Works with the AI tools you already use
Agent Scaffold Builder
Turn a one-line job description into a production-ready, guarded, and tested AI agent scaffold.
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See it in action
You say
Scaffold an agent to monitor competitor pricing and draft a Slack summary.
Your agent does
=== AGENT CONCEPT ===
Mission: Track competitor pricing changes and notify the team. Assumptions: Runs weekly, uses browser tool for scraping, writes to Slack.
=== SYSTEM PROMPT ===
[Code block with role: Price Analyst, strict formatting rules, and escalation paths...]
What you get
About this skill
The problem
Building production-ready AI agents requires more than just a good prompt. Developers often struggle with scope creep, missing guardrails, and lack of structured memory, leading to agents that are unreliable or risky to deploy.
What it does
- Generates a complete agent charter with measurable goals and strict non-goals.
- Produces paste-ready system prompts and universal SKILL.md scaffolds for various runtimes.
- Maps out tool integrations with specific access levels and failure behaviors.
- Designs a three-tier guardrail system separating autonomous, approval-gated, and forbidden actions.
- Builds a comprehensive test suite including happy-path, edge-case, and prompt-injection scenarios.
Frameworks & tools
Compatible with Claude Code, Cursor, MCP, and any SKILL.md-compatible agent environment.
Why this beats prompting it yourself
Standard LLM prompts often ignore operational realities like state management and failure recovery. This tool enforces a senior architect's rigor, ensuring every agent has a deployment checklist, a recovery plan, and a client-ready handoff document from the start.
Use cases
- Architecting a support inbox triaging agent with human-in-the-loop approval gates.
- Designing a competitor price monitor with structured file-based memory.
- Building a weekly client report drafter with specific non-goals to prevent hallucinations.
- Scaffolding a specialized dev-tool agent with tiered filesystem access permissions.
Known limitations
This skill provides the architecture and code scaffolds but does not perform the actual deployment or API credential management.
How to install
Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.
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