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実際に使われている Agent Skills。
公開リポジトリの検証済み Skills を比較し、機能、内容、導入状況、出典を確認してから追加できます。
- 掲載範囲
- 検証済み
- Skills
- 5,771
- リポジトリ
- 824
- 最終同期
- 2026/09/08
gamedev-skillsgame-jam
Plan and ship a game under a jam deadline: lock scope to the clock, schedule the hours, cut features, and submit on time. Use for a game jam (Ludum Dare, GMTK Jam, Global Game Jam), a 48-hour or weekend build, or scoping and submitting a jam entry.
- 導入数
- 3
- GitHub Stars
- 874
- 更新日
- 8月24日
gamedev-skillsinput-systems
Architect game input — action mapping (abstracting keys into named actions), rebinding with conflict detection and persistence, multi-device support (keyboard, gamepad, touch), analog deadzones, and feel features like input buffering and coyote time, plus accessibility. Engine-neutral. Use when the user mentions input mapping, rebind controls, gamepad support, deadzone, input buffering, coyote time, or accessible controls.
- 導入数
- 3
- GitHub Stars
- 874
- 更新日
- 8月24日
gamedev-skillsperformance-optimization
Find and fix game performance problems methodically — measure with the engine profiler first, reason about the frame-time budget, locate the CPU-vs-GPU bottleneck, then apply the right fix: object pooling, draw-call batching, fewer allocations/GC spikes, and asset budgets. Engine- neutral method that pairs with each engine's profiler. Use when the user mentions performance, optimize, low/dropping FPS, frame drops, stutter, lag, profiler, frame budget, draw calls, batching, garbage collection/GC spikes, object pooling, or "the game runs slow".
- 導入数
- 3
- GitHub Stars
- 874
- 更新日
- 8月24日
gamedev-skillsphysics-tuning
Tune game physics for stable, good-feeling motion — fixed vs variable timestep, render interpolation, mass/gravity/drag, continuous collision detection (CCD) to stop tunneling, fixing jitter, and collision layers/masks. Engine-neutral. Use when the user mentions physics feel, jitter, tunneling, fixed timestep, FixedUpdate, CCD, bouncing/unstable physics, or collision layers.
- 導入数
- 3
- GitHub Stars
- 874
- 更新日
- 8月24日
gamedev-skillspuzzle
Build a puzzle game: grid/board state, move input, rule-based resolution (match-3 cascades, sokoban pushes, tile logic), scoring, and undo. Use for a match-3, sokoban, or grid-logic puzzle.
- 導入数
- 3
- GitHub Stars
- 874
- 更新日
- 8月24日
gamedev-skillsrouter
Routes any game-development request to the right specialized skill(s): it detects the engine (Godot, Unity, Unreal, Bevy, Phaser, PixiJS, three.js, LÖVE, pygame, Roblox) and the task, then reads the chosen skill before acting. Use to make a game or to decide which skill applies — for players, levels, enemies, shaders, art direction, sprites, tiles, textures, 3D assets, UI/UX, cameras, game feel, physics, input, audio, saving, multiplayer, AI, dialogue, procedural generation, or performance, for genres (platformer, roguelike, RPG, FPS, tower-defense, card game, visual novel, survival-crafting, puzzle), and for shipping (game jam, Steam, itch). Start here when unsure which gamedev skill to use.
- 導入数
- 3
- GitHub Stars
- 874
- 更新日
- 8月24日
gamedev-skillsshader-programming
Write game shaders from cross-engine fundamentals — the vertex→fragment pipeline, coordinate spaces, UV math, and common 2D/3D effects (tint, UV scroll, dissolve, outline, fresnel rim, vignette) in GLSL with HLSL equivalents. Use when the user mentions shaders, fragment/pixel shader, vertex shader, UV, GLSL, HLSL, or effects like dissolve, outline, or rim light.
