io.github.microsoft/ai-agents-for-beginners/deploying-scalable-agents

Take one working agent prototype go scalable, observable production deployment for Microsoft Foundry. E cover deployment patterns (client-hosted, hosted agents, agent workflows), the agent lifecycle, model routing, response caching, evaluation gates, human-in-the-loop approval, observability with OpenTelemetry, cost optimisation, and smoke-testing deployed agents with the AI Smoke Test action. Based on Lesson 16 of AI Agents for Beginners. USE FOR: deploy one agent go production, scale one agent, Microsoft Foundry hosted agent, Foundry Agent Service, model routing, response caching, evaluation gate, release gate, human approval workflow, agent observability, agent tracing, agent cost optimisation, smoke test one hosted agent, production customer support agent. DO NOT USE FOR: building your first agent (start with Lesson 01), running agents locally on-device (use local-ai-agents / Lesson 17), Azure infrastructure provisioning we no relate to agents, non-Foundry deployment targets.

io.github.microsoft/ai-agents-for-beginners/testing-course-samples

Use wen dem ask to check, test, do smoke-test, or run di course notebook and code samples against live Microsoft Foundry / Azure OpenAI setup. E cover how to set environment (.env, az login, packages), di scripts/validate-notebooks.ps1 runner, how to understand PASS/FAIL results, and which lessons ~need extra resources (Azure AI Search, GitHub MCP, Foundry Local, Playwright).

io.github.max-sixty/worktrunk/writing-user-outputs

CLI output formatting standards for worktrunk. Load before editing any code that calls warning_message, hint_message, error_message, info_message, eprintln, or println, or that produces strings the user will see (CLI help, progress UI, snapshot text). Documents ANSI color nesting rules, message patterns, and output system architecture.

io.github.EpicenterHQ/epicenter/ui-design

Design, explore, implement, polish, redesign, and review Epicenter interfaces from product direction through component-system collapse. Use when co-designing a screen, asking "what do other apps do", comparing UI directions or comparable apps, turning a rough feature idea into a buildable Svelte surface, choosing @epicenter/ui components, changing packages/ui, or replacing class-heavy markup and local interface primitives. Not for a tiny CSS-only repair unless it reveals a broader pattern.

io.github.agentscope-ai/AgentTeams/mcp-server-management

Use when admin asks to configure an MCP tool server (e.g., GitHub, weather API), rotate credentials, grant/revoke worker access to MCP tools, or add a custom API integration via YAML.

io.github.github/awesome-copilot/reviewing-oracle-to-postgres-migration

Identifies Oracle-to-PostgreSQL migration risks by cross-referencing code against known behavioral differences (empty strings, refcursors, type coercion, sorting/collations, UNION ALL planner risks, materialized-view refresh requirements, timestamps, concurrent transactions, etc.). Use when planning a database migration, reviewing migration artifacts, or validating that integration tests cover Oracle/PostgreSQL differences.

io.github.cursor/plugins/typescript-best-practices

TypeScript best practices. Use when reading or editing any .ts or .tsx file.

io.github.simstudioai/sim/emcn-design-review

Review UI code for alignment with the emcn design system — components, tokens, patterns, and conventions

io.github.simstudioai/sim/react-query-best-practices

Audit React Query usage for best practices — key factories, staleTime, mutations, and server state ownership

io.github.microsoft/ai-agents-for-beginners/testing-course-samples

Use when asked to validate, test, smoke-test, or run the course's notebook and code samples against a live Microsoft Foundry / Azure OpenAI configuration. Covers environment setup (.env, az login, packages), the scripts/validate-notebooks.ps1 runner, interpreting PASS/FAIL results, and which lessons need extra resources (Azure AI Search, GitHub MCP, Foundry Local, Playwright).

io.github.microsoft/ai-agents-for-beginners/deploying-scalable-agents

Take a working agent prototype to a scalable, observable production deployment on Microsoft Foundry. Covers deployment patterns (client-hosted, hosted agents, agent workflows), the agent lifecycle, model routing, response caching, evaluation gates, human-in-the-loop approval, observability with OpenTelemetry, cost optimisation, and smoke-testing deployed agents with the AI Smoke Test action. Based on Lesson 16 of AI Agents for Beginners. USE FOR: deploy an agent to production, scale an agent, Microsoft Foundry hosted agent, Foundry Agent Service, model routing, response caching, evaluation gate, release gate, human approval workflow, agent observability, agent tracing, agent cost optimisation, smoke test a hosted agent, production customer support agent. DO NOT USE FOR: building your first agent (start with Lesson 01), running agents locally on-device (use local-ai-agents / Lesson 17), Azure infrastructure provisioning unrelated to agents, non-Foundry deployment targets.

