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Found 3,754 Skills
Create and manage a git worktree for parallel feature development, then open the new worktree in the editor (code/Cursor) for a second Codex session. Use when the user asks to work on another feature simultaneously, run multiple features in parallel, spin up a parallel workspace, or open a new worktree even if they do not mention worktree explicitly.
This skill drafts weekly reports by synthesizing the progress documented in the Obsidian vault. It is suitable for scenarios where users want to generate weekly summaries based on recently created files, previous reports, and project background documents.
Extract insights and intelligence from meeting discussions. Identifies key decisions, action items, and patterns from meeting content.
Synthesize and generate AWS infrastructure as code using CDK. Creates composable infrastructure components and deployment patterns programmatically.
Personal writing style preferences. Reference this skill when writing, translating, or editing content to ensure consistent style, punctuation, and formatting.
Develop and deploy Lakeflow Jobs on Databricks. Use when creating data engineering jobs with notebooks, Python wheels, or SQL tasks. Invoke BEFORE starting implementation.
Use this skill when the user asks to implement an issue, "work on this issue", "implement issue", "develop based on an issue", "implement-issue". Requires Gitee MCP Server to be configured.
Generate a pedagogically-grounded study guide for learning an unfamiliar codebase. Use when the user wants to onboard onto a codebase, understand a project's architecture, create learning materials for a team, or asks things like "help me learn this codebase", "create an onboarding guide", "I'm new to this project", "how does this system work", "study guide for this repo", or "explain this codebase to me". Produces a structured document that builds understanding from purpose to systems to patterns, using evidence-based learning techniques (elaborative interrogation, concept mapping, threshold concepts, worked examples, progressive disclosure).
Build, extend, and configure AEM components end-to-end. Covers component node structure (cq:Component), Touch UI dialogs (cq:dialog with Granite UI), Sling Models, client libraries, edit configuration (cq:editConfig), and content templates. Use when creating new AEM components, adding or modifying component dialogs, wiring Sling Models, setting up clientlibs, extending Core Components, configuring edit behavior, or troubleshooting component rendering. Also activate when the user mentions cq:Component, cq:dialog, componentGroup, Granite UI widgets, or AEM component architecture.
Review a skill and extract deterministic, mechanical steps into shell scripts. Makes skills more reliable by separating precision work (scripts) from judgment work (AI). Use when asked to extract scripts from a skill, make a skill more deterministic, or split a skill into script + prompt.
Expert knowledge for Azure AI Document Intelligence development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when using AnalyzeDocument/Markdown APIs, custom models, containers/Docker, SAS/managed identity, or VNets, and other Azure AI Document Intelligence related development tasks. Not for Azure AI services (use microsoft-foundry-tools), Azure AI Search (use azure-cognitive-search), Azure AI Language (use azure-language-service), Azure AI Immersive Reader (use azure-immersive-reader).
Send a push notification via ntfy or Bark when work is complete. Use this skill whenever the user says "notify me", "alert me", "ping me when done", "/ntfy", or wants to be notified after a long-running task finishes. Also trigger when the user mentions ntfy, Bark, push notifications for task completion, or says things like "let me know when it's done" in the context of wanting an external notification. Supports normal and urgent priority levels via "/ntfy" (normal) and "/ntfy urgent".