Agent skills for HTTP / API

Run any question, idea, or decision through a council of 5 AI advisors who independently analyze it, peer-review each other anonymously…

Run multi-LLM council for adversarial debate and cross-validation.

Master comprehensive evaluation strategies for LLM applications, from automated metrics to human evaluation and A/B testing.

Pydantic-AI agents, RAG, embeddings for Pulse Radar knowledge extraction.

Get reliable JSON, enums, and typed objects from LLMs using response_format, tool_use, and schema-constrained decoding across OpenAI…

Demonstrate unbounded resource consumption against an LLM application — token floods, unbounded output, and cost/denial-of-wallet…

Use when building or maintaining a persistent personal knowledge base (second brain) in Obsidian where an LLM incrementally ingests…

Generates seed data from ORM schemas or entity definitions to any target format.

Universal platform artifact cleaner: Replit, StackBlitz, CodeSandbox, Glitch

Configures environment variables and secrets protection.

Configures Husky, lint-staged, commitlint, and Python pre-commit hooks.

Configures structured JSON logging with Serilog (.NET) or structlog (Python).

Verifies bootstrapped projects via build, test, and container health checks.

Builds all detected projects and verifies successful compilation.

Researches competitive benchmarks and generates optimization hypotheses for identified bottlenecks.

Executes optimization hypotheses with keep/discard testing loop.

Reduces JS/TS bundle size via tree-shaking, code splitting, and unused dependency removal.

Produces prioritized triage report from open GitHub issues, PRs, and discussions.

Composes and publishes announcements to GitHub Discussions.

Generates high-quality images, logos, artwork, and avatars directly through the internal LLM gateway using gpt-image-2.

Expert skill for load balancer configuration, algorithms, and high availability design