- 導入数
- 3
- GitHub Stars
- 874
- 更新日
- 8月24日
alibabaskill-upper
Create, run, diagnose, and iteratively improve Agent Skill evaluations (evals) with the skill-up CLI / 使用 skill-up CLI 创建、运行、诊断并持续改进 Agent Skill 评测. Use when the user asks to evaluate, test, regress, verify, fix, improve, iterate, or evolve a Skill; add or strengthen eval cases; write eval.yaml/case.yaml; run skill-up run/validate/list-cases/report/import/init; or migrate from Anthropic evals.json. Handles Skill discovery, eval scaffolding, judge authoring, validation, runs, reports, and evidence-based repair loops.
- 導入数
- 3
- GitHub Stars
- 867
- 更新日
- 9月8日
claude-office-skillsppt-visual
Design presentation visuals and slide layouts. Create visual concepts, suggest graphics, and provide design specifications for impactful PowerPoint slides.
- 導入数
- 3
- GitHub Stars
- 452
- 更新日
- 1月31日
benciumbencium-controlled-ux-designer
Expert UI/UX design guidance for unique, accessible interfaces. Use for visual decisions, colors, typography, layouts. Always ask before making design decisions. Use this skill when the user asks to build web components, pages, or applications.
- 導入数
- 3
- GitHub Stars
- 420
- 更新日
- 8月30日
obrawriting-clearly-and-concisely
Apply Strunk's timeless writing rules to ANY prose humans will read—documentation, commit messages, error messages, explanations, reports, or UI text. Makes your writing clearer, stronger, and more professional.
- 導入数
- 3
- GitHub Stars
- 560
- 更新日
- 8月12日
wind-information-co-ltdwind-alice
调用万得 Alice Agent（A2A 协议，SSE 流式）执行指定 Skill 并获取分析结果的 CLI 工具。当用户要求"用 Alice 跑某个 Skill"、"出一份某公司的调研问题清单"、"做一页纸投资备忘"、"核验一段金融信息"等需要点名 Alice 子 Skill 的场景使用。
- 導入数
- 3
- GitHub Stars
- 101
- 更新日
- 9月8日
longbridgelongbridge-earnings
Earnings analysis — pre- and post-earnings. Pre-earnings preview: prior-guidance review, recent-events tracking, last call's Q&A, and a key-things-to-watch framework for an upcoming release. Post-earnings: two tiers — a fast in-chat summary card (default) and a full Markdown research report (on request). Covers beat/miss, segments, margins, guidance, estimates, valuation. US / HK / A-share. Use whenever the user wants an earnings preview or a post-earnings / quarterly-results writeup. Triggers: "earnings update", "quarterly results", "Q1/Q2/Q3/Q4 results", "earnings report", "post-earnings analysis", "beat/miss", "guidance update", "earnings preview", "pre-earnings", "what to watch this earnings", "before earnings", "财报分析", "业绩更新", "季度业绩", "季报", "年报", "盈利分析", "财报点评", "财报前瞻", "业绩前瞻", "财报预览", "上季度指引", "財報分析", "業績更新", "季度業績", "季報", "年報", "財報點評", "財報前瞻", "業績前瞻", "財報預覽".
- 導入数
- 3
- GitHub Stars
- 58
- 更新日
- 8月27日
longbridgelongbridge-portfolio
Account assets, equity and fund positions, P&L, cash flow records, account statements, margin ratios, buy-power estimates, order management, and DCA recurring investments via Longbridge (most require Trade permission). Frameworks: portfolio diagnosis, rebalancing, asset allocation, risk analysis (VaR/CVaR), performance attribution, and tax-loss harvesting. Triggers: "持仓", "账户", "盈亏", "资产", "对账单", "下单", "买入", "卖出", "撤单", "定投", "组合诊断", "再平衡", "资产配置", "风险分析", "绩效归因", "税损收割", "持倉", "賬戶", "盈虧", "對賬單", "下單", "買入", "賣出", "組合診斷", "再平衡", "稅損收割", "positions", "portfolio", "P&L", "order", "buy", "sell", "DCA", "statement", "risk analysis", "rebalancing", "tax harvesting", "我的风险", "持仓风险", "风险敞口", "資產", "資產配置", "風險分析", "績效歸因", "撤單"
- 導入数
- 3
- GitHub Stars
- 58
- 更新日
- 8月27日
longbridgelongbridge-research
Institution ratings, consensus price targets, EPS/revenue forecasts, finance calendar, shareholder data, fund holders, insider trades (SEC Form 4), short interest, industry rankings, peer group analysis via Longbridge. Frameworks: investment proposals, coverage initiation, stock research, competitive analysis, financial planning, and DeFi/on-chain analysis. Triggers: "机构评级", "目标价", "一致预期", "EPS预测", "内部人交易", "空头", "行业排名", "投资提案", "首次覆盖", "竞争格局", "财务规划", "DeFi收益", "链上数据", "機構評級", "目標價", "一致預期", "內部人交易", "空頭", "投資提案", "首次覆蓋", "競爭格局", "鏈上數據", "analyst rating", "price target", "consensus", "insider trades", "short interest", "coverage initiation", "DeFi yield", "on-chain", "earnings calendar", "finance calendar", "财报日历", "下周谁财报", "下周财报", "下周有哪些财报", "哪些财报", "谁财报", "FOMC", "非农", "股东", "谁持有", "股東", "基金持仓", "基金持倉", "機構評級", "目標價", "財務規劃"
- 導入数
- 3
- GitHub Stars
- 58
- 更新日
- 8月27日
longbridgelongbridge-technical
Technical analysis frameworks — candlestick patterns, Ichimoku cloud, technical indicators (RSI/MACD/EMA/Bollinger), harmonic patterns (Gartley/Bat/Butterfly/Crab), Elliott Wave, Chan Theory (缠论 bi/zhongshu/buy-sell points), Smart Money Concepts (BOS/FVG/Order Block), and Turtle Trading signals with ATR/Unit position sizing. Triggers: "技术分析", "K线形态", "蜡烛图", "一目均衡表", "RSI", "MACD", "布林带", "谐波形态", "艾略特波浪", "缠论", "分型", "笔", "中枢", "Smart Money", "BOS", "FVG", "海龟交易", "海龟信号", "K線形態", "蠟燭圖", "一目均衡表", "纏論", "ichimoku", "candlestick pattern", "K线形态识别", "形态识别", "识别K线", "识别形态", "harmonic", "Elliott Wave", "chan theory", "turtle trading", "SMC", "technical indicators", "技術分析", "海龜交易", "海龜信號", "諧波形態"
- 導入数
- 3
- GitHub Stars
- 58
- 更新日
- 8月27日
catalyst-cooperativedatapackage
Explore and query any dataset annotated with a Frictionless Data Package descriptor (datapackage.json). Use this skill whenever a user wants to discover what tables or resources a dataset contains, look up column names and descriptions, surface usage warnings embedded in metadata, or understand how to load data from Parquet files, DuckDB or SQLite databases, or CSV files described by a datapackage.json. Also use when the user has a datapackage.json and wants to know what's in it, how to query it efficiently, or how to connect its metadata to actual data files. Pairs well with dataset-specific skills (like pudl) that layer domain knowledge on top.
- 導入数
- 3
- GitHub Stars
- 3
- 更新日
- 9月8日
catalyst-cooperativepudl
Explore and understand PUDL energy data: discover which tables exist, look up column meanings and usage warnings, and load Parquet files from S3 or a local directory. No PUDL Python package required. Use this skill whenever a user asks what PUDL data contains, wants to understand a specific table or column, asks about data quality or limitations, needs help loading data into a notebook or script, or wants to know which table covers a topic like electricity generation, utility financials, fuel costs, power plant locations, emissions, capacity factors, FERC financial data, or EIA survey data. Also use when the user mentions PUDL, Catalyst Cooperative energy data, or any of the specific data sources PUDL ingests (EIA-860, EIA-861, EIA-923, FERC Form 1, FERC Form 714, FERC EQR, EPA CEMS, EPA CAMD, etc.).
