Agent skills you can check before you install
Public SKILL.md skills from GitHub repositories with 50+ stars and from the vendors themselves, scanned and scored. Install any of them with one command in Claude Code, Cursor, Codex, GitHub Copilot or Gemini CLI.
47,938 skills from 2,309 repositories · updated 10 minutes ago
47,938 skills
- melonjs-inputUpdatedmelonjs/melonJSUse this skill for keyboard, pointer, mouse, touch and gamepad input in melonJS. Covers the bindKey action indirection, registerPointerEvent on regions, the isKinematic requirement that silently blocks pointer events, which of several overlapping objects receives an event and how to consume it, world vs screen pointer coordinates, and gamepad mapping onto the same actions. Triggers on: input, bindKey, isKeyPressed, KEY, registerPointerEvent, releasePointerEvent, pointerdown, pointerup, pointermove, POINTERMOVE, gamepad, bindGamepad, triggerKeyEvent, virtual gamepad, touch controls, joystick, gamepad-plugin, KEYDOWN, KEYUP, press any key, splash screen, click, touch, drag, hit test, event propagation, stop propagating, overlapping, which object gets the click.TestingNo warnings★ 6.4K↓ —
- designlang-tokensManavarya09/design-extractUse when styling UI for v0.dev — references the extracted design system tokens instead of inventing colors, spacing, or typography.DesignNo warnings★ 4.4K↓ —
- designlang-tokensManavarya09/design-extractUse when styling UI for sentry.io — references the extracted design system tokens instead of inventing colors, spacing, or typography.DesignNo warnings★ 4.4K↓ —
- designlang-tokensManavarya09/design-extractUse when styling UI for loom.com — references the extracted design system tokens instead of inventing colors, spacing, or typography.DesignNo warnings★ 4.4K↓ —
- designlang-tokensManavarya09/design-extractUse when styling UI for render.com — references the extracted design system tokens instead of inventing colors, spacing, or typography.DesignNo warnings★ 4.4K↓ —
- melonjs-3dmelonjs/melonJSUse this skill for anything 3D or 2.5D in melonJS — Camera3d, Mesh, InstancedMesh, Sprite3d billboards, Light3d, ground shadows, glTF/GLB scenes, and depth sorting. Covers the Y-down/+Z-forward convention that is the inverse of OpenGL, the cameraClass opt-in, clip planes, and what does not work on the Canvas fallback. Triggers on: Camera3d, Mesh, InstancedMesh, Sprite3d, Trail3d, ribbon, exhaust trail, Light3d, billboard, glTF, glb, 3D, 2.5D, depth, cameraClass, fov, setClipPlanes, setFog, fog, distance fog, height fog, heightFalloff, transparent, transparency, alpha, blendMode, fade, castGroundShadow, lit, setBasis, getBasis, lookAt, up vector, gimbal, slerp, great circle, turn a direction.PlanningNo warnings★ 6.4K↓ —
- verifyzenbu-labs/terminal-browserDrive an engine app headlessly in a pty, record a video of the whole verification, and open a summary page (video + timeline + checks) with pixel open.MediaNo warnings★ 4.3K↓ —
- deepchat-sddThinkInAIXYZ/deepchatUse before substantial DeepChat code, configuration, documentation, test, build, feature, issue, refactor, or architecture changes that need a durable RFC and an explicit execution path. Skip trivial style fixes, small localized logic changes, routine docs edits, and simple bugs unless the developer asks for SDD. Use plan.md as the only separate tracker when needed, default to implementation-first validation, and ask before optional GitHub issue sync unless the developer explicitly requested sync.TestingNo warnings★ 6.4K↓ —
- melonjsUpdatedmelonjs/melonJSUse this skill FIRST for any melonJS task; it routes to the right specialised skill and lists the companion packages. melonJS is an open-source 2D, 2.5D and 3D HTML5 game engine running on WebGPU, WebGL 2 or Canvas. Covers Application setup, the scene graph, renderables, sprites, tilemaps, physics, audio, particles, shaders, and the 3D tier — perspective cameras, meshes and glTF scenes. Triggers on: melonjs, melonJS, me.game, Application, app.init, app.world, Renderable, Sprite, Stage, state.change, Camera2d, Camera3d, Mesh, tilemap, Tiled, TMX, ParticleEmitter, ShaderEffect, how do I make a game, HTML5 game engine.MediaNo warnings★ 6.4K↓ —
- designlang-tokensManavarya09/design-extractUse when styling UI for posthog.com — references the extracted design system tokens instead of inventing colors, spacing, or typography.DesignNo warnings★ 4.4K↓ —
