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Papr Rss

Community
l0ng-ai
papr-rss

Read, search and triage the user's Papr RSS subscriptions from the shell via the `papr` CLI. Use when the user wants to catch up on their feeds, find or summarize articles they've subscribed to, check what's unread, star/save articles, subscribe to a new feed, or pull new posts. Triggers on: "what's in my feeds", "any unread RSS", "summarize this feed", "search my subscriptions for X", "mark these read", "subscribe to <url>", "refresh my feeds".

Overview

Publisherl0ng-ai
Repositorypapr
Skill namepapr-rss
Stars
542
Forks
59
Bundled files
Instructions only
LicenseMIT
Links
  • 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.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by l0ng-ai on GitHub. Read the source before you install it.

Installation

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

1

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.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/l0ng-ai/papr/tree/main/skills/papr-rss
  4. 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.
2

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/l0ng-ai/papr.git /tmp/papr
mkdir -p .claude/skills
cp -r /tmp/papr/skills/papr-rss .claude/skills/papr-rss
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Papr Rss 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 Papr Rss 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 Papr Rss 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.

Papr RSS CLI

papr is a token-efficient, agent-facing CLI over the user's local Papr RSS database. It emits TOON on stdout (≈40% cheaper than JSON, via the official toon-format encoder), keeps diagnostics on stderr, and returns structured errors with exit codes (0 success/no-op, 1 runtime, 2 usage). Reads are token-minimal by default; long article bodies are truncated with a --full escape hatch.

Run papr with no arguments first — it prints the unread dashboard plus the most useful next commands, so you can orient without reading a manual.

Core flow

sh
papr                        # home: unread/starred counts + recent unread + next steps
papr feeds                  # subscriptions grouped by folder, with unread counts
papr list --feed <id>       # articles in a feed (defaults to unread; --all for read too)
papr list --starred         # smart views: --starred / --later / --tag <id> / --folder <id>
papr list --fields author,url   # add columns: author,url,snippet,type,feed_id,published
papr read <id> [<id>...]    # plain-text body, truncated; pass several ids to batch
papr read --feed <id> --unread --limit 5   # read a feed's latest unread in one call
papr read <id> --full       # the complete body when truncation hid something
papr search "<query>"       # FTS5 full-text search across every article

Triage & subscriptions

sh
papr mark read <id> [<id>...]      # state: read|unread|star|unstar|later|unlater (idempotent)
papr mark-all --feed <id>          # mark a whole view read
papr subscribe <url>               # auto-discovers the feed, inserts it, fetches it
papr refresh [--feed <id>]         # fetch new articles over the network (RSS + newsletters)
papr extract <id>                  # fetch & store the cleaned full text of an article

Management (mirrors the desktop app)

sh
papr tags | papr tag add <tag_id> <article_id> | papr tag create "<name>"
papr folders | papr folder create "<name>" | papr feed move <id> --folder <id>
papr rules | papr rule create "<name>" "<keywords>" --action star
papr highlights [--article <id>] | papr highlight create <article_id> "<quote>"
papr newsletters | papr newsletter add --title .. --host .. --user .. --password ..
papr opml import <file> | papr opml export
papr settings get <key> | papr settings set <key> <value>
papr stats

Sync

sh
papr sync status | papr sync run   # reconcile read/starred + subscriptions with FreshRSS/Miniflux

There are no summarize/ask/digest/translate commands: you are the language model, so read the text with papr read <id> (or gather candidates with papr search) and summarize, answer or translate it yourself — no second AI provider is involved.

Destructive verbs require --yes; without it they fail with exit 2 and tell you the exact command to re-run:

sh
papr unsubscribe <id> --yes            # delete a feed and its articles
papr admin cleanup <days> --yes        # also: admin vacuum / admin reset
papr folder delete <id> --yes          # likewise tag/rule/highlight delete, newsletter remove

Notes

  • Every command takes --db <path> (or the PAPR_DB env var) if the database is not in the desktop app's default location.
  • Output is data, not prose. Each list states a definitive total (count: N of M unread) so you never need to paginate just to learn the size.
  • If the answer is "nothing", the command says so explicitly — a zero is an answer, not a reason to retry with different flags.
  • Prefer the ambient SessionStart hook (papr setup) so the unread dashboard is already in context at the start of a conversation; this skill is the lower-overhead alternative that loads only when a feed task comes up.

Frequently asked questions

What does the Papr Rss AI skill do?

Read, search and triage the user's Papr RSS subscriptions from the shell via the `papr` CLI. Use when the user wants to catch up on their feeds, find or summarize articles they've subscribed to, check what's unread, star/save articles, subscribe to a new feed, or pull new posts. Triggers on: "what's in my feeds", "any unread RSS", "summarize this feed", "search my subscriptions for X", "mark these read", "subscribe to <url>", "refresh my feeds".

Why use Papr Rss on TypingMind?

Because you install it once and use it with any model. Papr Rss 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 Papr Rss in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/l0ng-ai/papr/tree/main/skills/papr-rss. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Papr Rss?

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 Papr Rss?

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

Is the Papr Rss AI skill free?

Yes. It is published on GitHub by l0ng-ai 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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