Embeddings
Vector embeddings and similarity
setup-semantic-release
by AntJanus
Use when setting up automated versioning, when asked to "set up semantic release", "add conventional commits", "configure automated versioning", "set up commitlint", "add husky hooks", "set up changelog generation", or when initializing a new project that needs a commit and release workflow.
notmuch
by adampoit
Search and read local email with the notmuch CLI. Use when the user asks to find messages, inspect threads, or review email tags.
retrieval
by c-h-
Search organizational knowledge across Slack, Notion, Linear, Gmail and local documents. Use when: "find", "search", "look up", "what do we know about", "summarize everything about", "deep research", "investigate", "who said", "when did", "any docs about", "check our knowledge base". Capabilities: fast hybrid vector+keyword search, deep cross-source research with provenance, SaaS mirroring, incremental indexing, metadata filtering, recency-aware ranking.
seedhub
by alaataki5
"搜索 SeedHub (seedhub.cc) 影视资源，提取夸克网盘、百度网盘、阿里云盘、UC网盘、磁力链接等下载地址。触发词：seedhub、影视资源、找片、找电影、找剧、下载链接、夸克网盘。"
qmd
by MichaelVessia
Local semantic search for docs, notes, knowledge bases. INVOKE THIS SKILL when user: - Asks to "search my notes/docs/vault/obsidian" - Wants to "find" something in their knowledge base - Says "what did I write about X" - Asks "do I have notes on X" - Needs context from their local markdown files - Mentions "qmd" directly - Asks about journal entries, meeting notes, or personal documentation Trigger phrases: "search notes", "find in docs", "search obsidian", "what do my notes say", "look in my vault"
literature-review
by neflibata-feng
Conduct comprehensive, systematic literature reviews using multiple academic databases (PubMed, arXiv, bioRxiv, Semantic Scholar, etc.). This skill should be used when conducting systematic literature reviews, meta-analyses, research synthesis, or comprehensive literature searches across biomedical, scientific, and technical domains. Creates professionally formatted markdown documents and PDFs with verified citations in multiple citation styles (APA, Nature, Vancouver, etc.).
vault
by vadirn
Personal knowledge management in an Obsidian vault. Use this skill whenever the user wants to save, find, review, or organize knowledge — even if they don't say "vault" or "Obsidian". Triggers on: saving a link/article/video/book for later (creates a reference in 10 references/), distilling a concept or takeaway from something they read/watched (creates a card in 20 cards/), writing down an original idea, observation, or synthesis connecting multiple concepts (creates a note in 30 notes/), searching or browsing what they know about a topic, quizzing or testing recall on saved concepts, listing or filtering cards by tag, resuming or saving progress on a project, checking project status or open checkpoints. Also handles explicit /vault commands (search, card, note, reference, review, cards, projects, start, save). Do NOT use for: Obsidian app settings/UI questions, editing .base files, creating canvas files, general markdown editing, or web search.
slack
by adampoit
Search Slack messages and read Slack threads. Use when the user asks to search Slack, find messages, look up conversations, read thread replies, or retrieve Slack content. Triggers on requests involving Slack message lookup, conversation history, or thread reading.
linear-triage
by OmniNode-ai
Scan all non-completed Linear tickets, verify status against actual PR state, auto-mark done tickets, flag stale ones, and identify orphans needing epic assignment
paperless
by MichaelVessia
Search and manage documents in Paperless-ngx document management system. Use when the user asks about documents, invoices, receipts, tax forms, bills, or wants to search their document library.
paper-digest
by iamseungpil
Generate shareable paper summaries for Discord/Slack/Twitter. Use when user provides arxiv paper(s) and wants a digestible summary to share. Triggers on phrases like "논문 요약", "paper summary", "share this paper", "디스코드에 공유", "summarize for sharing". Produces insight-centered single-paragraph summaries that explain WHY research matters, not just WHAT it does.
jira
by adampoit
Search Jira issues with JQL or free text, and read Jira issue details with comments using the external jira-cli (jira) command. Use when the user asks to find Jira tickets, inspect issue details, review comments, or run Jira queries.
