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Found 7,876 Skills
Interact with GitLab via the glab CLI. Supports five MR workflows — Read (summarize), Review (full code/security/QA review), Fix (review + implement), CI Fix (fix pipeline failures), and Feedback (address review comments). Trigger whenever the user provides a GitLab MR URL or says anything like "อ่าน MR", "ดู MR", "check MR", "review MR", "ช่วย review MR นี้", "ตรวจ MR", "แก้ตาม MR", "fix MR", "fix CI", "fix pipeline", "แก้ pipeline", "แก้ตาม comment", "แก้ตาม feedback", "address feedback", or just pastes a GitLab MR URL. Also supports listing MRs, viewing MR status, checking CI/CD pipelines, approving MRs, and other glab operations. Trigger on "check pipeline", "list open MRs", "pipeline failed", or any GitLab-related task.
Generate high-level overall design for large features. Produces database model overview, core flow diagrams, and phased iteration plan. Use when user needs overall architecture planning for a big feature, not detailed class-level design. Triggers on "总体设计", "初步设计", "方案设计", "overall design". Does NOT do detailed design — use detail-designer for class/method level. Does NOT implement code.
Design and enforce AI-friendly verification for a GRACE project. Use when modules need stronger automated tests, traceable logs, execution-trace checks, or verification that is robust enough for autonomous and multi-agent workflows.
Apply Test-Driven Development workflow for new features and bugfixes.
Autonomous AI Project Agent & Cron Task Runner. Orchestrates repetitive AI-driven engineering tasks with state persistence (Memory) and advanced workflow controls.
Interactive model selection workflow with paginated navigation. Use when users want to select a model interactively - guides them through provider selection then model selection using the question tool with pagination support for large lists.
This skill should be used when the user asks to "create a GitHub Actions workflow", "set up CI/CD", "configure GitHub Actions", "add automated testing", "deploy with GitHub Actions", or needs guidance on GitHub Actions workflows, syntax, or automation.
Github Issue Creator - Auto-activating skill for Enterprise Workflows. Triggers on: github issue creator, github issue creator Part of the Enterprise Workflows skill category.
Data pipeline expert for ETL, Apache Spark, Airflow, dbt, and data quality
Expert guidance for building production-grade AI agents and workflows using Pydantic AI (the `pydantic_ai` Python library). Use this skill whenever the user is: writing, debugging, or reviewing any Pydantic AI code; asking how to build AI agents in Python with Pydantic; asking about Agent, RunContext, tools, dependencies, structured outputs, streaming, multi-agent patterns, MCP integration, or testing with Pydantic AI; or migrating from LangChain/LlamaIndex to Pydantic AI. Trigger even for vague requests like "help me build an AI agent in Python" or "how do I add tools to my LLM app" — Pydantic AI is very likely what they need.
Documentation generation workflow covering API docs, architecture docs, README files, code comments, and technical writing.
Collaboration workflow for GitHub Issue handling. Used when users receive an issue that needs analysis and response. Through the four-step process of "Diagnosis → Qualification → Decision → Response", produce accurate root cause analysis and appropriate user responses from an issue, avoiding misjudgment of problem types or unprofessional responses.