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User criticizes Claude's 'Agent Skills' for inefficient context discovery

A user on Reddit has raised concerns about Anthropic's Claude model, specifically regarding how it discovers and utilizes contextual information for its 'Agent Skills' feature. The user argues that Claude's current method of scanning a catalog of skills and loading their full descriptions into context is inefficient and costly, especially as the number of skills grows. They propose an alternative approach where external systems use real-time events and semantic search to retrieve only the most relevant information, aligning better with Anthropic's own guidance on maintaining a small, high-signal context. AI

IMPACT Highlights potential inefficiencies in LLM context management and API token usage, suggesting alternative retrieval methods.

RANK_REASON User critique of a product feature, not a direct announcement or release.

Read on r/Anthropic →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

User criticizes Claude's 'Agent Skills' for inefficient context discovery

COVERAGE [1]

  1. r/Anthropic TIER_1 English(EN) · /u/InfinriDev ·

    The Context Tax: why is Claude using model attention to discover what context it needs?

    <!-- SC_OFF --><div class="md"><p>I deleted my earlier post because I realized I framed the criticism badly.</p> <p>My issue with Agent Skills isn’t that they don’t enforce anything. They’re not supposed to. Skills and hooks solve different problems, and comparing them that way j…