Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Letta Code's capabilities with specialized knowledge, workflows, or tool integrations.
Dispatch stateless coding agents through Claude Code or Codex. Model catalog checked 2026-08-25: Claude Code includes Sonnet 5, Opus 5, and Fable 5; Codex includes GPT-5.6 Luna, Terra, and Sol. Use when you're stuck, need a second opinion, or need parallel research on a hard problem. They have no memory, so you must…
Comprehensive guide for initializing or reorganizing agent memory. Load this skill when running /init, when the user asks you to set up your memory, or when you need guidance on creating effective memory files.
Optimize an AI agent's harness for MCP-Atlas benchmark. Use when analyzing execution traces, diagnosing failures, and proposing improved prompts, skills, or harness code.
Analyzes your recent Claude Code chat history to identify coding patterns, development gaps, and areas for improvement, curates relevant learning resources from HackerNews, and automatically sends a personalized growth report to your Slack DMs.
Create new skills, modify and improve existing skills, and measure skill performance. Use when users want to create a skill from scratch, update or optimize an existing skill, run evals to test a skill, benchmark skill performance with variance analysis, or optimize a skill's description for better triggering accuracy.
Generates Xiaohongshu (Little Red Book) infographic series with 10 visual styles and 8 layouts. Breaks content into 1-10 cartoon-style images optimized for XHS engagement. Use when user mentions "小红书图片", "XHS images", "RedNote infographics", "小红书种草", or wants social media infographics for Chinese platforms.
Stash is your personal home for agent work. Everything you create is scoped to your account — it is yours alone, with nothing to pick or set up first. Your Stash has three primary surfaces.
Runs pre-selection checks at the start of every aspirations-loop iteration: completion runners, aspiration health, guardrail checks, blocker resolution re-probe, zombie-aspiration scan (Phase 0.5.0a), and recurring-goal surfacing. Use whenever the aspirations loop starts a new iteration and needs to tidy state before…
Runs the Spark Check (Phase 6) and Immediate Learning (Phase 6.5) of the aspirations loop: adaptive spark questions, all sq-XXX handlers (including sq-012 self-purpose update), aspiration-level spark, and immediate capture of reasoning-bank entries, guardrails, and forge awareness. Use whenever a goal completes — this…