Database
Database management and queries
Beanie ODM
by markus41
This skill should be used when the user asks to "create MongoDB model", "define Beanie document", "write MongoDB query", "create aggregation pipeline", "run database migration", "index MongoDB collection", or mentions Beanie, Motor, MongoDB documents, or async database operations. Provides MongoDB/Beanie ODM patterns for FastAPI.
yutori-scout
by yutori-ai
Set up continuous web monitoring with Yutori Scouts. Use when the user wants to track news, competitors, product updates, funding rounds, price changes, or any recurring web information.
yutori-competitor-watch
by yutori-ai
Quickly set up monitoring for a competitor company. Tracks news, product updates, funding, and public announcements.
yutori-research
by yutori-ai
Execute deep web research on any topic using Yutori's research agents. Use for competitive analysis, market research, finding documentation, or answering complex questions that require synthesizing information from multiple sources.
yutori-api-monitor
by yutori-ai
Set up monitoring for API changes, changelogs, or documentation updates. Useful for tracking breaking changes in services you depend on.
venue-expert
by DeevsDeevs
This skill should be used when the user asks about "market microstructure", "exchange mechanics", "order book", "auction", "NBBO", "Reg NMS", "trading venue", "halt", "LULD", "tick size", "maker-taker", "price-time priority", "SIP", "direct feed", "TRF", "wholesaler", "PFOF", "best execution", "trade-through", "ISO", "opening cross", "closing cross", "NOII", "ITCH", "OUCH", or mentions specific exchanges (Nasdaq, NYSE, CME, Binance, SHFE, DCE, CZCE, CFFEX, INE, etc.). For Chinese futures: "CTP", "综合交易平台", "夜盘", "night session", "看穿式监管", "position limits", "持仓限额", queue position in Chinese markets, or Chinese product codes (rb, cu, sc, if, ic, i, j, ta, ma, etc.). Provides hierarchical venue expertise for research and debugging trading systems.
polars-expertise
by DeevsDeevs
This skill should be used when the user asks about Polars DataFrame library (Apache Arrow) for Python or Rust. Triggers: "polars expressions", "lazy vs eager", "scan_parquet streaming", "convert pandas to polars", "pyspark to polars", "kdb to polars", "group_by_dynamic", "rolling_mean", "polars window functions", "asof join", "polars GPU", "polars parquet", "LazyFrame". Time series: OHLCV resampling, rolling windows, financial data patterns. Performance: native expressions over map_elements, early projection, categorical types, streaming.
architecture-design
by truongnat
Design software architecture and produce formal Architectural Decision Records (ADRs). Analyzes trade-offs between approaches, defines component boundaries, data models, and technology choices. Use when planning a new feature, system migration, or when the user asks for architecture advice.
tech-stack-evaluator
by alirezarezvani
Comprehensive technology stack evaluation and comparison tool with TCO analysis, security assessment, and intelligent recommendations for engineering teams
learn-from-this
by ElliotJLT
When a session contains a significant failure, misunderstanding, or repeated mistake, analyse the root cause and draft a new skill that would have prevented it. The skill library should grow from real failures, not hypothetical improvements. Every painful debugging session is a skill waiting to be written.
pattern-finder
by lis186
Find implementation examples and design patterns in the codebase. Use when user asks "how to implement X", "how does this project do X", "show me examples of X", "where is X implemented", or needs to follow existing code conventions.
split-decision
by ElliotJLT
When facing architectural decisions, technology choices, or strategic trade-offs, present options as a structured comparison and require explicit trade-off acknowledgment before proceeding. Triggers on words like "should we", "which approach", "what's the best way", or when Claude is about to recommend one approach over alternatives. Never present a single recommendation without showing viable alternatives first.
how-to-build-a-graph-database-with-flutter
by rodydavis
Learn how to build and utilize a graph database within your Flutter applications using SQLite and the Drift package to model relationships between data.
drip
by ElliotJLT
Track and surface the estimated water cost of Claude interactions. Every query has a physical footprint - data centers need cooling, electricity needs generation. This skill adds environmental accountability by estimating water consumption per session and surfacing it at meaningful moments. Not to induce guilt, but to create awareness of the physical cost of intelligence.
dependency-analyzer
by lis186
Analyze dependencies for upgrade planning and migration. Use when user asks "upgrade to X", "migrate from X to Y", "what breaks if we upgrade", "iOS 17 migration", "React 18 upgrade", or planning framework/SDK upgrades.
shipany
by littleben
Shipany AI-powered SaaS boilerplate documentation. Use when working with Shipany framework, Next.js 15, TypeScript, Drizzle ORM, NextAuth, payment integration, or building SaaS applications.
search
by aviflombaum
Search project documentation using qmd semantic search. Use BEFORE grepping/globbing indexed directories. Triggers on any task involving finding docs, plans, or other indexed markdown content.
discover-diagrams
by rand
Automatically discover diagram and visualization skills when working with flowcharts, sequence diagrams, architecture diagrams, ER diagrams, Gantt charts, mindmaps, or any visual documentation using Mermaid.js. Activates for documentation and visualization tasks.
discover-protocols
by rand
Automatically discover protocol skills when working with HTTP, TCP, UDP, QUIC, and network protocols
ai-tech-rss-fetch
by tiangong-ai
Subscribe to AI and tech RSS feeds and persist normalized metadata into SQLite using mature Python tooling (feedparser + sqlite3). Use when adding feed URLs/OPML sources, running incremental sync with deduplication, and storing entry metadata without full-text extraction or summarization.
sustainability-summary
by tiangong-ai
Retrieve time-windowed relevant sustainability RSS evidence from the RSS metadata SQLite database and optionally join DOI-keyed enriched content from a separate fulltext SQLite database. Use when generating grounded daily, weekly, monthly, or custom-range digests after relevance labeling.
kb-meta-fetch
by tiangong-ai
Fetch journal articles from Crossref published after a user-specified date and insert them into PostgreSQL journals with DOI deduplication. Use when incrementally ingesting journal metadata from journals_issn into journals.
plugin-help
by wasp-lang
Shows the Wasp plugin's available features, commands, and skills.
start-dev-server
by wasp-lang
Start the Wasp dev server and set up full debugging visibility. This includes running the server (with access to logs), and connecting browser console access so Claude can see client-side errors. Essential for any development or debugging work.