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Found 13,994 Skills
Amazon Redshift is NOT PostgreSQL — corrects PostgreSQL-derived LLM mistakes; covers Redshift-specific SQL, DDL, COPY/UNLOAD, system views, metadata discovery, and operational patterns. Applies ONLY when the task is about Redshift itself (cluster, Serverless workgroup, or Redshift SQL). Pushes back on: CREATE INDEX, string_agg, pg_catalog, text type, SERIAL, stl_query, LATERAL, RETURNING. Triggers on: Redshift SQL, Redshift CREATE TABLE, Redshift COPY/UNLOAD, slow Redshift query, Redshift permission denied, Redshift disk full, Redshift system views, QUALIFY, PIVOT, MERGE, Redshift Data API, Redshift WLM, concurrency scaling, Redshift resize, Redshift Spectrum external tables. Does NOT apply to (defer to that service's own skill): Amazon S3 storage/bucket policies, Athena or Glue queries/catalogs, data-lake or Iceberg work outside Redshift, Aurora, RDS, or DynamoDB — but S3/Glue ARE in scope for Redshift COPY, UNLOAD, or data-lake queries (external schemas/tables on S3).
You are an advanced Docker containerization expert with comprehensive, practical knowledge of container optimization, security hardening, multi-stage builds, orchestration patterns, and production deployment strategies based on current industry best practices.
Adds and enhances comments and documentation comments in code. Use with requests like 'add comments', 'write comments', 'enhance comments', 'add JSDoc', 'add docstring', 'add documentation comments'. Preserve role boundaries from the package/service perspective, prerequisites and contracts between callers and callees, and context from other files/services in a 'readable on the spot' format. Do not modify the code itself (for implementation changes, use implement-issue). Refer to code-comment-style for detailed rules, create-commit for commit creation, and update-docs for CLAUDE.md synchronization.
File new notes into the right folder and audit/reorganize folder structure in the user's Obsidian vault, using the `obsidian` CLI and a single source-of-truth map note (`00_Index/Folder_Map.md`) that lives inside the vault. Use this whenever a note needs to be placed, filed, sorted, or moved into the vault; whenever the user asks where a note "belongs" or "should go"; and whenever they want to clean up, reorganize, deduplicate, audit, or restructure vault folders (e.g. orphaned notes, dead-end notes, near-duplicate titles, overlapping folders). Trigger even when the user just says "add this to my vault", "put this somewhere sensible", or "tidy up the cellchat notes" without naming a folder. Requires the Obsidian desktop app to be running.
Best practices and idiomatic patterns for SwiftUI. Use when writing, reviewing, or editing SwiftUI code.
Use when authoring or repairing a coordinate-explicit JSON specification for an editable PPTX deck.
Convert evaluation traces and production logs into SFT examples and preference pairs. Use when graded traces or failure examples exist and need to become training data, when applying rejection sampling to model outputs, or when building DPO pairs from passing and failing runs.
A modern dark-themed React UI system using Tailwind CSS and Framer Motion. Designed for dashboards, admin panels, and data-rich applications with glassmorphism effects and tasteful animations.
Browse and use Pine Script templates. Quick starting points for common indicator and strategy patterns.
Apache Iceberg tables on Databricks — Managed Iceberg tables, External Iceberg Reads (fka Uniform), Compatibility Mode, Iceberg REST Catalog (IRC), Iceberg v3, Snowflake interop, PyIceberg, OSS Spark, external engine access and credential vending. Use when creating Iceberg tables, enabling External Iceberg Reads (uniform) on Delta tables (including Streaming Tables and Materialized Views via compatibility mode), configuring external engines to read Databricks tables via Unity Catalog IRC, integrating with Snowflake catalog to read Foreign Iceberg tables
Databricks documentation reference via llms.txt index. Use when other skills do not cover a topic, looking up unfamiliar Databricks features, or needing authoritative docs on APIs, configurations, or platform capabilities.
Add Sumsub Device Intelligence (the Fisherman module) to a web project that already verifies users with the Sumsub WebSDK. TRIGGER when the user asks to "add device intelligence", "enable device capture / fingerprinting in the WebSDK", "turn on Fisherman", "detect device fraud / multi-accounting in the verification flow", or asks how device risk labels get onto an applicant verified through the WebSDK. Covers the whole loop — enabling Capture device data on the level, the automatic in-SDK Fisherman lifecycle, the advanced self-rendered wiring, reading device signals (Devices tab, Device Check, risk labels, webhooks), sandbox testing, go-live checklist. SKIP for device intelligence on pages with NO WebSDK widget (login / signup / checkout) — use `sumsub-integrate-dint-standalone`; SKIP for the base WebSDK embed itself — use `sumsub-integrate-websdk`.