Results for “prefix-caching”
8 skills
lionelndong topic-discovery
Layer 0 of the keyword research pipeline. Builds a topic-graph snapshot for the brand's category before any seed work, approximated from Semrush phrase_related + phrase_questions on the category seeds plus the brand's own ranking footprint (domain_organic_unique). Idempotent on brand-config hash; never blocks the pipeline; cheap.
0
antigravity exa-search
Perform semantic search, find similar content, and conduct structured research using the Exa API.
42.4k
danstrem2 exa-search
Semantic search, similar content discovery, and structured research using Exa API
2
arustydev mcp-research
Discover, profile, and evaluate MCP servers for a given domain or purpose. Use when searching for MCP servers to add to a project, comparing server capabilities, enriching the local registry cache, or evaluating whether a server suite covers a stated need. Covers cache-first discovery, remote registry scanning, deep server profiling, and gap analysis.
8 · bundle
antigravity vexor-cli
Locates files by intent using semantic search, ideal for finding implementations, definitions, or documentation in medium to large repositories.
42.4k
rootcastleco exa-search
Semantic search, similar content discovery, and structured research using Exa API
6
akillness semble
Fast, accurate code search for AI agents using ~98% fewer tokens than grep+read. Indexes any local or remote repository in under a second (~250ms on CPU, no GPU or API key needed). Supports natural-language and symbol queries, semantic similar-code discovery, and MCP server integration for Claude Code, Codex, Cursor, and OpenCode. Python library available for programmatic use. Triggers on: semble, code search, semantic code search, semble search, token-efficient search, find code, code search mcp, agent code search, semble find-related, semble savings.
42 · bundle
arustydev skill-research
<!-- TODO: Progressive discovery of MCP servers and registries -->
8 · bundle