- designlang-tokensManavarya09/design-extractUse when styling UI for replit.com — references the extracted design system tokens instead of inventing colors, spacing, or typography.DesignNo warnings★ 4.4K↓ —
- bnbchain-mcpinternet-court/internet-court-skillBNB Chain MCP server connection and tool usage. Covers npx @bnb-chain/mcp@latest, PRIVATE_KEY and RPC, and every MCP tool — blocks, transactions, contracts, ERC20/NFT transfers, wallet, ERC-8004 agent registration, Greenfield. Use when connecting to bnbchain-mcp, querying or transacting on BNB Chain/opBNB/EVM, registering as ERC-8004 agent, or using Greenfield.OtherNo warnings★ 7K↓ —
- linkedin-employee-advocacysergebulaev/linkedin-skillsStand up and run a LinkedIn employee advocacy program for a marketing or sales team. Covers 14-day launch playbook, brand-guideline governance, per-post time budget, cadence benchmarks, and team ROI (reach, engagement, pipeline). Triggers on "employee advocacy", "get the team posting", "scale LinkedIn across team", "advocacy ROI". Not for planning one person's own calendar (use linkedin-content-planner).MarketingNo warnings★ 5.4K↓ —Also in 1 other repo
- vectorizationdotnet/skillsDesign, implement, optimize, and review SIMD code in .NET. USE FOR: vectorizing scalar loops with TensorPrimitives, Vector64/128/256/512, or platform hardware intrinsics; reviewing existing SIMD code, including the generic Vector type, for contract equivalence, tail handling, memory safety, portability, fallbacks, and measured performance. DO NOT USE FOR: performance work unrelated to SIMD or vectorization.DesignNo warnings★ 5.8K↓ —
- linkedin-content-plannersergebulaev/linkedin-skillsGenerate a 7-day LinkedIn content plan from a theme, audience, and pillars. Produces per-day post pillar, format, hook type, CTA, posting time, daily comment targets, and a weekly inbound-readiness check. Use when the user wants to plan a week or month of content, not draft a single post (use linkedin-post-writer).MarketingNo warnings★ 5.4K↓ —Also in 1 other repo
- linkedin-comment-draftersergebulaev/linkedin-skillsDraft a LinkedIn comment on someone else's post from its URL, or reshare (repost) it to your feed with optional commentary. Use when the user pastes a post URL and asks to comment, engage, be first commenter, or repost with their thoughts. Produces 1-3 variants in the user's voice, picks a reaction, and publishes via Publora on approval. Not for replying to existing comments (use linkedin-reply-handler).MarketingNo warnings★ 5.4K↓ —Also in 1 other repo
- mirrord-propagation-discoverymetalbear-co/mirrordScans a live Kubernetes environment with `mirrord dump` to find an identifier mirrord can filter traffic on: a header, a `baggage` or `tracestate` member, a tenant or user id, a trace id (W3C, B3, X-Ray, Google, Jaeger), a JWT claim, a cookie, a path segment, or a JSON body field that is present on every hop of a request chain, unique to one developer's traffic, and settable by that developer. Runs mirror-only dumps on each service, sends a tagged probe request at the edge or observes real traffic, scores the candidates, and produces the matching `http_filter` (regex, jq on headers, path, method, body, or combinations) plus a per-hop report of where each identifier is dropped. Installs the mirrord CLI through a package manager when it is missing. Use when the user asks what to filter on, whether the cluster already propagates a request id or trace context, how to isolate their own requests on a shared staging cluster, how to filter on a JWT or cookie with mirrord, or wants to inspect live traffic with mirrordDevOpsNo warnings★ 5.4K↓ —
- sn-md-to-html-reportOpenSenseNova/SenseNova-Skills将 Markdown 报告、研究笔记、行业分析、战略备忘录、技术白皮书、复盘、周报等长文档，重组并创作为有编辑判断、网页美感和证据秩序的自包含 HTML 专题页。用户要求“转成 HTML”“网页化报告”“美化报告”“做成专题页”“便于分享”“提升可读性/设计感”“把报告做成网页”时使用。必须先写 plan.md 再写 HTML，保留原文事实断言和结论强度，不套模板，不做机械 Markdown 转换。PlanningNo warnings★ 6K↓ —
- sn-da-large-file-analysisOpenSenseNova/SenseNova-Skills万行以上 Excel 数据集的高性能分析引擎。提供 openpyxl read_only 流式读取（iter_rows 支持 10 万行以上）、Parquet 转换加速、内存优化、分块处理和大文件写入模式。**遇到以下任一情况就主动使用本 skill**：①数据行数 ≥ 10k（由 sn-da-excel-workflow 的行数评估步骤触发）；②用户出现触发词：大文件 / 大数据量 / 性能优化 / 内存不足 / OOM / 百万行 / 十万行 / 流式读取 / Parquet / 分块处理 / large file / big data / streaming read / chunked processing；③直接使用 pd.read_excel() 导致超时或内存溢出；④用户明确要求对大规模数据集进行高性能处理。仅不用于：小于 10k 行的常规 Excel 分析（使用 sn-da-excel-workflow 即可）。DocumentsNo warnings★ 6K↓ —
