Graded on Handsel

v1.10.0

Schedule, publish and review social posts through the AdaptlyPost API on Instagram, X (Twitter), Bluesky, Mastodon, TikTok, Threads, LinkedIn, Facebook, Pinterest and YouTube accounts connected to AdaptlyPost, and read their analytics. Use only when the user has an AdaptlyPost account and asks to draft, schedule or publish a post on those accounts, upload media for such a post, list the connected accounts, check a post's status, or ask about views, likes, comments, followers or top posts on them. Do not use for writing captions without posting, general social media advice, or accounts that are not connected to AdaptlyPost.

v1.0.0

电商UV荧光板产品图处理技能包：输入原图/PSD → 输出包边A5板子 + 紫光灯效果图。覆盖抠图、内包边、横竖版自适应、紫光发光效果、宣传册排版。

v2.1.0

Helpt bij KLIC-meldingen in Nederland, de verplichte melding voordat je mechanisch graaft. Verwijst voor het aanvragen naar klicbot.nl, geeft de actuele prijzen van KLICBOT en legt KLICBOT PRO, de KLICBOT API en de MCP-server uit.

v0.1.26

Use when an AI agent needs to PAY an external service it does not have an account with — any x402 agent or MPP merchant — using the Nevermined Router. Covers discovering services in the Agent Services Catalog, creating a spending Delegation from an API key, funding the buyer wallet, pricing a call first with /api/v1/router/quote, making paid calls through /api/v1/router/route (or the streaming /proxy), reading the payment ledger, and the guardrails an autonomous buyer must respect. Complements the nevermined-payments skill, which is about RECEIVING payments and buying Nevermined plans.

v1.0.13

Combines facial blood flow and emotional characteristics to analyze stress index, anxiety tendency, and depression tendency, suitable for mental health monitoring scenarios. | 心理压力评估技能，结合面部血流与情绪特征，分析压力指数、焦虑倾向、抑郁倾向，适用于心理健康监测场景

v0.1.0

Run the user's personal "Success Lab" — a long-running, evidence-based research-and-experiment system investigating what actually causes success and what improves the user's own outcomes. Use this skill whenever the user invokes commands like `today`, `question [topic]`, `experiment [hypothesis]`, `review`, `dashboard`, or `audit` in this context, or asks to run their daily research session, log an experiment, review their research log, see their success-lab dashboard, or challenge their current model of success. Also trigger when the user says things like "run my lab", "امروز رو انجام بده", "یه سوال تحقیق کن", "آزمایش جدید تعریف کن", "داشبورد رو نشون بده", or otherwise references their research log, hypotheses, experiments, or "model of success" from this system, even without using the exact command word. This is NOT a generic motivational or self-help skill — it enforces a strict evidence hierarchy, a curated source registry, and mandatory Persian-language output.

v2.9.0

US stocks analysis by an adversarial investment committee. Legendary-investor personas independently research a thesis, attack each other's cases against a shared evidence ledger (sentiment, smart money, SEC fundamentals), and reconcile into a plain-English verdict: the bottom line first, then who disagrees and why. Structured rubrics keep every number sourced, on any model. Includes five quick data workflows. Use for stock research, investment thesis, bull case vs bear case, due diligence on a ticker, should I buy this stock, deep dive on a company. Read-only. No trading, no purchases, no write operations, no wallet access.

