1.8천건 · 관련도순
Use when the deliverable is authored or edited prose whose wording matters (docs, READMEs, release notes, public copy) or when the user asks to tighten, de-AI, or review writing. Not for chat answers, code review, or explanations of current work.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Use when the user asks to create, add, convert, publish, or deploy a blog post from a draft, notes, Markdown, outline, or topic. Turns a draft into a complete, SEO/GEO-optimized post wired into the site (template, blog index, sitemap, routing) with QA and deploy. Framework-agnostic — discover the project's own conventions first.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Project-level WeChat article drafting workflow for turning source materials, repo intakes, product notes, screenshots, or existing markdown into a publishable Chinese公众号 draft. Use for writing, rewriting, evidence-gating, title options, platform adaptation, and image planning before optional publishing.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Use when auditing or fixing prose that reads like a leaked reasoning transcript — dead design-session citations such as (decision N), audit item codes, or §N of uncommitted drafts; change narration such as "used to", "no longer", "this cut"; stack or review vantage ("a later PR in this stack", "rejected in review"); reviewer-addressed justifications; control-flow narration; or hedged planning residue in comments, JSDoc, docs, or Agent Notes.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Use this skill when a user asks to polish, rewrite, humanize, de-AI, localize, or oralize Chinese writing, including short-video scripts, articles, social posts, speeches, newsletters, and personal-IP content. The skill diagnoses “AI味”, preserves the user's meaning, adapts to optional style samples, replaces translation-like phrasing with natural Chinese expression, and outputs a polished version plus concise revision notes.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Converts Markdown to styled HTML with WeChat-compatible themes. Supports code highlighting, math, Mermaid (rendered to PNG via headless Chrome), PlantUML, footnotes, alerts, infographics, and optional bottom citations for external links. Use when user asks for "markdown to html", "convert md to html", "md 转 html", "微信外链转底部引用", or needs styled HTML output from markdown.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Run evidence-disciplined Xiaohongshu social listening for foreign pharma employee pain points. Use when the user asks to collect and analyze notes/comments about pharma companies, aliases, roles, compliance, medical affairs, or AI topics, then produce a cited and scored sampled-insight report. Includes independent-evidence counting, MediaCrawler batch collection, and CAPTCHA/461 fallback to Agent Reach/OpenCLI.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Create a changeset file in .changeset/ that describes a user-facing change for the release notes
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Use this skill any time a .pptx or .potx file is involved in any way — as input, output, or both. This includes: creating slide decks, pitch decks, or presentations; reading, parsing, or extracting text from any .pptx or .potx file (even if the extracted content will be used elsewhere, like in an email or summary); editing, modifying, or updating existing presentations; combining or splitting slide files; working with templates (.potx), layouts, speaker notes, or comments. Trigger whenever the user mentions "deck," "slides," "presentation," or references a .pptx or .potx filename, regardless of what they plan to do with the content afterward. If a .pptx or .potx file needs to be opened, created, or touched, use this skill.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
从对标账号导入 script + 数据 → 拆 pattern + 派生 base rubric 信号 → 写到 benchmark.md / script_patterns.md / rubric_notes.md。**这是工具最早期信号的来源**——cold-start 用户没自己历史时全靠对标，发过历史的用户也建议至少 1 个对标做 sanity check。触发词："学这个账号"/"拆这几个对标视频"/"learn from"/"导入对标账号"/"找对标"。
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
GStack release documentation method for changelog, release notes, announcement copy, and internal/external release communication.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Generate Guizang-style social cards, Xiaohongshu carousels, 3:4 covers, and WeChat 21:9 plus 1:1 cover pairs from articles, scripts, screenshots, notes, subtitles, or photos.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
GStack land-and-deploy method for explicit landing and deployment workflows with tests, release notes, rollout gates, and rollback planning.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Use this skill when a company has a risk assessment and treatment plan and now needs its first statement of applicability, and asks "build our SoA", "draft the statement of applicability", "which controls apply to us", "SoA from the risk treatment plan", "justify inclusions and exclusions" or "our SoA says implemented everywhere". Drafts one row per control of the reader's framework with the inclusion decision, the risk or obligation behind it, an implementation status taken from records, an evidence pointer and an owner role, and writes a CSV statement plus notes of open decisions.