Publisher
13 published skills, 64 installs in total.
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.
Every published skill from thomaszhou22. Following a publisher whose work already fits how you operate is often faster than evaluating individual skills one at a time.
Skills cover the full range of what an Ottermind agent does: building editable PowerPoint decks, generating product and brand images, writing and running code on a machine you connect, producing video from a script or a still, and cleaning and analysing spreadsheet data. A skill is what turns a general model into something that handles your specific version of one of those jobs the same way every time.
A skill is a plain Markdown file with a short frontmatter header, which means you can read exactly what it will do before running it, edit it to match your own conventions, and share it with colleagues. Once a skill produces the result you wanted, it can be attached to an agent or scheduled as an automation so the same work happens again without anyone rewriting the prompt.