@SaitoWu: Highly recommend WorkBuddy users install this podcast info source: https://github.com/hardhackerlabs/podwise-cli… It's super convenient: search any podcast, fetch structured summaries, key insights, Mind Map, and feed directly into Work…

✨ Strongly recommend WorkBuddy users install this podcast info source: https://t.co/RlhjXHdvMl It’s super smooth: search any podcast, pull structured summaries, key insights, mind maps, directly feed into WorkBuddy for writing articles, doing reviews, generating content plans… efficiency skyrockets! https://t.co/29tbjk3I70 — # hardhackerlabs/podwise-cli Source: https://github.com/hardhackerlabs/podwise-cli # podwise-cli podwise CLI client for podwise.ai (https://podwise.ai) — turn any podcast episode into AI-powered insights, designed for use in AI agents and skills workflows. Podwise transforms hours of podcasts into transcripts, summaries, outlines, Q&A, and mind maps. This CLI is purpose-built as a tool for AI agents — letting LLMs, skills runtimes, and automation pipelines fetch structured podcast insights without a browser or human in the loop. - 🤖 Looking for ready-to-use agent skills? Jump to Agent Skills → - 🔌 Looking for mcp server? Jump to MCP Server → ## Installation #### Homebrew (macOS) bash brew install hardhackerlabs/podwise-tap/podwise #### Automatic Script Run the following command to install the latest version of podwise: bash curl -sL https://raw.githubusercontent.com/hardhackerlabs/podwise-cli/main/install.sh | sh #### Manual (Binary) 1. Download the latest binary for your OS and architecture from GitHub Releases (https://github.com/hardhackerlabs/podwise-cli/releases). 2. Unpack the archive (e.g., tar -xzf podwise_linux_amd64.tar.gz). 3. Move the podwise binary to a directory in your PATH, for example: bash mv podwise /usr/local/bin/ 4. Make sure it’s executable: chmod +x /usr/local/bin/podwise. #### From Source If you have Go installed, you can build and install the binary directly from the source: bash git clone https://github.com/hardhackerlabs/podwise-cli.git cd podwise-cli go build -o podwise . # Move the binary to a directory in your PATH, e.g., mv podwise /usr/local/bin/ ## Configuration Authorize the CLI in your browser and let it save the API key automatically: bash # Open the browser authorization flow podwise auth # Verify connection podwise config show If you already have an API key, you can still set it manually: bash podwise config set api_key your-sk-xxxx The configuration is stored at ~/.config/podwise/config.toml. ## Usage #### Trending Episodes bash podwise popular #### Ask AI bash # Ask a question answered from podcast transcripts podwise ask "the future of AI Agents" #### Search bash # Search episodes by title keywords podwise search episode "machine learning" --limit 20 # Search podcasts by name podwise search podcast "Lex Fridman" #### Process an Episode bash # Podwise episode URL (Recommended) podwise process https://podwise.ai/dashboard/episodes/7360326 # 小宇宙 episode URL podwise process https://www.xiaoyuzhoufm.com/episode/abc123 # Youtube video URL podwise process https://www.youtube.com/watch?v=d0-Gn_Bxf8s # local file podwise process ./episode.mp3 #### Get Episode Results bash # Get summary podwise get summary https://podwise.ai/dashboard/episodes/7360326 # Get transcript podwise get transcript For more details on all available commands and flags, run: bash podwise --help ## Agent Skills > Prerequisites: Before installing skills, make sure you have completed the Installation and Configuration steps above — the podwise CLI must be installed and your api_key must be set. #### Available Workflows The Podwise skill routes your intent to the right workflow automatically: | Workflow | What it does | | ——————— | ––––––––––––––––––––––––––––––––––– | | catch-up | Catch up on missed episodes from podcasts you follow | | weekly-recap | Generate a weekly listening recap with highlights | | episode-notes | Export episode summaries and highlights to Notion, Obsidian, or Logseq | | topic-research | Research a topic across multiple podcast episodes | | episode-debate | Challenge and stress-test ideas from an episode | | language-learning | Generate Anki flashcards from a transcript | | discover | Get personalised podcast recommendations based on your taste | | refine-taste | Build your listener profile for personalised outputs | #### How It Works When you ask the agent something related to podcasts, it: 1. Loads Podwise CLI reference docs 2. Matches your intent to the right workflow (if applicable) 3. Loads and executes the workflow steps, or runs the CLI command directly #### Installation bash npx skills add hardhackerlabs/podwise-cli You can also build your own skills on top of the podwise CLI to create custom workflows that fit your needs. ## MCP Server Podwise exposes all its capabilities as an MCP (Model Context Protocol) (https://modelcontextprotocol.io) server, allowing AI assistants (Gemini CLI, Claude Desktop, Cursor, etc.) to search episodes, process media, and retrieve AI-generated content directly as tools. Start the MCP server (communicates over stdin/stdout): bash podwise mcp The server exposes the following tools: | Tool | Description | | —————— | —————————————————————————— | | search_episode | Search for podcast episodes by title keywords | | search_podcast | Search for podcasts by name | | popular | List current trending/popular podcast episodes | | process | Submit a YouTube / 小宇宙 / Podwise URL or local file for AI processing | | get_transcript | Fetch the full transcript (text / SRT / VTT) | | get_summary | Fetch the AI-generated summary and key takeaways | | get_qa | Fetch AI-extracted Q&A pairs | | get_chapters | Fetch the chapter breakdown with timestamps | | get_mindmap | Fetch the AI-generated mind map | | get_highlights | Fetch notable highlights with timestamps | | get_keywords | Fetch topic keywords with descriptions | | ask | Ask the AI a question answered from podcast transcripts | | drill | List recent episodes for a specific podcast by its Podwise URL | | follow | Follow a podcast by its Podwise URL (idempotent) | | unfollow | Unfollow a podcast by its Podwise URL (idempotent) | | list_episodes | List recent episodes from podcasts you follow, filterable by date or day range | | list_podcasts | List followed podcasts with new episodes, filterable by date or day range | | history_read | List episodes you have read, sorted by most recent first | | history_listened | List episodes you have listened, sorted by most recent first | #### Installation 1. Make sure podwise is installed and configured (see Installation and Configuration). 2. Add the following to your settings file: json { "mcpServers": { "podwise": { "command": "podwise", "args": ["mcp"] } } }