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All Skills

Total 44,222 skills

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Showing 12 of 44222 skills

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Code Qualitygithub/awesome-copilot

ruff-recursive-fix

Run Ruff checks with optional scope and rule overrides, apply safe and unsafe autofixes iteratively, review each change, and resolve remaining findings with targeted edits or user decisions.

🇺🇸|EnglishTranslated
15
Frontend Developmentmodule-federation/core

mf

All-in-one Module Federation skill. Use when the user asks anything about MF — concepts, configuration, runtime API, shared dependencies, type errors, runtime error code troubleshooting, slow builds, Bridge integration, or adding MF to an existing project.

🇺🇸|EnglishTranslated
15
7 scripts/Attention
Tools & Utilitiesdontbesilent2025/dbskill

dbs

Main entry point for the dontbesilent Business Toolkit. Automatically routes to the most appropriate diagnostic tool based on your question. Triggers: /dbs, /business, "Help me figure this out" Main entry point for dontbesilent business toolkit. Routes to the right diagnostic skill. Trigger: /dbs, "help me with my business"

🇨🇳|ChineseTranslated
15
Marketing & Growthgithub/awesome-copilot

gtm-enterprise-account-planning

Strategic account planning and execution for enterprise deals. Use when planning complex sales cycles, managing multiple stakeholders, applying MEDDICC qualification, tracking deal health, or building mutual action plans. Includes the "stale MAP equals dead deal" pattern.

🇺🇸|EnglishTranslated
15
Marketing & Growthgithub/awesome-copilot

gtm-partnership-architecture

Build and scale partner ecosystems that drive revenue and platform adoption. Use when building partner programs from scratch, tiering partnerships, managing co-marketing, making build-vs-partner decisions, or structuring crawl-walk-run partner deployment.

🇺🇸|EnglishTranslated
15
Tools & Utilitiestavily-ai/skills

tavily-cli

Web search, content extraction, crawling, and deep research via the Tavily CLI. Use this skill whenever the user wants to search the web, find articles, research a topic, look something up online, extract content from a URL, grab text from a webpage, crawl documentation, download a site's pages, discover URLs on a domain, or conduct in-depth research with citations. Also use when they say "fetch this page", "pull the content from", "get the page at https://", "find me articles about", or reference extracting data from external websites. This provides LLM-optimized web search, content extraction, site crawling, URL discovery, and AI-powered deep research — capabilities beyond what agents can do natively. Do NOT trigger for local file operations, git commands, deployments, or code editing tasks.

🇺🇸|EnglishTranslated
15
AI & Machine Learninggithub/awesome-copilot

microsoft-agent-framework

Create, update, refactor, explain, or review Microsoft Agent Framework solutions using shared guidance plus language-specific references for .NET and Python.

🇺🇸|EnglishTranslated
15
Testing & QAgithub/awesome-copilot

creating-oracle-to-postgres-migration-integration-tests

Creates integration test cases for .NET data access artifacts during Oracle-to-PostgreSQL database migrations. Generates DB-agnostic xUnit tests with deterministic seed data that validate behavior consistency across both database systems. Use when creating integration tests for a migrated project, generating test coverage for data access layers, or writing Oracle-to-PostgreSQL migration validation tests.

🇺🇸|EnglishTranslated
15
Data Processinggithub/awesome-copilot

reviewing-oracle-to-postgres-migration

Identifies Oracle-to-PostgreSQL migration risks by cross-referencing code against known behavioral differences (empty strings, refcursors, type coercion, sorting, timestamps, concurrent transactions, etc.). Use when planning a database migration, reviewing migration artifacts, or validating that integration tests cover Oracle/PostgreSQL differences.

🇺🇸|EnglishTranslated
15
AI & Machine Learningninehills/skills

humanizer-zh

Remove AI generation traces from text. Suitable for editing or reviewing text to make it sound more natural and more like human writing. This is a comprehensive guide based on Wikipedia's "Signs of AI writing". It detects and fixes the following patterns: exaggerated symbolic meaning, promotional language, superficial analysis ending in -ing, vague attribution, overuse of em dashes, rule of three, AI vocabulary, negative parallelism, excessive connecting phrases.

🇨🇳|ChineseTranslated
15
AI & Machine Learninggithub/awesome-copilot

mcp-create-adaptive-cards

Skill converted from mcp-create-adaptive-cards.prompt.md

🇺🇸|EnglishTranslated
15
Backend Developmentgithub/awesome-copilot

csharp-mcp-server-generator

Generate a complete MCP server project in C# with tools, prompts, and proper configuration

🇺🇸|EnglishTranslated
15
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