Loading...
Loading...
Found 3,545 Skills
Juniors-focused React and TypeScript best practices. Use this skill when writing or reviewing code to enforce clear, consistent, and maintainable patterns across common scopes like React, TypeScript, styling, devtools, assets, and Git.
全プロパティに詳細な解説が付いたTerraform AWSテンプレートを作成する。ユーザーが「/terraform-annotated-aws-blueprint」コマンドで構築したいインフラの概要を入力すると、Terraform Providerスキーマに基づいた正確な属性一覧と、AWS公式ドキュメントに基づく解説を含むテンプレートを生成する。
Systematically debug and diagnose issues methodically. Uses diagnostic techniques to identify root causes and implement fixes.
Scan, fix, and remediate security vulnerabilities in a local code repository using Mobb MCP/CLI. Use when the user asks to scan for vulnerabilities, run a security check, auto-fix issues, remediate findings, or apply Mobb fixes (e.g., \"scan this repo\", \"fix security issues\", \"remediate vulnerabilities\", \"run Mobb on my changes\").
Use when the user says "vm", "voice mode", "team", "coordinate", or needs to orchestrate multiple agents working on related tasks in parallel
Create phased implementation plans from research findings. Invoke when a task needs an implementation plan.
Build public-facing web forms for data collection without Desk access. Use when creating customer submission forms, feedback forms, or self-service portals with Frappe Web Forms.
UI/UX patterns and guidelines derived from official Frappe apps (CRM, Helpdesk, HRMS). Use when designing interfaces for custom Frappe applications to ensure consistency with the ecosystem.
Integrate OpenAI Agents SDK with You.com MCP server - Hosted and Streamable HTTP support for Python and TypeScript. - MANDATORY TRIGGERS: OpenAI Agents SDK, OpenAI agents, openai-agents, @openai/agents, integrating OpenAI with MCP - Use when: developer mentions OpenAI Agents SDK, needs MCP integration with OpenAI agents
Generate an actionable, dependency-ordered tasks.md for the feature based on available design artifacts.
Initialize and configure LangGraph projects with proper structure, langgraph.json configuration, environment variables, and dependency management. Use when users want to (1) create a new LangGraph project, (2) set up langgraph.json for deployment, (3) configure environment variables for LLM providers, (4) initialize project structure for agents, (5) set up local development with LangGraph Studio, (6) configure dependencies (pyproject.toml, requirements.txt, package.json), or (7) troubleshoot project configuration issues.
Captures key decisions, questions, follow-ups, and learnings at end of a coding session. Writes a single markdown file per session. Use when done with a session, wrapping up work, running /done, creating a session summary, saving session context, or ending a coding session.