Deploy web projects to Netlify with its command-line tool. The skill checks login status, links or creates a site, detects build settings, and publishes a preview or production version with deployment URLs and log links.
Deploy applications to Render by inspecting the code and preparing service settings. Generate a render.yaml configuration or create services through MCP, an agent tool connection, then check deployment status, logs, and basic service health.
Deploy an application or website to Vercel and receive its deployment link. Create a preview by default, request production explicitly, or use the included fallback script when the command line tool has no saved credentials.
Draft structured RFCs, proposals for gathering feedback before a major decision. Organize background, weighted criteria, alternatives, costs, and a recommendation so stakeholders can compare choices and understand the reasons for the proposed direction.
Create a technical design document before implementation by answering questions about the problem, scope, architecture, risks, and delivery plan. The skill adjusts sections to project size and covers security, testing, monitoring, and recovery where relevant.
Create specialized assistants for Cursor that work with their own context, separate from the main conversation. Define responsibilities, instructions, output formats, model choices, and execution settings for reusable workflows such as verification, debugging, and documentation.
Turn a recurring workflow into a new agent skill through guided discussion. Define use cases, activation conditions, file structure, and instructions, then create and validate SKILL.md and supporting files, including workflows using external tools through MCP.
Design specialized assistants that work with their own separate context. Define responsibilities, delegation conditions, working steps, and report formats for reusable subagents handling verification, debugging, security audits, or code reviews.
Stress-test an idea, plan, or proposal through focused critique. The skill examines assumptions, opposing arguments, failure scenarios, attacks, or evidence, then uses your responses to refine the position and identify unresolved trade-offs and risky assumptions.
Use a panel of three to five agents to decide between options or assess a plan. Independent initial opinions and anonymous deliberation lead to one verdict with confidence, preserved dissent, a validation test, and a next action.
Turn Figma screens and components into code that follows an existing project's conventions. Retrieve design details, screenshots, and assets through Figma MCP, an agent connection, then reuse existing components and check the implementation against the design.
Build working web pages, components, and app interfaces around a clear visual concept. Coordinate typography, color, spacing, motion, and interaction details, adapting layouts to different screen sizes while avoiding repetitive visual templates.
Review web interface code for accessibility, visual design, and interaction issues. This skill checks specified files against interface guidelines and returns concise findings grouped by file, with line numbers to help locate each issue.
Investigate unfamiliar codebases before fixing bugs, adding features, or refactoring. Follow relevant code paths, plan focused changes, and verify results, while recording useful discoveries in .notebook/ so later sessions can build on earlier investigation.
Guide an AI agent through code changes with explicit assumptions, simple implementations, focused edits, and testable goals. Use it for bug fixes, features, refactoring, or reviews to reduce guesswork and unnecessary changes.
Find and manage documentation in Confluence through Atlassian MCP, a connection to Atlassian tools. Search in plain language, read and summarize pages, create or update structured content, browse spaces, and add page comments.
Plan AWS architectures, compare services, and review security using documentation verified through AWS MCP tools, which connect agents to external information. Get implementation examples and trade-offs tailored to the team's existing tools, experience, and constraints.
Manage Jira issues through Atlassian MCP, a connection that lets an AI agent use Jira tools. Find tasks, create issues and subtasks, update assignees, add comments, and change status using the detected project configuration.
Write and edit READMEs, guides, and other documentation using the code as evidence. Improve structure, wording, and terminology while checking related pages and links against the project's contribution process and documentation style guide.
Collect review threads and comments from the open GitHub pull request for the current branch. Summarize the fixes each comment needs, then apply changes for the comments the user selects using the gh command-line tool.
Audit AGENTS.md, rules, skills, and their references for broken paths or commands. Optional independent agent reviews assess redundant instructions and practical usefulness, producing reports that identify what to retain, review, or consider trimming.
Design and review how a system is divided into modules, cohesive parts with clear responsibilities. Evaluate data ownership, communication rules, dependencies, and failure handling, and decide when to split or merge parts without assuming a particular technology.
Turn agreed requirements or design documents into actionable development tasks grounded in existing code. Define observable acceptance criteria, scope, affected behavior, and unresolved decisions so builders can understand what to deliver and verify.
Design and implement a NestJS backend organized into business modules within one deployable application. The skill defines module boundaries, separates data ownership, builds layered code and event communication, and validates isolation through checks and tests.
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