | Command | Description | |---------|-------------| | health | Check API health status | | agents | List all available agents with input schemas | | run | Run a specific agent with JSON inputs | | batch | Run multiple agents from a JSON batch file |

Examples: 

# Check health
python3 {baseDir}/scripts/dl-api.py health
List all agents

python3 {baseDir}/scripts/dl-api.py agents
Generate sales outreach

python3 {baseDir}/scripts/dl-api.py run sales_outreach '{"company":"Tesla","role":"VP Engineering"}'
Write a business plan

python3 {baseDir}/scripts/dl-api.py run business_plan '{"business_idea":"AI-powered pet care app","market":"pet owners 25-45"}'
Generate SEO content

python3 {baseDir}/scripts/dl-api.py run seo_content '{"keyword":"remote work tools 2026","content_type":"pillar"}'
Run a batch of tasks

python3 {baseDir}/scripts/dl-api.py batch {baseDir}/examples/batch.json

Batch Processing

Create a JSON file with multiple tasks: 

[
  {"agent": "sales_outreach", "inputs": {"company": "Stripe", "role": "CTO"}},
  {"agent": "ad_copy", "inputs": {"product": "AI CRM", "platform": "facebook"}},
  {"agent": "seo_content", "inputs": {"keyword": "business automation", "content_type": "blog"}}
]

Run them all: 

python3 {baseDir}/scripts/dl-api.py batch tasks.json

Multi-Agent Workflows

Chain agents together for complex operations:

Lead-to-Close Pipeline: 1. lead_gen β†’ find prospects in target industry 2. market_research β†’ understand their pain points 3. sales_outreach β†’ personalized outreach sequence 4. proposal_writer β†’ ready proposal when they respond

Content Engine: 1. market_research β†’ trending topics in your niche 2. seo_content β†’ long-form SEO blog post 3. content_repurpose β†’ tweets, LinkedIn, newsletter from that post 4. social_media β†’ platform-native posts with CTAs 5. ad_copy β†’ paid promotion copy

Client Onboarding: 1. doc_extract β†’ pull data from client documents 2. data_entry β†’ structure into your system format 3. bookkeeping β†’ set up financial tracking 4. crm_ops β†’ create CRM records

API Details

  • Base URL: https://bitrage-labour-api-production.up.railway.app
  • Universal Endpoint: POST /v1/run
  • Agent List: GET /agents
  • Health Check: GET /health
  • Docs: GET /docs
  • LLM Providers: OpenAI (GPT-4o), Anthropic (Claude), Google (Gemini), xAI (Grok)
  • QA: Every output passes through QA verification before returning

    • Environment Variables

    | Variable | Required | Default | Description | |----------|----------|---------|-------------| | DIGITAL_LABOUR_API_URL | Yes | https://bitrage-labour-api-production.up.railway.app | API base URL | | DIGITAL_LABOUR_API_KEY | No | *(none)* | Optional API key for authenticated access |

    Important Notes

  • Each agent call takes 3-15 seconds (real LLM inference, not cached)
  • All outputs include QA verification status
  • The provider field is optional in all agent inputs β€” omit to use the server default
  • Management agents (context_manager, qa_manager, etc.) are internal and run automatically during pipelines
  • Batch mode processes tasks sequentially to respect rate limits
  • All agent outputs are structured JSON with consistent schema

    • πŸ’‘ Examples

    Set your API URL (or use the default production endpoint): 

    export DIGITAL_LABOUR_API_URL="https://bitrage-labour-api-production.up.railway.app"

    Test the connection: 

    python3 {baseDir}/scripts/dl-api.py health

    Run an agent: 

    python3 {baseDir}/scripts/dl-api.py run support_ticket '{"ticket_text": "My order has not arrived after 2 weeks"}'