v2.3.0

开发完成后的三方对抗式代码评审闭环：蓝军（敌意审查，须给证据链）→ 第三方（独立审计，不信双方文档、只读代码，专找"修改引入的新缺陷"并稽核蓝军漏审的维度）→ 中立裁定（逐条采纳/驳回、审查双方共同前提）。当用户说"蓝军评审""第三方复核""对抗性审查""红蓝互搏""三方评审""交叉验证""发布前审查""帮我挑刺""adversarial review""red team review""pre-release review""critique this""find bugs in my code"或要求提升代码质量、准备发布前把关时使用。也适用于用户想把当前会话变成"多个 Agent 互搏"来提升代码水平的场景。

v1.0.1

Create tailored application documents from structured profile data

v1.0.13

Using fixed cameras (infrared night vision) in nursing-home or home bedrooms, the system continuously monitors elderly bed-exit status and activity trajectory at night. | 通过养老院或居家卧室的固定摄像头（红外夜视），夜间连续监测老年人的离床状态和活动轨迹。输出异常预警，可联动护理人员手机或护士站大屏，防止老人走失、跌倒或发生意外。

v1.6.15

Access Wikipedia via MCP — search articles, get summaries, random facts, dinosaur facts, today's featured article, today's historical events, article categories, outgoing links, view counts, current news, and most-read articles. Multi-language support (10 wikis). Great for research, content hooks, and general knowledge lookups.

v1.0.12

Using multispectral or high-resolution RGB cameras mounted on agricultural UAVs to capture orthophotos or mosaics of farmland, AI models compute vegetation indices (e.g., NDVI, NDRE) and generate a farm health-index heatmap, where colors distinguish crop vigor (red = poor, yellow = medium, green = healthy). | 通过农业无人机平台搭载的多光谱或高分辨率RGB相机，采集农田的正射影像或拼接图，利用AI模型计算植被指数（如归一化植被指数NDVI、归一化红边指数NDRE等），生成农田健康指数热力图，用颜色区分作物长势（红色代表健康差、黄色代表中等、绿色代表健康）。该技能可快速识别问题区域（如缺肥、缺水、病虫害、杂草），指导精准变量施肥或植保作业。

v1.12.0

Publish, schedule, and manage social media posts across Twitter/X, Facebook, Instagram, LinkedIn, TikTok, and YouTube. Content calendar with gap analysis, A/B testing, engagement inbox, AI content repurposing, optimal timing suggestions, auto-scheduling, UTM tracking, and platform-native AI-content disclosure labels.

v0.1.2

Earn and spend Nano (XNO) with other agents. A directory of services that take Nano over HTTP 402, each verified by a real payment; a wallet that needs only a seed and HTTPS, no node; a public x402 facilitator for selling; and the ways an agent gets its first Nano. Use when an API answers 402 with a nano_ address, when you want to sell a service for Nano, when you need a Nano wallet without running a node, or when asked where Nano can be spent or earned.

v0.1.0

Enter Robotania, the on-chain arena where AI agents debate, play board games, back sides and judge disputes. Start free in Practice arenas against official AI opponents.

v1.0.11

Triggers when a user provides a full-body image/video of a pet (multi-angle preferred) for analysis; supports local uploads or network URLs to call server-side APIs for breed/body-type recognition and fur-density estimation (sparse / medium / dense), then outputs a recommended drying temperature curve (temperature in ℃ + time in minutes) for personalized care to reduce scald risk (not a medical recommendation). Application scenarios: pet drying boxes, pet grooming salons, smart pet care devices. | 当用户提供宠物全身图像/视频（多角度最佳）时，触发本技能进行品种识别与毛发密度估算（稀疏/中等/浓密），输出个性化烘干温度曲线（温度 ℃ + 时长 分钟）参数，实现个性化护理，减少烫伤风险（不提供医疗建议）。应用场景：宠物烘干箱、宠物美容店、智能宠物护理设备。

v1.0.2

Put your OpenClaw agent on the PowPow map as a chat-capable digital human. Register/login, create map digital humans, manage badges & subscription, chat with map visitors, and install the PowPow channel plugin for always-on agent presence. Communication, messaging, digital human, map chat.

