AGENT SKILLS · MISSION KIT
Useful agent skills ranked by real adoption
Browse verified skills from public repositories. Compare what each skill does, package contents, install activity, and source evidence before adding it to your agent.
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- last synced
- Oct 24, 2026
androidtesting-setup
Analyze and create a testing strategy for Android apps - install testing libraries, set up test infrastructure, create harnesses for unit tests, UI tests, screenshot tests, and end-to-end tests.
- installs
- 1
- GitHub stars
- 9.2K
- Updated
- Oct 21
androidverified-email
Provides a complete workflow for implementing verified email retrieval on Android Credential Manager API. Use this skill to integrate a secure, OTP-less email verification flow into an Android app. This skill solves the problem of high-friction sign-up processes by leveraging cryptographically verified credentials from trusted providers like Google.
- installs
- 1
- GitHub stars
- 9.2K
- Updated
- Oct 21
androidwear-compose-m3
Guidance for Wear OS Compose Material3 (Wear Compose Material 3 / Wear Compose Material3) watch and wearable apps. Covers creating, updating, and migrating projects (Material 2.5 and Horologist migration) using androidx.wear.compose.material3, androidx.wear.compose.foundation, and androidx.wear.compose.navigation3, including AppScaffold, ScreenScaffold, TransformingLazyColumn, ambient mode, and previews.
- installs
- 1
- GitHub stars
- 9.2K
- Updated
- Oct 21
eternityspringcharacter-refs
给任何故事里的角色真出参考图（小说改编、自己原创的故事、单独设计一个角色都行，不需要小说原文）： 一段话描述角色，拆成分层字段、补全后确认， 先出一张正面全身锚点，其余视图（大头照、90° 侧面、背面、细节、45° 大头照）都只参考这张锚点， 按需分档出图。每张图带标识、可单独重出，重出后自动标出哪些图过期。 支持 Qwen Image（ComfyUI）、codex 内置出图、OpenAI Images API（GPT Image 2）和自定义命令，主图与派生图可以使用不同模型。 产出 asset.json + 一组 PNG + 双击就能开的报告。零依赖。 只要提示词、不出图的话使用 novel-characters。 Use when asked to 出角色图、做角色参考图、给我的角色出图、定妆照、真出三视图、character reference images。
- installs
- 1
- GitHub stars
- 5K
- Updated
- Oct 15
eternityspringnovel-art
给 AI 短剧出美术设定集（场景 + 叙事道具）：场景的设计意图、一致性锚点、光照时段变体、 空景提示词；道具的戏剧功能、状态变体、尺度参照、白底无手提示词。 产出 art.json + Markdown + 单页评审报告（含导出 JSON）。 为 AI 生成而设计，不是实拍——环境和道具都是生成资产，交付的是让它们跨集长一样的一致性方案； 10 道质量门全部由脚本确定性检查（锚点 3–5、无人无手、白底可抠、尺度短语、提示词英文……）。 有 novel-outline 的 outline.json 就用 seed 预填场景清单与出现集。 零依赖、零 API key、不出图——交付的是提示词，出图在下游。 Use when asked to 场景设定、出场景、环境设定集、场景一致性、scene bibles for AI short drama。
- installs
- 1
- GitHub stars
- 5K
- Updated
- Oct 15
eternityspringnovel-characters
从小说或短故事里拆出角色表、人物画像、形象提示词、音色提示词， 其中形象提示词含一张角色设定图的完整版面指令（左半身像 + 右全身三视图 + 细节条）， 产出 JSON + Markdown + 可交互的 report.html。 报告语言可指定（--lang），默认中文，任意语言都支持；零依赖、零 API key、不出图。 Use when asked to 拆小说角色、分析人物、生成角色卡、character sheets from a novel。
- installs
- 1
- GitHub stars
- 5K
- Updated
- Oct 15
eternityspringnovel-outline
