documents
9
as-markdown
Extract markdown document structure and content from mixed/embedded text (NOT for converting plain text TO markdown)
bdambrosio
content-media
结果数
53,183
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关键词
ai
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technical-docs
9
doc-indexer
Use this skill at the beginning of any session or when needing to understand available project documentation. Provides just-in-time context by scanning YAML frontmatter from all markdown files in the docs/ directory without loading full content.
bodangren
documentation
productivity-tools
9
docx
Word document processing. Format: .docx (ZIP/XML structure). Capabilities: create documents, edit content, tracked changes, comments, formatting preservation, text extraction, styles, headers/footers, tables, images. Actions: create, edit, analyze, extract from Word documents. Keywords: Word, docx, document, tracked changes, comments, formatting, styles, headers, footers, tables, images, paragraphs, text extraction, template, mail merge, revision history, document comparison. Use when: creating Word documents, editing docx files, working with tracked changes, adding comments, extracting document content, preserving document formatting.
samhvw8
tools
productivity-tools
9
gaik-toolkit
GAIK (Generative AI Knowledge Management Toolkit) development guidance. Use when working with: structured data extraction from documents/PDFs/audio, schema generation, document parsing (VisionParser, PyMuPDFParser, DoclingParser), audio transcription with Whisper, document classification, or end-to-end pipelines (AudioToStructuredData, DocumentsToStructuredData).
GAIK-project
tools
media
9
media-processing
Video/audio/image processing with FFmpeg and ImageMagick. Tools: FFmpeg (video/audio), ImageMagick (images). Capabilities: format conversion, encoding (H.264/H.265/VP9/AV1), streaming (HLS/DASH), filters, effects, thumbnails, watermarks, batch processing, hardware acceleration (NVENC/QSV). Actions: convert, encode, resize, crop, compress, extract, merge, stream, transcode media. Keywords: FFmpeg, ImageMagick, video encoding, audio extraction, image resize, thumbnail, watermark, HLS, DASH, H.264, H.265, VP9, AV1, codec, bitrate, framerate, resolution, aspect ratio, filter, overlay, concat, trim, fade, batch processing. Use when: converting video/audio formats, encoding with specific codecs, generating thumbnails, creating streaming manifests, extracting audio from video, batch processing images, adding watermarks, optimizing file sizes.
samhvw8
content-media
productivity-tools
9
lumen-ai
Master AI-powered natural language data exploration with Lumen AI. Use this skill when building conversational data analysis interfaces, enabling natural language queries to databases, creating custom AI agents for domain-specific analytics, implementing RAG with document context, or deploying self-service analytics with LLM-generated SQL and visualizations.
uw-ssec
tools
data-analysis
9
xarray-for-multidimensional-data
Work with labeled multidimensional arrays for scientific data analysis using Xarray. Use when handling climate data, satellite imagery, oceanographic data, or any multidimensional datasets with coordinates and metadata. Ideal for NetCDF/HDF5 files, time series analysis, and large datasets requiring lazy loading with Dask.
uw-ssec
data-ai
data-engineering
9
senior-data-engineer
World-class data engineering skill for building scalable data pipelines, ETL/ELT systems, real-time streaming, and data infrastructure. Expertise in Python, SQL, Spark, Airflow, dbt, Kafka, Flink, Kinesis, and modern data stack. Includes data modeling, pipeline orchestration, data quality, streaming quality monitoring, and DataOps. Use when designing data architectures, building batch or streaming data pipelines, optimizing data workflows, or implementing data governance.
rickydwilson-dcs
data-ai
llm-ai
9
streaming-architecture
LiteLLM-RS Streaming Architecture. Covers UnifiedSSEParser, SSETransformer trait, VecDeque buffering, provider-specific transformers, and real-time event handling.
majiayu000
data-ai
llm-ai
9
skill-creator-pro
Creates production-grade, reusable skills that extend Claude's capabilities. This skill should be used when users want to create a new skill, improve an existing skill, or build domain-specific intelligence. Gathers context from codebase, conversation, and authentic sources before creating adaptable skills.
Rehan-Ul-Haq
data-ai
system-admin
9
quest-keeper-frontend
Frontend development skill for Quest Keeper AI Tauri application. Use when working on React components, Zustand stores, Three.js battlemaps, TailwindCSS styling, or Tauri shell integration. Triggers on mentions of frontend, React, Zustand, Three.js, battlemap, UI, viewport, or Tauri.
Mnehmos
tools
llm-ai
9
pydantic-ai-common-pitfalls
Avoid common mistakes and debug issues in PydanticAI agents. Use when encountering errors, unexpected behavior, or when reviewing agent implementations.
existential-birds
data-ai
llm-ai
9
pydantic-ai-tool-system
Register and implement PydanticAI tools with proper context handling, type annotations, and docstrings. Use when adding tool capabilities to agents, implementing function calling, or creating agent actions.
existential-birds
data-ai
productivity-tools
9
agent-integrator
Use this skill to create or update the root AGENTS.md file to register AgenticDev skills for AI agent discovery. Triggers include "register AgenticDev", "update AGENTS.md", "setup agent guide", or initializing a new project.
bodangren
tools
ide-plugins
9
llm-artifacts-detection
Detects common LLM coding agent artifacts in codebases. Identifies test quality issues, dead code, over-abstraction, and verbose LLM style patterns. Use when cleaning up AI-generated code or reviewing for agent-introduced cruft.
existential-birds
tools
llm-ai
9
ai-context-writer
Create and update ai-context.md files that document modules for AI assistants. Use when adding documentation for packages, apps, or external references that should be discoverable via /modules commands.
front-depiction
data-ai
machine-learning
9
senior-ml-engineer
World-class ML engineering skill for productionizing ML models, MLOps, and building scalable ML systems. Expertise in PyTorch, TensorFlow, model deployment, feature stores, model monitoring, and ML infrastructure. Includes LLM integration, fine-tuning, RAG systems, and agentic AI. Use when deploying ML models, building ML platforms, implementing MLOps, or integrating LLMs into production systems.
rickydwilson-dcs
data-ai
productivity-tools
9
discovering-intent
Conducts discovery conversations to understand user intent and agree on approach before taking action. Use when users ask for recommendations, need brainstorming, want to clarify requirements, or when requests could be misunderstood. Prevents building the wrong thing by uncovering WHY behind WHAT.
Rehan-Ul-Haq
tools