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Found 6,503 Skills
Comprehensive truth scoring, code quality verification, and automatic rollback system with 0.95 accuracy threshold for ensuring high-quality agent outputs and codebase reliability.
TWD test writing context — teaches AI agents how to write correct TWD (Test While Developing) in-browser tests. Use this when writing, reviewing, or modifying TWD test files (*.twd.test.ts).
Conducts citation-backed research using Firecrawl MCP search, scrape, map, crawl, and agent tools with selectable quick, standard, deep, and ultradeep modes. Use for multi-source comparisons, technical evaluations, market research, and high-stakes decision support.
Headless spreadsheet engine for financial modeling, data analysis, and scenario comparison. Use when: building financial models with ratios and what-if scenarios, computing derived values from tabular data with formulas, producing .xlsx files with live formulas (not static values) for human review, any task where the agent would otherwise write imperative code to manipulate numbers that a spreadsheet does naturally. Triggers: financial model, scenario analysis, ratio computation, balance sheet, P&L, what-if, sensitivity analysis, banking ratios, spreadsheet model, build a model, projection, forecast. Do NOT use for: simple CSV/Excel read/write (use the xlsx skill), chart-only tasks, or data volumes exceeding ~5000 rows.
USE FOR news search. Returns news articles with title, URL, description, age, thumbnail. Supports freshness and date range filtering, SafeSearch filter and Goggles for custom ranking.
Execute autonomous multi-step research using Google Gemini Deep Research Agent. Use for: market analysis, competitive landscaping, literature reviews, technical research, due diligence. Takes 2-10 minutes but produces detailed, cited reports. Costs $2-5 per task.
Orchestrate multiple independent agents running simultaneously, leveraging Claude Sonnet 4.5's parallel tool execution capabilities to maximize throughput on multi-task requests.
An agent that helps relationship managers prepare for upcoming client meetings by synthesizing a tailored Point of View and detailed Speaker Notes from multiple information sources.
Solana blockchain development — core concepts, clients, RPC, tokens, and payments for agent-driven tooling.
Expert Next.js developer specializing in Next.js 14+, App Router, Server Components, and modern React patterns. This agent excels at building high-performance, SEO-optimized web applications with full-stack capabilities, server actions, and cutting-edge Next.js features.
Senior AI Security Architect. Expert in Prompt Injection Defense, Zero-Trust Agentic Security, and Secure Server Actions for 2026.
Skill for creating custom lint rules by leveraging the existing linter ecosystems of various programming languages. This is a linter designed for AI Agents rather than humans, and its error messages function as correction instruction prompts for AI. Create custom rules in the `lints/` directory using standard methods for each language, including Rust (dylint), TypeScript/JavaScript (ESLint), Python (pylint), Go (golangci-lint), etc. Use this skill in the following scenarios: (1) When you want AI to enforce project-specific coding rules; (2) When you want to create lint rules that output AI-readable correction instructions when violations occur; (3) When you want to enforce naming conventions, structural patterns, and consistency rules through AI-driven linting. Triggers: "Create a linter rule", "Add a lint rule", "Enforce this pattern", "AI linter", "Custom lint", "Code rules", "Naming rules", "Structural rules", "create a linter rule", "add a lint rule", "enforce this pattern", "AI linter".