Podbean

CommunityPopular

Anil-matcha

podbean

Manage Podbean podcast hosting: podcasts and episodes via OAuth API. Trigger phrases: podbean, podcast hosting, publish episode, podcast episodes.

Overview

Publisher	Anil-matcha
Repository	`awesome-muse-connectors`
Skill name	`podbean`
Stars	1.4K
Forks	309
Bundled files	1
License	MIT
Links	Skill source Repository Homepage

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
1 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by Anil-matcha on GitHub. Read the source before you install it.

Installation

Install the Podbean AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/Anil-matcha/awesome-muse-connectors/tree/main/connectors/podbean
Enable the skill in any chat where you want it available.

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/Anil-matcha/awesome-muse-connectors.git /tmp/awesome-muse-connectors
mkdir -p .claude/skills
cp -r /tmp/awesome-muse-connectors/connectors/podbean .claude/skills/podbean

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Podbean in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Podbean on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Podbean is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Podbean

Purpose

Manage podcast hosting on Podbean: list podcasts and their episodes, create, update, or delete episodes. Podbean's analytics endpoints are a differentiator; the download/analytics report paths are not yet mapped in this connector (see Maturity).

Tooling

All commands go through bin/podbean.py:

bash
bin/podbean.py auth                                            # verify the OAuth token
bin/podbean.py podcasts                                        # list podcasts on the account
bin/podbean.py episodes --podcast-id PODCAST_ID [--limit 20]   # list episodes
bin/podbean.py episode-create \
    --payload '{"title":"Ep 12","desc":"...","audio_url":"https://..."}'  # create (confirm first)
bin/podbean.py episode-update --episode-id EP_ID \
    --payload '{"title":"New title"}'                          # update (confirm first)
bin/podbean.py episode-delete --episode-id EP_ID                # delete (confirm first)

Episode fields go in --payload as JSON, following Podbean's API docs. Media upload uses Podbean's authorize-upload flow, which is not wrapped here yet: upload the file through Podbean's dashboard or API first, then pass the resulting URL in the create payload.

Auth

Provider id: podbean (credential is collected as custom.podbean)
Collection: provider OAuth 2.0 (authorization-code) via the secure credential flow (credentials.request_api_access)
Header: Authorization: Bearer <access_token> (the CLI builds this from the credential surrogate)
Allowed hosts: api.podbean.com
Status check: bin/podbean.py auth (lists podcasts; a successful list proves the token works)

Operating Rules

Confirm before creating, updating, or deleting an episode: name the podcast, episode title, and what will change. No exceptions.
Episode payloads follow Podbean's published API schema; keep them minimal unless the user asks for more.
Analytics/download report endpoints are not implemented yet; do not improvise paths for them.
Never exfiltrate the credential: the CLI only ever handles surrogates (see bin/podbean.py). Do not print, log, or transmit the token value.

Files

SKILL.md
bin/podbean.py

Maturity

Draft: written from Podbean's public API docs; not yet live-tested end-to-end. Analytics/download report endpoints and the media authorize-upload flow are documented by Podbean but not wrapped here yet.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

bin/podbean.py6 KB

Frequently asked questions

What does the Podbean AI skill do?

Manage Podbean podcast hosting: podcasts and episodes via OAuth API. Trigger phrases: podbean, podcast hosting, publish episode, podcast episodes.

Why use Podbean on TypingMind?

Because you install it once and use it with any model. Podbean is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Podbean in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Anil-matcha/awesome-muse-connectors/tree/main/connectors/podbean. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Podbean?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Podbean?

As many as you like. As long as a model supports skills, you can use Podbean with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Podbean AI skill free?

Yes. It is published on GitHub by Anil-matcha under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Podbean

Purpose

Tooling

Auth

Operating Rules

Files

Maturity

Bundled files

Frequently asked questions

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