Search CNKI for papers using keyword(s). Returns result count and structured result list (titles, URLs, authors, journal, date) in a single call.
Works with
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versioncnki-searchExecute the skills CLI command in your project's root directory to begin installation:
Fetches cnki-search from cookjohn/cnki-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 cnki-search. Access via /cnki-search 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.
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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
3
total installs
3
this week
114
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Run in your terminal
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this week
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Search CNKI for papers using keyword(s). Returns result count and structured result list (titles, URLs, authors, journal, date) in a single call.
$ARGUMENTS contains the search keyword(s) in Chinese or English.
Use mcp__chrome-devtools__navigate_page → https://kns.cnki.net/kns8s/search
Replace YOUR_KEYWORDS with actual search terms:
async () => {
const query = "YOUR_KEYWORDS";
// Wait for search input (replaces wait_for)
await new Promise((r, j) => {
let n = 0;
const c = () => { if (document.querySelector('input.search-input')) r(); else if (++n > 30) j('timeout'); else setTimeout(c, 500); };
c();
});
// Check captcha (only if visible on screen, not hidden SDK at top:-1000000)
const outer = document.querySelector('#tcaptcha_transform_dy');
if (outer && outer.getBoundingClientRect().top >= 0) return { error: 'captcha' };
// Fill and submit (verified selectors: input.search-input, input.search-btn)
const input = document.querySelector('input.search-input');
input.value = query;
input.dispatchEvent(new Event('input', { bubbles: true }));
document.querySelector('input.search-btn')?.click();
// Wait for results
await new Promise((r, j) => {
let n = 0;
const c = () => { if (document.body.innerText.includes('条结果')) r(); else if (++n > 30) j('timeout'); else setTimeout(c, 500); };
c();
});
// Check captcha again
const outer2 = document.querySelector('#tcaptcha_transform_dy');
if (outer2 && outer2.getBoundingClientRect().top >= 0) return { error: 'captcha' };
// Extract current page results (merged parse-results)
const rows = document.querySelectorAll('.result-table-list tbody tr');
const checkboxes = document.querySelectorAll('.result-table-list tbody input.cbItem');
const results = Array.from(rows).map((row, i) => {
const titleLink = row.querySelector('td.name a.fz14');
const authors = Array.from(row.querySelectorAll('td.author a.KnowledgeNetLink') || []).map(a => a.innerText?.trim());
const journal = row.querySelector('td.source a')?.innerText?.trim() || '';
const date = row.querySelector('td.date')?.innerText?.trim() || '';
const citations = row.querySelector('td.quote')?.innerText?.trim() || '';
const downloads = row.querySelector('td.download')?.innerText?.trim() || '';
return {
n: i + 1,
title: titleLink?.innerText?.trim() || '',
href: titleLink?.href || '',
exportId: checkboxes[i]?.value || '',
authors: authors.join('; '),
journal,
date,
citations,
downloads
};
});
return {
query,
total: document.querySelector('.pagerTitleCell')?.innerText?.match(/([\d,]+)/)?.[1] || '0',
page: document.querySelector('.countPageMark')?.innerText || '1/1',
results
};
}
Present results as a numbered list:
Searched CNKI for "$ARGUMENTS": found {total} results (page {page}).
1. {title}
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.
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mattpocock/skills
parcadei/continuous-claude-v3
cursor/plugins
ailabs-393/ai-labs-claude-skills
pproenca/dot-skills
I recommend cnki-search for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
Keeps context tight: cnki-search is the kind of skill you can hand to a new teammate without a long onboarding doc.
Registry listing for cnki-search matched our evaluation — installs cleanly and behaves as described in the markdown.
cnki-search is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
Useful defaults in cnki-search — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
cnki-search has been reliable in day-to-day use. Documentation quality is above average for community skills.
cnki-search fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
Solid pick for teams standardizing on skills: cnki-search is focused, and the summary matches what you get after install.
Keeps context tight: cnki-search is the kind of skill you can hand to a new teammate without a long onboarding doc.
cnki-search has been reliable in day-to-day use. Documentation quality is above average for community skills.
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