machine-learning
1.2K
grpo-rl-training
Expert guidance for GRPO/RL fine-tuning with TRL for reasoning and task-specific model training
math-inc
data-ai
sorting
stars
current ordering strategy
query
all entries
refine the visible subset
machine-learning
1.2K
peft-fine-tuning
Parameter-efficient fine-tuning for LLMs using LoRA, QLoRA, and 25+ methods. Use when fine-tuning large models (7B-70B) with limited GPU memory, when you need to train <1% of parameters with minimal accuracy loss, or for multi-adapter serving. HuggingFace's official library integrated with transformers ecosystem.
math-inc
data-ai
machine-learning
1.2K
pytorch-fsdp
Expert guidance for Fully Sharded Data Parallel training with PyTorch FSDP - parameter sharding, mixed precision, CPU offloading, FSDP2
math-inc
data-ai
machine-learning
1.2K
simpo-training
Simple Preference Optimization for LLM alignment. Reference-free alternative to DPO with better performance (+6.4 points on AlpacaEval 2.0). No reference model needed, more efficient than DPO. Use for preference alignment when want simpler, faster training than DPO/PPO.
math-inc
data-ai
machine-learning
1.2K
slime-rl-training
Provides guidance for LLM post-training with RL using slime, a Megatron+SGLang framework. Use when training GLM models, implementing custom data generation workflows, or needing tight Megatron-LM integration for RL scaling.
math-inc
data-ai
machine-learning
1.2K
fine-tuning-with-trl
Fine-tune LLMs using reinforcement learning with TRL - SFT for instruction tuning, DPO for preference alignment, PPO/GRPO for reward optimization, and reward model training. Use when need RLHF, align model with preferences, or train from human feedback. Works with HuggingFace Transformers.
math-inc
data-ai
data-engineering
1.2K
review-comet-pr
Review a DataFusion Comet pull request for Spark compatibility and implementation correctness. Provides guidance to a reviewer rather than posting comments directly.
apache
data-ai
data-analysis
1.2K
report-generator
Generate formatted data reports from SQL query results
Datus-ai
data-ai
data-engineering
1.2K
sql-analysis
Guided workflow for SQL data analysis using db_tools
Datus-ai
data-ai
data-engineering
1.2K
run-chan-dev-research
Coordinate raw analysis and publish a normalized research entry into chan.dev's `src/content/research/`. Use when research should become a durable chan.dev report.
chantastic
data-ai
machine-learning
1.2K
bug-hunter
分布式多智能体缺陷检测总控技能。基于输入随机化、角色化并行评审、语义桶化、加权共识与裁决复核输出高信噪比代码评审报告。用于大规模 PR、复杂逻辑变更、安全敏感改动或单智能体评审召回率不足的场景。
DragonOS-Community
data-ai
machine-learning
1.2K
bug-hunter-stage2-parallel-review
bug-hunter 阶段 2 技能。负责将随机化后的 diff 按 persona 矩阵分发给 8 个子智能体并行评审，并收集统一 JSON 结果。
DragonOS-Community
data-ai
machine-learning
1.2K
bug-hunter-stage3-evidence-fusion
bug-hunter 阶段 3 技能。负责对多智能体原始发现做语义去重、桶化聚类与冲突识别，形成可投票的缺陷候选池。
DragonOS-Community
data-ai
machine-learning
1.2K
bug-hunter-stage4-consensus-judge
bug-hunter 阶段 4 技能。负责对缺陷桶执行加权共识投票，筛选过阈值问题，并输出裁决级结构化评审报告。
DragonOS-Community
data-ai
machine-learning
1.1K
generate-release-notes
Generate release notes for the new NNCF release.
openvinotoolkit
data-ai
data-analysis
1.1K
ux-audit-walkthrough
Minimalist UX/Interaction Audit Expert that deconstructs complex interactions through cognitive load and operational efficiency lenses. Use this skill when you need to perform a UX walkthrough audit on a Figma prototype or web interface, evaluating usability based on principles like fewer clicks, less UI elements, no hidden logic, and self-explanatory design.
AIPexStudio
data-ai
data-analysis
1.1K
designing-experiments
Selects the appropriate quasi-experimental method (DiD, ITS, SC) based on data structure and research questions. Use when the user is unsure which method to apply.
pymc-labs
data-ai
data-analysis
1.1K
performing-causal-analysis
Fits causal models, estimates impacts, and plots results using CausalPy. Use when performing analysis with DiD, ITS, SC, or RD.
pymc-labs
data-ai
data-engineering
1.1K
loading-datasets
Loads internal CausalPy example datasets. Use when the user needs example data or asks about available demos.
pymc-labs
data-ai
data-engineering
1.1K
ptq-workflow-integration
Use when integrating a new PTQ workflow into cache-dit; designing quantize/load API shape, backend-specific config validation, save/load manifests, benchmark and regression tests, or reviewing a PTQ integration plan. Uses the SVDQ PTQ integration only as a style and coverage reference. Do not copy the SVDQ implementation mechanically.
vipshop
data-ai
llm-ai
1.1K
voice-update
This skill should be used when the agent needs to give a spoken voice update to the user, or when reminded by a Stop hook to provide audio feedback. Use this skill to speak a short summary of what was accomplished.
pchalasani
data-ai
llm-ai
1.1K
recover-context
Extract full context of the last task from the most recent parent session shown in the session lineage. Strategically uses sub-agents to avoid bloating your own context.
pchalasani
data-ai
llm-ai
1.1K
using-skills
Use when starting any conversation - establishes mandatory workflows for finding and using skills, including using Skill tool before announcing usage, alignment before implementation, and creating TodoWrite todos for checklists
udecode
data-ai