Provides a streamlined interface for viewing unread RSS feed items from Readwise Reader.

Install

mkdir -p .claude/skills/feed-catchup && curl -L -o skill.zip "https://agentskills.codes/api/skills/download/17971" && unzip -o skill.zip -d .claude/skills/feed-catchup && rm skill.zip

Installs to .claude/skills/feed-catchup

Activation

This is the description your AI agent reads to decide when to run this skill — the better it matches your request, the more reliably it fires.

Catch up on your RSS feed — highlights up top, full browse below
64 charsno explicit “when” trigger
Intermediate

Key capabilities

  • Fetch unread documents from Readwise Reader.
  • Filter documents to show only unseen items.
  • Select top 5 most relevant documents based on persona or signal quality.
  • Present documents in batches for browsing.
  • Move documents to different locations (Later, Inbox, Shortlist, Archive).

How it works

The skill fetches unread documents from Readwise Reader, filters them to unseen items, selects top picks, and presents them in batches for user interaction.

Inputs & outputs

You give it
A request to catch up on the RSS feed.
You get back
A summary of top picks, options to browse all unseen items, and actions to manage documents.

When to use feed-catchup

  • Catch up on RSS feed
  • Browse unread articles
  • Filter feed by category
  • View document summaries

About this skill

You are helping the user catch up on their Readwise Reader RSS feed. Follow this process carefully.

Readwise Access

Check if Readwise MCP tools are available (e.g. mcp__readwise__reader_list_documents). If they are, use them throughout. If not, use the equivalent readwise CLI commands instead (e.g. readwise list, readwise read <id>, readwise move <id> <location>). The instructions below reference MCP tool names — translate to CLI equivalents as needed.

Setup

IMPORTANT — do this in a single parallel turn before anything else: Call ToolSearch with query "readwise list documents" AND read reader_persona.md at the same time. Both must happen in the same message as parallel tool calls. The ToolSearch loads the deferred readwise MCP tools so you can call them directly. Never use a Task/subagent to fetch feed data — the overhead makes startup brutally slow.

  1. Check for persona file. (Done in parallel above.) Use it throughout the session to personalize commentary and picks. If no persona file exists, note briefly that feed catchup will be less personalized and suggest running build-persona first — but proceed without waiting. If you show this message, add · · · after it.

  2. Fetch feed documents. Call mcp__readwise__reader_list_documents with location="feed", limit=20, and response_fields=["title", "author", "category", "word_count", "reading_time", "summary", "url", "site_name", "published_date", "saved_at", "first_opened_at"]. Documents come back most-recently-saved first. Filter to items where first_opened_at is null (unseen). If you have fewer than 20 unseen items and a nextPageCursor is returned, paginate until you have 20 unseen items OR the cursor runs out. Hold all unseen items in memory. (Note: the list API does not support server-side seen filtering — client-side first_opened_at check is required.)

  3. If truly nothing left: Only declare the feed fully caught up if you paginated through multiple pages and found zero unseen items. In that case, say so briefly and end.

  4. Pick the top 5. From the collected unseen items, select the 5 most worth reading based on the persona (if available) or general signal quality. Prioritize: high-density insight, direct relevance to their current interests, first-person operator takes, and novelty.

Opening Format

Render the overview exactly like this:

📡 Reader Feed

{1-2 sentences explaining what you looked at and what stood out — e.g. "Scanned the last 20 unseen items. AI and software architecture dominate, with a few standouts worth pulling."}

Today's picks (spanning {human-readable time range, e.g. "the last 8 hours" or "Feb 24–26"}):

#TitleSourceTimeWhy
1Titlesite_namereading_timeOne-line reason this made the cut
2............

{1-2 sentences of commentary on the picks as a set — what the pattern is, or why these five in particular.}

· · ·

Want to act on any of these, or browse everything?

  • Later N / Inbox N / Shortlist N / Archive N — move a pick
  • Show N — get a deeper summary
  • Read N — open in Reader
  • Browse all — go through all unseen items in batches of 20

Browse Loop

If the user says "browse all" (or similar), enter the batch-by-batch loop. Present unseen items 20 at a time:

The Table

Before the table, add a single line with the time range covered by the batch, e.g. "Feb 26, 3:00–11:00 PM" or "last 4 hours" — derived from the saved_at values of the items in that batch.

#TitleSourceTimeSummary
1Titlesite_namereading_timeBrief summary from metadata — one line, truncated if needed
2............

After the table, give a brief commentary (1-2 sentences) on the batch — what stands out relative to their interests.

Options

  • Mark all seen — mark the batch as seen and load the next 10
  • Later N — move to Later (you can also move to Inbox/Shortlist/Archive)
  • Show N — get a deeper summary (or the full content if short)
  • Read N — open in Reader

(You can act on multiple items at once, e.g. "later 2, 5, 8")

Handling Responses

  • "Mark all seen" / "next" / "seen" — Call mcp__readwise__reader_bulk_edit_document_metadata with documents set to [{document_id: <id>, seen: true}, ...] for every document in the current batch. This is a single call, not one per document. Do not move or archive them. Then display the next batch of 20.
  • "Later N" — Move that document to later location. Confirm briefly, then continue.
  • "Later N, N, N" — Move multiple documents to later. Confirm briefly.
  • "Inbox N" / "Shortlist N" / "Archive N" — Move to the specified location (new, shortlist, or archive). Confirm briefly.
  • "Show N" — Fetch full content using mcp__readwise__reader_get_document_details. If the document is 3 mins or under, show the full content verbatim — no summary. If over 3 mins, give a richer summary with why-read/why-skip reasoning. Then re-present the options.
  • "Read N" — Provide the Reader link (https://read.readwise.io/read/{id}) so they can open it directly.
  • "Stop" / "done" — End the session with a brief summary of what was processed (how many seen, how many pulled).

Transitions

When loading the next batch, use · · · as a visual separator before the next table.

When not to use it

  • When the user does not want to catch up on their RSS feed.
  • When the user wants to fetch feed data using a Task/subagent.
  • When the user wants to filter documents server-side by `seen` status.

Limitations

  • The skill relies on Readwise Reader.
  • The list API does not support server-side `seen` filtering.
  • The skill uses client-side `first_opened_at` check for unseen items.

How it compares

This skill provides a summary-first approach to RSS feed consumption with interactive browsing and document management, unlike simply listing all unread articles.

Compared to similar skills

feed-catchup side by side with the closest alternatives in the catalog.

SkillInstallsUpdatedSafetyDifficulty
feed-catchup (this skill)023dNo flagsIntermediate
braindump75moNo flagsBeginner
daily-digest03moReviewIntermediate
scientific-writing941moReviewIntermediate

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Example prompts that trigger this skill in your AI assistant.

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