Fetches and caches official Letta documentation via an ETag-verified Node.js helper script.
npx skills add https://github.com/letta-ai/letta-code --skill letta-guide
Please help me install this Agent Skill. Skill: letta-guide Source: https://github.com/letta-ai/letta-code/tree/main/src/skills/builtin/letta-guide Command: npx skills add https://github.com/letta-ai/letta-code --skill letta-guide
AI agents often answer questions about Letta from stale training data, inventing CLI flags, settings, pricing, or API details that no longer exist. This Skill routes every docs.letta.com lookup through a cached, ETag-checked fetch helper so answers about Letta products, APIs, and SDKs come from live documentation instead of memory.
Ask the agent how to configure a Letta feature, such as setting up a model provider or channel, and it will fetch the current official docs before answering.
High-intent search queries and answers about installing and using this skill.
Run the fetch-letta-docs.mjs helper with Node.js to download the docs.letta.com llms.txt index, then pass a specific page URL with --docs-url to fetch that page. The helper verifies the ETag against the body before caching.
The fetch_webpage tool may serve stale content from its upstream cache and guessing URLs can miss pages under different paths. The helper fetches the live index first and validates content via ETag, so answers reflect current docs.
The script needs Node.js 18 or newer for native fetch, or curl as a fallback transport. It also requires a writable temporary directory for its cache, which can be overridden with the --cache-dir flag.
The skill falls back to fetch_webpage with a fresh query parameter and discloses the content may be stale. If that also fails, it says the docs are unreachable, gives a best-effort answer marked as possibly out of date, and links to docs.letta.com.
Questions about the currently running agent, such as its active model, tools, or memory contents, should be answered through self-inspection and the self-configuration skill rather than fetching documentation.
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