feed-catchup

readwiseio/readwise-skills · updated Apr 8, 2026

MDX-style export adds YAML metadata + attribution linking explainx.ai and this canonical listing URL.

$npx skills add https://github.com/readwiseio/readwise-skills --skill feed-catchup
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summary

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

skill.md

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"}):

# Title Source Time Why
1 Title site_name reading_time One-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.

# Title Source Time Summary
1 Title site_name reading_time Brief 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.

how to use feed-catchup

How to use feed-catchup on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your development machine
  • Node.js version 16.0+ with npm package manager (verify with node --version)
  • Active project directory or workspace where you want to add feed-catchup
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/readwiseio/readwise-skills --skill feed-catchup

The skills CLI fetches feed-catchup from GitHub repository readwiseio/readwise-skills and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/feed-catchup

Reload or restart Cursor to activate feed-catchup. Access the skill through slash commands (e.g., /feed-catchup) or your agent's skill management interface.

Security & Verification Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

List & Monetize Your Skill

Submit your Claude Code skill and start earning

GET_STARTED →

Use Cases

User Story & Requirements Generation

Create detailed user stories, acceptance criteria, and feature specs

Example

Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios

Reduce spec writing time by 50%, ensure comprehensive coverage

Competitive Analysis

Research competitors, compare features, identify gaps

Example

Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities

Complete competitive research in 2 hours instead of 2 days

Roadmap Prioritization

Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs

Example

Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale

Make data-driven prioritization decisions faster

Stakeholder Communication

Draft PRDs, status updates, and stakeholder presentations

Example

Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement

Save 3-5 hours/week on communication overhead

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client
  • Access to product documentation and roadmap tools (Jira, Notion, etc.)
  • Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
  • Stakeholder contact information and communication channels

Time Estimate

30-60 minutes to see productivity improvements

Installation Steps

  1. 1.Install product management skill
  2. 2.Start with user story generation for known feature
  3. 3.Progress to competitive analysis: research 2-3 competitors
  4. 4.Use for roadmap prioritization: apply RICE/ICE scoring
  5. 5.Draft stakeholder communications and refine based on feedback
  6. 6.Build template library for recurring PM tasks
  7. 7.Share effective prompts with product team

Common Pitfalls

  • Not validating competitive research—verify facts before sharing
  • Accepting user stories without involving engineering team
  • Over-relying on frameworks without qualitative judgment
  • Not customizing outputs to company culture and communication style
  • Skipping stakeholder validation of generated requirements

Best Practices

✓ Do

  • +Validate research and competitive analysis with real data
  • +Collaborate with engineering when generating technical requirements
  • +Customize frameworks and templates to your company context
  • +Use skill for first drafts, refine with stakeholder input
  • +Document successful prompt patterns for PM tasks
  • +Combine AI efficiency with human judgment and intuition

✗ Don't

  • Don't publish competitive analysis without fact-checking
  • Don't finalize user stories without engineering review
  • Don't make prioritization decisions solely on AI scoring
  • Don't skip customer validation of generated requirements
  • Don't ignore company-specific context and culture

💡 Pro Tips

  • Provide context: company goals, constraints, customer feedback
  • Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
  • Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
  • Use skill for 70% generation + 30% customization to company needs

When to Use This

✓ Use When

Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.

✗ Avoid When

Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.

Learning Path

  1. 1Basic: user stories, feature specs, status updates
  2. 2Intermediate: competitive analysis, prioritization frameworks, PRDs
  3. 3Advanced: product strategy, go-to-market planning, OKR setting
  4. 4Expert: product vision, market positioning, business model innovation

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.
general reviews

Ratings

4.438 reviews
  • Aarav Taylor· Dec 28, 2024

    feed-catchup is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Ganesh Mohane· Dec 24, 2024

    feed-catchup fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Zara Sharma· Dec 16, 2024

    I recommend feed-catchup for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Dev Dixit· Nov 19, 2024

    Useful defaults in feed-catchup — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Sakshi Patil· Nov 15, 2024

    Registry listing for feed-catchup matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Yash Thakker· Nov 11, 2024

    feed-catchup has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Min Choi· Nov 7, 2024

    Keeps context tight: feed-catchup is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Tariq Rao· Oct 26, 2024

    feed-catchup is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Lucas Nasser· Oct 10, 2024

    I recommend feed-catchup for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Chaitanya Patil· Oct 6, 2024

    feed-catchup reduced setup friction for our internal harness; good balance of opinion and flexibility.

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