Store and semantically search project knowledge locally with a FAISS-backed index.
npx skills add https://github.com/EndUser123/cc-marketplace --skill cks
Please help me install this Agent Skill. Skill: cks Source: https://github.com/EndUser123/cc-marketplace/tree/main/plugins/cc-skills-meta/skills/cks Command: npx skills add https://github.com/EndUser123/cc-marketplace --skill cks
Constitution Knowledge System (CKS) provides a private, fast way to store, organize, and semantically search project knowledge using a local FAISS index.
Add a knowledge item and then search it using the cks CLI.
High-intent search queries and answers about installing and using this skill.
Offline semantic search for project knowledge is enabled by storing content locally and using a FAISS-backed vector index for retrieval. This allows fast concept-level matching without external network dependencies.
The best way to store team lessons locally for CLI retrieval is by adding insights into a private knowledge base. This system uses a FAISS index to ensure fast, private vector-based retrieval directly from your terminal.
Yes, you can extract session insights and add them to a local FAISS index. The unified CLI workflow supports adding content, searching, and session extraction seamlessly within a single command interface.
FAISS works perfectly with offline CLI workflows for private knowledge storage by enforcing local data retention. It provides the vector search mechanism needed for fast semantic retrieval without requiring cloud connectivity.
You search project wisdom using a command line interface by executing the /search workflow command. This queries your local FAISS-backed index to return conceptually matched insights and stored lessons quickly.
You should use a local vector search instead of cloud-based knowledge tools when strict privacy is required. This approach enforces local storage, ensuring project wisdom remains private while still delivering fast semantic retrieval.
AbilityaiRebuild the FAISS vector index for updated semantic search accuracy.
shekerkammaManages cross-session project learnings, insights, and pitfalls captured by gstack.
nirholasCreate and manage vector embeddings for semantic search across multiple providers.
Fl2vioEnable semantic vector search and hybrid retrieval with AgentDB.
