GitHub Copilot skills: 1003 worth installing

Reports concrete, generalisable friction in agent tooling and workflows to an internal suggestion box with structured, safe context.

Runs Dart analysis, applies mechanical fixes and formats changed code using the Dart CLI or available MCP tools.

Creates and organises Dart and Flutter unit tests with package:test, including grouped cases, async checks, mocks and test commands.

Fixes Dart analysis and runtime failures by tracing errors, applying code changes, and checking results with analysis, tests and hot reload.

Resolves Dart package version conflicts by auditing constraints, upgrading compatible dependencies, and refreshing only the affected lockfile entry.

Applies Dart 3 pattern matching to validate data, destructure collections and records, parse responses and handle sealed types exhaustively.

Generates Mockito test doubles for Dart dependencies and guides stub, verification and test execution with build_runner.

Generates LCOV test coverage reports for Dart and Flutter projects using the coverage package and Dart VM tooling.

Guides developers through Dart primary constructor syntax, migration, concise constructors and common initialisation errors.

Guides the architecture, packaging, testing and distribution of Dart command-line applications, including argument parsing, exit codes and subprocesses.

Migrates Dart test assertions from package:matcher to package:checks, translating equality, collection, property, asynchronous and error expectations.

Generates Dart FFI bindings from native headers with package:ffigen instead of relying on hand-written bindings.

Guides Dart and Flutter packages in compiling, linking and packaging C/C++ libraries as Native Assets with FFI bindings.

Creates and edits Enterprise WeChat Smart Pages with the WeCom CLI, including page structures, attachments, embedded data tables, dashboards and forms.

Configures Ultracite for JavaScript and TypeScript projects, then checks, fixes and diagnoses linting and formatting issues.

Evaluates Google Cloud workloads against operational excellence practices for readiness, incidents, resource use, change automation and improvement.

Manages custom stateful agents on Google Cloud's Gemini Enterprise Agent Platform, including creation, configuration, listing, updates and deletion.

Evaluates Google Cloud workloads against the Well-Architected Framework's performance pillar and recommends resource, scaling, modularity and monitoring improvements.

Recommends ways to reduce the environmental impact of Google Cloud workloads through efficient architecture, low-carbon regions and emissions tracking.

Adds a brief set of targeted questions that helps users check assumptions, facts and missing context before acting on substantive answers.

Deploys Model Garden models to Google Agent Platform endpoints, checks operations, estimates costs and cleans up deployed resources.

Recommends relevant Claude Academy courses, tutorials and use cases when people are learning how to use Claude or its products.

Manages Google Cloud Agent Platform prompts by listing, retrieving, creating, versioning and deleting prompt resources through Python.

Fine-tunes open and Gemini models on Google Agent Platform, guiding environment setup, dataset validation, job configuration, monitoring and deployment.