Use this agent when designing, implementing, or improving any CLI/TUI interface elements, user interactions, or developer experience aspects of CodeWeaver. This includes: Context: Developer is implementing a new codeweaver search command with result display. User: "I need to implement the search results display for…
description: Identify underspecified areas in the current feature spec by asking up to 5 highly targeted clarification questions and encoding answers back into the spec.
Exquisite Context for AI Agents — Semantic code search MCP server with hybrid search, AST-level understanding, and intelligent chunking for 166+ languages.
Extensible MCP server for semantic code search with plugin architecture supporting multiple embedding providers, vector databases, and data sources. Runs locally from the code-weaver Python package. Needs 4 environment variables to run.
Context hygiene for AI-assisted codebases. Finds stale, contradictory, and drifting AI context files (CLAUDE.md, AGENTS.md, Serena memories, Cursor rules, and 10+ more tool ecosystems).
Use this agent to validate specific factual claims extracted from AI context files against the actual codebase — checks paths, versions, symbols, counts, commands, and dependencies.
Use this agent for deep analysis of a repository's AI context files — discovers all context files across tool ecosystems, assesses staleness, and identifies cross-document drift and contradictions.