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All Skills

Total 50,315 skills, AI & Machine Learning has 8452 skills

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Showing 12 of 8452 skills

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AI & Machine Learningascend-ai-coding/awesome-...

triton-ascend-migration

Migrate GPU/CUDA Triton operators to Triton-Ascend, or rewrite Python/PyTorch operators into Triton-Ascend implementations that can run on Ascend NPU. When clear optimization opportunities are identified, directly output the optimized code, minimal validation script, and troubleshooting instructions. This skill should be prioritized when users mention 昇腾 (Ascend), Ascend, NPU, triton-ascend, Triton operator migration, PyTorch operator rewriting, coreDim, UB overflow, 1D grid, physical core binding, block_ptr, stride, memory access alignment, mask performance, dtype degradation, operator optimization, or directly ask questions like "How to use this skill", "How to run it in the command line", "How to perform migration/validation in a container", even if users do not explicitly say "write a skill" or "perform migration".

🇨🇳|ChineseTranslated
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AI & Machine Learningascend-ai-coding/awesome-...

ai-for-science-ai4s-profiling

AI for Science 场景下的昇腾 NPU Profiling 采集与性能分析 Skill,用于在华为 Ascend NPU 上使用 torch_npu.profiler 采集 L0、L1、L2 级性能数据,分析训练或推理中的算子耗时、调用栈、内存与瓶颈,并指导后续调优。

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1 scripts/Checked
AI & Machine Learningascend-ai-coding/awesome-...

external-mindstudio-ascend-profiler-db-explorer

SQL analysis skill for Ascend PyTorch Profiler / msprof DB (e.g., ascend_pytorch_profiler*.db, msprof_*.db). Convert natural language questions (operator latency, communication, dispatch, scheduling, schema/table queries) into safe and executable SQL, and extract table structure details from official documents as needed.

🇨🇳|ChineseTranslated
3
1 scripts/Attention
AI & Machine Learningascend-ai-coding/awesome-...

external-gitcode-ascend-catlass-operator-dev

Catlass Operator End-to-End Development Orchestrator. Based on ascend-kernel (csrc/ops), it connects catlass design, catlass-operator-code-gen and ascendc sub-skills to complete the closed loop from project initialization to documentation, precision, and performance. Keywords: Catlass, end-to-end, ascend-kernel, operator development, workflow orchestration.

🇨🇳|ChineseTranslated
3
AI & Machine Learningitallstartedwithaidea/age...

cognitive-scaffolding

Cognitive Scaffolding structures an agent's context window using principles from cognitive science — primacy effects, recency bias, chunking, and attention allocation.

🇺🇸|EnglishTranslated
3
AI & Machine Learningsogud/ninjutsu

skill-admin

Manage skills across 20+ AI platforms (Claude Code, Cursor, Copilot, Gemini, OpenClaw, Hermes, etc.). Use `list` as the unified entrypoint. Default behavior is listing skills only; only guide/recommend when the user explicitly asks what skill to use.

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3 scripts/Attention
AI & Machine Learningaradotso/trending-skills

bouncer-feed-filter

AI-powered browser extension that filters unwanted posts from Twitter/X feeds using natural language rules and multiple AI backends

🇺🇸|EnglishTranslated
3
AI & Machine Learningpeachsolution/peach-harne...

peach-team

PeachSolution 신규 모듈 전체 개발을 조율하는 팀 오케스트레이터 스킬. "팀으로 만들어줘", "풀스택 개발", "백엔드+UI 전체 생성" 키워드로 트리거. mode=backend(API+Store), mode=ui(UI만), mode=fullstack(전체) 지원.

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3
AI & Machine Learningaradotso/trending-skills

gpt-image-2-skill

GPT Image 2 prompt gallery, agentic skill, and CLI for OpenAI image generation and editing with curated prompts and reference workflows

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3
AI & Machine Learningbvdmerwe/trogteam

grunk

Use when acting as Grunk - reads specs from beads, plans, implements, commits, tags pr-ready. Merged TL+Engineer. Works in loop mode or interactive mode.

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3
1 scripts/Attention
AI & Machine Learningnotdp/hive

hive

Basic Hive skill. Enable agents to work as members of the Hive runtime: discover context, view members, receive <HIVE ...> messages, send messages, and load higher-level workflow skills.

🇨🇳|ChineseTranslated
3
AI & Machine Learninggit-ai-project/git-ai

ask

Use this when you are exploring the codebase. It lets you ask the AI who wrote code questions about how things work and why they chose to build things the way they did. Think of it as asking the engineer who wrote the code for help understanding it.

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