framework-internals
10.9K
distributed-training
Multi-GPU and distributed training patterns with PyTorch DDP. Use when scaling training across GPUs.
aiming-lab
development
結果數
53,183
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framework-internals
10.9K
pytorch-training
Best practices for building robust PyTorch training loops. Use when generating or reviewing ML training code.
aiming-lab
development
academic
10.9K
literature-search
Systematic literature review methodology including search strategy, screening, and synthesis. Use when conducting literature reviews or writing background sections.
aiming-lab
research
academic
10.9K
scientific-writing
Academic manuscript writing with IMRAD structure, citation formatting, and reporting guidelines. Use when drafting or revising research papers.
aiming-lab
research
academic
10.9K
statistical-reporting
Statistical test selection, assumption checking, and APA-formatted reporting. Use when analyzing experimental results or writing results sections.
aiming-lab
research
academic
10.9K
systematic-review
Structured methodology for comprehensive literature review following PRISMA guidelines. Use during literature search and screening stages.
aiming-lab
research
astronomy-physics
10.9K
cv-classification
Best practices for image classification tasks. Use when working on CIFAR, ImageNet, or other classification benchmarks.
aiming-lab
research
bioinformatics
10.9K
biology-biopython
Bioinformatics with Biopython for sequence manipulation, file parsing, BLAST, and phylogenetics. Use when working with DNA/RNA/protein sequences or biological databases.
aiming-lab
research
computational-chemistry
10.9K
chemistry-rdkit
Computational chemistry with RDKit for molecular analysis, descriptors, fingerprints, and substructure search. Use when working with SMILES, drug discovery, or cheminformatics tasks.
aiming-lab
research
computational-chemistry
10.9K
cv-detection
Best practices for object detection tasks. Use when working on COCO, VOC, or detection architectures like YOLO and DETR.
aiming-lab
research
lab-tools
10.9K
experimental-design
Best practices for designing reproducible ML experiments. Use when planning ablations, baselines, or controlled experiments.
aiming-lab
research
cli-tools
10.9K
researchclaw
Run the ResearchClaw autonomous research pipeline from a topic, config, and output directory.
aiming-lab
tools
testing
10.9K
gpui-element
Implementing custom elements using GPUI's low-level Element API (vs. high-level Render/RenderOnce APIs). Use when you need maximum control over layout, prepaint, and paint phases for complex, performance-critical custom UI components that cannot be achieved with Render/RenderOnce traits.
longbridge
testing-security
ide-plugins
10.9K
gpui-style-guide
GPUI Component project style guide based on gpui-component code patterns. Use when writing new components, reviewing code, or ensuring consistency with existing gpui-component implementations. Covers component structure, trait implementations, naming conventions, and API patterns observed in the actual codebase.
longbridge
tools
database-tools
10.9K
database-operation
Use this skill when you need to execute SQL against the MoviePilot database. This skill guides you through connecting to the database and executing SQL statements. The database type (SQLite or PostgreSQL) and connection details are provided in the system prompt <system_info>. Applicable scenarios include: 1) The user asks about data statistics, counts, or aggregations that existing tools don't cover; 2) The user wants to inspect, modify, or fix raw database records; 3) The user asks to clean up data, update records, or perform database maintenance; 4) The user asks questions like "how many downloads", "show me site stats", "delete old records", etc.
jxxghp
databases
database-tools
10.9K
transfer-failed-retry
Use this skill when you need to retry failed file transfers/organizations. Given one or more failed transfer history record IDs, this skill guides you through querying the failure details, deleting the old records, and re-identifying and re-organizing the files. Supports batch processing of multiple files from the same media (e.g., multiple episodes of a TV show). This skill is automatically triggered when the system detects transfer failures and the AI agent retry feature is enabled.
jxxghp
databases
domain-utilities
10.9K
generate-identifiers
Use this skill when a user provides a torrent name or file name and wants to fix recognition issues, or asks to add/manage custom identifiers (自定义识别词). This skill generates identifier rules based on the WordsMatcher preprocessing logic, checks for duplicates against existing rules, and saves them via MCP tools. Applicable scenarios include: 1) A torrent or file name is incorrectly recognized (wrong title, season, episode, etc.); 2) The user wants to block unwanted keywords from torrent names; 3) The user needs episode offset rules for series with non-standard numbering; 4) The user wants to force recognition of a specific media by TMDB/Douban ID.
jxxghp
tools
documents
10.6K
download-file
Download files in Chrome on Windows and macOS. Handles triggering downloads, detecting and resolving popups, verifying completion, and locating files.
accomplish-ai
content-media
productivity-tools
10.6K
skill-creator
Guide for creating effective skills. Use when users want to create a new skill (or update an existing skill) that extends the AI's capabilities with specialized knowledge, workflows, or tool integrations.
accomplish-ai
tools
scientific-computing
10.6K
web-research
Research topics on the web, gather information from multiple sources, and summarize findings.
accomplish-ai
research