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Found 1,419 Skills
面向 Linux 对内存、网络、IO、负载等问题做深度分析与诊断。当出现如下问题时使用：内存含内存高/不足、OOM、oom-killer、Java 应用内存与内存全景大图（含 socket 队列与 TCP 内存视角）；网络含丢包与时延抖动（与 memgraph 互补）；IO 含磁盘统计与慢 IO；负载含调度延迟与系统负载。输出结构化诊断信封供自动化续跑。
Diagnose what any story needs regardless of its current state. This skill should be used when a writer is stuck, evaluating story problems, when narrative feels broken, or when someone asks 'what's wrong with my story?'. Keywords: story, diagnosis, stuck, narrative, plot, character, worldbuilding, revision.
Connects to and performs inference with Google Cloud Agent Platform GenAI models, including First-Party Gemini models and Third-Party OpenMaaS models (Llama, DeepSeek, Qwen, etc.). Use when you need to generate code for calling Gemini or OpenMaaS models, authenticate with GenAI SDK, OpenAI SDK, or legacy Agent Platform SDK, configure base URLs and global/regional endpoints, or troubleshoot 429 Resource Exhausted (DSQ), 400 User Validation, or 404 Not Found errors. Don't use for deploying models to endpoints or for running model evaluations.
Test the full Credyt billing cycle end-to-end for a specific product. Creates a test customer, funds their wallet, sends a usage event, and verifies fees were charged correctly. Use this to re-verify a product after making changes in the dashboard, to test a specific product independently, or to troubleshoot billing issues. Note that /credyt:billing-setup runs verification automatically — use this skill when you want to verify without re-running full setup.
A structured root-cause investigation protocol for complex, ambiguous, or multi-layer technical problems. Activate this skill whenever: a problem has resisted two or more fix attempts; the root cause is unknown or assumed; you are tempted to try a variation of something that already failed; a system has multiple interacting layers (hardware, OS, runtime, middleware, config, network); the user says "ultrathink", "think deeper", "figure out why", "stop guessing", "find the root cause", or "it's still broken after your fix". Also activate proactively when you catch yourself about to write a fix before you have verified the cause — that instinct is the signal the protocol is needed. The protocol enforces three disciplines that distinguish root-cause investigation from trial-and-error: (1) explicit THOUGHT/ACTION/OBSERVATION cycles, (2) a hard gate that blocks implementation until the cause is verified by direct evidence, and (3) structured escalation when in-process diagnostic tools are exhausted.
This guide provides step-by-step instructions for recording Lynx performance traces. Use this guide when the user asks how to record a trace.
tl;dv API for meeting recordings. Use when user mentions "tl;dv", "meeting recording", "meeting summary", or asks about call analysis.
Debug container agent issues. Use when things aren't working, container fails, authentication problems, or to understand how the container system works. Covers logs, environment variables, mounts, and common issues.
Create effective debugging prompts—include error messages, stack traces, expected vs actual behavior, logs, and attempted solutions
Diagnose and resolve RevenueCat integration issues — inspects dashboard configuration through the RevenueCat MCP, walks the SDK debug logs, and covers code-side gotchas. Use when the user says offerings are empty, products not loading, entitlement not active after purchase, paywall won't load, transactions not appearing, customer info shows no entitlements, sandbox purchase not working, or RevenueCat is broken on iOS, Android, Kotlin Multiplatform, Flutter, or React Native.
Interpret validation errors and guide fixing them. Use when encountering validation errors, validation warnings, false positives, operator structure issues, or need help understanding validation results. Also use when asking about validation profiles, error types, or the validation loop process.
Debug issues that occur sporadically and are hard to reproduce. Use monitoring and systematic investigation to identify root causes of flaky behavior.