- 導入数
- 3
- GitHub Stars
- 3
- 更新日
- 9月8日
utoolandutoo
npm 包管理工具，用来安装 npm 包、生成依赖树、执行前端项目命令等。 强制性规则（MANDATORY）： 当项目中存在 package.json 文件时，你 MUST（必须）使用此 skill 来执行所有 npm/pnpm/yarn 相关操作。 严格禁止直接使用以下命令： - ❌ 禁止: pnpm test → ✅ 使用: Skill(skill: "utoo", args: "test") - ❌ 禁止: pnpm install → ✅ 使用: Skill(skill: "utoo", args: "install") - ❌ 禁止: pnpm run → ✅ 使用: Skill(skill: "utoo", args: "run ") - ❌ 禁止: npm install → ✅ 使用: Skill(skill: "utoo", args: "install ") - ❌ 禁止: yarn add → ✅ 使用: Skill(skill: "utoo", args: "install ") 涵盖操作（必须通过此 skill）： 安装依赖、更新依赖、卸载依赖、运行脚本（test/build/dev等）、查看包信息、管理项目、执行任何 package.json 中的 scripts。 调用方式： 始终使用 Skill 工具调用，不要直接使用 Bash 执行 pnpm/npm/yarn 命令。
- 導入数
- 3
- GitHub Stars
- 1
- 更新日
- 7月27日
apidojo-ioscraping-instagram-posts-by-hashtag
Scrapes Instagram posts for any hashtag using apidojo's Instagram scraper on Apify. Triggers when the user asks to: get Instagram posts for a hashtag, scrape Instagram content by tag, export Instagram post data for a keyword or topic, fetch posts under an Instagram challenge or trend, collect Instagram media for a specific tag, or download Instagram post metadata by hashtag. Returns post URL, caption, like count, comment count, author handle, and timestamp per post. Ideal for trend analysts, UGC collectors, and social media researchers.
- 導入数
- 3
- GitHub Stars
- 0
- 更新日
- 5月13日
apidojo-iotracking-startup-founders-on-twitter
Tracks startup founders and their activity on Twitter using apidojo's Twitter scrapers. Triggers when the user asks to: track startup founders on Twitter, find startup CEOs or co-founders to follow in a sector, discover early-stage founders building in a niche on X, identify founders of recently funded startups on Twitter, find tech founders for partnership outreach, monitor what startup founders are building in a vertical, or build a founder watchlist for a specific industry. Returns founder handle, company, stage, follower count, recent topics, and build-in-public signals. Ideal for VCs, accelerators, partnerships teams, and startup ecosystem researchers.
- 導入数
- 3
- GitHub Stars
- 0
- 更新日
- 5月13日
fetcher-shyoutube-api
- A YouTube API alternative on fetcher.sh — pay-per-call in USDC via x402, or prepaid credits with a Bearer key, no OAuth and no daily quota. Use when the user wants to search YouTube videos with filters for upload date, duration, or sort order, search channels or playlists, look up a channel by ID, @handle, or custom URL path, list a channel's videos, shorts, or live streams, fetch a video's or short's details and comments, list a playlist's videos, pull posts under a hashtag, or check trending videos by region. Also covers YouTube data pipelines, channel monitoring, video analytics input, and trend tracking without the official YouTube Data API's daily quota limits.
- 導入数
- 3
- GitHub Stars
- 0
- 更新日
- 9月5日
openaiimagegen
Generate or edit raster images when the task benefits from AI-created bitmap visuals such as photos, illustrations, textures, sprites, mockups, or transparent-background cutouts. Use when Codex should create a brand-new image, transform an existing image, or derive visual variants from references, and the output should be a bitmap asset rather than repo-native code or vector. Do not use when the task is better handled by editing existing SVG/vector/code-native assets, extending an established icon or logo system, or building the visual directly in HTML/CSS/canvas.
- 導入数
- 3
- GitHub Stars
- 2.6万
- 更新日
- 7月14日
githubmulti-stage-dockerfile
Create optimized multi-stage Dockerfiles for any language or framework
- 導入数
- 3
- GitHub Stars
- 3.9万
- 更新日
- 9月7日