By SkardiLabs
Agent-autonomous knowledge-base construction with Skardi: turn a directory of docs into a hybrid (vector + FTS) queryable KB using Skardi CLI + SQLite + sqlite-vec, no servers or API keys. Postgres+pgvector and Lance supported as overrides.
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npx claudepluginhub skardilabs/skardi-skills --plugin auto-knowledge-baseStand up server-backed hybrid-search RAG with skardi-server in front of a user-supplied datastore (Postgres+pgvector, MongoDB, or Lance). Renders ctx + ingest/search-vector/search-fulltext/search-hybrid pipelines, drives ingestion and querying over HTTP. Never creates schema for the user.
Core Skardi concepts (auth, SQLite, pipelines, CSRF, DataFusion SQL dialect) plus deploying Skardi to Sealos via kubectl. Includes ready-to-use templates: K8s manifest, Dockerfiles, Next.js proxy, docker-compose for local dev, and an init-db scaffold.
Build and maintain an LLM-curated personal knowledge base in your project — Andrej Karpathy's LLM Wiki pattern, designed to scale to thousands of pages without becoming a context bottleneck. Now with an optional compiled graph layer for typed, provenance-backed relationships.
Domain-specific expert agents for research, documentation, and specialized tasks
Give your AI a memory — mine projects and conversations into a searchable palace. 33 MCP tools, auto-save hooks, and guided setup.
Comprehensive skill pack with 66 specialized skills for full-stack developers: 12 language experts (Python, TypeScript, Go, Rust, C++, Swift, Kotlin, C#, PHP, Java, SQL, JavaScript), 10 backend frameworks, 6 frontend/mobile, plus infrastructure, DevOps, security, and testing. Features progressive disclosure architecture for 50% faster loading.
Upstash Context7 MCP server for up-to-date documentation lookup. Pull version-specific documentation and code examples directly from source repositories into your LLM context.
A growing collection of Claude-compatible academic workflow bundles. Covers scientific figures, manuscript writing and polishing, reviewer assessment, citation retrieval, data availability, paper reading, literature search, response letters, paper-to-PPTX conversion, and evidence-grounded Chinese invention patent drafting. Rules are organized as reusable skill folders with explicit workflows and quality checks.