paid-agent
Builds and deploys a production-ready paid Lucid Agent from user requirements. Scaffolds with CLI, implements entrypoints, reviews code, tests, publishes to GitHub, and deploys to Railway. Use when: "create a paid agent for X", "build and deploy an agent", "make a monetized agent". Not for: automated topic discovery (agent-factory) or platform-hosted JS handlers (lucid-agent-creator).
Install
npx skillscat add daydreamsai/skills-market/paid-agent Install via the SkillsCat registry.
The paid-agent skill creates a production-ready paid Lucid Agent from user requirements, scaffolding the project, implementing entrypoints, testing, and deploying to GitHub and Railway. It solves the need to build and monetize custom agents without manual setup. Use it when you need to create a paid agent for a specific use case.
Paid Agent Pipeline
Step 1: Gather Requirements
Ask the user for:
- What the agent does
- Agent name (kebab-case)
- Endpoints — which are free vs paid, and pricing
- Deploy now?
Step 2: Scaffold
bunx @lucid-agents/cli {agent-name} --adapter=hono --non-interactive
cd {agent-name}
bun installStep 3: Implement Entrypoints
Edit src/index.ts to add entrypoints. Use lucid-agents-sdk skill for API patterns.
At least 1 free + N paid endpoints. All must return real data.
Step 4: Test
bun test
bun run dev
curl -X POST http://localhost:3000/entrypoints/{key}/invoke \
-H 'Content-Type: application/json' -d '{"input": { ... }}'Step 5: Code Review
Skill("feature-dev:code-reviewer")Fix issues, re-run tests.
Step 6: Push to GitHub
git init
git add src/ package.json tsconfig.json .gitignore README.md
Skill("commit")
gh repo create {agent-name} --public --source=. --remote=origin --push --description "{description}"Step 7: Deploy (Optional)
Skill("railway-deploy")Step 8: Summary
Report to user: GitHub URL, Railway URL (if deployed), endpoint table with prices, curl examples.
Install
npx skillscat add daydreamsai/skills-market/paid-agent Install via the SkillsCat registry.