Why does OpenClaw selectively inject only relevant skills instead of loading all skills into context?

If every installed skill's full instructions were injected into every single prompt, the context window would fill up quickly with mostly irrelevant information.

• A bloated context makes it harder for the model to focus on what's actually relevant to the current task
• Unused injected content still consumes tokens, adding unnecessary cost to every single turn
• Selective injection keeps the model's attention on the specific capability needed for the task at hand, rather than sorting through dozens of unrelated skill descriptions

This mirrors a broader pattern seen across agentic AI systems generally, where dumping too much tool or capability metadata into context degrades tool selection accuracy even when each individual piece of metadata is reasonable on its own.

Invest now in Acorns!!! 🚀
Join Acorns and get your $5 bonus!

Acorns is a micro-investing app that automatically invests your "spare change" from daily purchases into diversified, expert-built portfolios of ETFs. It is designed for beginners, allowing you to start investing with as little as $5. The service automates saving and investing. Disclosure: I may receive a referral bonus.

Invest now!!! Get Free equity stock (US, UK only)!

Use Robinhood app to invest in stocks. It is safe and secure. Use the Referral link to claim your free stock when you sign up!.

The Robinhood app makes it easy to trade stocks, crypto and more.

Webull! Receive free stock by signing up using the link: Webull signup.