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Use this skill when a company needs to know what AI it builds, buys or uses, before an AI governance programme, an AI regulation review or a customer questionnaire, and asks "list our AI systems", "build an AI register", "AI inventory", "where are we using AI", "find shadow AI", "which of our vendors use AI" or "what AI do we have before the AI Act". Discovers AI systems from procurement, single sign-on, code and teams, records one entry per use case with owner, purpose, data, affected people and the company's role, and writes a CSV register plus notes of borderline cases and open questions.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Use this skill when a company with a security applicability statement extends its management system to privacy or to AI, and asks "extend our SoA for privacy", "which privacy controls apply to a processor", "AI controls applicability", "SoA for our AI management system", "are we controller or processor for this" or "do the AI development controls apply if we only use a model". Settles the company's role per processing activity and per AI system, decides applicability of the additional controls from those roles and the risk or impact assessments, and writes an extension to the applicability statement plus role and scope notes.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Use this skill when staff already use AI assistants, coding tools or AI features and the company needs rules people will follow, and asks "write our AI usage policy", "can staff use ChatGPT", "generative AI policy", "what data can we put into AI tools", "approved AI tools list", "rules for AI agents and connectors" or "AI literacy for staff". Finds out what people actually use, sets a short list of approved tools with a data traffic light, rules for checking outputs and for agents that act, a fast route to request a new tool, and writes a two-page rule set, the approved tools list and rollout notes.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Use this skill when a company needs its record of processing activities for the first time, or has one that is really a list of tools, and asks "build our RoPA", "records of processing", "data map for GDPR", "Article 30 record", "what personal data do we process and why", "data inventory for privacy" or "our DPO needs a processing register". Drafts the record by processing activity from systems, vendors and team interviews, with purposes, data and subject categories, proposed legal bases, recipients, transfers and concrete retention, plus a separate processor record when the company processes data for customers, and a notes file of open questions per owner.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Use this skill when a team needs its first information security risk register, or has one that is a copied catalogue nobody owns, and asks "build our risk register", "draft a risk assessment", "what are our top risks", "risk register from scratch", "our auditor wants a risk assessment" or "turn our incidents and findings into risks". Drafts 20 to 40 company-specific risk scenarios from the material the agent can reach, scores them against an agreed method, proposes owners and treatments, and writes a CSV register plus a notes file of assumptions and questions for owners.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Use this skill when a risk register has treatment decisions but no plan anyone can execute, or when someone asks "write the risk treatment plan", "turn the risk register into actions", "what do we do about our high risks", "treatment plan for the auditor", "budget the security roadmap from the risks" or "our treatment plan is just a list of controls". Turns each reduce, avoid or transfer decision into dated actions with an owner, budget, dependency and the record that will prove it was done, states the expected residual score and why, and adds interim measures for risks that stay high while the work runs. Writes a CSV plan and a short notes file.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Visual whiteboard collaboration for Copilot CLI. Creates an interactive whiteboard that opens in your browser — draw, sketch, add sticky notes, then share everything back with Copilot. Copilot sees your drawings and text, and responds with analysis, suggestions, and ideas. Use in Copilot CLI when an idea is easier to sketch than to describe in text.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Curate Claude Code's auto-memory into durable project knowledge. Analyze MEMORY.md for patterns, promote proven learnings to CLAUDE.md and .claude/rules/, extract recurring solutions into reusable skills. Use when: (1) reviewing what Claude has learned about your project, (2) graduating a pattern from notes to enforced rules, (3) turning a debugging solution into a skill, (4) checking memory health and capacity
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Queue an item WITHOUT acting on it. Appends the provided text as a new pending item on the working todo list, then stops. Use /list <text> to stack up tasks or notes one at a time; act on them later with /go. Does not plan or start the work.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Add voice message transcription to NanoClaw using OpenAI's Whisper API. Automatically transcribes WhatsApp voice notes so the agent can read and respond to them.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.