productivity▌

Query your data warehouse to answer business questions with cached patterns and concept mappings. \n \n Supports pattern lookup and caching for repeated question types, with outcome recording to improve future queries \n Includes concept-to-table mapping cache and table schema discovery via INFORMATION_SCHEMA or codebase grep \n Provides run_sql() and run_sql_pandas() kernel functions returning Polars or Pandas DataFrames for analysis \n CLI commands for managing concept, pattern, and table cach

Implement VoiceOver, Dynamic Type, and assistive technology support for iOS/macOS apps. \n \n Covers SwiftUI and UIKit accessibility APIs including labels, hints, traits, focus management with @AccessibilityFocusState , and custom rotors for navigation \n Provides patterns for respecting system preferences: Reduce Motion, Reduce Transparency, Increase Contrast, and Bold Text \n Includes focus restoration strategies for sheets and modals, decorative content hiding, and tap target sizing requireme

Publish any presentation or web content to GitHub Pages in one shot.

Pragmatic coding standards emphasizing conciseness, single responsibility, and direct solutions. \n \n Covers five core principles: Single Responsibility, DRY, KISS, YAGNI, and the Boy Scout rule for incremental code improvement \n Provides naming conventions for variables, functions, booleans, and constants designed to self-document intent without excessive comments \n Enforces function discipline: max 20 lines, one level of abstraction, minimal arguments, and no unexpected side effects \n Incl

Comprehensive guide for building modular skills that extend Claude's capabilities with specialized knowledge and workflows. \n \n Skills are self-contained packages combining procedural instructions, tool integrations, domain expertise, and bundled resources (scripts, references, assets) to transform Claude into a specialized agent \n Follows progressive disclosure design: metadata always available, SKILL.md loaded on trigger, bundled resources loaded as needed to minimize context bloat \n Core

If you see unfamiliar placeholders or need to check which tools are connected, see CONNECTORS.md.

An autonomous experimentation loop for any programming task. You define the goal and how to measure it; the agent iterates autonomously -- modifying code, running experiments, measuring results, and keeping or discarding changes -- until interrupted.

Configure server URLs to receive real-time events from Vapi during calls — transcripts, tool calls, status changes, and end-of-call reports.

Generate images using ModelScope's Z-Image API with simple command-line prompts. \n \n Supports three API key configuration methods: hardcoded in script, command-line argument, or .env file in the scripts folder \n Accepts optional parameters for custom output filename and alternative model IDs \n Requires Python 3 with requests library and a ModelScope account with Alibaba Cloud binding for API access \n Returns 401 errors if the account lacks proper Alibaba Cloud setup; users must bind their a

Installs and authenticates the Parallel CLI for agent integration. \n \n Provides two installation methods: automated install script or pip-based installation via pipx \n Includes authentication setup via parallel-cli login and verification commands to confirm successful installation \n Requires PATH configuration if the CLI binary is not automatically discoverable after installation \n