Topic: ai
10,359 skills in this topic.
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build-judge
Build an LLM-as-Judge evaluator for one specific failure mode. Binary pass/fail only. Use when a failure mode requires interpretation (tone, faithfulness, relevance, completeness) and cannot be checked with code. Do NOT use when the failure can be checked with regex, schema validation, or execution tests. Do NOT use before completing error analysis (/upgrade-evals).
breethomas/bette-think 13
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eval-rag
Evaluate RAG pipeline retrieval and generation quality separately. Measure Recall@k, Precision@k, MRR, NDCG@k for retrieval. Assess faithfulness and relevance for generation. Use when the AI feature uses retrieval (search, knowledge base, document QA). Do NOT use for non-RAG AI features.
breethomas/bette-think 13
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generate-test-data
Create diverse synthetic test inputs using dimension-based tuple generation. Use when bootstrapping an eval dataset, when real user data is sparse, or when stress-testing specific failure hypotheses. Do NOT use when you already have 100+ representative real traces (use stratified sampling instead).
breethomas/bette-think 13
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upgrade-evals
Systematic error analysis on real AI traces. Read traces, judge pass/fail, let failure categories emerge from data, compute failure rates, decide what to fix. Use when you have 50+ test cases or are seeing production failures. Do NOT use when you have fewer than 20 test cases (use /start-evals first).
breethomas/bette-think 13
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conference-scheduler
Generate optimized conference schedules using Google OR-Tools CP-SAT solver. Use when the user needs to create conference schedules from CSV data with constraints like speaker conflicts, track distribution, room assignments, educational flow, and speaker availability. Supports both single-day and multi-day conferences. Handles inputs from Google Sheets CSV exports with talks (ID, title, summary, track, level, speakers, availability) and schedule slots (day, times, rooms). Outputs CSV and Markdown schedules.
stephanj/conference-scheduling-skill 16
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conference-scheduler
Generate optimized conference schedules using SolverForge (Timefold compatible). Use when the user needs to create conference schedules from CSV data with constraints like speaker conflicts, track distribution, room assignments, educational flow, and speaker availability. Supports both single-day and multi-day conferences. Python-native solution with no Java project setup required.
stephanj/conference-scheduling-skill 16
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conference-scheduler
Generate optimized conference schedules using TimeFold (formerly OptaPlanner). Use when the user needs to create conference schedules from CSV data with constraints like speaker conflicts, track distribution, room assignments, educational flow, and speaker availability. Supports both single-day and multi-day conferences. Handles inputs from Google Sheets CSV exports with talks (ID, title, summary, track, level, speakers, availability) and schedule slots (day, times, rooms). Outputs CSV and Markdown schedules.
stephanj/conference-scheduling-skill 16
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azure-resource-health-diagnose
Analyze Azure resource health, diagnose issues from logs and telemetry, and create a remediation plan for identified problems.
github/awesome-copilot 27,659
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import-infrastructure-as-code
Import existing Azure resources into Terraform using Azure CLI discovery and Azure Verified Modules (AVM). Use when asked to reverse-engineer live Azure infrastructure, generate Infrastructure as Code from existing subscriptions/resource groups/resource IDs, map dependencies, derive exact import addresses from downloaded module source, prevent configuration drift, and produce AVM-based Terraform files ready for validation and planning across any Azure resource type.
github/awesome-copilot 27,659
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csharp-async
Get best practices for C# async programming
github/awesome-copilot 27,659
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csharp-mstest
Get best practices for MSTest 3.x/4.x unit testing, including modern assertion APIs and data-driven tests
github/awesome-copilot 27,659
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postgresql-code-review
PostgreSQL-specific code review assistant focusing on PostgreSQL best practices, anti-patterns, and unique quality standards. Covers JSONB operations, array usage, custom types, schema design, function optimization, and PostgreSQL-exclusive security features like Row Level Security (RLS).
github/awesome-copilot 27,659
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postgresql-optimization
PostgreSQL-specific development assistant focusing on unique PostgreSQL features, advanced data types, and PostgreSQL-exclusive capabilities. Covers JSONB operations, array types, custom types, range/geometric types, full-text search, window functions, and PostgreSQL extensions ecosystem.
github/awesome-copilot 27,659
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azure-resource-health-diagnose
Analyze Azure resource health, diagnose issues from logs and telemetry, and create a remediation plan for identified problems.
github/awesome-copilot 27,659
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multi-stage-dockerfile
Create optimized multi-stage Dockerfiles for any language or framework
github/awesome-copilot 27,659
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playwright-generate-test
Generate a Playwright test based on a scenario using Playwright MCP
github/awesome-copilot 27,659
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go-mcp-server-generator
Generate a complete Go MCP server project with proper structure, dependencies, and implementation using the official github.com/modelcontextprotocol/go-sdk.
github/awesome-copilot 27,659
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mcp-create-adaptive-cards
Skill converted from mcp-create-adaptive-cards.prompt.md
github/awesome-copilot 27,659
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mcp-create-declarative-agent
Skill converted from mcp-create-declarative-agent.prompt.md
github/awesome-copilot 27,659
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openapi-to-application-code
Generate a complete, production-ready application from an OpenAPI specification
github/awesome-copilot 27,659
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scaffolding-oracle-to-postgres-migration-test-project
Scaffolds an xUnit integration test project for validating Oracle-to-PostgreSQL database migration behavior in .NET solutions. Creates the test project, transaction-rollback base class, and seed data manager. Use when setting up test infrastructure before writing migration integration tests, or when a test project is needed for Oracle-to-PostgreSQL validation.
github/awesome-copilot 27,659
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power-bi-report-design-consultation
Power BI report visualization design prompt for creating effective, user-friendly, and accessible reports with optimal chart selection and layout design.
github/awesome-copilot 27,659
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create-implementation-plan
Create a new implementation plan file for new features, refactoring existing code or upgrading packages, design, architecture or infrastructure.
github/awesome-copilot 27,659
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ai-prompt-engineering-safety-review
Comprehensive AI prompt engineering safety review and improvement prompt. Analyzes prompts for safety, bias, security vulnerabilities, and effectiveness while providing detailed improvement recommendations with extensive frameworks, testing methodologies, and educational content.
github/awesome-copilot 27,659