alicloud-ai-text-document-mind▌
cinience/alicloud-skills · updated Apr 8, 2026
MDX-style export adds YAML metadata + attribution linking explainx.ai and this canonical listing URL.
Category: provider
Category: provider
Document Mind (DocMind) — Node.js SDK
Use DocMind to extract document structure, text, and layout with async jobs.
Prerequisites
- Install SDKs:
npm install @alicloud/docmind-api20220711 @alicloud/tea-util @alicloud/credentials
- Provide credentials via standard Alibaba Cloud env vars:
ALICLOUD_ACCESS_KEY_IDALICLOUD_ACCESS_KEY_SECRETALICLOUD_REGION_ID(optional default; if unset, choose the most reasonable region for the task or ask the user)
Quickstart (submit + poll)
const Client = require('@alicloud/docmind-api20220711');
const Credential = require('@alicloud/credentials');
const Util = require('@alicloud/tea-util');
const cred = new Credential.default();
const regionId = process.env.ALICLOUD_REGION_ID || 'cn-hangzhou'; // Example default; choose/ask if unset.
const client = new Client.default({
endpoint: `docmind-api.${regionId}.aliyuncs.com`,
accessKeyId: cred.credential.accessKeyId,
accessKeySecret: cred.credential.accessKeySecret,
type: 'access_key',
regionId,
});
async function submitByUrl(fileUrl, fileName) {
const req = new Client.SubmitDocStructureJobRequest();
req.fileUrl = fileUrl;
req.fileName = fileName;
const resp = await client.submitDocStructureJob(req);
return resp.body.data.id;
}
async function pollResult(jobId) {
const req = new Client.GetDocStructureResultRequest();
req.id = jobId;
const resp = await client.getDocStructureResult(req);
return resp.body;
}
(async () => {
const jobId = await submitByUrl('https://example.com/example.pdf', 'example.pdf');
console.log('jobId:', jobId);
// Poll every 10s until completed.
for (;;) {
const result = await pollResult(jobId);
if (result.completed) {
console.log(result.status, result.data || result.message);
break;
}
await new Promise((r) => setTimeout(r, 10000));
}
})();
Script quickstart
DOCMIND_FILE_URL="https://example.com/example.pdf" \\
node skills/ai/text/alicloud-ai-text-document-mind/scripts/quickstart.js
Environment variables:
DOCMIND_FILE_URLDOCMIND_FILE_NAME(optional)DOCMIND_POLL_INTERVAL_MS(optional, default 10000)DOCMIND_MAX_POLLS(optional, default 120)
Local file upload
const fs = require('fs');
const advanceReq = new Client.SubmitDocStructureJobAdvanceRequest();
advanceReq.fileUrlObject = fs.createReadStream('./example.pdf');
advanceReq.fileName = 'example.pdf';
const runtime = new Util.RuntimeOptions({});
const resp = await client.submitDocStructureJobAdvance(advanceReq, runtime);
Notes for Claude Code/Codex
- DocMind is async: submit a job, then poll until
completed=true. - Poll every ~10s; max processing window is 120 minutes.
- Keep files publicly accessible when using URL submission.
Error handling
UrlNotLegal: URL not publicly accessible or malformed.DocProcessing: job still running; keep polling.Fail: checkmessageand error code for root cause.
Validation
mkdir -p output/alicloud-ai-text-document-mind
for f in skills/ai/text/alicloud-ai-text-document-mind/scripts/*.py; do
python3 -m py_compile "$f"
done
echo "py_compile_ok" > output/alicloud-ai-text-document-mind/validate.txt
Pass criteria: command exits 0 and output/alicloud-ai-text-document-mind/validate.txt is generated.
Output And Evidence
- Save artifacts, command outputs, and API response summaries under
output/alicloud-ai-text-document-mind/. - Include key parameters (region/resource id/time range) in evidence files for reproducibility.
Workflow
- Confirm user intent, region, identifiers, and whether the operation is read-only or mutating.
- Run one minimal read-only query first to verify connectivity and permissions.
- Execute the target operation with explicit parameters and bounded scope.
- Verify results and save output/evidence files.
References
-
DocMind Node.js SDK:
@alicloud/docmind-api20220711 -
Source list:
references/sources.md
How to use alicloud-ai-text-document-mind on Cursor
AI-first code editor with Composer
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 alicloud-ai-text-document-mind
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches alicloud-ai-text-document-mind from GitHub repository cinience/alicloud-skills and configures it for Cursor.
Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Reload or restart Cursor to activate alicloud-ai-text-document-mind. Access the skill through slash commands (e.g., /alicloud-ai-text-document-mind) 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
Use Cases▌
Task Automation & Efficiency
Automate repetitive workflows and reduce manual effort
Example
Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Knowledge Enhancement
Learn new skills, understand complex topics, get expert guidance
Example
Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Quality Improvement
Enhance output quality through reviews, suggestions, and refinements
Example
Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
Implementation Guide▌
Prerequisites
- ›Claude Desktop or compatible AI client with skill support
- ›Clear understanding of task or problem to solve
- ›Willingness to iterate and refine outputs
Time Estimate
15-45 minutes depending on use case complexity
Installation Steps
- 1.Install skill using provided installation command
- 2.Test with simple use case relevant to your work
- 3.Evaluate output quality and relevance
- 4.Iterate on prompts to improve results
- 5.Integrate into regular workflow if valuable
Common Pitfalls
- ⚠Expecting perfect results without iteration
- ⚠Not providing enough context in prompts
- ⚠Using skill for tasks outside its intended scope
- ⚠Accepting outputs without review and validation
Best Practices▌
✓ Do
- +Start with clear, specific prompts
- +Provide relevant context and constraints
- +Review and refine all outputs before using
- +Iterate to improve output quality
- +Document successful prompt patterns
✗ Don't
- −Don't use without understanding skill limitations
- −Don't skip validation of outputs
- −Don't share sensitive information in prompts
- −Don't expect skill to replace human judgment
💡 Pro Tips
- ★Be specific about desired format and style
- ★Ask for multiple options to choose from
- ★Request explanations to understand reasoning
- ★Combine AI efficiency with human expertise
When to Use This▌
✓ Use When
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid When
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
Learning Path▌
- 1Familiarize yourself with skill capabilities and limitations
- 2Start with low-risk, non-critical tasks
- 3Progress to more complex and valuable use cases
- 4Build expertise through regular use and experimentation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.6★★★★★45 reviews- ★★★★★Diego Smith· Dec 28, 2024
alicloud-ai-text-document-mind is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Charlotte Desai· Dec 28, 2024
Useful defaults in alicloud-ai-text-document-mind — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Diego Johnson· Dec 16, 2024
alicloud-ai-text-document-mind has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Mateo Sharma· Dec 4, 2024
alicloud-ai-text-document-mind fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Charlotte Gupta· Nov 23, 2024
Registry listing for alicloud-ai-text-document-mind matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Carlos Smith· Nov 19, 2024
Solid pick for teams standardizing on skills: alicloud-ai-text-document-mind is focused, and the summary matches what you get after install.
- ★★★★★Kiara Park· Nov 7, 2024
Keeps context tight: alicloud-ai-text-document-mind is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Sakshi Patil· Nov 3, 2024
Registry listing for alicloud-ai-text-document-mind matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Diego Kim· Oct 26, 2024
alicloud-ai-text-document-mind is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Chaitanya Patil· Oct 22, 2024
alicloud-ai-text-document-mind reduced setup friction for our internal harness; good balance of opinion and flexibility.
showing 1-10 of 45