io.github.microsoft/ai-agents-for-beginners/testing-course-samples

Use when asked to validate, test, smoke-test, or run the course's notebook and code samples against a live Microsoft Foundry / Azure OpenAI configuration. Covers environment setup (.env, az login, packages), the scripts/validate-notebooks.ps1 runner, interpreting PASS/FAIL results, and which lessons need extra resources (Azure AI Search, GitHub MCP, Foundry Local, Playwright).

io.github.modu-ai/moai-adk/moai-domain-database

Database specialist covering PostgreSQL, MongoDB, Redis, Oracle, and cloud database platforms (Neon, Supabase, Firestore). Use for schema design, query optimization, indexing strategies, data modeling, or cloud database selection. Cloud vendor guide absorbed from moai-platform-database-cloud.

io.github.JetBrains/intellij-community/testing

Comprehensive testing reference for running tests in IntelliJ codebase via tests.cmd. Use when running, debugging, or troubleshooting test execution.

io.github.JetBrains/intellij-community/testing

Comprehensive testing reference for running tests in IntelliJ codebase via tests.cmd. Use when running, debugging, or troubleshooting test execution.

io.github.EpicenterHQ/epicenter/writing-voice

House voice for substantial prose: clear, direct, natural, and read-aloud friendly. Use for voice passes, tone work, rewrites, or prose that sounds corporate or AI-shaped.

io.github.microsoft/ai-agents-for-beginners/deploying-scalable-agents

Take a working agent prototype to a scalable, observable production deployment on Microsoft Foundry. Covers deployment patterns (client-hosted, hosted agents, agent workflows), the agent lifecycle, model routing, response caching, evaluation gates, human-in-the-loop approval, observability with OpenTelemetry, cost optimisation, and smoke-testing deployed agents with the AI Smoke Test action. Based on Lesson 16 of AI Agents for Beginners. USE FOR: deploy an agent to production, scale an agent, Microsoft Foundry hosted agent, Foundry Agent Service, model routing, response caching, evaluation gate, release gate, human approval workflow, agent observability, agent tracing, agent cost optimisation, smoke test a hosted agent, production customer support agent. DO NOT USE FOR: building your first agent (start with Lesson 01), running agents locally on-device (use local-ai-agents / Lesson 17), Azure infrastructure provisioning unrelated to agents, non-Foundry deployment targets.

io.github.keybase/client/react-devtools-profile

Use when analyzing a React DevTools Profiler export (.json with "dataForRoots"/"commitData") — re-render storms, commit fan-out, "why did this component render", send/interaction render cost. NOT for Chrome Performance traces (those have "traceEvents" — use electron-profile).

io.github.gibbok/typescript-book/typescript-book-review

Review and editing guide for TypeScript book and reference content in the style of The Concise TypeScript Book. Use when reviewing or editing educational prose, translated or non-English content, code examples, chapters, table-of-contents entries, or Markdown formatting in this repository to identify and fix typos, grammar mistakes, formatting problems, and minor clarity issues without altering the original meaning or the book’s concise, practical, example-driven style.

io.github.BuilderIO/agent-native/design-exploration

Use Design for UI/UX exploration, side-by-side design directions, interactive prototype previews, user selection, iteration, and design-to-code handoff through the hosted Design MCP app.

io.github.BuilderIO/agent-native/security

Secure coding practices for agent-native apps: input validation, SQL injection, XSS, secrets, data scoping, and auth. Use when writing any action, route, or component that touches user data or external input.

io.github.comet-ml/opik/writing-e2e-tests

Use when a developer wants to add, write, or create an end-to-end test for an Opik feature, page, or branch — e.g. "add an e2e test for the experiments comparison page", "write a test for the feature I just built", "e2e test for this branch", "cover the dataset items flow with a test". Runs the full loop in tests_end_to_end/e2e/ — analyze the feature and frontend code, explore the live UI with the Playwright MCP, write the Page Object Model + spec, and run it locally until green.

io.github.fastrepl/anarlog/sqlite-schema-design

Design or review schemas for `crates/cloudsync` using SQLite Sync constraints, not generic SQLite advice. Use when adding synced tables, changing synced columns, or planning CloudSync-safe migrations.

io.github.fastrepl/anarlog/reactive-sqlite-ui

Build SQLite-backed reactive UI in `apps/desktop` using stable patterns for reads, selection, forms, writes, and loading states. Use when implementing or reviewing screens built on `useDrizzleLiveQuery` and SQLite mutations.