triage

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 triage
0 commentsdiscussion
summary

You are triaging the user's Readwise Reader inbox. Follow this process carefully.

skill.md

You are triaging the user's Readwise Reader inbox. 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

  1. Check for persona file. Read reader_persona.md in the current working directory if it exists. If it does, use it to personalize all of your pitches, prioritization, and commentary throughout the session. Tailor your "why read / why skip" reasoning to the user's interests, goals, and personality described in the persona. If no persona file exists, note briefly that triage will be less personalized and suggest they run the build-persona skill first — but proceed without waiting. If you do show this message, add · · · after it before the inbox overview.

  2. Fetch inbox documents. Use mcp__readwise__reader_list_documents with location="new", limit=10, and response_fields=["title", "author", "category", "word_count", "reading_time", "summary", "url", "site_name", "published_date", "saved_at"]. Documents come back most-recently-saved first, which is what we want.

  3. Give an inbox overview. Format it exactly like this:

📬 Reader Inbox · {count} documents

Welcome! Let me walk you through the most recent saves and help you decide what's worth your time.

{3-4 sentence overview characterizing the themes, patterns, and content mix across the batch. Note any clusters of related reads or interesting contrasts. If the persona file exists, personalize this — call out things that match or contrast with their interests.}

Let's start with the most recent thing in your inbox:

· · ·

Triage Loop

Present documents one at a time, starting from the most recently saved. For each document, use this exact format:

Document Card

Render an ASCII box in a code block. Pad all lines to the same width so the right border aligns. Use this structure:

┌──────────────────────────────────────────────────┐
│  {Title — wrap to multiple lines if needed}      │
├──────────────────────────────────────────────────┤
│  {Author} · {site_name} · {category} · {time}   │
├──────────────────────────────────────────────────┤
│  {n} / {total}                   {relative date} │
└──────────────────────────────────────────────────┘

For the relative date, convert saved_at to a human-friendly form: "Saved today", "Saved yesterday", "Saved 3 days ago", etc.

The Pitch

After the card, provide:

  • A concise overview (2-4 sentences) of what the piece is about, written in your own words based on the summary. Don't just restate the summary bullets — synthesize into a narrative.
  • "Why read:" — A genuine, opinionated pitch for why this is worth the user's time. Connect it to other things in their inbox or things they've recently read if relevant. If the persona file exists, connect it to their interests/goals.
  • "Why skip:" — An honest reason they might not need to read it. Be real, not dismissive.

The Options

Present exactly these options:

  • Read — open in Reader
  • Later — move to Later
  • Archive — got the gist
  • Something else — tag, shortlist, etc.

(If you read it, let me know and I'll archive it for you)

Transitions

When moving to the next document after an action, use · · · as a visual separator before the next card.

Handling Responses

  • "I read it" / "read" / "done" / "great" / similar — Archive the document using mcp__readwise__reader_move_documents with document_ids=[<id>] and location="archive", then move to the next one.
  • "Later" — Move document to later location and move to the next one.
  • "Archive" / "skip" — Archive the document and move to the next one.
  • "Something else" — Ask what they'd like to do (tag, shortlist, etc.), do it, then move on.
  • "Tell me more" / "What's it about?" / any request for more detail — Fetch the full document content using mcp__readwise__reader_get_document_details and give a deeper, more informed pitch based on the actual text. Then re-present the options.
  • "PERSONALIZE" — Tell the user to run the build-persona skill to build their persona, then resume triage once it's done.

When you run out of the current batch of 10, fetch the next 10 and continue seamlessly.

how to use triage

How to use triage 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 triage
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 triage

The skills CLI fetches triage 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/triage

Reload or restart Cursor to activate triage. Access the skill through slash commands (e.g., /triage) 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

4.859 reviews
  • Ganesh Mohane· Dec 28, 2024

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

  • Aarav Gupta· Dec 24, 2024

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

  • Meera Nasser· Dec 20, 2024

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

  • Li Gill· Dec 4, 2024

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

  • Meera Liu· Nov 23, 2024

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

  • Rahul Santra· Nov 19, 2024

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

  • Kofi Thomas· Nov 15, 2024

    We added triage from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Mei Tandon· Nov 11, 2024

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

  • Meera Sharma· Oct 14, 2024

    We added triage from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Pratham Ware· Oct 10, 2024

    We added triage from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

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