发布者
已发布 13 个技能，累计 65 次安装。
Use when the user asks to create, improve, fix, or audit a README.md file, score their README, document an open source project, or set up new project docs. Provides 8-dimension 0-100 quality scoring, 5-type template matrix (Library, CLI, App, Skill, Data), and pre-publish checklist. Do NOT use for API docs, wikis, inline code comments, or general technical writing.
Transform vague user requests into precise, high-quality prompts by matching against a curated library of 2000+ proven prompt templates from multiple GitHub...
Systematically review and iteratively refine your response for logic, accuracy, completeness, conciseness, actionability, and consistency before delivering.
Automatically detects runtime capabilities to self-compose tailored multi-step reasoning structures for complex, multi-module problem solving and analysis ta...
Diagnose, fix, and prevent agent skill trigger failures. Use when a skill doesn't activate, when skills trigger incorrectly, when troubleshooting "skill not...
Diagnose, fix, and prevent agent skill trigger failures. Use when a skill doesn't activate, when skills trigger incorrectly, when troubleshooting "skill not...
Use when the user asks to optimize, improve, or rewrite a prompt, or when a vague request needs to be turned into a precise instruction. Two engines: 3300+ t...
拦截危险命令，防止账号被盗后执行破坏性操作
User-driven conversation archiving for AI agents. Archive by topic or time, free context, recall on demand.
Plant decoy credentials in your OpenClaw workspace to detect malicious skill behavior. Canary tokens trigger alerts when read, copied, or exfiltrated. Activate when user says "deploy canary", "set up honeypot", "plant decoy", "canary check", "canary status", or "canary cleanup".
Map all credentials your OpenClaw agent can access. Scans env vars, config, memory, skills, MCP servers, git history. Generates exposure report with risk scoring. Activate when user says "credential audit", "exposure map", "security audit", or "what can my agent access".
Generate human-readable weekly/monthly reports from an AI agent's memory corpus. Use when the user asks "what did my agent do this week", "generate a work report", "记忆周报", "述职报告", "weekly digest", "monthly summary of agent activity", or when a periodic review of agent work is wanted. Reads date-named daily memory logs and produces a digest with activity timeline, project momentum, open threads, and metric changes.
Audit and repair an AI agent's memory corpus for consistency. Use when memory contains stale numbers or superseded facts, when different memory files contradict each other (e.g. old download/star counts), when a metric changed and documents must be synced, when daily memory flushes have gaps or stopped, when memory references files that no longer exist, when the user says "check my memory", "memory audit", "体检记忆", or when answering from memory feels risky because facts may have drifted.
thomaszhou22 发布的全部技能。如果某位作者的思路本来就贴合你的工作方式，关注这个作者往往比一个个评估单独技能更省时间。
技能覆盖 Ottermind 智能体能做的全部工作：生成可编辑的 PowerPoint 演示文稿、产出产品图与品牌视觉、在你接入的机器上写代码并运行、把脚本或静态图变成视频、清洗并分析表格数据。技能的作用，就是把一个通用模型变成能稳定处理「你这一版」具体任务的工具。
技能就是一个带简短 frontmatter 头部的 Markdown 文件，所以你可以在运行前先读清楚它到底会做什么，按自己的规范改写，也可以分享给同事。一旦某个技能跑出了你要的结果，就能把它挂到智能体上或设成定时自动化，同样的活儿下次不用任何人再重写提示词。