Explore
8,336 skills indexed with the new KISS metadata standard.
Use this skill when the user needs to analyze, clean, or prepare datasets. Helps with listing columns, detecting data types (text, categorical, ordinal, numeric), identifying data quality issues, and cleaning values that don't fit expected patterns. Invoke when users mention data cleaning, data quality, column analysis, type detection, or preparing datasets.
Bidirectional markdown ↔ SQLite conversion with column limit protection and smart section extraction. Import with Python, query with sqlite3.
Search Zotero library using code execution for efficient multi-strategy searches without crash risks. Use this skill when the user needs comprehensive Zotero searches with automatic deduplication and ranking.
Calculate monthly COGS, cost percentages, and manager bonuses (COGS + Top Line) using NET SALES for accuracy and detailed inventory data for restaurant locations.
Use this skill when the user needs to analyze, clean, or prepare datasets. Helps with listing columns, detecting data types (text, categorical, ordinal, numeric), identifying data quality issues, and cleaning values that don't fit expected patterns. Invoke when users mention data cleaning, data quality, column analysis, type detection, or preparing datasets.
This skill provides context and best practices for developing Votebox, a cloud-native SaaS platform for democratic music voting in venues.
- Be concise, sacrificing grammar for brevity.
Don't check for null with `if (!someVar)`. Check for null with `if (someVar === null)`.
This file provides guidance to Coding Agents when working with code in this repository.
This repository uses `ruff` for linting and formatting. Run lint checks with:
generic skill
generic skill
[Skills Index]|root: ./.claude/skills|IMPORTANT: Read full SKILL.md before using any skill. This index is for routing only.|backend-dev-guidelines:{name:backend-dev-guidelines,desc:Comprehensive backend development guide for Node.js/Express/TypeScript microservices.,files:{resources:{architecture-ov
This document helps AI agents work effectively in this codebase.
Guide for AI agents working in this repository.
Macrograph is a visual programming platform with node-based graph interfaces. Supports both desktop (single-project) and server (multi-project) environments with real-time event processing and type-safe ID management.
This document provides guidelines for AI agents working on this codebase.
RediSearch is a Redis module providing full-text search, secondary indexing, and vector similarity search.
This file provides guidance to Claude Code (claude.ai/code) when working with crosswalk content in this repository.
> 最后更新：2026-01-26
=== foundation rules ===
Central state machine managing UI state, data, and event loop.
Salience Delegation & Latent Horizon Preservation
**COMPLETE** - Implemented timeout-based solution (2024-12-29)