Use CloudBase document database Web SDK only for confirmed NoSQL collection work. Query, create, update, and delete document data; if the task mentions PostgreSQL / CloudBase PG / app.rdb(), route to postgresql-development instead.
npx skills add https://github.com/TencentCloudBase/CloudBase-AI-Toolkit --skill cloudbase-document-database-web-sdk
If this environment only installed the current skill, start from the CloudBase main entry and use the published cloudbase/references/... paths for sibling skills.
https://cnb.cool/tencent/cloud/cloudbase/cloudbase-skills/-/git/raw/main/skills/cloudbase/SKILL.mdhttps://cnb.cool/tencent/cloud/cloudbase/cloudbase-skills/-/git/raw/main/skills/cloudbase/references/cloudbase-document-database-web-sdk/SKILL.mdKeep local references/... paths for files that ship with the current skill directory. When this file points to a sibling skill such as auth-tool-cloudbase or web-development, use the standalone fallback URL shown next to that reference.
@cloudbase/js-sdk.app.database(), db.collection(), .where(), .watch(), pagination, aggregation, or geolocation queries in a Web frontend.../auth-web-cloudbase/SKILL.md (standalone fallback: https://cnb.cool/tencent/cloud/cloudbase/cloudbase-skills/-/git/raw/main/skills/cloudbase/references/auth-web-cloudbase/SKILL.md)../web-development/SKILL.md (standalone fallback: https://cnb.cool/tencent/cloud/cloudbase/cloudbase-skills/-/git/raw/main/skills/cloudbase/references/web-development/SKILL.md)../cloudbase-document-database-in-wechat-miniprogram/SKILL.md (standalone fallback: https://cnb.cool/tencent/cloud/cloudbase/cloudbase-skills/-/git/raw/main/skills/cloudbase/references/cloudbase-document-database-in-wechat-miniprogram/SKILL.md)wx.cloud.database().envQuery(action="info", envId=...) and read EnvInfo.RuntimeBackends. If postgresql === true AND the task asks for a new business table to live in PG, switch to the postgresql-development-cloudbase skill for that table: it goes through app.rdb(), uses PG row-level security (CREATE POLICY), and uploads via app.storage.from('<bucket>').upload('<key>', file) against an explicitly-created pgstore bucket.When to write SDK code (use this skill):
db.collection().add(), .get(), .update()index.js already has cloudbase.init())When to use MCP tools instead:
writeNoSqlDatabaseContent, managePermissions, etc.Key distinction: If the user says "使用 JS SDK 执行 XX 操作" (use JS SDK to perform XX operation) or "修改代码" (modify code), write SDK code in the project files. Do not use MCP database write tools for app-level data operations.
wx.cloud.database() or Node SDK patterns in browser code.CUSTOM security rule to take effect immediately after you call managePermissions(updateResourcePermission). The backend caches rule evaluators for 2–5 minutes; first writes after a rule change may silently fail or be rejected with DATABASE_PERMISSION_DENIED even when the expression is correct. Either (a) wait a few minutes and retry the same write before assuming the rule is wrong, or (b) verify the rule is live by reading result.code / result.message on every write and by doing a get() round-trip on the just-written _id; do not treat a resolved promise as success. See security-rules.md → "Propagation And Verification" for the full pattern.db.collection(...).add(...). In the CloudBase Web SDK, the created document ID is exposed at top-level result._id, not result.id, result.data.id, or result.insertedId.READONLY. A validated pattern is a CUSTOM rule that reads role from user_roles by auth.uid and combines it with doc.authorId == auth.uid, while frontend writes can stay on .doc(id).update() / .doc(id).remove().app / db instance.This skill covers browser-side document database usage via @cloudbase/js-sdk.
Use it for:
watch()import cloudbase from "@cloudbase/js-sdk";
const app = cloudbase.init({
env: "your-env-id"
});
const db = app.database();
const _ = db.command;
Important rules:
./crud-operations.md./complex-queries.md./pagination.md./aggregation.md./realtime.md./geolocation.md./security-rules.mdapp.database() and collection references.READONLY can be enough.CUSTOM rule. A validated CMS pattern is get('database.user_roles.' + auth.uid).role == 'admin' || doc.authorId == auth.uid..doc(id).update() / .doc(id).remove()._id == auth.uid. In this CMS pattern, user_roles keyed by uid is acceptable.updated / deleted or surfaced code / message..add(...), the newly created document ID is result._id.result.id, result.data, or other driver-specific fields.const result = await db.collection("todos")
.where({ completed: false })
.get();
const result = await db.collection("posts").add({
title: "New article",
content: "...",
createdAt: new Date()
});
const articleId = result._id;
const result = await db.collection("posts")
.orderBy("createdAt", "desc")
.skip(20)
.limit(10)
.get();
const result = await db.collection("users")
.field({ name: true, email: true, _id: false })
.get();
try {
const result = await db.collection("todos").get();
console.log(result.data);
} catch (error) {
console.error("Database error:", error);
}
When the SDK returns an operation result, check error indicators and translate them into readable application behavior.
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Python library for working with geospatial vector data including shapefiles, GeoJSON, and GeoPackage files. Use when working with geographic data for spatial analysis, geometric operations, coordinate transformations, spatial joins, overlay operations, choropleth mapping, or any task involving reading/writing/analyzing vector geographic data. Supports PostGIS databases, interactive maps, and integration with matplotlib/folium/cartopy. Use for tasks like buffer analysis, spatial joins between datasets, dissolving boundaries, clipping data, calculating areas/distances, reprojecting coordinate systems, creating maps, or converting between spatial file formats.
Fast CLI/Python queries to 20+ bioinformatics databases. Use for quick lookups: gene info, BLAST searches, AlphaFold structures, enrichment analysis. Best for interactive exploration, simple queries. For batch processing or advanced BLAST use biopython; for multi-database Python workflows use bioservices.
Direct REST API access to UniProt. Protein searches, FASTA retrieval, ID mapping, Swiss-Prot/TrEMBL. For Python workflows with multiple databases, prefer bioservices (unified interface to 40+ services). Use this for direct HTTP/REST work or UniProt-specific control.
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BullMQ expert for Redis-backed job queues, background processing, and reliable async execution in Node.js/TypeScript applications. Use when: bullmq, bull queue, redis queue, background job, job queue.
Create custom external web service APIs for Moodle LMS. Use when implementing web services for course management, user tracking, quiz operations, or custom plugin functionality. Covers parameter validation, database operations, error handling, service registration, and Moodle coding standards.
Python library for working with geospatial vector data including shapefiles, GeoJSON, and GeoPackage files. Use when working with geographic data for spatial analysis, geometric operations, coordinate transformations, spatial joins, overlay operations, choropleth mapping, or any task involving reading/writing/analyzing vector geographic data. Supports PostGIS databases, interactive maps, and integration with matplotlib/folium/cartopy. Use for tasks like buffer analysis, spatial joins between datasets, dissolving boundaries, clipping data, calculating areas/distances, reprojecting coordinate systems, creating maps, or converting between spatial file formats.
Take tencentcloudbase/cloudbase-document-database-web-sdk from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.