Build an end-to-end evaluation pipeline for Python AI applications using pixie-qa and real language-model calls. Define criteria, prepare realistic test data, score application runs, and analyze the evidence to produce a prioritized improvement plan.
- Setting up quality checks for Python AI applications
- Creating realistic scenarios for known failure modes
- Scoring full application runs with real language-model calls
github/awesome-copilot☆ 40.2KUpdated Oct 21, 2026
Design and review infrastructure and release workflows with checks tailored to the environment. Covers automated build and deployment pipelines, containers, health checks, rollback plans, feature flags, and mobile releases to help assess readiness before deployment.
- Reviewing deployment and rollback plans
- Designing automated build and deployment pipelines
- Checking Docker and Kubernetes configurations
github/awesome-copilot☆ 40.2KUpdated Oct 21, 2026
Clarify a task through interactive questions before carrying it out. Using Joyride’s input tool, establish scope, deliverables, constraints, and success criteria, then present a plan and create a todo list before starting work.
- Clarify the scope of a vague request
- Agree on deliverables and success criteria
- Identify technical and procedural constraints
github/awesome-copilot☆ 40.2KUpdated Oct 21, 2026
Use a constructive thinking partner to review assumptions, separate evidence from interpretation, and test alternative explanations. Refine conclusions and wording so claims match the available evidence and support decisions under uncertainty.
- Checking assumptions before an important decision
- Reviewing whether evidence supports a conclusion
- Testing alternative explanations and counterexamples
github/awesome-copilot☆ 40.2KUpdated Oct 21, 2026
Guide an AI partner’s approach to fast creative work and developing ideas. Drawing on Vega’s account of a long collaboration, it emphasizes honest uncertainty, adapting to the person’s pace, thoughtful disagreement, and keeping human ownership of achievements.
- Develop ideas during a fast brainstorming session
- Adapt dialogue to a collaborator’s pace
- Build trust through honest uncertainty
github/awesome-copilot☆ 40.2KUpdated Oct 21, 2026
Shape agent collaboration around focused clarification, practical options, and small steps that can be checked. This profile emphasizes early drafts, preserving the user's intent, and turning agreed direction into concrete outputs through iteration.
- Start with a draft and refine it together
- Clarify blockers with a focused question
- Compare practical options and tradeoffs
github/awesome-copilot☆ 40.2KUpdated Oct 21, 2026
Edit Finnish text to remove formulaic phrasing associated with AI writing, including excessive passive voice, translated sentence structures, and inflated claims. Preserve factual content and formality while improving rhythm and bringing out the writer’s voice.
- Making AI-drafted Finnish text sound more natural
- Revising awkward Finnish phrasing influenced by English
- Reducing formulaic phrasing while preserving formality
github/awesome-copilot☆ 40.2KUpdated Oct 21, 2026
Organize Power Automate flows by business impact and responsible team using FlowStudio’s cached records. Find resources without active owners, audit connections to other services, review compliance metadata, and configure notifications for failures or missing runs.
- Review flows for missing governance information
- Find resources owned by departing employees
- Audit connectors and premium license needs
github/awesome-copilot☆ 40.2KUpdated Oct 21, 2026
Guide the design and review of software that handles personal data using GDPR engineering practices. Covers minimal data collection, access controls, logging, encryption, retention, deletion, and checks for code changes and infrastructure.
- Reviewing APIs and data models that handle personal data
- Checking logs for sensitive information
- Designing retention and user data deletion processes
github/awesome-copilot☆ 40.2KUpdated Oct 21, 2026
Generate illustrations, icons, game textures, sprites, and mockups from written descriptions using OpenAI or Google Gemini. The skill selects an available provider, saves the resulting image, and reports its location.
- Generate icons or illustrations from descriptions
- Create game textures and sprites
- Make mockups to explore visual ideas
github/awesome-copilot☆ 40.2KUpdated Oct 21, 2026
Monitor Power Automate across an organization's tenant using FlowStudio MCP's cached data. Review failure rates, run-health trends, flow and app inventories, and inactive owners to prepare health and compliance reports. Requires FlowStudio for Teams or MCP Pro+.
- Identify flows with high failure rates across the organization
- Review run-health trends over a selected period
- Inventory environments, flows, apps, and connections
github/awesome-copilot☆ 40.2KUpdated Oct 21, 2026
Build browser games and game engines with HTML5, Canvas, WebGL, and JavaScript. Starter templates and reference guides support 2D and 3D graphics, controls, collision detection, audio, multiplayer features, performance improvements, and publishing.
