Automate building, reloading, and maintaining the Mycelium symbol index.
npx skills add https://github.com/aimasteracc/mycelium --skill index-management
Please help me install this Agent Skill. Skill: index-management Source: https://github.com/aimasteracc/mycelium/tree/main/skills/index-management Command: npx skills add https://github.com/aimasteracc/mycelium --skill index-management
Efficiently bootstrap, refresh, and validate the Mycelium symbol index so that queries are fast, accurate, and available across the codebase.
Instruct the agent to bootstrap the index for a project path and verify readiness before querying.
High-intent search queries and answers about installing and using this skill.
To bootstrap a symbol index for a new workspace, use the index_workspace tool to build the index and enable immediate codebase querying. You should then verify server readiness before executing any queries.
Reloading a saved symbol index from disk is handled by the load_index tool, which restores a persisted snapshot. This avoids full re-indexing and provides faster availability for querying.
To refresh the symbol index after file edits, use the sync_file tool to update the index incrementally. This ensures your query results reflect the latest codebase changes accurately.
Stale or unavailable symbol index queries occur when the server is not fully ready or the index is outdated. Use the server_status tool to validate readiness and sync_file to refresh changed files.
Yes, you can monitor the reactive symbol index using the watch_status and subscription_status tools. These coordinate index-related tasks and track server readiness across the entire agent lifecycle.
Validating server readiness before querying the Mycelium symbol graph is required to ensure accurate results. The server_status tool checks if the reactive index is fully loaded and available for queries.
lyq-linQuery a local knowledge base for Ant Design component semantics and documentation links.
butttonsQuery a SQLite-indexed codebase for symbol references and dependency analysis.
Exploration-labsAnalyze skill usage patterns to optimize token consumption across conversations.
korallisImplement real-time features using Convex reactive queries that auto-update.