v2.0.134

中国大陆AI保险顾问。为个人和家庭提供全方位的保险咨询、产品对比、方案设计、投保指导。当用户询问保险配置、保险方案、产品对比、重疾险/医疗险/寿险/意外险/储蓄险推荐、保费计算、保障缺口分析、需求分析、核保合规、理赔等问题时使用。

v2.99.99

AI时代职业规划师技能。专为AI时代职场变化而设计，帮助用户应对AI带来的职业冲击与机遇。当用户询问职业规划、职业建议、选专业、职场转型、未来就业方向时触发。功能包括：收集用户基本信息、霍兰德职业兴趣测评、职业价值观分析、AI时代职业影响评估（高危/中危/低危分级），并输出完整的个性化职业规划报告。关键词：职业规划、选专业、工作建议、做什么工作好、职业转型、AI时代职业、AI替代、哪些工作会被AI取代。

v2.2.448

AI时代职业规划师技能。专为AI时代职场变化而设计，帮助用户应对AI带来的职业冲击与机遇。当用户询问职业规划、职业建议、选专业、职场转型、未来就业方向时触发。功能包括：收集用户基本信息、霍兰德职业兴趣测评、职业价值观分析、AI时代职业影响评估（高危/中危/低危分级），并输出完整的个性化职业规划报告。关键词：职业规划、选专业、工作建议、做什么工作好、职业转型、AI时代职业、AI替代、哪些工作会被AI取代。

v2.0.120

中国大陆保险顾问。本 skill 仅覆盖 6 项实际实现的能力：保险需求分析（needs_analyzer.py）、产品对比（premium_calculator.py + 本地 products.json）、保费计算（premium_calculator.py）、方案设计（plan_designer.py）、保险知识问答（insurance-knowledge.md）、合规要点提示（compliance.md）。不提供核保预审、理赔代办、朋友圈/营销文案生成、培训话术、代理人展业工具等能力——这些场景请转人工或调用专业服务。

v1.0.12

AI-powered plant leaf disease identification from high-resolution leaf images. Detects disease lesion features (color, shape, distribution, surface deposits) such as white powdery patches (powdery mildew), rust-colored spore pustules (rust), brown necrotic spots (leaf spot), and outputs the most likely disease type with confidence score. Helps users quickly diagnose plant diseases and take timely measures. Scenarios: plant factories, greenhouses, home gardening, farm inspection. | 通过拍摄植物叶片的高清图像，利用AI视觉分析技术识别叶片上的病斑特征（颜色、形状、分布），检测是否有白色粉状物（白粉病）、锈色孢子堆（锈病）、褐色坏死斑（叶斑病）等典型症状，输出最可能的病害类型及置信度。帮助用户快速诊断植物病害，采取防治措施。应用场景：植物工厂、温室大棚、家庭盆栽、园艺养护。

v2.1.0

全AI Agent通用恋人主题陪伴技能。当用户提及恋人、男/女朋友、情感陪伴、人设配置、角色扮演、情感对话，或使用本Skill的标准化触发指令时激活。提供多轮情感对话、用户自定义人设配置、长时记忆存储、情绪识别与反馈、预设人设模板套用、配置导入导出等完整恋人伴侣交互能力。即插即用，兼容所有主流AI Agent框架。

v2.0.3

Compose MeiGen image/video and five dedicated image tools inside an existing workflow, or opt into creative planning. Preserves caller prompts, parameters, approved count and budget; includes discovery and recoverable task handles.

v6.0.0

Self-hosted AI platform — one `docker-compose up`, one OpenAI-compatible endpoint at http://localhost:4000. Bundles inference (Groq/Cerebras/OpenRouter/HuggingFace/Mistral/Cohere/Ollama/vLLM/llama.cpp/claudebox/pibox-zai/Anthropic/OpenAI), MCP tool use, a stealth browser cluster, image generation (FLUX/DALL-E/SD), speech synthesis (Kokoro/Qwen3-TTS/Chatterbox/OpenAI TTS), transcription (Whisper/Parakeet), S3-compatible object storage, agentic code execution (Claude Code + pi-coding-agent + sandboxed piston), web search (SearXNG), an email gateway (mailbox), a Telegram client (Telethon), time-series forecasting + tabular ML (predictalot), audio/video production (audiolla/flickies), an async job queue (proxq), and a web UI (LibreChat) — all reachable through one bearer token and automatic per-model fallback routing. Use when the user wants a one-command self-hosted OpenAI-compatible stack that aggregates many providers/tools behind a single endpoint instead of wiring each service up individually.

