ci-debugging
Systematic CI/CD failure diagnosis. Load when debugging CI failures, build issues, or test pipeline problems.
Free to get · One-click to use
Systematic CI/CD failure diagnosis. Load when debugging CI failures, build issues, or test pipeline problems.
Routes .NET/C# requests to the correct domain skill and loads coding standards as baseline for all code paths. Determines whether the task needs API, UI, testing, devops, tooling, or debugging guidance based on prompt analysis and project signals, then invokes skills in the right order. Always invoked after [skill:using-dotnet] detects .NET intent. Do not use for deep API, UI, testing, devops, tooling, or debugging implementation guidance.
Use when starting implementation, debugging, or feature work on a project with captured knowledge.
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 system alerts, (8) Managing multiple simultaneous apps via the broker daemon. Covers: maui-devflow CLI, androidsdk.tool, appledev.tools, adb, xcrun simctl, xdotool, and dotnet build/run for all MAUI target platforms including macOS (AppKit) and Linux/GTK. --- # MAUI AI Debugging Build, deploy, inspect, and debug .NET MAUI apps from the terminal. This skill enables a complete
How to add RMS/Peak metering at any point in a Faust DSP for debugging with MCP
Use at the START of every task, before writing any code, running tests, debugging, reviewing, or designing. This skill determines which methodology and domain skills must be invoked. MUST be invoked before any implementation, debugging, review, testing, or specification work begins.
Systematic debugging loop — reproduce, analyze root cause, fix, then challenge with a fresh verification pass to distinguish fundamental fixes from workarounds. Use when debugging issues or when unexpected behavior needs a methodical approach.
Debug Linux kernel crashes using the crash utility. Use when users mention kernel crash, kernel panic, vmcore analysis, kernel dump debugging, crash utility, kernel oops debugging, analyzing kernel crash dump files, using crash commands, or locating root causes of kernel issues.
Astro framework development and debugging. Use when working with Astro projects, optimizing build performance, debugging Astro components, troubleshooting SSR issues, configuring Astro integrations, or improving Astro application performance.
Automated browser testing and debugging using Browser DevTools MCP. Use when testing web pages, debugging frontend issues, verifying UI behavior, or automating browser interactions.
Browser automation and debugging through Chrome DevTools Protocol CLI commands. Use when controlling a Chrome session with remote debugging, navigating pages, listing tabs, selecting pages, taking screenshots, inspecting DOM state, or running CDP-style browser actions instead of the headless-browser CLI.
A systematic approach to debugging complex issues.
skill-sample/ ├─ SKILL.md ⭐ Required: skill entry doc (purpose / usage / examples / deps) ├─ manifest.sample.json ⭐ Recommended: machine-readable metadata (index / validation / autofill) ├─ LICENSE.sample ⭐ Recommended: license & scope (open source / restriction / commercial) ├─ scripts/ │ └─ example-run.py ✅ Runnable example script for quick verification ├─ assets/ │ ├─ example-formatting-guide.md 🧩 Output conventions: layout / structure / style │ └─ example-template.tex 🧩 Templates: quickly generate standardized output └─ references/ 🧩 Knowledge base: methods / guides / best practices ├─ example-ref-structure.md 🧩 Structure reference ├─ example-ref-analysis.md 🧩 Analysis reference └─ example-ref-visuals.md 🧩 Visual reference
More Agent Skills specs Anthropic docs: https://agentskills.io/home
├─ ⭐ Required: YAML Frontmatter (must be at top) │ ├─ ⭐ name : unique skill name, follow naming convention │ └─ ⭐ description : include trigger keywords for matching │ ├─ ✅ Optional: Frontmatter extension fields │ ├─ ✅ license : license identifier │ ├─ ✅ compatibility : runtime constraints when needed │ ├─ ✅ metadata : key-value fields (author/version/source_url...) │ └─ 🧩 allowed-tools : tool whitelist (experimental) │ └─ ✅ Recommended: Markdown body (progressive disclosure) ├─ ✅ Overview / Purpose ├─ ✅ When to use ├─ ✅ Step-by-step ├─ ✅ Inputs / Outputs ├─ ✅ Examples ├─ 🧩 Files & References ├─ 🧩 Edge cases ├─ 🧩 Troubleshooting └─ 🧩 Safety notes
Skill files are scattered across GitHub and communities, difficult to search, and hard to evaluate. SkillWink organizes open-source skills into a searchable, filterable library you can directly download and use.
We provide keyword search, version updates, multi-metric ranking (downloads / likes / comments / updates), and open SKILL.md standards. You can also discuss usage and improvements on skill detail pages.
Quick Start:
Import/download skills (.zip/.skill), then place locally:
~/.claude/skills/ (Claude Code)
~/.codex/skills/ (Codex CLI)
One SKILL.md can be reused across tools.
Everything you need to know: what skills are, how they work, how to find/import them, and how to contribute.
A skill is a reusable capability package, usually including SKILL.md (purpose/IO/how-to) and optional scripts/templates/examples.
Think of it as a plugin playbook + resource bundle for AI assistants/toolchains.
Skills use progressive disclosure: load brief metadata first, load full docs only when needed, then execute by guidance.
This keeps agents lightweight while preserving enough context for complex tasks.
Use these three together:
Note: file size for all methods should be within 10MB.
Typical paths (may vary by local setup):
One SKILL.md can usually be reused across tools.
Yes. Most skills are standardized docs + assets, so they can be reused where format is supported.
Example: retrieval + writing + automation scripts as one workflow.
Some skills come from public GitHub repositories and some are uploaded by SkillWink creators. Always review code before installing and own your security decisions.
Most common reasons:
We try to avoid that. Use ranking + comments to surface better skills: