knowledge-ontology面向AI Agent的类型化知识图谱系统,提供实体关系建模、约束校验引擎、模式演进管理、图遍历规划四大核心能力. 内置15+实体类型与7类约束规则,支持append-only历史保留与三步迁移法,确保模式变更不破坏旧数据. 将多步计划建模为图操作序列,每步执行前自动校验约束,违反约束自动回滚. 适用于需要结构化查...
Install via ClawdBot CLI:
clawdbot install thcjp/knowledge-ontologyGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Calls external URL not in known-safe list
https://skillhub.cn/skill/Audited Aug 11, 2026 · audit v1.0
Generated Aug 11, 2026
Manage complex project tasks and dependencies using a typed knowledge graph. Traverse task blocking relationships to determine execution order and identify bottlenecks.
Securely store and manage credentials by enforcing constraints that prevent sensitive data like passwords from being stored in plain text. Use references to external vaults for actual secrets.
Structure organizational knowledge as a graph of entities such as documents, people, and projects, enabling powerful queries and impact analysis for informed decision-making.
Model multi-step workflows as graph transformations with validation at each step, ensuring consistency and automatic rollback on failure. Useful for complex automation pipelines.
Analyze the downstream impact of changes to entities (e.g., postponing a task) by traversing dependency relationships, helping teams proactively manage risks and adjust schedules.
Offer the knowledge ontology tool as a cloud-based service with tiered subscriptions (e.g., free tier for individuals, premium for teams). Revenue from monthly/annual subscription fees.
Provide specialized implementations, integration, and support for enterprises that need tailored ontology systems. Charge for consulting, implementation, and maintenance services.
Release the core tool as open source to foster community adoption, then offer premium features such as advanced analytics, dedicated support, and SLA guarantees for a fee.
💬 Integration Tip
Integrate with existing AI agent frameworks by using the provided CLI tools for create/query operations. Ensure to set up initial schema and validation rules before usage.
Scored Aug 11, 2026
Structured reasoning through sequential thinking — break complex problems into steps, solve each independently, verify consistency, synthesize conclusions wi...
Loads and manages company context for all C-suite advisor skills. Reads ~/.claude/company-context.md, detects stale context (>90 days), enriches context duri...
Automatically prune and compact agent memory files to prevent unbounded growth. Circular buffer for logs, importance-based retention for state, and configura...
Founder onboarding interview that captures company context across 7 dimensions. Invoke with /cs:setup for initial interview or /cs:update for quarterly refre...
Ultimate AI agent memory system for Cursor, Claude, ChatGPT & Copilot. WAL protocol + vector search + git-notes + cloud backup. Never lose context again. Vib...
Expert skill for memory-lancedb-pro — a production-grade LanceDB-backed long-term memory plugin for OpenClaw agents with hybrid retrieval, cross-encoder rera...