Plugins
4 plugins@brycewang-stanford
42 Wanshuiyin ARIS
42 Wanshuiyin ARIS from brycewang-stanford/Auto-Empirical-Research-Skills.
38 skills · plugin
@jiachen-t-wang
Curation Bench
Curation Bench from Jiachen-T-Wang/curation-bench-pro.
99 skills · plugin
curated
Agent Interview and Planning
For developers who want to clarify project requirements through structured interviews and generate actionable plans.
9 skills · plugin
curated
Email Productivity Toolkit
For professionals who want to manage their inbox, draft replies, and send emails with delivery confirmation.
12 skills · plugin
Results for “wan”
1,246 skills
fradser patent-architect
Automatically searches prior art via SerpAPI and generates Chinese patent application forms. This skill should be used when the user wants to generate Chinese patent application forms, or mentions "patents", "inventions", or wants to protect technical innovations.
580 · bundle
joannanowakowska openspec-propose
Propose a new change with all artifacts generated in one step. Use when the user wants to quickly describe what they want to build and get a complete proposal with design, specs, and tasks ready for implementation.
0
shenmuxing muxing-style-review
21-rule prose review workflow for technical and academic Markdown/LaTeX excerpts. Use when the user asks for muxing-style-review, wants a complete agent-style check combining check-human.md with agent-style audit-only evidence, wants a compact-rule check, wants a DeepSeek/Codex manuscript draft checked for clarity, evidence, citation discipline, terminology, AI-tell prose, or wants an A/B draft comparison. Prefer a dedicated review subagent when available for non-trivial reviews. Use the sibling style-review skill for the upstream post-hoc audit/polish workflow.
2 · bundle
jiachen-t-wang gpt-4vision-system-card-openai-gpt4v-2023
GPT-4V(ision) System Card
6
wang123582 split
阶段③ 任务划分。把 design.md 拆成 tasks/<模块>.md 和 tasks/progress.md。
1
inference-sh video-prompting-guide
Learn best practices for writing effective AI video generation prompts, covering shot types, camera movements, lighting, style keywords, and model-specific tips for Veo, Seedance, Wan, Grok, and others.
584
akillness jeo-skill
Browse, group, relate, and selectively install the jeo-skills catalog through the lightweight `jeo-skill` CLI. Use when the user wants skills organized by web, infrastructure, game, creative media, CLI tools, AI/agents, engineering, research, business, or utilities; needs a frontend/backend/game-audio/game-VFX subcategory; wants overlapping skills connected instead of duplicated; or wants a category, bundle, or named skills installed without copying the full repository.
42 · bundle
orchestra-research model-pruning
Compress large language models by 40-60% with minimal accuracy loss using one-shot pruning techniques like Wanda and SparseGPT, enabling faster inference and deployment on constrained hardware.
10.4k · bundle
georgeqle skill-interview
Interview the user to define the characteristics of a skill they want created
1 · bundle
matrixx0070 cw-character
Build a character with a clear want, need, flaw, distinct voice, and arc.
0
jiachen-t-wang pali-3-smaller-faster-stronger-arxiv-2310-09199v2
PaLI-3: Smaller, Faster, Stronger
6
jiachen-t-wang instruction-tuning-with-gpt-4-arxiv-2304-03277v1
Instruction Tuning with GPT-4
6
jiachen-t-wang dclm-datacomp-for-language-models-arxiv-2406-11794v3
DCLM: DataComp for Language Models
6
jiachen-t-wang nemotron-4-340b-technical-report-arxiv-2406-11704v1
Nemotron-4 340B Technical Report
6
jiachen-t-wang snli-ve-visual-entailment-dataset-arxiv-1901-06706v1
SNLI-VE: Visual Entailment Dataset
6
jiachen-t-wang influence-functions-in-deep-learning-arxiv-2002-08484v3
Influence Functions in Deep Learning
6
jiachen-t-wang asr-whisper-for-video-transcription-arxiv-2212-04356v1
ASR: Whisper for Video Transcription
6
jiachen-t-wang scaling-data-constrained-language-models-arxiv-2305-16264v3
Scaling Data-Constrained Language Models
6
jiachen-t-wang mixup-beyond-empirical-risk-minimization-arxiv-1710-09412v2
Mixup: Beyond Empirical Risk Minimization
6
jiachen-t-wang scaling-instruction-finetuned-language-models-arxiv-2210-114
Scaling Instruction-Finetuned Language Models
6
jiachen-t-wang emu-generative-pretraining-in-multimodality-arxiv-2307-05222
Emu: Generative Pretraining in Multimodality
6
netanel-abergel self-reflection
Turn owner feedback about agent behavior into concrete system changes. Use when the owner says something is off, wants the assistant to improve how it operates, asks for a reflection, or wants a durable fix instead of a one-off apology.
6
timlai666 agent-news-monitor
Monitor Hacker News, Reddit, and arXiv for AI agent developments and trending topics. Use when the user wants a summary of recent AI agent news, needs to search for specific research papers, or wants to set up automated news digests in heartbeats.
1 · bundle
loopyluci loop-me
Use when you want the AI to check back periodically for updates or progress
1
jiachen-t-wang dinov2-for-dense-prediction-tasks-arxiv-dinov2-dense-2024
DINOv2 for Dense Prediction Tasks
6
jiachen-t-wang lima-less-is-more-for-alignment-arxiv-2305-11206v1
LIMA: Less Is More for Alignment
6
jiachen-t-wang imagenet-21k-pretraining-for-the-masses-arxiv-2104-10972v4
ImageNet-21K Pretraining for the Masses
6
jiachen-t-wang pixtral-12b-a-frontier-multimodal-model-arxiv-pixtral-2024
Pixtral 12B: A Frontier Multimodal Model
6
jiachen-t-wang scaling-laws-for-neural-language-models-arxiv-2001-08361v1
Scaling Laws for Neural Language Models
6
jiachen-t-wang glip-grounded-language-image-pre-training-arxiv-2112-03857v2
GLIP: Grounded Language-Image Pre-training
6
jiachen-t-wang llava-onevision-easy-visual-task-transfer-arxiv-2408-03326v2
LLaVA-OneVision: Easy Visual Task Transfer
6
jiachen-t-wang trak-attributing-model-behavior-at-scale-arxiv-2303-14186v2
TRAK: Attributing Model Behavior at Scale
6
jiachen-t-wang towards-open-world-segmentation-of-parts-arxiv-2305-06914v3
Towards Open-World Segmentation of Parts
6
jiachen-t-wang nocaps-novel-object-captioning-at-scale-arxiv-1812-08658v2
Nocaps: Novel Object Captioning at Scale
6
jiachen-t-wang idefics2-an-8b-parameters-multimodal-model-arxiv-2405-02246v
Idefics2: An 8B Parameters Multimodal Model
6
jiachen-t-wang segment-everything-everywhere-all-at-once-arxiv-2304-06718v2
Segment Everything Everywhere All at Once
6