Use this skill whenever the user wants speech to sound more human, companion-like, or emotionally expressive. Triggers include: any mention of 'say like', 'talk like', 'speak like', 'companion voice', 'comfort me', 'cheer me up', 'sound more human', 'good night voice', 'good morning voice', or requests to add fillers, emotion, or personality to generated speech. Also use when the user wants to mimic a specific character's voice, apply speaking style presets (goodnight, morning, comfort, celebration, chatting), tune emotional parameters like warmth or tenderness, or make TTS output feel like a real person talking. If the user asks for a 'voice message', 'companion audio', 'character voice', or wants speech that sighs, laughs, hesitates, or sounds genuinely warm, use this skill. Do NOT use for plain text-to-speech without personality, music generation, sound effects, or general coding tasks unrelated to expressive speech.
raidery
from GitHub
数据与AI
Query Chinese A-share stock market data using natural language through pywencai library (同花顺问财). Use when user needs to (1) Query A-share stock data with keywords like 问财, wencai, 股票查询, (2) Search stocks by conditions like 涨停股, 龙头股, 高ROE, (3) Query financial metrics like 市盈率, 净利润, 营收, (4) Query technical indicators like MACD, KDJ, 均线, (5) Analyze sector/industry information like 板块, 概念股. Triggers on 问财, wencai, A股, 股票查询, or any Chinese stock market queries.
DmiyDing
from GitHub
运维与交付
This skill should be used when a request is ambiguous, underspecified, conflicting, or high impact. It is intended for vague verbs like optimize, improve, fix, refactor, and add feature; for missing file paths or unknown dependencies; and for risky actions like deploy, delete, overwrite, or migrate. It should not be used for purely informational requests or explicitly scoped low-risk changes. The skill enforces risk triage, blocking clarification, explicit confirmation for medium/high-risk work, and prevents silent assumptions before execution.