ergon
AI media generation CLI tool using Google's Imagen 4, Veo 3.1, and Gemini TTS. Use when the user wants to (1) generate images from text prompts, (2) edit existing images with AI, (3) explain image contents, (4) generate videos from text or images, (5) create narration/voice audio with character settings. Triggers on requests like "generate an image of...", "create a video...", "make a voice that says...", "edit this image to...", "describe this image".
eda-drc
Design validation and review. Run DRC/ERC checks, verify against constraints, check component availability, and prepare comprehensive validation reports.
eda-pcb
PCB layout and routing. Component placement, trace routing, copper pours, design rule configuration, and layout optimization for manufacturability.
eda-research
Component research and procurement. Search JLC for components, analyze datasheets, compare options, and document selections with rationale.
eda-schematics
Schematic capture and wiring. Create schematic sheets, place symbols, add wires and net labels, organize hierarchical designs.
eda-architect
Electronics project architecture and constraint definition. Guides users through defining project requirements, power systems, interfaces, and physical constraints.
searching-mlflow-traces
Searches and filters MLflow traces using CLI or Python API. Use when the user asks to find traces, filter traces by status/tags/metadata/execution time, query traces, or debug failed traces. Triggers on "search traces", "find failed traces", "filter traces by", "traces slower than", "query MLflow traces".
agent-evaluation
Use this when you need to IMPROVE or OPTIMIZE an existing LLM agent's performance - including improving tool selection accuracy, answer quality, reducing costs, or fixing issues where the agent gives wrong/incomplete responses. Evaluates agents systematically using MLflow evaluation with datasets, scorers, and tracing. Covers end-to-end evaluation workflow or individual components (tracing setup, dataset creation, scorer definition, evaluation execution).
instrumenting-with-mlflow-tracing
Instruments code with MLflow Tracing for observability. Triggers on questions about adding tracing, instrumenting agents/LLM apps, getting started with MLflow tracing, or tracing specific frameworks (LangGraph, LangChain, OpenAI, DSPy, CrewAI, AutoGen). Examples - "How do I add tracing?", "How to instrument my agent?", "How to trace my LangChain app?", "Getting started with MLflow tracing"
querying-mlflow-metrics
Fetches aggregated trace metrics (token usage, latency, trace counts, quality evaluations) from MLflow tracking servers. Triggers on requests to show metrics, analyze token usage, view LLM costs, check usage trends, or query trace statistics.
searching-mlflow-docs
Searches and retrieves MLflow documentation from the official docs site. Use when the user asks about MLflow features, APIs, integrations (LangGraph, LangChain, OpenAI, etc.), tracing, tracking, or requests to look up MLflow documentation. Triggers on "how do I use MLflow with X", "find MLflow docs for Y", "MLflow API for Z".
gemini-watermark-remove
移除 Google Gemini(Nano Banana)生成圖片中的浮水印，使用逆向 Alpha 混合演算法精確還原被覆蓋的像素
backend-ai-tools
Create AI tools for use with Vercel AI SDK agents. Use when asked to "create AI tools", "add agent tools", "create tool for AI", or "add tools to agent".
backend-auth-clerk
Clerk authentication for a Koa backend — verifying session JWTs, protecting routes by default, org-scoping queries (Clerk Organizations as the tenancy primitive), and admin gating. Use when asked to "add auth", "protect a route", "add auth to an endpoint", "scope by org", "require admin", "check the current user", or anything touching Clerk, sessions, tokens, or tenancy on the backend.
backend-compression
Add response compression (gzip/deflate) to the backend for improved performance. Use when asked to "add compression", "enable gzip", or "optimize response size".
backend-metrics
Add OpenTelemetry metrics and observability to the backend. Use when asked to "add metrics", "add observability", "track requests", or "add OpenTelemetry".
backend-model-creation
Create a new Mongoose model with proper typing, utilities, and patterns. Use when asked to "create a model", "add a data model", "create a schema", or "add a new entity".
backend-route-creation
Create a new backend API route with koa-zod-router and Zod validation. Use when asked to "create a route", "add an endpoint", "create API endpoint", or "add a new route".
