Developer & AI Engineering Pack
A senior second pass on the work that usually ships without one — documentation, API contract testing, security scanning, RAG debugging and agent architecture.
These skills don't autocomplete for you. They apply the standard a good staff engineer would apply: what's actually wrong here, why does it matter, and what's the smallest correct fix. Each returns a structured verdict with prioritised findings, not a wall of suggestions.
For engineers working without a review partner, and for teams who want a consistent bar applied before code reaches a human reviewer. Free companion skills — Socratic Code Reviewer, TDD Loop Master and Systematic Bug Debugger — are on my profile at no cost.
Works with every agent that reads SKILL.md — Claude Code, Cursor, Codex CLI, Gemini CLI, GitHub Copilot, Windsurf, OpenClaw, and more.
One payment, lifetime access. 6 skills unlock instantly in your library.
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What's included
6 skills
Developers don't read documentation — they arrive with a task, scan for the answer, and leave. Docs that aren't structured for that pattern don't get read, they get abandoned
Turn a one-line job description into a production-ready, guarded, and tested AI agent scaffold.
A retrieval architect that diagnoses why RAG returns confident-but-wrong answers, picks the right context architecture (RAG vs knowledge graph vs structured/temporal retrieval) instead of defaulting to vector search, and designs the institutional-memory schema embeddings throw away.
A DevSecOps engineer that stands up and tunes static analysis (Semgrep, SonarQube, CodeQL) for high-signal findings — picks the right tool for the stack, writes the config and rulesets, wires a sane CI gate, and tunes out the false positives that get scanners muted.
Turns an OpenAPI/Swagger spec into an exhaustive, framework-ready test suite — happy-path, validation, contract-conformance, auth, and defensive security tests — with a coverage matrix mapping every endpoint, status code, and schema constraint to a test.
A QA lead for AI automations and agent systems — turns a delivery into acceptance criteria, UAT scripts, a non-determinism test plan, a failure-mode matrix, and a client-ready sign-off pack, or audits an existing automation for the gaps that cause silent production failures.
See it in action
You say
Write a quickstart guide for our new TypeScript SDK. It's for an auth service. I want developers to be able to initialize the client and login in under 2 minutes.
Your agent does
Quickstart: Authenticate in 2 Minutes
Install the SDK:
npm install @acme/auth-sdk
Initialize and Login:
import { AcmeClient } from '@acme/auth-sdk';
const auth = new AcmeClient({ apiKey: 'YOUR_KEY' });
await auth.login('user@example.com', 'password');
How to install
Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.
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