aisbench

MindStudio-Modeling performance evaluation framework for Ascend NPUs. Provides tensor-cast for model-level analysis and serving-cast-simulation for LLM serving parameter tuning.

3 skills

Ascend NPU hardware entry point — health check, environment setup, shell script template. Starting point for any Ascend workflow.

1 skill

Structured Git commits with WHAT/WHY/HOW format, optimized as AI context for future sessions.

1 skill

Model quantization on Ascend NPUs — W4A8/W8A8/W4A4, one-click and custom YAML, MoE mixed precision, VLM support, accuracy recovery.

1 skill

Verify NPU competition entries — clone work and original model repos, check model class name overlap, validate script syntax, and test runnability.

1 skill

Concise, idiomatic Rust patterns for implementation, review, testing, and required quality checks.

1 skill

Open-source AI job search that runs locally in your AI coding CLI: scan job portals, evaluate listings into a structured A-H report with a 1-5 score, tailor your CV, track applications

5 skills · hooks

5 skills + 35 modes + Material Passport pipeline. Includes v3.6.7 cross-model audit gate and v3.6.8 generator-evaluator contract.

5 skills · 16 commands · 4 agents · hooks

Install the "AAS AI Product & Evaluation Ops" editorial skill bundle for Claude Code.

13 skills

Carta Investors plugin — skills for querying investor data, performance benchmarks, regulatory reporting, AGM deck generation, brand extraction, and more via the Carta MCP Server.

29 skills · hooks

Independent auditing for AI agents, open source. Claude discovers your setup, confirms the cost, and audits your agent against the one question other tools skip: is it doing the job it's supposed to do, given your business rules and org structure? Test any model (Anthropic, OpenAI, Gemini, Azure, Bedrock, …) graded by self, one independent judge, or a cross-vendor panel; each provider is billed to its own account via a key in your settings, never the command line. Results render as an interactive artifact (with a static-report fallback).

1 skill · hooks

Eval-gated LLM fine-tuning lifecycle (LoRA/QLoRA, DPO, GRPO/RLVR, vision SFT, quantized export). Use when fine-tuning an open-weights model end-to-end: building the eval harness first, selecting method and model, preparing data, training with Unsloth or TRL, gating checkpoints, and exporting GGUF/FP8.

10 skills · 2 commands · 3 agents