'development' 검색 결과

Work with John, a product manager persona, to clarify requirements through user interviews and stakeholder alignment. Turn a product vision into a PRD, a product requirements document, and small, validated increments for development.

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• Turning a product idea into a PRD
• Discovering requirements through user interviews
• Aligning stakeholders on product requirements

Set up and customize Pi, a terminal coding agent framework. This skill guides model configuration, extension development, terminal interfaces, and integration with other applications through its SDK, a software development kit, or process messaging.

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• Install Pi and configure model access
• Create custom tools and terminal interfaces
• Embed Pi in another application

Manage Obsidian notes from the command line: read, create, search, update properties, and review tasks. Also supports plugin and theme development through reload commands, error checks, screenshots, and inspection of page elements.

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• Search and update notes in an Obsidian vault
• Add tasks to daily notes
• Review tags, properties, and backlinks

Reconstruct how an AI coding agent produced a feature, pull request, or report using local ax records. Connect sessions, commits, skills, and tool activity into an evidence-based sequence with key decisions, checks, and a repeatable recipe.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Tracing how a shipped feature was built
• Reconstructing development from a commit
• Finding the workflow behind work done on a known date

Keep development work aligned with the original request by recording requirements, protected behavior, and validation checks. Use phase reviews, deviation notices, and a final audit for tasks involving APIs, stored data, or changes that must preserve existing behavior.

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• Keeping multi-part development requests on track
• Preserving existing behavior during API or database changes
• Checking that real behavior is not replaced with mocks

Build and refactor AWS infrastructure with TypeScript or Python using AWS CDK, a toolkit for defining cloud resources in code. Get guidance on resource selection, Lambda packaging, stack organization, and checks before deployment.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Creating AWS CDK stacks and reusable components
• Refactoring existing infrastructure code
• Adding Lambda functions to a CDK application

Find which companion skill to use next and in what order. This guide maps ideas, prototypes, requirements, issues, implementation, and session handoffs into practical workflows based on the current development situation.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Choose a starting point for a development idea
• Plan a build spanning multiple sessions
• Find a workflow for incoming bug reports

Turn a plain language app request into a project plan, technology choices, and coordinated development tasks. Use project templates to structure web, mobile, desktop, API, or command line applications, with agents handling different development responsibilities.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Build a full-stack app from a plain language request
• Choose technologies and structure for a new project
• Coordinate agents across UI, API, and database work

Design and build Apify integrations for workflow platforms, AI agents, AI frameworks, or applications. Follow guidance for authentication, asynchronous cloud task execution, result retrieval, spending limits, error handling, testing, and release preparation.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Adding Apify actions to a workflow automation platform
• Building an Apify plugin for an AI agent
• Connecting an AI framework package to Apify

Plan and build AI agents through selected stages of design, implementation, tool integration, memory, and evaluation. The workflow points to specialized skills for single agents, coordinated agent teams, and stateful workflows using CrewAI or LangGraph.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Designing an autonomous AI agent
• Building a team of agents with distinct roles
• Creating stateful workflows with LangGraph

Plan AI application development by selecting relevant phases and companion skills. The workflow covers language model integration, retrieval from documents, agents, machine learning pipelines, monitoring, and security, with prompts and quality checklists.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Plan AI features and language model integration
• Organize RAG retrieval design and implementation
• Map agent roles, tools, and memory

Guide a scoped coding task through specification, implementation, and review. Set acceptance criteria, verification checks, iteration limits, and approval gates, then correct identified gaps until the requirements pass or a stopping condition is reached.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Build a small feature from specification through verification
• Modify a module against explicit acceptance criteria
• Repeat fixes and checks within an iteration limit

Create and improve skills for Claude Code plugins. Define when a skill should activate, organize its instructions and supporting files, and check that examples, scripts, and references work together as intended.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Create a new skill inside a Claude Code plugin
• Clarify the requests that should activate a skill
• Split lengthy instructions into supporting references

Design autonomous agents for Claude Code plugins, including when they should run, what they should do, and which tools they may use. Provides file templates and guidance for validating configuration and testing behavior.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Create a code review agent
• Clarify when an agent should run
• Limit the tools an agent can access

Create reusable slash commands for recurring work in Claude Code. This guide covers arguments, file references, tool permissions, shell commands, and input checks, with examples for reviews, tests, documentation, and plugin workflows.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Turning recurring requests into reusable commands
• Building commands with arguments and file references
• Organizing commands shared across a team

Move Python application settings out of code and into environment variables. Use pydantic-settings to check value types and required fields at startup, organize development and production settings, and keep secrets out of version control.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Replace hardcoded settings with environment variables
• Separate development and production configuration
• Detect missing settings at application startup

Plan Claude Code agent teams by choosing team size, roles, and agent types with the tools each task needs. Preset compositions cover reviews, debugging, implementation, research, security audits, and migrations, alongside display settings for local or CI environments.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Choose team size and roles for a development task
• Assign separate review areas to multiple agents
• Split bug investigation across competing hypotheses

Create a ready-to-paste prompt for another agent or a later session to continue development work. Ground the handoff in current repository evidence, distinguish verified results from hypotheses and blockers, and identify uncommitted files and next steps.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Ending a session with unfinished development work
• Handing a branch over to another agent
• Preparing instructions for a later session

Set up a Quarkus application or REST API using Maven or Gradle. Check the Java environment, choose extensions for features such as databases or authentication, generate the project, and run it in development mode with live reload.

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• Start a new Quarkus REST API
• Create a Maven or Gradle project
• Choose database and authentication extensions

Audit GitHub Codespaces startup time and spending, then identify up to three evidence-based improvements to development containers, machine sizes, prebuilds, or idle timeouts, with validation results and expected impact.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Investigating slow Codespaces startup
• Reviewing Codespaces spending
• Trimming unused development container components

Turn a product requirements document for a major development initiative into a technical architecture specification, including a Mermaid system diagram, major features, supporting technologies, technical value, and a rough size estimate.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Turning product requirements into a technical architecture
• Visualizing system layers and data flows
• Identifying services and infrastructure needed for features

Turns vague development requests into reviewed plans through planning, architecture, and quality-review agents. It compares alternatives, defines testable acceptance criteria, and records decisions, stopping before implementation unless execution has been explicitly approved.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Defining the scope of a vague development request
• Comparing implementation approaches before coding
• Planning migrations or security-sensitive changes

Create separate Git working directories for issue fixes, pull request reviews, and feature development. Optional tmux terminal sessions help manage parallel tasks, return to ongoing work, and clean up completed sessions.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Working on several issue fixes in parallel
• Preparing a separate workspace for a pull request review
• Returning to an ongoing development session

Turn a development idea into an actionable plan with implementation steps, testable acceptance criteria, and risk mitigations. Gather requirements through focused questions, generate plans directly from detailed requests, or review proposals from multiple perspectives.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Clarifying requirements for a vague development idea
• Planning implementation from detailed requirements
• Comparing design options from multiple perspectives