vida-stack

VIDA runtime development workflow for vida-stack. Use when working on TaskFlow, DocFlow, runtime diagnostics, operator command surfaces, run-graph/lane/dispatch state, issue-driven runtime defects, command-efficiency follow-ups, or session closeout/proof planning in C:/project/vida-stack.

This skill should be used when code search is needed (whether explicitly requested or as part of completing a task), when indexing the codebase after changes, or when the user asks about ccc, cocoindex-code, or the codebase index. Trigger phrases include 'search the codebase', 'find code related to', 'update the index', 'ccc', 'cocoindex-code'.

VIDA GitHub issue processing for pomazanbohdan/vida-stack. Use when triaging, commenting, closing, labeling, deduplicating, or mapping GitHub Issues to TaskFlow tasks, especially runtime diagnostic issues, stale issue cleanup, and issue-to-epic/task synchronization.

Design, audit, repair, and document GitHub Actions workflows using current official GitHub documentation. Use when working with .github/workflows YAML, CI/CD pipelines, workflow triggers, jobs, matrices, permissions, caching, artifacts, reusable workflows, runners, GITHUB_TOKEN, secrets, OIDC, artifact attestations, workflow security hardening, or GitHub Actions troubleshooting.

Unified RAG pipeline skill for Rust/MCP projects. Covers architecture, local embeddings via Candle ML framework, chunking strategies, retrieval patterns, hybrid search, reranking, and evaluation (NDCG/MRR). Use when: building RAG, vector search, semantic search, document retrieval, embeddings in Rust.

Master Rust 1.75+ with modern async patterns, advanced type system features, and production-ready systems programming. Expert in the latest Rust ecosystem including Tokio, axum, and cutting-edge crates. Use PROACTIVELY for Rust development, performance optimization, or systems programming.

SurrealDB 3.0 vector search expert. Covers HNSW index design, distance metrics, quantization, BM25 hybrid fusion (RRF/linear), and production tuning for Rust MCP projects. Use when building semantic search, RAG retrieval, or hybrid search with SurrealDB.