Browse Skills

Server API Change Verification verifies server and API changes by starting a server, sending curled requests that hit changed code paths, and comparing the full response to expected behavior. Use it when reviewing code changes to confirm new headers, status codes, or rate-limit behavior actually work.

Verify drives the affected runtime surface of a code change to observe behavior end-to-end, providing evidence that the change works before commit. Use it before committing nontrivial changes, not for tests-only or docs-only diffs.

Verify CLI Changes provides an example workflow for verifying a CLI change by building, running the command with relevant arguments, and comparing stdout/stderr and exit codes to expected results. Use it when you need to verify that a CLI modification works as claimed without introducing regressions.

Image to 3D Blueprint analyzes a 2D reference image and outputs a strict 3D production blueprint in JSON, identifying sub-meshes, PBR materials, primitive shapes, boolean operations, and normal-map details.

Img2threejs turns a reference image into a code-only, procedural Three.js model using a staged sculpting pipeline with quality gates and an AI-vision self-correction loop. Use it when you need an animation-ready 3D asset, character model, or material study rebuilt from a photo rather than photogrammetry or mesh extraction.

Orchestrates end-to-end autonomous AI research projects using a two-loop architecture for rapid experiment iteration and synthesis. Routes to domain-specific skills, supports continuous operation, and produces research presentations and papers.

AWQ Quantization compresses large language models to 4-bit with activation-aware weight selection. Use it to deploy 7B-70B models on limited GPU memory while keeping accuracy loss low.

Comprehensive guidance for fine-tuning LLMs using Axolotl, including YAML configuration, 100+ model support, LoRA/QLoRA, DPO/KTO/ORPO/GRPO, and multimodal training.

BigCode Evaluation Harness evaluates code generation models on HumanEval, MBPP, MultiPL-E, and other benchmarks with pass@k metrics. Use it to benchmark coding ability, compare models, and measure multi-language code generation quality.

Bitsandbytes Model Quantization loads LLMs in 8-bit or 4-bit to cut GPU memory use and fit larger models. Use it for Hugging Face Transformers inference, QLoRA fine-tuning, or 8-bit optimizers when VRAM is limited.

Constitutional AI trains models with self-critique, revision, and AI feedback to reduce harmful outputs without human labels. Use it when you need safety alignment or a clear set of principles for model behavior.

DeepSpeed provides guidance for distributed training with ZeRO optimization, pipeline parallelism, mixed precision, 1-bit Adam, and sparse attention. Use it when implementing, tuning, or debugging DeepSpeed-based training workflows.