Batch multiple symbol queries into a single MCP call.
npx skills add https://github.com/aimasteracc/mycelium --skill batch-ops
Please help me install this Agent Skill. Skill: batch-ops Source: https://github.com/aimasteracc/mycelium/tree/main/skills/batch-ops Command: npx skills add https://github.com/aimasteracc/mycelium --skill batch-ops
Batch-ops reduce the number of MCP calls by aggregating multiple symbol queries into one request, lowering token usage and latency.
Common workflows include enriching Hyphae results, aggregating top-N symbol info, and performing bulk reachability analyses with reduced network chatter.
Use a single batch call to obtain info, reachability, or degree data for multiple symbol paths.
High-intent search queries and answers about installing and using this skill.
Batching symbol queries into a single MCP call reduces token usage and latency. You can aggregate up to 50 paths for symbol info or node degree, obtaining enrichment and reachability data with lower network chatter.
The maximum number of symbol paths for batch reachability queries is 20 paths. This cap applies to both batch_reachable_from and batch_reachable_to operations, which return the union of reachable sets from multiple seeds.
To enrich Hyphae query results without excessive network calls, use batch operations to aggregate symbol info, node degree, and reachability data. This approach lowers latency by processing multiple paths in a single batch request.
When using batch_symbol_info for bulk data retrieval, unknown paths return error objects instead of failing the entire request. This design keeps results aligned with the input array, allowing you to process valid symbols alongside invalid ones.
Yes, you can compute in-degree and out-degree for multiple symbols at once using the batch_node_degree operation. It accepts up to 50 symbol paths in a single call, returning the degree data per symbol to minimize network chatter.
Batch operations are necessary for graph reachability analysis from multiple seeds to avoid excessive token consumption and high latency. They union the reachable sets from up to 20 seeds in one call, streamlining bulk graph traversal workflows.
MadAppGangAnalyze codebases with tree-sitter AST parsing and PageRank symbol ranking.
endorlabsFetch and search decoded call graph artifacts for symbol reachability.
lNwNlRetrieves GitNexus tool, resource, and knowledge-graph schema information for querying.
attentiondotnetQuery Base L2 wallet balances, token info, and network stats with USD pricing.
