exploring-mcp-intent-clusters
SkillExplore PostHog MCP intent clusters — agent goals grouped by semantic similarity, with each cluster's tool distribution and error rates. Use when the user asks "what are agents trying to do with the MCP?", "group the intents", "which goals fail most?", "what does each cluster route to?", wants to re
Install
git clone https://github.com/PostHog/ai-plugin.git ~/.claude/skills/exploring-mcp-intent-clustersWhat is exploring-mcp-intent-clusters?
Explore PostHog MCP intent clusters — agent goals grouped by semantic similarity, with each cluster's tool distribution and error rates. Use when the user asks "what are agents trying to do with the MCP?", "group the intents", "which goals fail most?", "what does each cluster route to?", wants to recompute the clustering, or pastes an MCP analytics intent-clustering URL.
What this can do
Capabilities declared in this component's own frontmatter — not inferred.
Inherit all session tools
Declares no tool restrictions — inherits every session tool
~93 tokens of context used while enabled, before you invoke anything
Documentation
README · ~2 min readExploring MCP intent clusters
Intent clustering takes the free-text $mcp_intent values agents attach to
their tool calls, embeds them, and groups semantically similar goals into
clusters. Each cluster carries its tool distribution, call counts, and error
rates — answering "what are people trying to do, and does it work?" rather
than "which tool was called".
Unlike tool quality and sessions (which ultimately aggregate $mcp_tool_call),
clustering needs embeddings and is not expressible in SQL. It is served by
two typed tools backed by a stored snapshot.
Tools
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