adl
by Tyler-R-Kendrick
Use when defining AI agents declaratively with Agent Definition Language (ADL). Covers agent identity, LLM configuration, tools, permissions, RAG inputs, and governance metadata. USE FOR: declarative agent blueprints, agent identity and permissions, LLM configuration, governance metadata DO NOT USE FOR: agent runtime orchestration (use cagent), tool integration (use mcp), agent communication (use a2a)
rss-digest
by odysseus0
"Agentic RSS digest using the feed CLI. Fetch, triage, and summarize RSS feeds to surface high-signal posts. Use when: (1) reading RSS feeds or catching up on news, (2) user asks for a digest, roundup, or summary of recent posts, (3) user asks what's new or interesting today, (4) user mentions feed, RSS, or blogs."
qmd
by changeflowhq
Local semantic search engine for markdown knowledge bases using qmd (tobi/qmd). Indexes markdown files with BM25 keyword search, vector embeddings for semantic search, and hybrid reranked queries. Auto-indexes on file edits via Claude Code hooks and refreshes embeddings overnight via launchd. Use when searching project docs, knowledge bases, meeting notes, or any indexed markdown collection.
matplotlib
by tondevrel
The foundational library for creating static, animated, and interactive visualizations in Python. Highly customizable and the industry standard for publication-quality figures. Use for 2D plotting, scientific data visualization, heatmaps, contours, vector fields, multi-panel figures, LaTeX-formatted plots, custom visualization tools, and plotting from NumPy arrays or Pandas DataFrames.
ai-native-development
by ArieGoldkin
Build AI-first applications with RAG pipelines, embeddings, vector databases, agentic workflows, and LLM integration. Master prompt engineering, function calling, streaming responses, and cost optimization for 2025+ AI development.
Accessibility Patterns
by Kaakati
WCAG 2.2 Level AA compliance patterns for Flutter applications including Semantics widgets, screen reader support, keyboard navigation, and color contrast requirements
rdkit
by tondevrel
Open-source cheminformatics and machine learning toolkit for drug discovery, molecular manipulation, and chemical property calculation. RDKit handles SMILES, molecular fingerprints, substructure searching, 3D conformer generation, pharmacophore modeling, and QSAR. Use when working with chemical structures, drug-like properties, molecular similarity, virtual screening, or computational chemistry workflows.
finding-files
by iota9star
Performs fast file discovery with parallel search and smart defaults. Use this skill when searching for files by name, pattern, or type, especially when performance matters or when working with large directories
analyzing-code-structure
by iota9star
Performs structural code search and refactoring by matching code structure instead of exact text. Use when editing code structure with text matching ambiguity, handling "old_string not unique" problems, or performing formatting-independent pattern matching across function signatures, method calls, and class structures
searching-text
by iota9star
Performs fast text search with one-shot patterns that minimize iterations by getting files, lines, and context in a single call. Use this skill when searching for text patterns, finding specific code locations, or getting context around matches
fuzzy-selecting
by iota9star
Provides interactive fuzzy finder for selecting items from any list with preview capabilities. Use this skill when choosing from search results, files, processes, or any command output
cloudflare-vectorize
by jackspace
Complete knowledge domain for Cloudflare Vectorize - globally distributed vector database for building semantic search, RAG (Retrieval Augmented Generation), and AI-powered applications. Use when: creating vector indexes, inserting embeddings, querying vectors, implementing semantic search, building RAG systems, configuring metadata filtering, working with Workers AI embeddings, integrating with OpenAI embeddings, or encountering metadata index timing errors, dimension mismatches, filter syntax issues, or insert vs upsert confusion. Keywords: vectorize, vector database, vector index, vector search, similarity search, semantic search, nearest neighbor, knn search, ann search, RAG, retrieval augmented generation, chat with data, document search, semantic Q&A, context retrieval, bge-base, @cf/baai/bge-base-en-v1.5, text-embedding-3-small, text-embedding-3-large, Workers AI embeddings, openai embeddings, insert vectors, upsert vectors, query vectors, delete vectors, metadata filtering, namespace filtering, topK search, cosine similarity, euclidean distance, dot product, wrangler vectorize, metadata index, create vectorize index, vectorize dimensions, vectorize metric, vectorize binding