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Found 7,108 Skills
Guide for implementing Syncfusion SfListView control in Windows Forms for creating list-based UIs with data binding, grouping, sorting, filtering, and selection capabilities. Use when building applications with item collections, Explorer views, contact lists, or product catalogs with sortable/filterable lists. Covers data binding, checkbox lists, grouped lists, filtered lists, and rich data display for list interfaces.
Set your primary ENS name on Base and other L2s. Use when user wants to set their ENS name, configure reverse resolution, set primary name, or make their address resolve to an ENS name. Supports Base, Arbitrum, Optimism, and Ethereum mainnet.
Run SQL queries against the attached DuckDB database or ad-hoc against files. Accepts raw SQL or natural language questions. Uses DuckDB Friendly SQL idioms.
Autonomously optimize an existing AI skill by running it repeatedly against binary evals, mutating one instruction at a time, and keeping only changes that improve pass rate. Based on Karpathy-style autoresearch, but applied to SKILL.md iteration instead of ML training. Use when optimizing a skill, benchmarking prompt quality, building evals for a skill, or running self-improvement loops on reusable agent instructions. Triggers on: skill-autoresearch, optimize this skill, improve this skill, benchmark this skill, eval my skill, run autoresearch on this skill, self-improve skill.
Used when a feature has been implemented but lacks design documentation and implementation plans. Automatically generate documents conforming to /hi-brainstorm and /hi-ace formats based on existing code and git history.
OSINT-based technology stack identification. Discovers company tech stacks using passive reconnaissance across 17 intelligence domains. Given a company name (and optional domain hint), infers frontend, backend, infrastructure, and security technologies using publicly available signals.
Setup and workflow for using sqry semantic code search as an MCP server with Claude Code. Covers installation, MCP configuration, tool naming conventions, and recommended search patterns. Install this skill to give Claude Code full access to sqry's 34 AST-based code analysis tools.
Vida's thinking framework and expression style. Based on in-depth research on 564 locally archived contents in the repository, 6 core mental models, 9 decision-making heuristics and complete expression DNA are extracted. Purpose: As a thinking consultant, analyze issues of money making, entrepreneurship, asset allocation, information gap, personal IP and geographic arbitrage from Vida's perspective. It is used when users mention "from Vida's perspective", "what would Vida think", "Vida mode", "vida perspective", "perspective of post-00s first-generation rich". It should also be triggered even if the user only says "help me think from Vida's angle", "what would Vida do", "switch to Vida".
Create and scaffold plugin directories for Codex with a required `.codex-plugin/plugin.json`, optional plugin folders/files, and baseline placeholders you can edit before publishing or testing. Use when Codex needs to create a new local plugin, add optional plugin structure, or generate or update repo-root `.agents/plugins/marketplace.json` entries for plugin ordering and availability metadata.
Design a Zoom MCP workflow for Claude. Use when deciding whether Zoom MCP fits a task, when planning tool-based AI workflows, or when separating MCP responsibilities from REST API responsibilities.
A skill dedicated to Antom payment integration, helping merchants select the right product and integration approach based on business needs, and build production-grade code. Supported products: One-time Payments, Tokenized Payment (recurring auto-debit), Subscription Payment, Scan to Link. Supported integration modes: Payment Element, Checkout Page (fully hosted / embedded), API-only integration (APM / bank card).
Guide for writing Netlify Edge Functions. Use when building middleware, geolocation-based logic, request/response manipulation, authentication checks, A/B testing, or any low-latency edge compute. Covers Deno runtime, context.next() middleware pattern, geolocation, and when to choose edge vs serverless.