AssemblyAI LeMUR 摘要生成器 是做什么的？
使用 AssemblyAI 的 LeMUR（基于大语言模型的音频理解）API 对音频内容进行摘要。该技能将 /v2/transcript 端点与 /lemur/v3/generate/summary 端点串联起来，实现上下文感知的音频智能处理。
安装
来自上游的前提条件与注意事项：
- Python SDK
基本使用或入门说明：
-
概述
-
使用 AI 编码代理进行构建
-
模型
使用 AssemblyAI 的 LeMUR API 自动生成音频内容的文字摘要。
AssemblyAI LeMUR 摘要生成器是一款专为 AI 编码代理（如 Claude Code、Cursor 或 Codex）设计的技能，能够自动将音频或视频文件转化为简洁的文字摘要。该技能通过串联 AssemblyAI 的 `/v2/transcript` 转录端点与 `/lemur/v3/generate/summary` 摘要端点，实现端到端的“音频→文本→摘要”流水线，无需手动处理中间步骤。它适用于会议记录、播客内容提炼、客户服务录音分析等场景，支持 Python SDK，并兼容 AssemblyAI 平台的所有主流模型。开发人员只需提供音频文件 URL，该技能便会自动完成转录和摘要生成，大幅降低开发成本。该技能在 Agent Skill Exchange 上有收录，便于快速集成到现有工作流中。
npx skills add https://github.com/agentskillexchange/skills/tree/main/skills/assemblyai-lemur-summarizer-agent使用 AssemblyAI 的 LeMUR（基于大语言模型的音频理解）API 对音频内容进行摘要。该技能将 /v2/transcript 端点与 /lemur/v3/generate/summary 端点串联起来，实现上下文感知的音频智能处理。
来自上游的前提条件与注意事项：
基本使用或入门说明：
概述
使用 AI 编码代理进行构建
模型
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.