Loading...
Loading...
Found 3,437 Skills
Apply production-ready best practices for weapp-vite projects. Use when creating or refactoring mini-program projects with weapp-vite, designing directory/config conventions, choosing subpackage and chunk strategy, enabling auto routes/components, setting CI/devtool workflows, or debugging build/output issues in `vite.config.ts` and `app.json`.
Agent skill that faithfully reproduces Hummingbot CLI commands (connect, balance, create, start, stop, status, history) via Hummingbot API. V1 focuses on core trading workflows. For DEX/LP strategies on Solana, use lp-agent instead.
Guidelines for maintaining external Dart packages, covering versioning, publishing workflows, and pull request management. Use when updating Dart packages, preparing for a release, or managing collaborative changes in a repository.
Apply effective software quality consultancy practices. Use when consulting, advising clients, or establishing consultancy workflows.
This skill should be used when the user asks to "create git commit", "manage branches", "follow git workflow", "use Conventional Commits", "handle merge conflicts", or asks about git branching strategies, version control best practices, pull request workflows. Provides comprehensive Git workflow guidance for team collaboration.
Assess a codebase's readiness for autonomous agent development and provide tailored recommendations. Use when asked to evaluate how well a project supports unattended agent execution, assess development practices for agent autonomy, audit infrastructure for agent reliability, or improve a codebase for autonomous agent workflows. Triggers on requests like "assess this project for agent readiness", "how autonomous-ready is this codebase", "evaluate agent infrastructure", or "improve development practices for agents".
Autonomous development agent that picks tasks from a project board (Jira, ClickUp, GitHub Issues), explores the codebase, implements the solution, opens a PR, and notifies the team. Configurable per-project via project files in ~/.config/delivering-tickets/projects/. Use this skill when the user asks to "work on a ticket", "pick up a task", "implement issue X", "work autonomously on the board", "take the next task", or any variation of autonomous task execution from a project board. Also triggers when the user mentions delivering-tickets, project configuration, or wants to set up autonomous development workflows for their team. Available commands: /delivering-tickets (start), /delivering-tickets:check (check replies), /delivering-tickets:status (workflow status), /delivering-tickets:setup (verify environment), /delivering-tickets:project (manage projects). Do NOT use for general coding without a ticket, standalone code reviews, project setup without a board configured, or questions unrelated to task execution from a project board.
AI-assisted video editing workflows for cutting, structuring, and augmenting real footage. Covers the full pipeline from raw capture through FFmpeg, Remotion, ElevenLabs, fal.ai, and final polish in Descript or CapCut. Use when the user wants to edit video, cut footage, create vlogs, or build video content.
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).
This skill should be used when the user asks to "set up a Python project with uv", "manage dependencies with uv", "create a uv project", "use uv for Python package management", or needs guidance on uv workflows, pyproject.toml configuration, lockfiles, and development dependency groups.
Use this skill when writing, reviewing, or structuring technical documentation for software projects. Triggers on API documentation, tutorials, architecture decision records (ADRs), runbooks, onboarding guides, README files, or any developer-facing prose. Covers documentation structure, writing style, audience analysis, and doc-as-code workflows for engineering teams.
Google Calendar integration. Manage communication data, records, and workflows. Use when the user wants to interact with Google Calendar data.