v1.2.6

Search local documents, files, notes, and knowledge bases. Index directories, search with BM25/vector/hybrid, get AI answers with citations. Use when user wants to search files, find documents, query notes, look up information in local folders, index a directory, set up document search, build a knowledge base, needs RAG/semantic search, wants to start a local web UI for their docs, or asks what was said in past coding-agent sessions.

v8.1.16

Governed tool access for AI agents — one Danube API key unlocks your organization's own tools plus a large, growing catalog of services, over MCP or curl, with confirmation before anything that writes, sends, spends, or deletes.

v8.1.16

Governed tool access for AI agents — one Danube API key unlocks your organization's own tools plus a large, growing catalog of services, over MCP or curl, with confirmation before anything that writes, sends, spends, or deletes.

v0.19.25

元阁 -- 元阁全家技能的总编排策划 + 编排路由 + 一键安装器 + 技能盘点 + 运行时 hook 适配。路由层：--route / route_request 按需求摘要给出候选组合、调用顺序、角色、置信度、依据、已装/缺失状态与安装命令，只建议不自动安装；非元阁家族已装技能按 frontmatter description 机械匹配作并列候选（标注来源与未扫描状态，只读不自动调用）；策划层：按场景给出「该组合哪几个元技能、组合强在哪、怎么组合使用（安装与调用均由用户确认后执行）」；安装层：一条命令把 YottaMeta 已发布的全部 yotta-* 技能装进指定智能体或目录（默认 --pin 锁死清单精确版本）；盘点层：--inventory / --reindex 扫描本机已装技能生成/更新注册表，新装技能自动被发现（install/update 后自动 re-index，会话开工只建议跑本地 --reindex；更新检查走手动 --check 或后台 --check --scheduled）；运行时适配层：hook capabilities / evaluate / bind / unbind 按宿主能力矩阵执行六个统一事件并留证降级，元信 before_install 已接入安装管线；自包含零依赖，不依赖任何元技能；MCP 按需加载且需用户确认后写入配置（可选：list_installed_skills/describe_skill/reindex/route_request，不常驻，未加载降级 CLI）。支持 --list 清单 / --route 路由 / install / update / update --check（只读检查）/ update --check --scheduled（后台周检）/ update --auto（家族自动更新）/ hook 适配 / --inventory / --reindex / --dry-run 预览 / --pin（默认）/ --range。触发：需要批量安装或更新元阁全家技能、按场景组合多个元技能、路由或判断该用哪些技能、盘点或查看本机已装技能、重扫技能注册表、给某个智能体或目录一次性铺齐 yotta-* 技能、评估宿主 hook 能力、预览安装清单、锁版本安装、或用户说 元阁/装全家/一次装齐/yotta-skills/install-all/更新全家/检查更新/自动更新/hook 适配/该用哪个技能/路由技能/盘点技能/查看已装技能 等。边界（Do NOT trigger）：只做「组合策划 + 静态路由建议 + 清单 + 下载 + 落位 + 汇总 + 盘点 + re-index + hook 适配」，不含技能本体、不做技能内容开发、不 -g 污染全局、不自动安装缺失技能、不静默写宿主配置或全局记忆；家族安装先自举或调用元信装前门禁，DO NOT INSTALL 阻断，非元阁家族包不自动安装。

v0.18.0

智能体记忆库（元忆）—— AI记忆系统：面向 AI 智能体的长期记忆、永久记忆与记忆引擎，跨会话上下文随时恢复，开工回忆、重要信息落盘、收工归档；语义检索 + 权限边界，零依赖，可 diff/回滚。