- melonjs-performancemelonjs/melonJSUse this skill when a melonJS game drops frames, allocates heavily, or needs to scale to many objects. Covers object pooling, draw-call batching, atlases, baking with CanvasRenderTarget, instancing, culling and alwaysUpdate, the debug plugin, and where the real costs are. Triggers on: performance, slow, frame rate, fps, lag, pool, pool.register, pool.pull, batching, draw calls, InstancedMesh, culling, alwaysUpdate, inViewport, CanvasRenderTarget, optimise, profiling, debug plugin, memory, render targets, hdr.MediaNo warnings★ 6.4K↓ —
- melonjs-3d-assetsmelonjs/melonJSUse this skill when loading 3D models into melonJS — glTF and GLB scenes, OBJ/MTL models, materials, imported lights, node animation, ground shadows and GPU instancing. Covers level.load options including the async flag, the rightHanded conversion, and exactly what the loader does and does not support. Triggers on: glTF, gltf, glb, OBJ, MTL, 3D model, getGLTF, getOBJ, getMTL, GLTFModel, GLTFScene, level.load glb, rightHanded, lightIntensityScale, castGroundShadow, shadowGroundY, EXT_mesh_gpu_instancing, KHR_lights_punctual, skinning, Blender export, 3D asset.MediaNo warnings★ 6.4K↓ —
- melonjs-lightingUpdatedmelonjs/melonJSUse this skill for 2D dynamic lighting in melonJS — Light2d, ambient light on a Stage, multiple lights, and per-pixel normal-mapped sprites authored in SpriteIlluminator. Covers specular highlights via shininess, the ambient-cutout model, which parts need a GPU backend, and why Light2d does not survive a Camera3d. Triggers on: Light2d, specular, shininess, highlight, glint, lighting, ambientLight, ambientLightingColor, normalMap, SpriteIlluminator, per-pixel lighting, drawLight, torch, glow, darkness.PlanningNo warnings★ 6.4K↓ —
- antfu-issue-triageantfu/skillsTriage open issues and PRs of the current GitHub repo - find already-fixed, duplicate, and spam items, suggest labels, gauge demand from reactions and comments, then present a table of proposed actions and comments for confirmation before touching anything. Use when asked to triage, organize, clean up, or groom issues and PRs.OtherNo warnings★ 6K↓ —
- setting-up-a-projectJetBrains/thinkrailUse when asked to set up, onboard, initialize, or spec a project with no spec graph, or when invoked by the app's Set-up-project card. Not for ordinary work in an already-specced project.PlanningNo warnings★ 6.4K↓ —
humanize-chinese
brycewang-stanford/Auto-Empirical-Research-Skills
WritingUpdated 14 hours ago
From the author
Detect and humanize AI-generated Chinese text. 20+ rule detection categories plus statistical features (sentence-length CV, short-sentence fraction, comma density, perplexity, GLTR, DivEye) plus scene-aware LR fusion (rule × 0.2 + LR × 0.8) trained on three scenes: general / academic / longform 长文本 (≥1500 字)。Unified CLI: ./humanize {detect,rewrite,academic,style,compare}. 8 style transforms (casual/zhihu/xiaohongshu/wechat/academic/literary/weibo/novel)。 Multi-paragraph rewriting (paragraph length CV、跨段 trigram 重复) plus best-of-N humanize (默认 N=10 取最低 LR)。165 replacement patterns + CiLin 同义词词林 38873 with collision blacklist。 Academic paper AIGC reduction for CNKI/VIP/Wanfang (知网/维普/万方 AIGC 检测降重)。 Pure Python, no dependencies, offline。v5.0.0 — HC3 fused 准确率 95%、学术 hero 100→35 (-65)、 工作汇报 96→13 (-83)、长篇博客 96→41 (-55)。 Use when user says: "去AI味", "降AIGC", "人性化文本", "humanize chinese", "AI检测", "AIGC降重", "去除AI痕迹", "文本改写", "论文降重", "知网检测", "维普检测", "AI写作检测", "让文字更自然", "detect AI text", "humanize text", "reduce AIGC sc
Install
npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill humanize-chinese -a claude-code
Installs to .claude/skills/humanize-chinese/ · Each command fetches the skill straight from GitHub with the open skills CLI.
Download .zip
Byte-identical to the scanned commit, with the repository’s licence and a SOURCE.txt.
What it can touch
Instructions onlyNo network use seenLicence: MIT
Safety checks on SKILL.md
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Why 91
Security100
Provenance84
Maintenance100
Licence100
Adoption58
Files (3)
- LICENSE
- README-original.md
- SKILL.md