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PDF 본문 추출, 문서 병합과 페이지별 분할을 지원합니다. 페이지 수와 문서 정보를 확인하고 Markdown·HTML·Python으로 PDF를 만들며 큰 파일을 페이지별로 처리합니다.

• PDF 본문을 추출합니다
• 여러 PDF를 하나로 합칩니다
• PDF를 페이지별 파일로 나눕니다

업무, 조사, 운영, 창작용 AI 에이전트를 설계하고 구축합니다. 필요한 작업과 지식을 정리하고 작은 구성에서 시작해 계획 관리와 하위 에이전트를 단계적으로 추가합니다.

• 업무용 어시스턴트 설계
• 조사용 에이전트 구축
• 필요한 작업과 지식 정리

코드의 결함, 취약점, 성능, 유지보수성과 테스트를 점검합니다. 문제의 위치와 영향, 수정안, 개선점과 장점, 병합 가능 여부를 정리한 리뷰를 작성합니다.

• 병합 전에 변경 사항을 리뷰합니다
• 결함과 경계 조건을 확인합니다
• 취약점과 의존성을 점검합니다

Claude가 외부 기능과 데이터를 사용할 수 있도록 MCP 서버를 만듭니다. Python 또는 TypeScript 구현부터 연결 설정과 동작 확인까지 지원합니다.

• Claude에 사용자 정의 도구를 추가합니다
• 외부 API와 연결합니다
• 데이터베이스와 설정 정보를 조회합니다

Give slides, documents, reports, and HTML landing pages consistent colors and fonts. Choose from ten preset themes using a visual showcase, or create a custom theme from a description and review it before application.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Making colors and fonts consistent across slides
• Choosing a theme for documents or reports
• Styling an HTML landing page

Diagnose missing language features in Kode by checking LSP, the protocol connecting code tools to language servers. Update plugin configuration, confirm servers are recognized, and test an operation such as jumping to a definition.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Diagnosing missing LSP results in Kode
• Adding a language server through a plugin
• Reviewing a plugin's language server configuration

Build MCP servers, which connect AI agents to external services, using TypeScript or Python. Plan API access, design understandable tools and structured responses, implement authentication and error handling, and check behavior with the intended client.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Building an MCP server for an external service
• Designing tool names, inputs, and responses for agents
• Implementing an MCP server in TypeScript or Python

Guide an AI agent through feature development, bug fixes, and refactoring with clear requirements, explained design choices, and small, tested changes. Keep human decisions central while making progress and verification results visible.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Adding features to an existing project
• Tracing a bug to its root cause
• Refactoring code with tests in place

Test local web applications with Python scripts using Playwright, a browser automation tool. Verify interface behavior, investigate problems, capture screenshots, and inspect browser logs, with a helper that manages one or more application servers.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Verify buttons, links, and form behavior
• Investigate problems in dynamic web interfaces
• Capture screenshots of local applications

Turn specialized knowledge and repeatable workflows into an Agent Skill. Work through concrete usage examples, write SKILL.md, organize reusable scripts and resources, and validate the package before producing a distributable .skill file.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Turn recurring work into a reusable skill
• Package internal knowledge and API instructions
• Revise an existing skill after real use

Create original posters and static artwork by first defining a visual philosophy, then expressing it through color, shapes, spacing, and minimal text. Receive the artwork as PNG or PDF alongside a Markdown design statement.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Create a poster with minimal text
• Express a theme through abstract artwork
• Develop several pages with a shared visual direction

Configure Kode features by describing the changes you want. The skill inspects settings, adjusts status displays, response styles, and plugins, and verifies changes through settings checks and small practical operations.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Setting up or fixing the Kode status display
• Enabling TypeScript language support through plugins
• Changing the response style for a project

Build working web pages, components, and application interfaces around a clear visual direction. Shape typography, color, spacing, and animation to suit the audience and purpose, producing cohesive designs instead of repetitive, generic layouts.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Creating a landing page with a distinct visual direction
• Designing and building a dashboard
• Styling React components consistently

Draft internal communications such as progress reports, leadership updates, company newsletters, FAQs, and incident reports. The skill selects guidance for the communication type and follows its instructions for format, tone, and information gathering.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Preparing team updates on progress, plans, and problems
• Writing a company newsletter
• Drafting answers to internal FAQs

Investigate unexpected tool blocks and repeated permission prompts in Kode. The skill checks approved tools, command restrictions, inherited permissions, and session records, then verifies behavior by repeating the blocked action while preserving required user approval.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Investigating an unexpectedly blocked tool
• Diagnosing repeated permission prompts
• Comparing permissions for main agents and subagents

Review SKILL.md files and their supporting resources using eight quality dimensions. Get a score out of 120, evidence for each assessment, and prioritized suggestions to improve specialized knowledge, activation descriptions, organization, and practical instructions.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Review a skill before sharing it
• Improve descriptions that fail to trigger skill use
• Find redundant explanations in SKILL.md

Turn scattered notes and discussions into proposals, requirements documents, or decision records. The workflow gathers essential context, builds an outline, drafts sections with feedback, and checks whether readers without prior knowledge can understand the result.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Turning discussion notes into a team document
• Writing product requirements or technical proposals
• Recording decisions and tradeoffs

A sample skill for demonstration

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Research why neural architectures and training methods work through forward computation, geometry, gradients, optimization dynamics, historical experiments, and competing explanations. Use for deep mechanism questions about neural networks, AI models, layers, representations, or training; explain the meaning in plain language with evidence and explicit limits.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Recover and review local human-AI conversations from Claude Code, Codex, opencode, Grok Build, and Cursor. Use when the user wants to revisit, search, extract, summarize, or compare work across Agent session stores, time ranges, projects, or named conversations. Follow the user's requested output; question clustering, problem-space mapping, artifact review, drift analysis, and insights are optional lenses.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Reconstruct and report long-running or multi-turn research, architecture questions, reviews, decisions, completion results, and status as a clear, self-contained brief. Use when a reader must re-enter earlier context, understand the real question and its relationships, distinguish verified facts from judgment and open evidence, or make a decision without reconstructing the work log. Quote the relevant original user wording before substantive analysis, keep one coherent main line, use spatial diagrams when relationships matter, and finish with an explicit decision boundary and practical next step.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Transform an AI agent into a disciplined software development partner with strong judgment, transparent decisions, proportionate verification, and craftsmanship. Use for software implementation, feature work, bug fixing, refactoring, optimization, migrations, and sustained collaboration inside a codebase. Do not use merely because a task involves an AI agent; use a dedicated agent-design skill when the primary problem is agent architecture.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Coach leaders and managers to prepare, run, and review high-bandwidth meetings that advance real work and decisions. Use for meeting retrospectives, employee work reviews, decision meetings, agenda and question design, direct feedback, meeting-quality diagnosis, or repeated low-value discussions. Preserve direct standards without taking over the worker's work or degrading the truth signal.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Coach workers, employees, and individual contributors to turn meetings, transcripts, minutes, and work notes into better execution: infer leader expectations, diagnose previous work, identify next actions, judge delivery readiness, and prepare a high-bandwidth update. Use after meetings, during work, before reviews, or across repeated low-value discussions. Perform semantic review from source evidence.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.