技能列表

Convert text to natural speech with DIA TTS, Kokoro, Chatterbox, and more via inference.sh CLI. Models: DIA TTS (conversational), Kokoro TTS, Chatterbox, Higgs Audio, VibeVoice (podcasts). Capabilities: text-to-speech, voice cloning, multi-speaker dialogue, podcast generation, expressive speech. Use for: voiceovers, audiobooks, podcasts, accessibility, video narration, IVR, voice assistants. Triggers: text to speech, tts, voice generation, ai voice, speech synthesis, voice over, generate speech,

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Search and hire real humans for tasks — photography, delivery, research, and more

Build, harden, and scale elite Discord servers with a practical admin playbook: security baseline, role/permission architecture, onboarding, moderation ops, engagement systems, and analytics-driven iteration. Use when designing a new server, auditing an existing one, fixing chaos, or preparing for growth.

Audit any website across 8 quality signals to determine if it is outdated, broken, or neglected. Returns a structured audit dict used by the lead-scorer skill.

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GitHub 操作技能 - 创建仓库、推送代码、管理 Release。全自动，无需用户干预。

Clearbit — person enrichment, company enrichment, prospecting, and reveal (identify website visitors).

Analyze YouTube notifications for investment and trading insights. Use when user wants investment advice from YouTube, analyzing stock crypto or financial content, executing /ytb_trade command, or getting video subtitles via yt-dlp and whisper-cpp. Workflow is open YouTube click notification bell extract video IDs get subtitles or download plus whisper-cpp analyze then execute trades.

REST API design patterns including resource naming, status codes, pagination, filtering, error responses, versioning, and rate limiting for production APIs.

Process personal/work expenses and reimbursement claims in a structured, low-friction workflow. Use when collecting receipts, categorizing spend, preparing claim-ready summaries, checking missing fields, generating submission checklists, and drafting claim notes/follow-ups.

Ledger-informed persona lifecycle management. Replaces low-performing personas with successor personas derived from mistake patterns in board decision history, preserving adaptive governance over long-running automation. Reputation updates are computed by consensus-persona-engine.