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Topic: ai

10,359 skills in this topic.

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
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
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
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
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
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
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
automate-this Analyze a screen recording of a manual process and produce targeted, working automation scripts. Extracts frames and audio narration from video files, reconstructs the step-by-step workflow, and proposes automation at multiple complexity levels using tools already installed on the user machine.
github/awesome-copilot 27,659
suggest-awesome-github-copilot-agents Suggest relevant GitHub Copilot Custom Agents files from the awesome-copilot repository based on current repository context and chat history, avoiding duplicates with existing custom agents in this repository, and identifying outdated agents that need updates.
github/awesome-copilot 27,659
suggest-awesome-github-copilot-instructions 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.
github/awesome-copilot 27,659
suggest-awesome-github-copilot-skills 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.
github/awesome-copilot 27,659
az-cost-optimize Analyze Azure resources used in the app (IaC files and/or resources in a target rg) and optimize costs - creating GitHub issues for identified optimizations.
github/awesome-copilot 27,659
azure-pricing Fetches real-time Azure retail pricing using the Azure Retail Prices API (prices.azure.com) and estimates Copilot Studio agent credit consumption. Use when the user asks about the cost of any Azure service, wants to compare SKU prices, needs pricing data for a cost estimate, mentions Azure pricing, Azure costs, Azure billing, or asks about Copilot Studio pricing, Copilot Credits, or agent usage estimation. Covers compute, storage, networking, databases, AI, Copilot Studio, and all other Azure service families.
github/awesome-copilot 27,659
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
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
remember-interactive-programming A micro-prompt that reminds the agent that it is an interactive programmer. Works great in Clojure when Copilot has access to the REPL (probably via Backseat Driver). Will work with any system that has a live REPL that the agent can use. Adapt the prompt with any specific reminders in your workflow and/or workspace.
github/awesome-copilot 27,659
context-map Generate a map of all files relevant to a task before making changes
github/awesome-copilot 27,659
refactor-plan Plan a multi-file refactor with proper sequencing and rollback steps
github/awesome-copilot 27,659
what-context-needed Ask Copilot what files it needs to see before answering a question
github/awesome-copilot 27,659
copilot-sdk Build agentic applications with GitHub Copilot SDK. Use when embedding AI agents in apps, creating custom tools, implementing streaming responses, managing sessions, connecting to MCP servers, or creating custom agents. Triggers on Copilot SDK, GitHub SDK, agentic app, embed Copilot, programmable agent, MCP server, custom agent.
github/awesome-copilot 27,659
aspnet-minimal-api-openapi Create ASP.NET Minimal API endpoints with proper OpenAPI documentation
github/awesome-copilot 27,659
csharp-async Get best practices for C# async programming
github/awesome-copilot 27,659
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
csharp-nunit Get best practices for NUnit unit testing, including data-driven tests
github/awesome-copilot 27,659