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YingCore Core Features

📖 Best for: Product managers / business owners / first-time decision makers — people who want to know what problems YingCore can solve

📖 Reading time: 3 minutes

📖 In one sentence: YingCore is the server-side "brain" of YingClaw, unifying identity & permissions, skill marketplace, security & compliance, audit trails, and cross-agent orchestration — so every conversation, every file operation, and every scheduled task in the YingClaw client runs in an orderly way.

ModuleOne-line DefinitionDetailed CapabilitiesTypical Use Cases
Marketing PlansSmart marketing-plan hub: 4 templates x 8 sub-modules for structured generation (brand/product dual-track)One-stop management + one-click AI full plan generation + selection assistant (rewrite/summarize/translate/unify terminology)Draft brand plans, product innovation plans, and event plans - let AI be your plan architect
Workflow
(one of the platform's biggest efficiency boosters)
Set up recurring processes on a schedule - log in daily and the work is already doneVisual canvas (drag-and-drop to assemble flows): chain together "AI call, HTTP request, conditional branch, loop" steps
• 4 trigger modes: Manual / Scheduled cron / One-shot timer / Webhook
• Strong debugging: test run, breakpoint debug, run-diff comparison
Auto-aggregate yesterday's customer inquiries each morning -> email to sales
• Auto-generate last week's marketing data report every Monday
• Form submitted by user -> auto-analyze intent -> route to the right rep
Knowledge Base
(the foundation of AI "understanding your company's business")
A system for organizing industry knowledgeUpload company materials: product manuals, SOPs, training docs, customer contracts, industry reports, etc.
• System auto-slices large documents into small chunks
• 15 parsing methods: general, Q&A, resume, table, paper, PPT, contract, image, audio, etc.
• Multi-dimensional retrieval: in addition to text, tables and images are also searchable
Customer service system: customer asks a question, AI auto-finds the answer in the product manual
• HR system: employee asks about leave / reimbursement policy, AI answers directly
• Sales system: rep asks for product specs or pricing strategy, AI answers in real time
Workspace
(AI Q&A)
Multi-turn AI conversation - ask anythingDefault assistant is ready out of the box; with the knowledge base, AI answers based on company materials
• Answers include "File Citations" - click to see the original source location
• Web search, upload files to participate in conversation, expand thinking process, customize assistant persona
• 15+ pre-built assistant apps: Xiaohongshu monitor, sales leads, complaint analysis, voice cloning, lip-sync, video subtitles, etc.
Ask AI to polish your weekly report
• Analyze trending notes on Xiaohongshu
• Auto-generate subtitles for videos
• Paste a blogger's profile page and let AI analyze it
Model PlazaUnified model view, smart routing, and 5 MCP services that expose platform capabilities to external clients• Model grid + smart routing: 12 cards per page showing vendor / status / price / capabilities / latency, 4 stats cards + keyword / type / status filters; 8 task types (Code / Reasoning / Chat / Creative / Summary / Translation / Agent / Default) with primary model + policy, plus auto (sticky-stable) and smart-auto (dynamic intent) virtual routing entries
• MCP services: 5 independent instances (Knowledge Base /kb, Data Hub /datahub, Document Image /image, Knowledge Graph /graph, LLM-Wiki /wiki) sharing one Key, keys can bind to accounts for per-caller audit
• See the Model Plaza docs for the full guide
Spot red "Blocked" and orange "Cooling" first, route by task to cut cost, wire MCP JSON into Claude Desktop, bind account so audit traces the caller
Cloud WorkspacesMulti-user collaborative cloud file and runtime space• Unified folder structure with fine-grained permission control
• Deep integration with Workflow / Knowledge Base / Model Providers
• Files can be used directly as AI input for conversations or processing
Team asset library: designer puts assets in cloud space, AI calls them on demand
• Multi-project parallel: one workspace per project, files don't interfere
• Audit trail: who changed which file when — at a glance
Market CenterTask breakdown and tracking hub for marketing plans: 7 modules (Plan Workbench / Plan / Task Tree / Department Dispatch / Metric Dictionary / Org Version / Dispatch & Notification)Plan templates + 3-level task breakdown (plan -> department KPI -> individual) + department dispatch + unified metric dictionary + org version snapshots + dispatch & notification + exception closed-loop618 promotion breakdown, monthly sales KPI dispatch, cross-department product launch, offline action backfill, task migration after org restructure
Knowledge Graph
(weave people, events, and things scattered across the company into a network - see the relationships clearly)
Company info ingestion and analysis (entity + relationship knowledge graph)• Ingest: customers, suppliers, products, contracts, projects, employees... define an object type
• Relations: Company A "supplies" Product B, Employee C "owns" Project D
• Graph analysis: centrality, community detection, path finding, duplicate-entity detection and merging
• Multi-source import (Knowledge Base ETL / SQL connector / HTTP API)
Enter all customers, suppliers, contracts into the graph - see the full chain of "who->to whom->supplies what"
• Find all related parties of a given customer
• Risk monitoring: spot a supplier's affiliate in trouble and get an early warning
Data Platform
(let business users query data themselves - with sources attached)
Data assets + natural-language queries + federated direct query• 5 source types (SQL/API/File/NoSQL/Document) via federated direct query, raw data never lands by default
• Natural-language queries with source tags
• Field authorization matrix + per-query audit (plaintext / masked / denied)
• Unified metric / tag / audience / profile assets
Ops asks "last month's East China repurchase rate" — AI answers directly with sources
• Same "active user" defined three different ways across three reports — define as metric for one canonical answer
• Field-level auth + traceable access for sensitive columns
Digital Employees
(like hiring a batch of 7x24-hour tireless AI workers)
Handle simple, repetitive work for you• AI Creator: auto-generate marketing copy, product descriptions, social media content
• AI Publisher: auto-adapt and post content to Xiaohongshu, Douyin, and other platforms
• AI Analyst: data collection, user behavior analysis, public-opinion monitoring
• AI Customer Service: auto-answer customer questions, identify and escalate to humans
• Skill Marketplace: download skill packs from the community, Tencent, ModelScope
• Every day at 8 AM AI Creator auto-writes the day's marketing copy; at 9 AM AI Publisher auto-posts to Xiaohongshu
• Customer leaves a sales question in a Douyin comment -> AI Analyst auto-identifies the lead and routes it to a sales rep
• AI Customer Service is on duty 7x24, answering simple questions directly and escalating complex ones to humans
Security AuditEntry point to Wazuh for security monitoring• Top nav menu, super admin only (JWT SSO, no password needed)
• 5 modules: HIDS / log analysis / file integrity monitoring (FIM) / vulnerability detection / alerts and response
• Covers host intrusion, file changes, vulnerabilities, cross-host log tracing
• Strictly separated from YingClaw Session Audit (each handles its own scope)
Host CPU spikes -> HIDS alert -> drill into logs and file changes
• Critical file (e.g. /etc/passwd) change alert
• Bulk vulnerability remediation: scan 50 hosts for the same CVE -> schedule fix -> re-scan to confirm

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