技能列表

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Alibaba Cloud Text-to-Speech synthesis service.

Build a retrieval-informed chapter skeleton (`outline/chapter_skeleton.yml`) from taxonomy/core scope before

Give ClawBot access to your team's entire coding history. Muse connects your past sessions, team knowledge, and project context—so ClawBot can actually help design features, mediate team discussions, and work autonomously across your codebase. Deploy at tribeclaw.com.

Write H2 chapter lead blocks (`sections/S_lead.md`) that preview the chapter''s comparison lens and

Build per-chapter (H2) writing briefs (NO PROSE) so the final survey reads like a paper (chapter leads + cross-H3

Deploy smart contracts and bridge assets to Abstract (ZK Stack L2). Use when an agent needs to deploy contracts on Abstract, bridge ETH/tokens to Abstract, trade/swap tokens, place predictions on Myriad Markets, check balances, transfer assets, or interact with Abstract mainnet. Covers zksolc compilation, Hardhat deployment, Relay bridging, DEX trading (Kona, Aborean), Myriad prediction markets, and key contract addresses.

Use Chanjing video synthesis APIs to create digital human videos from text or audio, with optional background upload, task polling, and explicit download when the user asks to save the result locally. Primary credential: credentials.json (app_id/secret_key; access_token persisted on disk—do not commit; user accepts file-based secrets). Same credentials file as chanjing-credentials-guard. Not OpenClaw primaryEnv. Default path in metadata.openclaw.credentialModel. Optional env: CHANJING_API_BASE,

Convert personal journal entries into shareable social media posts

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Personal streaming assistant with learning preferences. Tracks what you're watching, learns your taste, and suggests what to watch next based on your services, mood, and preferences. Use when asked about movies, TV shows, streaming services, what to watch, or tracking viewing progress. Triggers: /stream, 'what should I watch', 'recommend something', mentioning Netflix/Prime/Disney+/Apple TV+, asking about series/seasons/episodes, mood-based requests like 'something exciting'.

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