December 21, 2025•10 min read•Manish
Anthropic Skills Can Be Programmatically Optimized (Using DSPy)
Are the Skills already optimized at the job they are supposed to do? Or can we make it even better?
BlogSkillsOptimizationAnthropicOpenAI
Insights, tutorials, and best practices for building secure AI agents and sandboxed execution environments.
Are the Skills already optimized at the job they are supposed to do? Or can we make it even better?
Teaching AI agents to find security vulnerabilities by distilling 4,000 paid HackerOne bug bounty reports — from PDF cracking to API hacking with CLI tools.
Learn how to use InstaVM as the code execution backend for DSPy's Program of Thought module, enabling secure Python code execution for LLM-powered reasoning.
Anti-patterns observed while working extensively with LLMs — from redundant context to over‑engineering.
We wanted to let people import their skills from Claude and use it locally — no cloud dependencies, maximum privacy.
Our Open sourced implementation received financial sponsorship from Microsoft and GitHub
Building a completely offline AI workspace with local LLMs, sandboxed code execution, and browser automation — no cloud dependencies, maximum privacy.