Guide the user to add a data source, connection, or API connector to a Canvas App via Power Apps Studio, then verify and continue. USE WHEN the user asks to add a data source, add a connection, add an API, add a connector, connect to SharePoint / Dataverse / SQL / Excel / OneDrive / Teams / Office 365, or any similar request to make new data available to the app. DO NOT USE WHEN the user is asking to list or describe existing data sources — call list_data_sources or list_apis directly instead.
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Use when the workflow is too slow, too expensive, or both and needs latency, cost, or token usage optimization.
End-to-end workflow for building, deploying, inspecting, and debugging .NET MAUI and MAUI Blazor Hybrid apps as an AI agent. Use when: (1) Building or running a MAUI app on iOS simulator, Android emulator, Mac Catalyst, macOS (AppKit), or Linux/GTK, (2) Inspecting or interacting with a running app's UI (visual tree, tapping, filling text, screenshots, property queries), (3) Debugging Blazor WebView content via CDP, (4) Managing simulators or emulators, (5) Setting up MauiDevFlow in a MAUI project, (6) Completing a build-deploy-inspect-fix feedback loop, (7) Handling permission dialogs and in-app/simulator alerts, (8) Managing multiple simultaneous apps via the broker daemon. Covers: the unified `maui devflow` CLI, androidsdk.tool, appledev.tools, adb, xcrun simctl, Linux `xdotool`-backed driver caveats, and dotnet build/run for all MAUI target platforms including macOS (AppKit) and Linux/GTK. Do not use for generic desktop automation, AppleScript macros, or arbitrary host-level `xdotool` control unrelated to MAUI app debugging. --- # MAUI AI Debugging Build, deploy, inspect, and debug .NET MAUI apps from the terminal. This skill enables a complete
Run one iteration of the autoresearch loop — study existing attack methods, design a better optimizer, implement it, benchmark it, and commit. Meant to be called repeatedly via /loop.
Use this when the user needs to choose between multiple ML routes after survey but before committing to implementation. Compares candidate approaches, selects one, records rejected routes, and keeps a fallback.
Enforces design review gate after brainstorming — bridges superpowers:brainstorming into the metaswarm quality pipeline
Guide agent through geospatial ETL workflows using built-in, learned, and fabricated geo tools
Build and run multi-agent pipelines using AgentFlow. Use when the user wants to orchestrate codex, claude, or kimi agents in parallel, in sequence, or in iterative loops. Trigger when the user mentions multi-agent workflows, fan-out tasks, code review pipelines, iterative implementation loops, running agents on EC2/ECS, or any task that needs multiple AI agents coordinated together. Also trigger for "agentflow", "pipeline", "graph of agents", "fanout", "shard", or "run codex on remote".
Use this skill to extract and list tables from Excel files using the eparse CLI. Call when you need to discover or extract tabular data from one or more Excel files or directories. Supports output to console, SQLite, or PostgreSQL.
- 📁 .claude-plugin/
- 📁 .cursor-plugin/
- 📁 .github/
- 📄 .gitignore
- 📄 AGENTS.md
- 📄 CODE_OF_CONDUCT.md
Use when the user asks about available workflow skills, wants an overview of the engineering workflow, or references "nanostack". Also triggers on /nanostack.
- 📁 .ospec/
- 📁 agents/
- 📁 assets/
- 📄 .gitignore
- 📄 build-index-auto.js
- 📄 LICENSE
Document-driven OSpec workflow for AI-assisted development with change-ready initialization, execution, validation, and archive readiness.
