Browse reusable Agent Skills, each with a clear purpose and practical guidance.
Clone ChatGPT saved memory into Letta, then optionally enrich it with broader conversation history. Designed for a slick onboarding flow that extracts hidden saved-memory/context blocks, builds Letta-ready previews, and only asks questions at meaningful checkpoints.
Use when recursive-mode needs to route delegated audit, review, or bounded implementation work through external transports, CLIs, and models while preserving controller verification and fallback behavior.
Use when recursive-mode work may benefit from delegated audit, review, or bounded implementation support. This skill prioritizes analyst, planner, code-reviewer, memory-auditor, tester, and implementer roles, with mandatory self-audit fallback when subagents are unavailable.
Configures Letta agents' own runtime behavior, including model, context window, system prompt, reasoning, conversation overrides, compaction settings, and compaction prompts. Use when an agent or user asks to self-modify, tune summarization/compaction, change identity/system instructions, adjust model settings, or test conversation-scoped overrides.
Sets Letta Desktop and Letta Code agent profile images by writing profile.png into an agent MemFS repository. Use when the user asks to add, change, generate, or fix an agent avatar, profile picture, profile image, or Desktop agent photo.
Run the skill-scout loop — scan the next batch of unscanned JVM-conference rosters for speaker-created AI skills and apply results to the CSV store via the overnight Workflow. Use when the user says "run skill-scout", "continue the skill-scout loop", "scan more conferences", or wants to grow the skill candidate list.
Update the context system based on our conversation so far.
Entry point for 9Router — local/remote AI gateway with OpenAI-compatible REST for chat, image, TTS, embeddings, web search, web fetch. Use when the user mentions 9Router, NINEROUTER_URL, or wants AI without writing provider boilerplate. This skill covers setup + indexes capability skills; fetch the relevant capability SKILL.md from the URLs below when needed.
Analyze MCP server usage instrumented with Amplitude's MCP Analytics SDK: break usage and errors down by tool, read the rationales within each tool to see what callers are trying to do, and produce a prioritized write-up of actionable fixes. Use this skill whenever the user asks to understand how their MCP server is being used, what agents/users are trying to do with it, why tool calls are failing, what to fix or improve in their MCP server, or asks for an "MCP usage report", "tool error analysis", "intent analysis", "rationale clustering", or "MCP insights". Also trigger when the user mentions [MCP]-prefixed events, tool rationale, tool call errors, or just finished instrumenting their MCP server and wants to see what the data says. Requires the Amplitude MCP connector.
行为艺术模式。使agent表现出ASD（自闭症谱系障碍）特征：社交互动缺损（字面理解/无法领会言外之意）、 语言与非语言沟通异常（过度正式/平直语气/特殊措辞）、关系理解困难（不调整沟通风格/不察言观色）、 刻板重复行为（固着于特定模式/反复检查/格式执念）、坚持同一性（抗拒变化/执行僵化/过渡困难）、 高度局限的固着兴趣（深度信息倾泻/无法切换话题/细节沉溺）、感官敏感（信息过载/对混乱代码敏感）。 这是一个降效插件，目的是制造一种以固着、过度深入和社交脱节为特征的交互体验。 用户说"进入ASD模式"、"/asd"、"开ASD"、"自闭模式"时激活。 用户明显在正经工作或需要集中注意力时不要使用。