Letta를 사용하여 에이전트의 정체성, 도구, 메모리 블록 및 대화 상태가 세션 간에 유지되어 장기 실행 어시스턴트 또는 애플리케이션 워크플로우를 지원합니다.
이 스킬은 Letta를 활용하여 장기 기억과 상태를 유지하는 AI 에이전트를 구축하는 방법을 설명합니다. Letta는 에이전트의 정체성, 사용 가능한 도구, 메모리 블록 및 전체 대화 컨텍스트를 세션이 끝난 후에도 유지함으로써, 사용자가 중단했던 작업을 자연스럽게 이어갈 수 있도록 합니다. 특히 Node.js 18+ 환경에서 Letta Code 명령줄 도구를 설치하거나, TypeScript 또는 Python SDK를 통해 애플리케이션에 통합할 수 있습니다. 이는 장기 실행 어시스턴트 워크플로우, 지속적인 고객 지원, 개인화된 학습 도우미 등 다양한 시나리오에서 유용하며, 오픈소스 저장소(https://github.com/letta-ai/letta)와 공식 문서(https://docs.letta.com/)를 통해 쉽게 시작할 수 있습니다.
npx skills add https://github.com/agentskillexchange/skills/tree/main/skills/build-stateful-agents-with-long-term-memory-using-lettaLetta를 사용하여 에이전트의 정체성, 도구, 메모리 블록 및 대화 상태가 세션 간에 유지되어 장기 실행 어시스턴트 또는 애플리케이션 워크플로우를 지원합니다.
Node.js 18+ (Letta Code 사용 시) 또는 API 자격 증명/SDK (애플리케이션 통합 시), 선택한 모델 제공자
소스 기반 지침에 따라 설치 또는 설정합니다:
로컬 터미널 워크플로우의 경우 npm install -g @letta-ai/letta-code로 Letta Code를 설치하고 letta를 실행합니다. 애플리케이션 워크플로우의 경우 TypeScript 또는 Python Letta 클라이언트를 설치하고 메모리 블록과 도구를 가진 에이전트를 생성합니다.
This repo contains 20 individual skills — each has its own dedicated page.
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.
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.
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.
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 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 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 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.
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.
Use UX/UI Agent Skills when Claude should generate tokens, component specs, accessibility audits, and framework-specific UI code from a repeatable design workflow.
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.
Use Cognee to ingest project knowledge into graph and vector memory so agents can retrieve durable context across sessions and workflows.
Give a coding agent symbol-aware lookup, cross-file rename, and structural edit tools before it starts making brittle text-only changes.
Give LangGraph agents memory management and search tools so they can store, retrieve, and update durable facts across sessions.
Use SimpleMem to store, compress, index, and retrieve text or multimodal memories for agents through MCP or Python integrations.
Keep Claude Code sessions grounded in prior decisions, project context, and daily handoff notes instead of starting from zero every time.
Store embeddings beside application data in Postgres, create vector indexes, and query nearest neighbors for semantic search, RAG, recommendations, or agent memory retrieval.
Find the open PR for the current branch, gather unresolved review comments, and drive a focused comment-resolution workflow with gh-authenticated context.
Use VoltAgent to intercept, validate, and enforce input/output policies in TypeScript agent workflows.
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.
Calls Adobe Firefly
Extract frames or short clips from videos using ffmpeg.
Summarize or transcribe URLs, YouTube/videos, podcasts, articles, transcripts, PDFs, and local files.
Use when testing, fixing, or extending the OpenClaw Control UI GUI with Vitest + Playwright end-to-end checks, mocked Gateway WebSocket flows, mocked dashboard runs, screenshots/videos, or agent-verifiable browser proof.
Obra superpowers agent skills.
See, Understand, Act on video and audio. See- ingest from local files, URLs, RTSP/live feeds, or live record desktop; return realtime context and playable stream links. Understand- extract frames, build visual/semantic/temporal indexes, and search moments with timestamps and auto-clips. Act- transcode and normalize (codec, fps, resolution, aspect ratio), perform timeline edits (subtitles, text/image overlays, branding, audio overlays, dubbing, translation), generate media assets (image, audio...
End-to-end marketing campaign planning and execution. Covers audience research, positioning, campaign angle definition, landing page copy, email sequences, social posts, ad copy, short-form video scripts, and content calendars. Use as the orchestration layer for multi-channel product launches. Use when planning or executing a multi-channel product launch, or producing landing page, email, social, or ad copy.