- Build a breakout, maze, or platform game
- Add movement, gravity, and collision detection
- Support touch input and game controllers
github/awesome-copilot☆ 40.2KUpdated Oct 21, 2026
Review GitHub Actions workflows for unsafe input handling, excessive token permissions, exposed secrets, and changeable action references. Get findings grouped by issue type, with severity ratings, exact YAML locations, and concrete fixes to review.
- Reviewing CI workflows for security issues
- Checking privileged triggers that run fork code
- Restricting GITHUB_TOKEN permissions
github/awesome-copilot☆ 40.2KUpdated Oct 21, 2026
Create and edit draw.io files for workflows, system architecture, database relationships, and service interactions. Organize shapes and connectors, apply consistent styling, and check file structure so diagrams can be opened and edited in draw.io.
- Turn business processes into flowcharts
- Document system components and connections
- Diagram database tables and relationships
github/awesome-copilot☆ 40.2KUpdated Oct 21, 2026
Get C# examples for timezone conversion, location lookup, and scheduling in .NET applications. The skill explains Windows and IANA timezone identifiers, daylight saving changes, and suitable libraries for different platforms and scheduling needs.
- Find timezone identifiers for cities and addresses
- Convert between UTC and local time in C#
- Handle timezones across Windows and Linux
github/awesome-copilot☆ 40.2KUpdated Oct 21, 2026
Build a Solution Blueprint for a Dynamics 365 Finance and Supply Chain Management implementation through guided interviews. Define scope and architecture, compare options, and document decisions, their rationale, assumptions, and unresolved questions across working sessions.
- Create an architecture blueprint for a new D365 implementation
- Define implementation scope and rollout phases
- Compare data migration and integration approaches
github/awesome-copilot☆ 40.2KUpdated Oct 21, 2026
Configure GitHub Dependabot to keep dependencies, the packages a project relies on, updated. Organize update pull requests into groups, set schedules and exclusion rules, and configure security updates across projects with multiple packages or package systems.
- Create or revise dependabot.yml
- Group dependency updates into fewer pull requests
- Configure updates across a monorepo
github/awesome-copilot☆ 40.2KUpdated Oct 21, 2026
Write consistent XML documentation comments for C# types and public members. Follow specific rules for summaries, parameters, return values, properties, exceptions, examples, and inherited documentation so API behavior and usage are clearly described alongside the code.
- Adding documentation to public APIs
- Standardizing parameter and return value descriptions
- Documenting exception conditions and usage examples
github/awesome-copilot☆ 40.2KUpdated Oct 21, 2026
Turn defects found during Oracle-to-PostgreSQL migration into structured bug reports. Document expected and actual behavior, reproduction steps, severity, root causes, proposed changes, and validation on both databases so teams can act on the findings.
- Documenting behavioral differences found during migration
- Organizing reproduction steps and test data
- Recording fixes, affected files, and validation steps
github/awesome-copilot☆ 40.2KUpdated Oct 21, 2026
Create Markdown documents for time-limited technical investigations before implementation. Define the decision to resolve, research tasks, success criteria, and deadlines, then record evidence, recommendations, and follow-up actions in a consistent structure.
- Investigating API capabilities before integration
- Comparing architecture options before implementation
- Planning experiments to check performance assumptions
github/awesome-copilot☆ 40.2KUpdated Oct 21, 2026
Create a clear, concise README.md after reviewing the project and workspace. Uses example READMEs to guide structure and tone, formats the result for GitHub, and includes an existing project logo or icon when available.
- Write a README for a project that lacks one
- Introduce a project to new readers
- Organize a README using existing examples
github/awesome-copilot☆ 40.2KUpdated Oct 21, 2026
Turn a specification file into a GitHub feature request issue. The skill extracts requirements, checks existing issues, and creates or updates one issue covering the specification, using a template to organize the problem, solution, and context.
- Turn a specification into a feature request issue
- Check existing issues before registering a request
- Update an existing issue with specification requirements
github/awesome-copilot☆ 40.2KUpdated Oct 21, 2026
Generate Python code for Dataverse integrations with error handling, retries, logging, and shared connection management. Include type hints, usage examples, and queries that retrieve only the records and columns needed for the task.
- Build Python integrations with Dataverse
- Add retries and logging to API operations
- Limit retrieved records and columns
github/awesome-copilot☆ 40.2KUpdated Oct 21, 2026
Write C# unit tests with TUnit using clear test structure, asynchronous checks, and multiple input cases. Get guidance on setup and cleanup, execution controls, test organization, and converting existing xUnit tests to TUnit.
- Setting up a TUnit test project
- Testing one behavior with multiple input cases
- Organizing test setup and cleanup
github/awesome-copilot☆ 40.2KUpdated Oct 21, 2026