把一本小说改编成短剧大纲五件套：改编说明、人物表、爽点表、分集梗概、资产清单， 产出 outline.json + Markdown + 单页评审报告（KPI 带、关键决策、爽点时间轴、调度矩阵、场景概览、质量门）。 14 道质量门全部由脚本确定性检查（角色分档上限、主场景上限随集数动态、爽点间隔≤3集、每集钩子悬念必填……），不靠模型自觉； 支持体检模式：贴一份现成大纲进来，只跑质量门给诊断。 零依赖、零 API key，用当前会话额度。 Use when asked to 改编大纲、短剧大纲、拆大纲、小说转短剧、adaptation outline。
- installs
- 1
- GitHub stars
- 5K
- Updated
- Oct 15
eternityspringnovel-script
给 AI 短剧写剧本：把 novel-outline 的分集梗概落成结构化的场次 + 节拍流（动作节拍与台词行交替）， 台词逐句带说话人与语气，时长逐集按语速确定性折算。产出 script.json + Markdown + 单页评审报告 （时长仪表 / 分集剧本 / 场次总表 / 按角色聚合的台词本，含导出 JSON）。 剧本管戏，分镜管拍——本 skill 不分镜头、无镜号、不写生成提示词，那些是下一层分镜 skill 的活。 10 道质量门全部由脚本确定性检查（每集时长 ±15%、单句 ≤35 字、说话人合法、钩子悬念落纸、 钩子具象前 3 拍内兑现（hookBeat 认领冷开场）、每场至少一个动作节拍、爽点认领、 角色/场景/光照/道具对账上游……）。 有 outline.json 就用 seed 预填每集骨架；给 --art 连光照状态一起对账。 零依赖、零 API key，用当前会话额度。 Use when asked to 写剧本、出剧本、台词、场次、写戏、screenwriting for AI short drama。
- installs
- 1
- GitHub stars
- 5K
- Updated
- Oct 15
eternityspringnovel-staging
给 AI 短剧的每一场排开场站位：先从场景图里认出能站能坐的东西（推算到俯视平面上）， 再按剧本给每一场排谁在哪件东西的哪一侧、坐还是站、面朝哪、有没有群演， 程序写出每一场的开场走位句，分镜这一场第一段照抄它。 默认交付能拖动调整站位的 HTML 工具报告，页面内可导出 staging.json；JSON 同时作为工作数据保存，Markdown 按需导出。 8 道质量门全部由脚本确定性检查（认图件数、东西在图上、出场人物不多不少、在场的人落在认出来的东西上、 同一侧不叠人、群演写明在哪……）。吃 novel-script 的 script.json 和 novel-art 的 art.json 预填骨架。 零依赖、零 API key。 Use when asked to 站位、开场站位、群戏站位、谁坐在哪、排座位、走位、blocking、staging for AI short drama。
- installs
- 1
- GitHub stars
- 5K
- Updated
- Oct 15
scrapecreatorsad-library-teardown
Use when the user wants to analyze active ads from Meta/Facebook, Google, or LinkedIn ad libraries; tear down a competitor's messaging; extract hooks, offers, CTAs, video transcripts, landing page claims, and test ideas from public ads.
- installs
- 1
- GitHub stars
- 4.5K
- Updated
- Aug 26
scrapecreatorsaudience-research
Use when the user wants to evaluate a creator, influencer, or brand audience using public profile signals, TikTok audience demographics, follower/following data, comments, geography, language, and content fit. Helps judge sponsorship and market fit.
- installs
- 1
- GitHub stars
- 4.5K
- Updated
- Aug 26
scrapecreatorscomment-mining
Use when the user wants to mine comments and replies for audience reactions, customer language, questions, objections, complaints, product ideas, buying intent, sentiment, or voice-of-customer insights from public social posts and videos.
- installs
- 1
- GitHub stars
- 4.5K
- Updated
- Aug 26
scrapecreatorscompetitor-social-research
Use when the user wants to research competitors' social media strategy, compare brands or creators, find what content is working in a niche, identify content gaps, or produce a practical social strategy brief from public social data.
- installs
- 1
- GitHub stars
- 4.5K
- Updated
- Aug 26
scrapecreatorscontent-repurposing
Use when the user wants to turn public social videos, transcripts, posts, or creator research into reusable content assets such as LinkedIn posts, X threads, short-form scripts, newsletters, blog outlines, carousels, or content calendars.