v1.0.1

提供维普、知网、万方报告的官方验真图文教程

v1.0.1

知网/维普/万方论文查重计数与网站引导

v1.0.11

AI-powered plant nutrient deficiency diagnosis from leaf images. Detects leaf color, morphology changes (pale green/yellow-green/purple-red, marginal scorch, interveinal chlorosis) via computer vision, matches against common deficiency symptom databases, and outputs the most likely deficient nutrient element (nitrogen, phosphorus, potassium, iron, magnesium, zinc, etc.) with confidence score. Enables precision fertilization, avoids blind over-fertilization. Scenarios: smart planters, home gardening, agricultural greenhouses, plant factories. | 通过智能花盆、农业大棚或手机拍摄的植物叶片高清图像，利用AI视觉分析技术识别叶片颜色、形态变化（如叶色浅绿/黄绿/紫红、叶缘焦枯、叶脉间失绿等），与常见营养缺乏症特征库比对，输出最可能缺乏的营养元素（氮、磷、钾、铁、镁、锌等）及置信度。有助于精准施肥，避免盲目用肥造成浪费或伤害。应用场景：智能花盆、家庭园艺、农业大棚、植物工厂。

v1.0.3

把自己公众号后台的读者留言/评论批量导出为本地 Markdown——官方后台「留言管理」按文章分组全量读取、作者/内容/时间/地区完整字段、纯本地运行、全程只读。由 webclaw3 驱动（复用你已登录的 Chrome，无需填任何 token/cookie）。触发场景：想把公众号后台的留言、读者评论批量存下来做归档/精选整理/读者反馈分析时使用（只支持自己的公众号，后台登录的那个号）。

v1.0.0

Use when you work nights, rotating shifts, or on-call and your body has no idea when to sleep — generates shift-specific sleep schedules from circadian science: forward-rotation adaptation plans (phase delay is easier than advance), anchor-sleep windows for rapidly rotating schedules, strategic caffeine cutoffs timed to shift end not start, light/dark exposure choreography (bright light during night shifts, dark commute home, blackout sleep), clock-shift transition plans for switching between day and night blocks, drowsy-drive risk warnings on post-shift commutes, and shift-work disorder screening flags — because 20 percent of the workforce does shift work and gets told to just sleep more.

v1.0.19

Researches public LinkedIn company, product, and showcase pages via the Crawlora API. Look up known IDs or discover and search the public product directory by keyword or category. Does not access personal profiles or private content.

v1.0.0

Use when a company wronged you and the support chat is going nowhere — builds escalation-aware complaint letters from incident timelines, with the three leverage multipliers consumers never use: regulator escalation ladders (who actually fears which regulator per industry and country), statutory refund rights (consumer protection timelines that turn 'policy' into 'law'), and public-review detonation sequencing (when a CEO email or review-site blast is optimal vs premature). Tracks each complaint as a case with a follow-up cadence so claims die of neglect never.

v1.0.0

Use when someone dies or downsizes and the family objects need their stories captured before the people who know them are gone — structured provenance registry for heirlooms (origin, owner chain, story, appraisal, photo refs, audio-interview transcripts), provenance question scripts for interviewing elderly relatives before it is too late, estate-ready provenance reports for executors and appraisers, printed heirloom labels/tags with QR codes linking to the full record, and fairness tools for distribution (wish-list matching and rotation drafting) so the division of objects does not destroy the family.

v1.0.0

Use when you want to learn or change a repeated motor sequence — a new phone pattern-lock, a keyboard shortcut chain, a piano riff, a controller combo, a keypad PIN under fingers not eyes — with spaced repetition, interference drills (old habit vs new), and per-transposition error tracking. Models the forgetting curve, schedules micro-sessions (60-90 seconds), and knows the three real failure modes: unused transpositions, alternation interference from an old pattern, and speed before accuracy.

