Extract clean web content via Jina AI — without exposing your server IP.
Works with
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionjina-readerExecute the skills CLI command in your project's root directory to begin installation:
Fetches jina-reader from sundial-org/awesome-openclaw-skills and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate jina-reader. Access via /jina-reader in your agent's command palette.
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 environment. Always review source, verify the publisher, and test in isolation before production.
Submit your Claude Code skill and start earning
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
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
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
2
total installs
2
this week
554
GitHub stars
0
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Run in your terminal
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this week
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Extract clean web content via Jina AI — without exposing your server IP.
{baseDir}/scripts/reader.sh "https://example.com/article"
{baseDir}/scripts/reader.sh --mode search "latest AI news 2025"
{baseDir}/scripts/reader.sh --mode ground "OpenAI was founded in 2015"
| Flag | Description | Default |
|---|---|---|
--mode |
read, search, ground |
read |
--selector |
CSS selector to extract specific region | — |
--wait |
CSS selector to wait for before extraction | — |
--remove |
CSS selectors to remove (comma-separated) | — |
--proxy |
Country code for geo-proxy (br, us, etc.) |
— |
--nocache |
Force fresh content (skip cache) | off |
--format |
markdown, html, text, screenshot |
markdown |
--json |
Raw JSON output | off |
# Extract article content
{baseDir}/scripts/reader.sh "https://blog.example.com/post"
# Extract specific section via CSS selector
{baseDir}/scripts/reader.sh --selector "article.main" "https://example.com"
# Remove nav and ads before extraction
{baseDir}/scripts/reader.sh --remove "nav,footer,.ads" "https://example.com"
# Search with JSON output
{baseDir}/scripts/reader.sh --mode search --json "AI enterprise trends"
# Read via Brazil proxy
{baseDir}/scripts/reader.sh --proxy br "https://example.com.br"
# Fact-check a claim
{baseDir}/scripts/reader.sh --mode ground "Tesla is the most valuable car company"
export JINA_API_KEY="jina_..."
Free tier: 10M tokens (no signup needed). Get key at https://jina.ai/reader/
Make data-driven prioritization decisions faster
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
Prerequisites
Time Estimate
30-60 minutes to see productivity improvements
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ 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.
mattpocock/skills
parcadei/continuous-claude-v3
cursor/plugins
ailabs-393/ai-labs-claude-skills
pproenca/dot-skills
mattpocock/skills
I recommend jina-reader for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
We added jina-reader from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
Solid pick for teams standardizing on skills: jina-reader is focused, and the summary matches what you get after install.
Useful defaults in jina-reader — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
jina-reader fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
jina-reader is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
Registry listing for jina-reader matched our evaluation — installs cleanly and behaves as described in the markdown.
jina-reader has been reliable in day-to-day use. Documentation quality is above average for community skills.
jina-reader fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
Useful defaults in jina-reader — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
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