Search Skills

Guides QEMU virtual machine setup, serial console configuration, ISO booting, and startup troubleshooting with pre-flight checks and idempotent procedures.

Extracts text, letters, or symbols encoded as movement commands in G-code files for 3D printing, CNC, and laser cutting applications.

Automates multi-person scheduling by resolving complex constraints across calendars, availability, and preferences to find optimal meeting times.

Guides installation and remote access setup for Windows 3.11 in QEMU using VNC and noVNC for retro computing environments.

Counts tokens in datasets using specified tokenizers, supporting filtering and aggregation for NLP tasks and AI model preparation.

Guides accurate token counting in datasets from HuggingFace, including schema analysis and tokenizer usage to prevent data errors.

Guides removal of API keys, tokens, and credentials from Git repositories to prevent security breaches and ensure compliance.

Configures Nginx server blocks with custom logging formats, rate limiting, and static content serving capabilities.

Reconstructs PyTorch models from state dictionaries, checkpoints, or partial artifacts, enabling architecture inference and recovery without original source code.

Guide for managing isolated message threads in agent-based chat applications using Letta Conversations API, enabling multi-user session handling and context separation.

Guides implementation of adaptive rejection sampling (ARS) for generating random samples from log-concave distributions in statistical computing.

Guides DNA insertion primer design for site-directed mutagenesis using Q5 kits, including verification and common pitfalls for plasmid insertion via PCR.

Extracts text from PDFs (including scanned documents via OCR) for AI/ML processing, RAG systems, and document analysis.

Guides MCMC sampling for Bayesian models using RStan or PyStan, including hierarchical models and diagnostics.

Enables agents to identify learning patterns, validate improvements, and contribute to a collective knowledge base for continuous educational growth.

Guides building legacy applications from Debian/Ubuntu source packages, covering dependency removal and headless compilation.

Extracts text-based game commands from video recordings using OCR and frame analysis, with domain-specific validation and deduplication.

Guides cross-compilation of C programs (e.g., DOOM) for embedded MIPS targets with limited stdlib and custom VM runtimes.

Builds persistent agent applications using the Letta API with Python and TypeScript SDK examples.

Provides CLI tools for biological cell segmentation using SAM, mask-to-polygon conversion, and microscopy data processing with CSV outputs.

Guides reverse engineering of path tracing and ray tracing programs from binaries to achieve pixel-perfect output through algorithm reconstruction and floating-point analysis.

Enables Bayesian network structure recovery, parameter learning, causal inference via do-calculus, and sample generation from modified networks.

Provides guidance for implementing custom compression encoders compatible with existing decoders, particularly for arithmetic coding schemes.

Guides reverse engineering of compiled binaries to recreate source code with byte-for-byte accuracy, focusing on algorithm extraction and behavioral replication.