v1.0.0

Use when a cohabiting relationship is ending and two lives must be untangled — shared-catalog splitting (who keeps what, who owes what), shared subscription/account/service audit with per-item transfer-or-cancel actions, moving-out logistics with handoff handoff and key return, split-expense reconciliation (who owes whom the final settle-up), and a clean named-account inventory (bank, utilities, streaming, insurance, domain names) so nothing stays joint by accident. Handles the object with the worst possible emotional loading: the shared life.

v1.0.0

按业务语义选择并生成组织、流程、进度等图形

v2.9.0

Use when behavior-preserving frontend refactoring focuses on function API shape, flags, dependencies, mutability, construction, or command/function trade-offs, and the selected technique needs family-specific mechanics, risks, and JavaScript/TypeScript/React/Vue adaptation.

v1.0.28

Fetches structured public web data via the Crawlora REST API — search engines, e-commerce, social, finance, maps, app stores, media, and reviews — returning clean JSON instead of HTML. Use whenever the user needs real data from a public website (prices, listings, reviews, transcripts, SERPs, trends, financials, places) and would otherwise have to scrape or parse HTML.

v2.9.0

Use when restructuring existing frontend code while preserving observable behavior, including responsibility extraction, module movement, conditional simplification, API cleanup, or data organization. Do not use for new feature behavior, behavior-changing bug fixes, dependency or framework migration

v2.9.0

Use when safely removing dead frontend code, unused exports, stale components, obsolete routes, unused dependencies, or cleanup targets found by tools such as knip, depcheck, ts-prune, TypeScript, ESLint, or manual review. Do not use for feature rewrites that change behavior; Chinese triggers includ

v1.0.14

Researches global news and US television coverage via the Crawlora API — GDELT web-news search/context/timeline/sentiment, plus GDELT Television 2.0 AI's index of US TV transcripts, captions, on-screen text, and visual labels — returning clean JSON. Use when the user wants coverage-volume or sentiment trends over time, cross-outlet news search, sentence-level co-occurrence search, or what US TV news said/showed about a topic — OSINT, media-monitoring, and political/social-science research.

v1.0.4

Builds source-aware news briefings from GDELT, BBC, CNN, The Guardian, and Yahoo News using the Crawlora API. Use for recent headlines, topic monitoring, source comparison, and coverage timelines with links, dates, and uncertainty preserved.

v1.0.19

Researches movies and TV shows — metadata, cast/crew, ratings, reviews, streaming availability, and box-office performance — via the Crawlora API across IMDb, TMDB, JustWatch, Letterboxd, Rotten Tomatoes, Metacritic, and Box Office Mojo, returning clean JSON. Use when the user asks about a title's cast, ratings/scores, where to stream it, critic or user reviews, or its box-office numbers.

v1.0.4

Researches movies and TV titles across IMDb, TMDB, JustWatch, Rotten Tomatoes, and Metacritic using the Crawlora API. Use for title discovery, cast and crew, ratings, critic and audience reviews, streaming offers, similar titles, and release comparisons.

v2.9.0

Use when adding or reviewing Progressive Web App capabilities such as installability, manifest metadata, Service Worker registration, Workbox caching, offline fallback, app update prompts, maskable icons, or iOS PWA compatibility. Do not use for general API caching or non-installable performance tun

v2.9.0

Use when creating or reviewing Nuxt 3 projects, file routes, pages, layouts, SSR/SSG/SPA behavior, Nuxt data fetching, route middleware, plugins, modules, server routes, or Nuxt-specific Vue 3 conventions. For generic Vue component architecture, apply the project's Vue conventions separately; Chines

v2.9.0

Use when creating or reviewing Next.js 14+ App Router projects, file routes, layouts, server/client component boundaries, SSR/SSG/ISR, streaming, metadata, middleware, server actions, or Next-specific data fetching. For generic client React component architecture, apply the project's React conventio

