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Found 770 Skills
Generate a response to a common legal inquiry using configured templates, with built-in escalation checks for situations that shouldn't use a templated reply. Use when responding to data subject requests, litigation hold notices, vendor legal questions, NDA requests from business teams, or subpoenas.
User Guide for Feishu IM Message Reading Tool, covering session message retrieval, thread reply reading, cross-session message search, and image/file resource download. **Use this Skill when:** (1) Need to retrieve historical messages of group chats or one-on-one chats (2) Need to read reply messages in threads (3) Need to search messages across sessions (by keywords, senders, time, etc.) (4) Messages contain images, files, audio, video that need to be downloaded (5) Users mention "chat history", "messages", "what was said in the group", "thread replies", "search messages", "images", "file download" (6) Need to filter messages by time range or get more messages by pagination
Transform writing samples into a codified voice style that can be replicated consistently. This wizard guides you through analyzing samples, extracting patterns, and generating a custom voice skill.
A library of creative mechanics — the structural patterns that define how an ad constructs meaning between its hook, visuals, and narrative. Use this whenever designing ad concepts, briefing creative, or trying to explain why a specific ad works beyond just its hook or format. Trigger when a user describes an ad they saw and wants to understand or replicate what made it work, when building a creative concept from a messaging angle, or when execution needs more than a hook and a format — it needs a structural idea. Creative mechanics sit between hooks and visual formats in the Creative Strategy Engine: hooks say what, formats show how, mechanics define the cognitive or emotional mechanism that makes the concept land. Always pair with Hook Writing for opening line execution and Hook Tactics for tactic classification.
Use kakaocli on macOS to read KakaoTalk chats, search messages, and send replies after explicit confirmation.
Transform Claude Code into a fully autonomous agent system with persistent memory, scheduled operations, computer use, and task queuing. Replaces standalone agent frameworks (Hermes, AutoGPT) by leveraging Claude Code's native crons, dispatch, MCP tools, and memory. Use when the user wants continuous autonomous operation, scheduled tasks, or a self-directing agent loop.
Step-by-step playbook for developing a NocoBase plugin, covering scaffolding, server-side code (collections, APIs, ACL, migrations), client-side code (blocks, fields, actions, settings pages, routes, components), i18n, and verification. TRIGGER when: user asks to create, build, implement, or develop a NocoBase plugin, mentions 'NocoBase plugin', or describes a feature to be built as a NocoBase plugin. This skill contains NocoBase-specific conventions and templates that general coding cannot replicate — always invoke it instead of planning from scratch.
Migrate Next.js, Vite, React, Vue, Svelte, and other web applications from Vercel to CreateOS. Parses vercel.json, maps environment variables, detects framework and build settings, and deploys to CreateOS via the CreateOS MCP server. Use this skill whenever the user mentions migrating from Vercel, leaving Vercel, moving a deployment off Vercel, replacing Vercel, or when a repository contains a vercel.json file and the user wants to deploy elsewhere. Also use when the user references concerns about Vercel reliability, pricing, security, or the Vercel breach, and wants an alternative.
将 test files 从 `as` type assertions 迁移到 @total-typescript/shoehorn。Use when user mentions shoehorn, wants to replace `as` in tests, or needs partial test data.
AI-powered OSINT agent with interactive REPL, MCP server, and CLI for email/username/domain/IP/phone investigation using 11 integrated tools
Luban - Skill Polishing Workshop. Transform a "usable Skill" into a public Skill asset that is "understandable, installable, shareable, verifiable, and continuously evolvable". The methodology consists of five craftsman-like steps: 1. Material Inspection: First challenge whether the premise of this Skill is valid; directly state if the "material" is not worth polishing. 2. Peer Research: Search for similar Skills online to clarify its position in the ecosystem. 3. Dimension Measurement: Evaluate using three metrics - structure, actual testing, and live verification (live verification means reconciling with real running outputs; a green CI can be deceptive). 4. Iterative Refinement: Freeze the original version as a baseline; only retain changes that pass the verification gate, otherwise revert. Try to institutionalize verification methods as tools and rules in the repository. 5. Post-Release Iteration: Release is not the end; maintain a benchmark observation list, and start the next iteration based on real feedback. This tool is used when users want to upgrade, optimize, polish, productize, or release their self-developed Skills. The final deliverables include a structured Skill Polishing Report, directly replaceable rewritten segments, and a shareable "Graduation Certificate" result card that can be screenshot. Trigger phrases include but are not limited to: "Let Luban take a look at this skill", "Polish at Luban's Workshop", "Polish my skill", "Upgrade my skill", "Optimize this skill", "Skill check-up", "Skill audit", "Productize my skill", "How to release this skill", "Benchmark against similar skills", "Why no one installs my skill", "Help me publish my skill to GitHub/ClawHub", "Improve SKILL.md". Even if users only provide a Skill directory, GitHub repository link, or a segment of SKILL.md saying "Help me figure out how to modify it", it should be triggered as long as the context is about making the Skill more usable and shareable. Do NOT use this for creating a new Skill from scratch (use skill-creator), regular code review (use code-review), or rewriting ordinary prompts unrelated to Skill assets.
Audit, revise, or draft manuscript statistical reporting for Nature / high-impact journal submissions. Use when the user asks to check statistical analysis sections, p values, confidence intervals, sample size, biological versus technical replicates, randomization, blinding, multiple-comparison correction, model assumptions, figure legends, Results statistics wording, reviewer comments about statistics, or Chinese academic drafts needing publication-ready Statistical analysis text. Also trigger on general paper-statistics requests such as 统计审查、统计分析小节、统计方法、p值、样本量、重复数、多重比较、置信区间、效应量、图注统计、审稿人统计意见.