- installs
- 1
- GitHub stars
- 4.5K
- Updated
- Aug 26
scrapecreatorscreator-profile-teardown
Use when the user wants to analyze a creator, influencer, founder, or brand social account and understand positioning, content pillars, outlier posts, hooks, format choices, audience reaction, and what can be copied or tested.
- installs
- 1
- GitHub stars
- 4.5K
- Updated
- Aug 26
scrapecreatorsoutlier-post-finder
Use when the user wants to find posts, videos, reels, shorts, tweets, or social content that overperformed versus a creator, brand, or competitor baseline. Finds outliers, explains why they worked, extracts hooks and formats, and produces a practical swipe file.
- installs
- 1
- GitHub stars
- 4.5K
- Updated
- Aug 26
scrapecreatorsproduct-demand-research
Use when the user wants to validate a product idea, find pain points, mine demand signals, discover objections, or gather voice-of-customer language from Reddit, social posts, video transcripts, and comments. Produces evidence-backed product research.
- installs
- 1
- GitHub stars
- 4.5K
- Updated
- Aug 26
scrapecreatorssocial-listening-brief
Use when the user wants a social listening report about what people are saying about a brand, person, product, topic, category, or niche across public social platforms. Produces cited themes, sentiment caveats, notable posts, and recommended actions.
- installs
- 1
- GitHub stars
- 4.5K
- Updated
- Aug 26
scrapecreatorstranscript-intelligence
Use when the user wants to summarize, analyze, or repurpose transcripts from TikTok, Instagram, YouTube, Facebook, X/Twitter, LinkedIn, Rumble, or Reddit video posts. Extracts hooks, claims, quotes, content atoms, themes, and reusable scripts.
- installs
- 1
- GitHub stars
- 4.5K
- Updated
- Aug 26
dexhunterseedance-prompt-zh
为即梦 Seedance 2.0 多模态AI视频生成模型撰写高质量提示词。当用户需要使用文本、图片、视频、音频等多模态输入创作视频提示词时触发。涵盖@引用语法、运镜复刻、特效模仿、视频延长、视频编辑、音乐卡点、电商广告、短剧创作、科普教育等场景。
- installs
- 1
- GitHub stars
- 4.3K
- Updated
- Sep 19
zju-realcopywriting
国内带货转化营销文案：提炼卖点并产出种草、信息流广告、活动促销、电商详情页或落地页的标题、正文和 CTA。 当用户说“写种草/广告/活动/促销/详情页/落地页文案、提炼卖点、广告语”时使用。 整套小红书笔记用 xhs-note-creator；涨粉互动内容用 social-content；严格套 PAS/AIDA 等框架用 post-formatter。
- installs
- 1
- GitHub stars
- 4K
- Updated
- Oct 21
tradermontyfinviz-screener
Build and open FinViz screener URLs from natural language requests. Use when user wants to screen stocks, find stocks matching criteria, filter by fundamentals or technicals, or asks to open FinViz with specific conditions. Supports both Japanese and English input (e.g., "高配当で成長している小型株を探したい", "Find oversold large caps with high ROE").
- installs
- 1
- GitHub stars
- 3.2K
- Updated
- Oct 20
tradermontymarket-breadth-analyzer
Quantifies market breadth health using TraderMonty's public CSV data. Generates a 0-100 composite score across 6 components (100 = healthy). No API key required. Use when user asks about market breadth, participation rate, advance-decline health, whether the rally is broad-based, or general market health assessment.
- installs
- 1
- GitHub stars
- 3.2K
- Updated
- Oct 20
tradermontyvcp-screener
Screen S&P 500 stocks for Mark Minervini's Volatility Contraction Pattern (VCP) and detect historical VCPs in a single ticker's price path. Identifies Stage 2 uptrend stocks forming tight bases with contracting volatility near breakout pivot points; in historical single-ticker mode walks a multi-year history and emits every VCP that formed with forward-outcome stats (breakout / stop-hit / timeout). Use when user requests VCP screening, Minervini-style setups, tight base patterns, volatility cont
- installs
- 1
- GitHub stars
- 3.2K
- Updated
- Oct 20