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Found 3,014 Skills
Creates VS Code custom agent files (.agent.md) for specialized AI personas with tools, instructions, and handoffs. Use when scaffolding new custom agents, configuring agent workflows, or setting up agent-to-agent handoffs.
Django migration patterns and safety workflow for PostHog. Use when creating, adjusting, or reviewing Django/Postgres migrations, including non-blocking index/constraint changes, multi-phase schema changes, data backfills, migration conflict rebasing, and product model moves that require SeparateDatabaseAndState.
Commit message conventions, staging practices, and commit best practices. Covers conventional commits, explicit staging workflow, logical change grouping, humble fact-based communication style, and automatic issue detection. Use when user mentions committing changes, writing commit messages, git add, git commit, staging files, or conventional commit format.
Guides technology selection and implementation of AI and ML features in .NET 8+ applications using ML.NET, Microsoft.Extensions.AI (MEAI), Microsoft Agent Framework (MAF), GitHub Copilot SDK, ONNX Runtime, and OllamaSharp. Covers the full spectrum from classic ML through modern LLM orchestration to local inference. Use when adding classification, regression, clustering, anomaly detection, recommendation, LLM integration (text generation, summarization, reasoning), RAG pipelines with vector search, agentic workflows with tool calling, Copilot extensions, or custom model inference via ONNX Runtime to a .NET project. DO NOT USE FOR projects targeting .NET Framework (requires .NET 8+), the task is pure data engineering or ETL with no ML/AI component, or the project needs a custom deep learning training loop (use Python with PyTorch/TensorFlow, then export to ONNX for .NET inference).
Bulk grading workflows for Canvas LMS assignments using rubrics. Covers single grading, batch grading, and code execution strategies with safety-first dry runs.
App Store screenshot generation skill with two workflows: (A) AI-powered: fetches app metadata via `asc` CLI, analyzes screenshots with Claude vision, writes a ScreenPlan JSON, then generates final marketing screenshots via Gemini (`asc app-shots generate`), and optionally translates them (`asc app-shots translate`). (B) HTML-based (deterministic): writes a CompositionPlan JSON with precise device placement, text overlays, and backgrounds, then runs `asc app-shots html` to produce a self-contained HTML page with real device mockup frames and client-side PNG export — no AI needed. Use this skill when: (1) User asks to "create App Store screenshots" or "generate screenshot plan" (2) User asks to "make an HTML screenshot page" or "compose screenshots with mockups" (3) User mentions "asc-app-shots", "app-shots html", "composition plan", or screenshot marketing (4) User wants deterministic, reproducible screenshot layouts with device mockups (5) User wants AI-generated screenshots via Gemini
GitHub Actions workflow templates for uploading builds and releasing to the App Store using the `asc` CLI. Use this skill when: (1) Setting up a CI/CD pipeline that uploads a signed IPA/PKG to App Store Connect (2) Automating App Store submission from GitHub Actions using `asc` (3) Adding TestFlight distribution steps (add beta group, update "What's New") (4) User asks "how do I release to the App Store from CI", "create a GitHub Actions workflow for App Store submission" (5) Wiring `asc builds upload`, `asc versions set-build`, `asc versions submit` into a pipeline (6) Adding a pre-submission readiness gate using `asc versions check-readiness`
Keap integration. Manage crm and marketing automation and sales data, records, and workflows. Use when the user wants to interact with Keap data.
Create and manage Kibana alerting rules via REST API or Terraform. Use when creating, updating, or managing rule lifecycle (enable, disable, mute, snooze) or rules-as-code workflows.
Use this skill when you need to illustrate Markdown articles with high-polish editorial visuals, visual bible planning, structured prompts, optional Qiniu Cloud upload, and insert image references into article publishing workflows.
Set up and optimize repositories for AI coding agents. Creates minimal AGENTS.md, CLAUDE.md symlink, docs/REQUIREMENTS.md, docs/BUSINESS-RULES.md, feedback loops, and deterministic enforcement (Claude Code hooks, OpenCode plugins). Use when user wants to make a repo AI-friendly, set up AGENTS.md/CLAUDE.md, document requirements/business rules for AI, add pre-commit hooks for AI workflows, or optimize codebase structure for coding agents.
Implement OpenAI Harness Engineering practices in any repository. Use when setting up or refactoring agent-first workflows, writing or upgrading AGENTS.md and PLANS.md, creating deterministic smoke/test/lint/typecheck harness commands, defining strict architecture boundaries and data-shape contracts, wiring observability from day 1, and adding entropy-control checks plus CI automation for reliable autonomous runs.