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로컬 화면 및 오디오 캡처로 기기 기록 검색

Screenpipe를 사용하여 에이전트가 채팅 기반 메모리 계층 대신, 컴퓨터에서 본 내용이나 들은 내용을 개인 정보 보호가 보장된 로컬 우선 메모리로 저장하고 검색할 수 있도록 지원합니다. 화면 텍스트, 앱 컨텍스트, 대본을 검색 가능하게 만듭니다.

로컬 화면 및 오디오 캡처로 기기 기록 검색란 무엇인가요?

이 스킬은 AI 에이전트(Claude Code, Cursor, Codex 등)가 Screenpipe를 활용하여 사용자의 컴퓨터 화면과 오디오 입력을 개인 정보 보호가 보장된 로컬 환경에 기록하고 검색할 수 있도록 합니다. 기존의 채팅 기록 기반 메모리와 달리, 사용자가 실제로 보고 들은 내용을 검색 가능한 형태로 저장함으로써 에이전트가 더 풍부한 컨텍스트를 바탕으로 작업을 수행할 수 있습니다. Screenpipe는 이벤트 기반 캡처를 통해 CPU 사용률을 5-10%로 유지하며, 접근성 트리 추출과 OCR을 결합해 효율적으로 데이터를 수집합니다. MCP(Memory-Context Protocol) 호환 클라이언트와 함께 사용할 수 있어, 개발 도구 및 기타 에이전트 플랫폼과의 통합이 용이합니다.

지원 대상~Claude Code~Codex CLI~Cursor
npx skills add https://github.com/agentskillexchange/skills/tree/main/skills/capture-local-screen-and-audio-context-so-agents-can-search-what-happened-on-your-device
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이 에이전트 스킬이 미리 로드된 새 채팅을 엽니다.

OpenAIChatGPTClaudeClaudeGeminiGeminiGrokGrokPerplexityPerplexityDeepSeekDeepSeek

문서

로컬 화면 및 오디오 캡처로 에이전트가 기기 기록 검색 가능하게 하기

에이전트가 채팅 기반 메모리 계층에 의존하는 대신, 컴퓨터에서 본 내용이나 들은 내용의 개인 정보 보호가 보장된 로컬 우선 메모리가 필요할 때 Screenpipe를 사용하세요. 검색 가능한 화면 텍스트, 앱 컨텍스트, 대본을 포함합니다.

전제 조건

Screenpipe 데스크톱 앱 또는 소스 빌드, 로컬 화면 및 오디오 권한, 충분한 로컬 저장 공간, 그리고 선택적으로 MCP 호환 에이전트 클라이언트가 필요합니다.

설치

사용자 환경에 맞는 업스트림 설치 또는 설정 경로를 사용하세요.

  • 메인 브랜치가 빠르게 변경되며 호환성을 깨뜨릴 수 있음을 유의하세요. 안정적인 버전을 원한다면 앱 릴리스를 확인하세요: https://github.com/screenpipe/screenpipe/releases. 그에 맞는 git 커밋을 사용하세요.

기본 사용법 또는 시작 노트:

  • 최소 요구 사항: 8GB RAM 권장. 월 약 5–10GB 디스크 공간. 최신 하드웨어에서 CPU 사용률은 일반적으로 5–10%이며, 이벤트 기반 캡처로 변경 사항이 있을 때만 프레임을 처리합니다.

  • 최신 하드웨어에서 일반적인 CPU 사용률은 5–10%입니다. 이벤트 기반 캡처는 변경 사항이 있을 때만 프레임을 처리하며, 접근성 트리 추출은 OCR보다 훨씬 가볍습니다.

  • 출처: https://github.com/screenpipe/screenpipe

  • 업스트림 문서에서 추출: https://raw.githubusercontent.com/screenpipe/screenpipe/HEAD/README.md

문서

출처

Individual skills in this repo

This repo contains 20 individual skills — each has its own dedicated page.

