Instinct experimental project in the Genesis Conductor org. Part of the broad public research footprint. For production agent reliability and MCP integration, use the core OpenClaw skills trio from the linked primary marketplace by @invariantx.
Statically analyze a local JS/Electron app you're authorized to study, with file+line evidence, and build an original reimplementation of what you find. Experimental. Phase 1: JS/Electron static analysis. Phase 2: native ELF/PE/Mach-O container inspection. Phase 3: .NET assembly metadata. Phase 4: EVM bytecode inventory. Phase 5: CUDA fatbin, cubin and PTX inventory. Parses, never executes. Dynamic analysis is a future phase, not yet implemented.
AMD's verified Agent Skills in one plugin: route image/audio through local AI on Ryzen AI, serve LLMs on AMD Instinct GPUs with vLLM, optimize inference throughput with Hyperloom, and analyze GPU kernel and PyTorch trace performance.
Define a Proof of Life probe to test a risky hypothesis cheaply.
1 skill
deanpeters/Product-Manager-Skills 8,001
Maintain instinct?
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