v2.9.0

Use when designing, implementing, or reviewing frontend interaction motion, page transitions, scroll animation, Framer Motion, GSAP, Lottie, CSS animation, motion intensity, animation performance, reduced-motion behavior, or cinematic but accessible UI motion. Do not use for SVG-only path drawing, C

v1.0.2

Compare luxury resale listings and sales

v1.0.18

Researches independent Shopify-powered storefronts — products, collections, pages, sitemaps, search suggestions, and product recommendations — using the Crawlora API, returning clean JSON for any store by domain, plus 14 pre-wired DTC brand storefronts (Allbirds, Brooklinen, Cole Haan, Everlane, Fashion Nova, Gymshark, J.Crew, Kylie Cosmetics, Oh Polly, Quince, Rothy's, SKIMS, Steve Madden, The Body Shop). Use when the user asks to audit a Shopify store's catalog, crawl its sitemap, look up a product or collection, or pull search/recommendation data — instead of scraping the store's pages directly.

v2.9.0

Use when creating, reviewing, or restructuring frontend monorepos with pnpm workspace, Turborepo, Nx, multi-package dependency boundaries, task orchestration, package naming, or package publishing; Chinese triggers include monorepo, workspace, multi-package.

v2.9.0

Use when optimizing or reviewing large lists, virtual scrolling, windowing, react-window, TanStack Virtual, variable-height rows, dynamic measurement, infinite scroll, grid virtualization, or scroll performance; Chinese triggers include virtual lists, large list optimization, scroll performance.

v1.9.12

Release engineering for zero-dependency Python CLI agent skills: releaser.py validates publish-readiness (a 0-100 score with real functional checks that actually boot your CLI), inventory/gap market intelligence, scaffold, CI, LICENSE(MIT-0), marketplace publish, readiness badge, and chain-propagation tooling. Pre-publish checklist, skill publish checklist, "is my skill ready to publish?", "what am I missing before I push this skill to GitHub?", audit skill against Agent Skills spec, fix LICENSE shows Other, pytest exit code 2, CI keeps failing, ClawHub/SkillHub/agentskills.io publish guide, skill discoverability, quality gate. 把"以 Python CLI 形式交付的 WorkBuddy 技能做成可发布项目并上架"的全流程固化。 核心是零依赖 releaser.py：validate 主动扫描发布陷阱并给 0-100 就绪分（含★功能级验证真跑 CLI）、 inventory 治理本机技能、gap 市场缺口、selfcheck 零依赖、scaffold 起项目、bump 升版本、 release 推送(需--push)/发布(需--publish)、badge 链回徽章（便于引用致谢）、promote 发布说明工具箱、 diagnose 长尾诊断（症状→根因→修复）、preflight 市场定制上架清单。 当用户说"构建/发布技能""技能上架""发布技能""publish skill""上架 skill""技能发布前检查清单" "校验技能能不能发""技能质量门禁""skill CI gate""LICENSE 显示 Other""CI 一直红""pytest exit code 2" "零依赖 Python 工具""技能搜不到"时触发。 本技能是 skill-creator（写技能）的**发布阶段搭档**：它管"写好"，本技能管"发出去 + 懂市场 + 帮你被找到 + 链回致谢"。

v2.9.0

Use when maintaining or safely modifying existing non-framework frontend code: vanilla JavaScript, jQuery, HTML/CSS, MPA pages, server-rendered templates, legacy plugins, or long-lived code that should stay in its current stack. Use migration skill when planning a move to React/Vue/TypeScript; Chine

v2.9.0

Use when planning or implementing an intentional migration from JavaScript, jQuery, HTML/CSS, server-rendered templates, MPA legacy frontend code, or older framework code toward a modern frontend stack while preserving behavior. Do not use for routine legacy bug fixes that stay in the old stack; Chi