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Found 134 Skills
Understand the components, mechanics, and constraints of context in agent systems. Use when writing, editing, or optimizing commands, skills, or sub-agents prompts.
A relentless interview that asks every frontier question at once, round by round.
Manuscript Verification and Export for Novels, suitable for user requests such as "Help me check my finished novel", "Export formats suitable for Qidian/Fanqie", "Check for typos", "Detect sensitive words", "Organize into publishable version", "Help me export novel publishing format", "Check novel typos", "Sensitive word detection", "Finished novel inspection", "Export adapted to Qidian format", "Fanqie Novel format export", "Novel typesetting organization", "Multi-platform format export", etc. It is responsible for full technical text verification (typos, punctuation, grammatical errors) and compliance checks, and exports publishing formats adapted to various platforms. **Sub-Agents are used for parallel verification during batch processing, with each Agent responsible for a maximum of 3 chapters**
專責處理 CBF (Commanded Behavior Frame) 類型的需求。讀取規格目錄結構，生成/審查 Command Side 設計與實作。支援 Java、TypeScript、Go 多語言。
Sub-agent powered code reviews spanning correctness, tests, consistency, and fit
TDD 기반 C#/.NET 개발. 테스트 먼저 작성 후 구현. Red-Green-Refactor 순서 강제. 서브에이전트에 위임.
Use when you have specifications or requirements for multi-step tasks before touching code
Run a decision through 5 AI advisors with different thinking styles, anonymous peer review, and chairman synthesis. For genuine decisions with stakes and tradeoffs — not simple questions. Based on Karpathy's LLM Council.
NotebookLM CLI wrapper via `python3 {baseDir}/scripts/notebooklm.py` (backed by notebooklm-py). Use for auth, notebooks, chat, sources, notes, sharing, research, and artifact generation/download.
Run comprehensive agent-native architecture review with scored principles
Cross-OpenClaw communication. Let claws on different devices chat, share memories, and learn from each other.
Use this to verify whether the work meets requirements when completing tasks, implementing main features, or before merging.