发现最适合你需求的 AI 技能
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AI agent operations reference — multi-agent architectures, ReAct and chain-of-thought patterns, tool-use conventions, prompt injection defense, and evaluation metrics
为内部agent生成"货xx"格式的名字,并检查是否已被使用。用于给新agent起名时避免重复。功能:给新agent起名、检查agent名字是否可用、查看已使用的agent名字列表、添加/复活agent名字、弃用/阵亡agent名字。
正向激励与任务进度管理技能。使用幽默、积极的激励话术帮助 agent 保持高效工作状态。支持任务创建、进度追踪、里程碑庆祝、专注模式提醒和成果复盘。当需要激励 agent、管理任务进度、庆祝里程碑或进行工作总结时使用此技能。
Implement the 5-file agent memory architecture for durable continuity across sessions. Covers SOUL.md (identity), IDENTITY.md, USER.md, AGENTS.md (operating manual), MEMORY.md (long-term memory), daily notes, and TOOLS.md. Includes WAL protocol, typed memory entries, L1 summaries, prose-as-title convention, memory compression, always-search protocol, and contradiction detection. Use when setting up a new agent, restructuring memory, or improving an existing agent memory system.
Backup, sync, and restore agent memory and state to the cloud using the Agent Life Format (ALF). Use when asked to back up agent data, sync memory to the cloud, restore from a backup, or migrate between agent frameworks. Requires the alf CLI binary and an API key from agent-life.ai.
Generate complete, deployable AI agent skill packages from natural language descriptions. Includes 6 templates (monitor, scraper, analyst, trader, assistant, webhook) with optional SkillPay monetization. Use when a user wants to create a new agent, build a skill from scratch, scaffold an agent project, or generate a deployable skill package.
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Agent体验守护系统。解决AI助手常见体验问题:长时间无响应、任务卡死、中英文混用、状态不透明。包含看门狗监控、智能状态汇报、即时状态查询、语言一致性过滤、消息队列追踪。适用于所有渠道(QQ/微信/Telegram/飞书/Discord等)。当用户抱怨"等太久没回复"、"回复中英文混着"、"不知道在干什么"时使用此skill。
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Create independent OpenClaw agents via interviews. Use when: (1) creating dedicated agent with isolated workspace, (2) generating personality files (SOUL/AGENTS/USER/HEARTBEAT), (3) configuring channel bindings, (4) setting up tool permissions. Updates AGENTS.md team registry. ALWAYS interview requirements, verify configs, test before deploy.
Orchestrate coding agents (Claude Code, Codex, etc.) to implement coding tasks through a structured workflow. Use when the user gives a coding requirement, feature request, bug fix, or GitHub issue to implement. Includes requirement analysis, document generation (requirement doc + verification doc), agent dispatch, monitoring, verification, and delivery. NOT for simple one-line fixes or reading code. Triggers on coding tasks, feature requests, bug reports, GitHub issues, or "implement/build/fix