backend-scaffolding
Scaffold a Koa-based backend server with standard structure including config, logging, routes, models, and database setup. Use when asked to "create a backend", "scaffold backend", "set up an API server", or "initialize backend structure".
backend-websocket
Add WebSocket support with authentication to the backend. Use when asked to "add websocket", "add real-time", "add ws support", or "create websocket endpoint".
frontend-auth-clerk
Clerk auth in a React (Vite) webapp — the token/interceptor contract, sign-in/sign-up flows, route guards, admin-only UI, org-switch state resets, and styling Clerk components with design tokens. Use when asked to "add sign-in", "guard a route", "hide something for non-admins", "check the current user in the frontend", or anything touching Clerk components, sessions, or tenant switching in the webapp.
frontend-hooks-creation
Create React Query hooks for API endpoints with proper typing and cache invalidation. Use when asked to "create hooks", "add frontend hooks", "create API hooks", or "add React Query hooks".
frontend-scaffolding
Scaffold a React frontend with Tailwind CSS, React Router, React Query, and standard project structure. Use when asked to "create a frontend", "scaffold webapp", "set up React app", or "initialize frontend structure".
new-project-scaffolding
Scaffold a new Nx monorepo project with backend, frontend, shared types library, justfile commands, and direnv setup. Use when starting a fresh project or asked to "create a new project", "scaffold a monorepo", or "set up a new workspace".
backend-ai-agent
Create AI agents using Vercel AI SDK with tool use, tracing, and failover. Use when asked to "create an AI agent", "add AI", "create LLM integration", or "build an assistant".
adynato-admin
Admin and operations work standards for forms, data entry, document drafting, setup tasks, CRM/admin consoles, and building features or content that require factual details. Use when completing admin work, filling fields, configuring systems, creating records, writing operational copy, or building anything that depends on private, account-specific, customer-specific, or otherwise unavailable facts; ask for missing information instead of inventing placeholders.
adynato-atlassian
Work with Jira, Confluence, and Atlassian Cloud links via Atlassian MCP instead of browser automation. Covers reading `atlassian.net` URLs, preferring MCP over Puppeteer for tickets and pages, summarizing issue state and comments, and falling back only when visual inspection is explicitly needed or MCP is unavailable. Use when a prompt includes Jira tickets, Confluence pages, or Atlassian links.
adynato-coding
General coding conventions for any repository. Covers writing for the human who owns the code, clear naming, clean structure, comments that explain why, and following existing linting and formatting rules. Use when writing or modifying code in any language, especially for refactors, utilities, tests, and business logic. Prefer this as baseline guidance unless a more specific skill applies.
adynato-direct-communication
Direct communication standards for replies, status updates, summaries, handoffs, comments, PR notes, admin messages, operational writing, and user-facing agent communication. Use when writing or editing communication that should be extremely informal, brief, and factual, especially when responding to Adar or producing concise internal updates.
adynato-omp-mcp
Configure MCP servers for Oh My Pi using repo-local `.omp/mcp.json` without polluting teammates. Covers preferred OMP config locations, adding `.omp/` to `.gitignore` when absent, and common setup patterns with an Atlassian Rovo example. Use when adding or updating MCP servers for a project in OMP.
adynato-seo
Handles SEO requirements for all web content including blogs, landing pages, and documentation. Covers LD+JSON schema.org structured data, internal backlinks strategy, further reading sections, meta tags, and Open Graph. Use when creating or editing any public-facing web content, blog posts, or pages that need search visibility.
adynato-vercel
Vercel deployment and configuration for Adynato projects. Covers environment variables, vercel.json, project linking, common errors like VERCEL_ORG_ID/VERCEL_PROJECT_ID, and CI/CD setup. Use when deploying to Vercel, configuring builds, or troubleshooting deployment issues.
adynato-web-api
Web API development conventions for Adynato projects. Covers API routes, middleware, authentication, error handling, validation, and response formats for Next.js and Node.js backends. Use when building or modifying API endpoints, server actions, or backend logic.
adynato-web
Web development conventions for Adynato projects. Covers image optimization with img4web, asset management, component patterns, styling, and performance best practices. Use when building or modifying web applications, adding images/assets, or creating UI components.
