Turn ideas into comprehensive project specs through collaborative dialogue. Use BEFORE any planning or implementation — for new projects, features, or significant changes. Produces a system-agnostic spec document that can feed into any agentic workflow.
Rewrite raw experience descriptions into stronger, clearer, and more job-relevant resume bullets.
Campaign link builder and pre-launch validator for AI agents. Build UTM-tracked links, validate destinations, and inspect landing pages for social sharing readiness (OG tags, Twitter Cards, viewport, canonical, favicons). The mlz preflight command does everything in one call and returns a go/no-go report.
记录经验、错误与修正，持续改进。触发场景：命令失败 | 操作出错 | 用户纠正（不对、实际上、你错了） | 功能请求（能不能、我希望、有没有办法） | API或工具失败 | 知识过时 | 发现更优做法 | 重复模式 | 非显而易见的问题。执行重大任务前先回顾历史经验。会话开始时回顾，会话结束时总结。
Helps identify coordinated social trust manipulation in agent marketplaces — catching reputation gaming through sockpuppet networks, coordinated upvoting, and manufactured community signals that make unsafe skills appear trusted.
从Reddit挖掘真实痛点，快速生成可落地的MVP方案。当用户需要产品创意验证、市场痛点分析、MVP设计或创业方向评估时使用。
Build Application Document Package. Use when the user wants export files and a submission bundle from an existing library at the packaging stage, including “生成材料包”“导出资产总表和续办清单”“准备提交包”. Prefer caixu-skill when the user asks for the full end-to-end mainline or is unsure which stage to run. This skill loads the latest validated lifecycle result, a RuleProfileBundle, assets and parsed files, asks an agent to choose package contents, validates the decision, runs deterministic docgen exports, persists the package run with an audit sidecar, and prepares the final bundle for downstream use.
Check Document Renewal Requirements. Use when the user wants a lifecycle diagnosis for an existing asset library at the lifecycle stage, including “看未来 60 天续办”“查缺件”“判断能不能提交某个目标场景”. Prefer caixu-skill when the user asks for the full end-to-end mainline or is unsure which stage to run. This skill loads assets and a versioned RuleProfileBundle, asks an agent to produce a complete CheckLifecycleData decision, validates readiness and asset references with shared rules helpers, records an audit sidecar, and persists the lifecycle run only when the decision is structurally valid.
Import Personal Documents. Use when the user wants to import a local directory or explicit files into 材序 at the ingest stage, including “导入一批材料”“先把这个目录吃进去”“先建立可继续建库的解析上下文”. Prefer caixu-skill when the user asks for the full end-to-end mainline or is unsure which stage to run. This skill creates or loads a library, starts an ingest pipeline run, lets the agent choose per-file routes over low-level OCR and parser tools, persists ParsedFile records, and hands off library_id plus run_id to build-asset-library. Do not use it for asset extraction, lifecycle judgment, package building, or submission.
Asset Library Skill. Use when the user expresses the overall end-to-end intent in one request, including “把这些材料建成资产库”“列出未来 60 天需要续办或补办的事项”“生成暑期实习申请材料包”, when the user wants to search materials by natural language but is unsure whether the local retrieval environment is ready, when the user is unsure which phase skill to run, or when the environment may not be installed yet. This skill routes only to the current child skill, sends first-time installation agents to references/install.md when keys, retrieval config, or runtime setup are missing, explains stage boundaries and next steps, and does not directly call MCP tools, extract files, build packages, or submit forms.
Transform raw personal experience, case studies, business documents, or draft content into transferable cognitive assets -- structured knowledge that others can understand, remember, and apply. Use this skill when users want to turn experience or case studies into teachable content, redesign presentations for maximum retention, create course outlines from domain expertise, crystallize knowledge into shareable documents or knowledge cards, convert know-how into teachable answers, or any scenario where experience must become portable and transferable.
Converts any human reminder request into structured JSON reminder data. Trigger this skill whenever the user wants to set, create, schedule, or log a reminder — in any language (Vietnamese or English). This includes phrases like "nhắc tôi", "đặt lịch", "set a reminder", "remind me", "tạo reminder", "lên lịch", or any message describing a future task with a time. Also trigger when the user mentions âm lịch / lunar dates alongside a reminder request. Always use this skill — do NOT attempt to build reminder JSON from scratch without it.
Investment memorandum generation for M&A — structured deal write-ups from the acquirer's perspective with data-backed analysis
Target company evaluation and deal qualification for PE and strategic buyers
Standard PR review and merge workflow for task-driven development. Use when reviewing a programmer agent PR linked to a task, deciding merge vs change request, handling post-merge actions (Trello + branch cleanup), and sending a clear outcome handoff.
Guide users to deploy an AI receptionist or AI customer service agent using Solvea. Trigger when users say things like "deploy AI customer support", "I need an AI receptionist", "automate customer service", "set up a 24/7 support bot", "AI chat for my website", or "automate my customer inquiries".
For new OpenClaw users, provide a staged learning path based on official docs, moving from usage to configuration to core concepts, with everyday analogies.
按优先级读取任务 Skill - 从 todos.json 读取 in-progress 和 pending 任务，按 P0-P9 优先级排序
Top Lean AI 榜单监控 - 监控 Top Lean AI 榜单的变化，记录更新历史，提供分析报告。
Guide users through a basic risk assessment workflow in CISO Assistant, from asset identification to scenario creation. Use when: (1) User wants to start a risk assessment from scratch (2) User mentions "risk assessment", "identify risks", "threat scenarios", or "risk register" (3) User asks about qualitative vs quantitative risk approaches (4) User needs help identifying assets, threats, or creating risk scenarios Covers: risk approach selection (qualitative/quantitative), organizational context gathering, asset identification (primary/supporting), threat catalog usage, scenario generation from threat-asset combinations, risk assessment/study creation.
This skill provides an advanced financial modeling suite with DCF analysis, sensitivity testing, Monte Carlo simulations, and scenario planning for investment decisions
