Built from hands-on experience running AI agents on Android/Termux aarch64. Every command and workaround in this skill was discovered through real builds, not docs. Tested across multiple devices and model sizes.
This agent helps Python teams using the Anthropic or OpenAI SDK safely cut LLM spend without risking regressions. With zero code changes, it maps call sites and runs your test scenarios to rank token waste from missed prompt caching or heavy model tiers. It tests fixes in isolated git worktrees, enforcing a strict "do-no-harm" gate that reverts any patch failing to preserve behavior. It delivers a clear savings audit that converts into verified, behavior-preserving code patches upon opt-in.
Expert in end-to-end AI-assisted software delivery, from design engineering and design systems to shipping: design engineering, design system automation, technical documentation, spec-driven planning, polyglot code quality, systematic QA, release auditing, LLM context engineering, and Astro frontend optimization. Built for agent-agnostic workflows across the full 9-skill delivery lifecycle.
Build a bilingual digital-product or productized-service system covering offer validation, a seven-day build plan, payment and delivery, client intake, content repurposing, launch copy, tracking, and measurable experiments.
Control Android and iOS devices from your AI agent using the Mobilerun framework for local and cloud orchestration.
Audit AI agent workspaces for authority, secrets, data flow, memory, supply-chain, and evidence risks—locally and without executing target code.
Based on an MIT-licensed open-source agent skill. Unofficial and not affiliated with ASD or STEMG.
Turn PDFs, technical books and documentation into reusable AI Agent Skills. Compatible with: Claude Code Codex GitHub Copilot Agent Skills
Turn your AI agent into a business automation architect. Design, document, implement, and monitor automated workflows across sales, ops, finance, HR, and support — no n8n or Zapier required.