GitHub user
Agent skills by liliang-cn
- skills
- 4
- repository
- 1
Repositories by liliang-cn
Skills by liliang-cn, ranked
Ranked by score. Sort bymost stars,trending,newest,recently updated
| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 1 | Give a Python agent (such as Hermes Agent by Nous Research) durable, local-first memory plus a queryable SPARQL knowledge graph, backed by CortexDB through its gRPC sidecar and the cortexdb-client… | liliang-cn/ | 274 | — | ~1.7k | Automated safety check: Pass | MIT | yesterday |
| 2 | Give a Node.js agent (such as OpenClaw) durable, local-first memory plus a queryable SPARQL knowledge graph, backed by CortexDB through its gRPC sidecar and the cortexdb-client npm package. | liliang-cn/ | 274 | — | ~1.6k | Automated safety check: Pass | MIT | yesterday |
| 3 | 3.Cortexdb Use CortexDB for local-first AI memory, vector search, RAG, knowledge graphs, SPARQL/RDFS/SHACL, corpus-to-graph workflows, external structured-data import (CSV / SQL dumps), and MCP/tool calling. | liliang-cn/ | 274 | — | ~18k | Automated safety check: Warn | MIT | yesterday |
| 4 | 4.Cortexdb Use CortexDB for local-first AI memory, vector search, RAG, knowledge graphs, SPARQL/RDFS/SHACL, corpus-to-graph workflows, and MCP/tool calling. | liliang-cn/ | 274 | — | ~5.7k | Automated safety check: Warn | MIT | yesterday |
Questions, answered from the data.
What is the best skill by liliang-cn?
Cortexdb Memory Hermes from liliang-cn/cortexdb ranks first of the 4 skills by liliang-cn listed here, with the highest score: its repository has 274 GitHub stars, its SKILL.md loads about 1.7k tokens and it passes the automated safety check with no findings. Next come Cortexdb Memory Openclaw and Cortexdb.
Are liliang-cn's skills official?
None yet. All 4 skills by liliang-cn listed here come from community repositories; a skill counts as official when the product's own GitHub organization publishes it.
How are these skills ranked?
By Skill Navigator score, which combines the GitHub stars of the skill's repository (shared across that repo's skills and discounted for large collections), how many other GitHub owners carry a copy of the skill, and automated SKILL.md quality checks, minus penalties for safety-check warnings and for each further skill from the same repository. Skills that fail the safety check are not listed.