607건 · 관련도순
Bulk extract content from an entire website or site section. Use this skill when the user wants to crawl a site, extract all pages from a docs section, bulk-scrape multiple pages following links, or says "crawl", "get all the pages", "extract everything under /docs", "bulk extract", or needs content from many pages on the same site. Handles depth limits, path filtering, and concurrent extraction.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Discover and list all URLs on a website, with optional search filtering. Use this skill when the user wants to find a specific page on a large site, list all URLs, see the site structure, find where something is on a domain, or says "map the site", "find the URL for", "what pages are on", or "list all pages". Essential when the user knows which site but not which exact page.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Process multimedia files with FFmpeg (video/audio encoding, conversion, streaming, filtering, hardware acceleration) and ImageMagick (image manipulation, format conversion, batch processing, effects, composition). Use when converting media formats, encoding videos with specific codecs (H.264, H.265, VP9), resizing/cropping images, extracting audio from video, applying filters and effects, optimizing file sizes, creating streaming manifests (HLS/DASH), generating thumbnails, batch processing images, creating composite images, or implementing media processing pipelines. Supports 100+ formats, hardware acceleration (NVENC, QSV), and complex filtergraphs.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Use the hyalo CLI instead of read/edit/grep/write when working with markdown (.md) files that have YAML frontmatter. This skill MUST be consulted whenever pi is working with markdown documentation directories, knowledgebases, wikis, notes, Obsidian-compatible collections, Zettelkasten systems, iteration plans, or any collection of .md files with frontmatter. Trigger this skill when: searching or filtering markdown files by content, tags, or properties; reading or modifying YAML frontmatter; managing tags or metadata across documents; toggling task checkboxes in markdown; getting an overview of a documentation directory; querying document properties or status fields; bulk-updating metadata across many markdown files; or when you find yourself repeatedly using read/edit/grep/write on .md files. Even if the user does not mention "hyalo" by name, use this skill whenever the task involves structured markdown documents with frontmatter. For pi sessions, ALWAYS use `--format text` for compact, LLM-friendly output.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Use when you need to classify an IP as internet scanner noise vs. targeted activity. Returns noise/riot flags, classification (benign/malicious/unknown), actor name if known. IP-only. Commonly invoked by /ip-investigation to filter out mass-scanning noise. Retrieval only.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
"Implement collaborative filtering for recommendations based on user behavior patterns. Use this skill when the user needs to build a recommendation engine from user-item interaction data, find similar users or items, or predict ratings — even if they say 'users who bought this also bought', 'similar users', or 'recommend based on behavior'.".
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
"Implement matrix factorization to decompose user-item interaction matrices into latent factor representations. Use this skill when the user needs scalable collaborative filtering, latent feature discovery, or dimensionality reduction for recommendation — even if they say 'SVD recommendations', 'latent factors', or 'factorize the rating matrix'.".
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
"Design hybrid recommendation systems combining multiple strategies for improved accuracy. Use this skill when the user needs to overcome single-method limitations, combine collaborative and content-based filtering, or build a production recommendation pipeline — even if they say 'combine recommendation approaches', 'best recommendation architecture', or 'cold start plus personalization'.".
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Design focus modes that actually protect attention: Do Not Disturb schedules, app filtering, notification tiers, and context-specific setups. Use when interruptions fragment your day or 'do not disturb' never stays on.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
EEG preprocessing and analysis — filtering, artifact removal, time-frequency decomposition, and ERP workflows.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Build dashboards with Chart.js: layout, KPI cards, cross-chart filtering, theming, and real-time panels. Use for operational and analytics dashboards.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
TanStack Table v8 patterns - useReactTable, column definitions, sorting, filtering, pagination, row selection, virtual scrolling, server-side data
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
pnpm workspace protocol, filtering, catalogs, shared dependencies, publishing, and CI/CD for monorepo management
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Meilisearch search engine patterns -- client setup, indexing, search, filtering, facets, geo search, multi-tenancy, task management
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Pinecone serverless vector database -- index management, vector operations, metadata filtering, namespaces, hybrid search, inference API
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Chroma vector database -- collection management, automatic embedding, metadata filtering, document storage, query patterns
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Weaviate vector database patterns with weaviate-client v3 -- collection management, vectorizer modules, hybrid search, filtering, generative search (RAG), multi-tenancy, batch imports
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Qdrant vector database -- collection management, point operations, payload filtering, named vectors, quantization, recommendations, snapshots
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Generate a weekly changelog entry from git history, filtering operational noise and producing editorial summary, field notes, statistics, and a bounded commit manifest. Stops for review unless commit was explicitly requested.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
SQL injection playbook. Use when input reaches SQL queries, authentication logic, sorting, filtering, reporting, or DB-specific blind and out-of-band execution paths.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Guidance for Tauri v2 logging plugin with levels, filtering, and safe diagnostics.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Discovers requirements and generates architectural, design, and deployment guidance for dynamic hybrid search systems by combining semantic search and keyword search. Optimized for AlloyDB hybrid search use cases in Google Cloud. Use when users need vector search combined with structured SQL filtering, faceted attributes, semantic reranking, in-database AI validation, or serverless hosting across transactional relational databases, analytical data warehouses, or managed database engines. DON'T use this skill for simple keyword-only search, or when a standalone non-relational vector database is required.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Build comprehensive histone mark maps by aggregating narrowPeak data across multiple ENCODE experiments, donors, and labs. Use when the user wants to answer "where is this histone mark present in my tissue?" by combining peak calls from multiple studies into a union peak set with confidence annotations. Handles cross-lab batch effects, broad vs narrow marks, and ENCODE blocklist filtering.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Build comprehensive chromatin accessibility maps by aggregating ATAC-seq and DNase-seq narrowPeak data across multiple ENCODE experiments, donors, and labs. Use when the user wants to answer "where is chromatin accessible in my tissue?" by combining peak calls into a union peak set. Handles cross-lab variation, ATAC vs DNase platform differences, and ENCODE blocklist filtering.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.