Academic Paper Citation Network Mapper

Builds citation networks from Semantic Scholar API and CrossRef DOI metadata. Visualizes paper influence graphs using NetworkX, identifies seminal works, and tracks research lineage across fields.

ACF Custom Fields REST Exposer

Exposes Advanced Custom Fields data through the WordPress REST API using register_rest_field and acf_format_value. Handles repeater fields, flexible content layouts, and gallery fields with proper serialization.

ACF Extended for Advanced Custom Fields Workflows

An ASE skill built around ACF Extended, the WordPress enhancement suite for Advanced Custom Fields that adds field types, admin improvements, front-end forms, options pages, and developer tooling. It is a practical fit for agents working inside complex WordPress content models and custom field workflows.

ACF to Gutenberg Block Migrator

Converts Advanced Custom Fields field groups into native Gutenberg blocks using the ACF Block API v2 and @wordpress/scripts build pipeline. Maps ACF repeaters, groups, and flexible content to InnerBlocks and block attributes with server-side rendering via acf_register_block_type().

Activepieces Open Source Workflow Automation

Activepieces is an open-source, self-hostable workflow automation platform with 200+ integrations. It provides a visual builder for creating automated workflows and exposes all its connectors as MCP servers for AI agent use.

ActivityWatch Cross-Platform Automated Time Tracker and Producti

ActivityWatch is a privacy-first, open-source automated time tracker that records application usage, browser activity, and AFK status across Windows, macOS, and Linux. With 16k+ GitHub stars, it provides detailed productivity analytics without sending data to external servers.

act Local GitHub Actions Runner

act is an open-source CLI tool that runs GitHub Actions workflows locally using Docker, enabling fast feedback on workflow changes without pushing to GitHub. It is a standard tool for local Actions development and testing.

Add a browser review checkpoint before risky agent actions with

Use AgentClick when an agent should pause before risky commands, plans, drafts, or code changes so a human can inspect, edit, approve, or reject them in a purpose-built browser UI.

Add Claude design-system and accessibility workflows with UX/UI

Use UX/UI Agent Skills when Claude should generate tokens, component specs, accessibility audits, and framework-specific UI code from a repeatable design workflow.

Add executable smoke tests for shell scripts and CLIs before ref

Use Bats-core when an agent needs to turn fragile shell scripts or command-line workflows into something it can verify repeatedly after edits. The agent writes focused Bash tests for success paths, failure paths, and output contracts, then runs them locally or in CI before a refactor, release, or incident fix goes out.

Add graph-backed memory and context retrieval to agent workflows

Use Cognee to ingest project knowledge into graph and vector memory so agents can retrieve durable context across sessions and workflows.

Add IDE-style semantic code navigation and symbol-safe refactors

Give a coding agent symbol-aware lookup, cross-file rename, and structural edit tools before it starts making brittle text-only changes.

Add managed long-term memory to LangGraph agents with LangMem

Give LangGraph agents memory management and search tools so they can store, retrieve, and update durable facts across sessions.

Add multimodal lifelong memory to MCP and Python agents with Sim

Use SimpleMem to store, compress, index, and retrieve text or multimodal memories for agents through MCP or Python integrations.

Add persistent project memory and hook-driven synthesis with Cla

Keep Claude Code sessions grounded in prior decisions, project context, and daily handoff notes instead of starting from zero every time.

Add Postgres-native vector retrieval to agent and RAG workflows

Store embeddings beside application data in Postgres, create vector indexes, and query nearest neighbors for semantic search, RAG, recommendations, or agent memory retrieval.

Address GitHub PR review comments from the current branch with g

Find the open PR for the current branch, gather unresolved review comments, and drive a focused comment-resolution workflow with gh-authenticated context.

Add runtime guardrails to TypeScript agents with VoltAgent

Use VoltAgent to intercept, validate, and enforce input/output policies in TypeScript agent workflows.

Add temporal context memory to agent workflows with Zep

Use Zep as an external context layer for agents that need to store events, assemble temporal graph context, and retrieve relevant memory before model calls.

Adobe Firefly API Batch Image Generator

Calls Adobe Firefly

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