adynato-aimake
Integrate with aimake's AI-powered delivery pipeline via MCP. Covers connecting to aimake, using code/docs/kanban tools, understanding the card-based system, and leveraging AI capabilities. Use when building integrations with aimake or using its MCP tools.
adynato-cloudflare
Cloudflare Workers and Pages deployment for Adynato projects. Covers wrangler CLI, reading logs for debugging, KV/D1/R2 storage, environment variables, and common errors. Use when deploying to Cloudflare, debugging workers, or configuring edge functions.
adynato-github
GitHub workflow conventions for Adynato projects. Covers creating PRs with gh CLI, writing thorough descriptions, and using stacked PRs for large deliverables. Use when creating pull requests, managing branches, or breaking down large features.
adynato-mobile-api
API integration patterns for Adynato mobile apps. Covers data fetching with TanStack Query, authentication flows, offline support, error handling, and optimistic updates in React Native/Expo apps. Use when integrating APIs into mobile applications.
adynato-mobile
Mobile app development conventions for Adynato projects using React Native and Expo. Covers navigation patterns, native APIs, performance optimization, and platform-specific considerations. Use when building or modifying mobile applications.
optimizing-python-performance
Optimizes Python library performance through profiling (cProfile, PyInstrument), memory analysis (memray, tracemalloc), benchmarking (pytest-benchmark), and optimization strategies. Use when analyzing performance bottlenecks, finding memory leaks, or setting up performance regression testing.
setting-up-python-libraries
Sets up professional Python library projects with modern tooling (pyproject.toml, uv, ruff, pytest, pre-commit, GitHub Actions). Use when creating new Python libraries, modernizing existing projects to pyproject.toml, configuring linting/testing/CI, or setting up Makefiles and pre-commit hooks.
managing-python-releases
Manages Python library releases including semantic versioning, changelog maintenance (Keep a Changelog format), release automation with GitHub Actions, and deprecation workflows. Use when planning releases, writing changelogs, automating release pipelines, or communicating breaking changes.
auditing-python-security
Audits Python libraries for security vulnerabilities using Bandit, pip-audit, Semgrep, and detect-secrets. Identifies SQL injection, command injection, hardcoded credentials, secrets exposed through tracebacks, weak cryptography, and insecure deserialization. Use when reviewing library security, setting up security scanning in CI, or implementing secure coding patterns.
testing-python-libraries
Designs and implements pytest test suites for Python libraries with fixtures, parametrization, mocking, Hypothesis property-based testing, and CI configuration. Use when creating tests, improving coverage, setting up testing infrastructure, or implementing property-based testing.
designing-python-apis
Designs intuitive Python library APIs following principles of simplicity, consistency, and discoverability. Handles public re-exports, API evolution, deprecation, breaking changes, and error handling. Use when designing or reviewing a library API, exposing a symbol from a package __init__, or managing API versioning and deprecations.
building-python-clis
Builds command-line interfaces for Python libraries using Click or Typer. Includes command groups, argument handling, progress bars, shell completion, and CLI testing with CliRunner. Use when adding CLI functionality to a library or building standalone command-line tools.
improving-python-code-quality
Improves Python library code quality through ruff linting, mypy type checking, Pythonic idioms, and refactoring. Use when reviewing code for quality issues, adding type hints, configuring static analysis tools, or refactoring Python library code.
building-python-communities
Builds and manages open source Python library communities including CONTRIBUTING.md, CODE_OF_CONDUCT.md, issue/PR templates, contributor recognition, and GitHub automation. Use when setting up community infrastructure, improving contributor experience, or managing project governance.
documenting-python-libraries
Creates comprehensive Python library documentation including Google-style docstrings, Sphinx setup, API references, tutorials, and ReadTheDocs configuration. Use when writing docstrings, setting up Sphinx documentation, or creating user guides for Python libraries.
reviewing-python-libraries
Comprehensively reviews Python libraries for quality across project structure, packaging, code quality, testing, security, documentation, API design, and CI/CD. Provides actionable feedback and improvement recommendations. Use when evaluating library health, preparing for major releases, or auditing dependencies.
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