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Found 10,367 Skills
Automate Microsoft Excel on Windows via CLI. Use when creating, reading, or modifying Excel workbooks from scripts, CI/CD, or coding agents. Supports Power Query, DAX, PivotTables, Tables, Ranges, Charts, VBA. Triggers: Excel, spreadsheet, workbook, xlsx, excelcli, CLI automation.
Guides the agent through async database integration with SQLAlchemy and Alembic migrations for FastAPI applications. Triggered when users ask to "set up a database", "create database models", "add SQLAlchemy", "create migrations", "run Alembic", "connect to PostgreSQL", "add a database layer", "create CRUD operations", "set up async database", or mention SQLAlchemy, Alembic, ORM, database models, async database, connection pool, or database migrations.
Agentic memory system for writers - track characters, relationships, scenes, and themes
Use when conducting comprehensive code review for pull requests across multiple quality dimensions. Orchestrates 12-15 specialized reviewer agents across 4 phases using star topology coordination. Covers automated checks, parallel specialized reviews (quality, security, performance, architecture, documentation), integration analysis, and final merge recommendation in a 4-hour workflow.
Regenerates documentation files (agents.md, agent-skills.md, plugins.md, usage.md) from marketplace data using Jinja templates. Use when plugins are added, updated, or removed to keep documentation in sync.
Comprehensive ESLint agent for JavaScript/TypeScript code quality. Use when setting up ESLint, configuring linting rules, analyzing code for issues, fixing violations, or integrating ESLint into development workflows. Triggers on requests involving code quality, linting, static analysis, or ESLint configuration for JavaScript, TypeScript, React, or Node.js projects.
Create git commits using conventional commits with scopes. Use when the user asks to commit, make a commit, save changes, or any git commit operation. Never include Co-Authored-By lines, AI agent mentions, or any reference to Claude, AI, or automated tooling in commit messages.
The definitive skill for building and deploying high-performance, distributed systems using Cloud Native standards (Dapr, Redis, Microservices). Use when a project requires professional-grade architecture, cross-service communication, elastic scaling, and sub-second agentic latency. Mandatory for flawless deployments on Kubernetes (Local or Cloud).
Gemini CLI - Google's AI-powered command-line interface for building, debugging, and deploying with AI. Use when working with Gemini CLI configuration, commands, tools, extensions, hooks, skills, or MCP servers. Keywords: gemini-cli, google-ai, terminal, code-generation, workflow-automation, cli-commands, gemini-md, authentication, configuration, sandboxing, headless-mode, custom-commands, agent-skills, extensions, hooks, mcp-servers, file-system-tools, shell-commands, web-search, ide-integration.
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.
Review code changes from multiple specialist perspectives in parallel. Use when you want a thorough review of a PR, branch, or set of changes covering security, performance, correctness, edge cases, and ripple effects. Spawns parallel reviewer agents that each focus on a different lens, then synthesizes into a unified review.