Coding & Development

Go testing patterns including table-driven tests, subtests, benchmarks, fuzzing, and test coverage. Follows TDD methodology with idiomatic Go practices.

This skill embodies the principles of "Clean Code" by Robert C. Martin (Uncle Bob). Use it to transform "code that works" into "code that is clean."

Sets up a Linux environment for Flutter development. Use when configuring a Linux machine to run, build, or deploy Flutter applications.

Sets up a Windows environment for Flutter development. Use when configuring a Windows machine to run, build, or deploy Flutter applications for Windows desktop or Android.

Sets up a macOS environment for Flutter development. Use when configuring a macOS machine to run, build, or deploy Flutter applications for iOS or macOS.

Find which of a GitHub repository's dependencies are sponsorable via GitHub Sponsors. Uses deps.dev API for dependency resolution across npm, PyPI, Cargo, Go, RubyGems, Maven, and NuGet. Checks npm funding metadata, FUNDING.yml files, and web search. Verifies every link. Shows direct and transitive dependencies with OSSF Scorecard health data. Invoke with /sponsor followed by a GitHub owner/repo (e.g. "/sponsor expressjs/express").

Baseline cross-project coding conventions for naming, readability, immutability, and code-quality review. Use detailed frontend or backend skills for framework-specific patterns.

Update Azure Verified Modules (AVM) to latest versions in Bicep files.

Trigger when the user requests a review of frontend files (e.g., `.tsx`, `.ts`, `.js`). Support both pending-change reviews and focused file reviews while applying the checklist rules.

Shuffle repetitive JSON objects safely by validating schema consistency before randomising entries.

Structured Autonomy Implementation Generator Prompt

Add GET, POST, PATCH, and DELETE operations to a TypeSpec API plugin with proper routing, parameters, and adaptive cards

Suggest relevant GitHub Copilot instruction files from the awesome-copilot repository based on current repository context and chat history, avoiding duplicates with existing instructions in this repository, and identifying outdated instructions that need updates.

Structured Autonomy Implementation Prompt

dontbesilent 概念拆解。用维特根斯坦 + 奥派经济学的方法，把模糊的商业概念拆到原子级别。 触发方式：/dbs-deconstruct、/拆概念、「帮我拆解这个概念」「这个词到底什么意思」 Concept deconstruction using Wittgenstein + Austrian economics framework. Trigger: /dbs-deconstruct, "deconstruct this concept", "what does this really mean"

Update the llms.txt file in the root folder to reflect changes in documentation or specifications following the llms.txt specification at https://llmstxt.org/

Generate a TypeSpec API plugin with REST operations, authentication, and Adaptive Cards for Microsoft 365 Copilot

Analyze Terraform plan JSON output for AzureRM Provider to distinguish between false-positive diffs (order-only changes in Set-type attributes) and actual resource changes. Use when reviewing terraform plan output for Azure resources like Application Gateway, Load Balancer, Firewall, Front Door, NSG, and other resources with Set-type attributes that cause spurious diffs due to internal ordering changes.

Update a markdown file section with an index/table of files from a specified folder.

dontbesilent 商业模式诊断。两种模式：问诊（消解你的问题）和体检（拆解你的商业模式）。 触发方式：/dbs-diagnosis、/问诊、「帮我看看商业模式」「诊断一下我的业务」「我有个商业问题」 Business model diagnosis using dontbesilent's ontological framework. Two modes: consultation (dissolve your question) and checkup (analyze your business model). Trigger: /dbs-diagnosis, "diagnose my business model", "I have a business question"

Suggest relevant GitHub Copilot skills from the awesome-copilot repository based on current repository context and chat history, avoiding duplicates with existing skills in this repository, and identifying outdated skills that need updates.

Ask Copilot what files it needs to see before answering a question

Embeds native Android, iOS, or macOS views into a Flutter app. Use when integrating complex native components like maps or web views.

INVOKE THIS SKILL when building ANY retrieval-augmented generation (RAG) system. Covers document loaders, RecursiveCharacterTextSplitter, embeddings (OpenAI), and vector stores (Chroma, FAISS, Pinecone).