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Showing 4,561–4,620 of 13,475 skills · Page 77 of 225
humanlayer / improve-claude-md
4.5kimprove a CLAUDE.md file using <important if> blocks to improve instruction adherence
vinvcn / translate-skill
4.4k将 mattpocock/skills 的内容翻译、刷新或复核到简体中文本地化仓库 vinvcn/mattpocock-skills-zh-CN 时使用这个项目级 skill。适用于 skill files、README content、CLAUDE.md、GLOSSARY.md、docs，以及其他需要保留行为关键 identifiers 的上游用户可见内容。
BuilderIO / agent-watchdog
4.4kUse when asked to watch, babysit, audit, review, compare, or fix another agent's work from a Codex session ID, Claude Code session/transcript, chat/thread link, PR, branch, log, or pasted run summary.
brycewang-stanford / check-citations
4.4kVerify academic citations against CrossRef, Semantic Scholar, and OpenAlex. Detects AI-hallucinated references, chimeric citations, and suspicious patterns.
brycewang-stanford / project-structure
4.4kProject directory organization and script naming conventions for research
brycewang-stanford / lifelines
4.4kComplete survival analysis library in Python. Handles right-censored data, Kaplan-Meier curves, and Cox regression. Standard for clinical trial analysis and epidemiology.
brycewang-stanford / data-cleaning
4.4kClean and transform messy data for analysis in Python, R, or Stata
brycewang-stanford / marp-export
4.4kExport Marp slide markdown files to PDF (default), HTML, PPTX, or PNG. Handles theme loading, Chrome/Chromium detection for PDF export, and batch conversion.
brycewang-stanford / Cleaning Up Research Sessions
4.4kSafely remove intermediate files from completed research sessions while preserving important data
brycewang-stanford / Finding Open Access Papers
4.4kUse Unpaywall API to find free full-text versions of paywalled papers
brycewang-stanford / Searching Scientific Literature
4.4kPubMed search with keyword optimization, result parsing, and metadata extraction
brycewang-stanford / Traversing Citation Networks
4.4kSmart backward and forward citation following via Semantic Scholar, with relevance filtering and deduplication
brycewang-stanford / bayesian-estimation
4.4kThis skill covers Bayesian estimation and inference in quantitative social science
brycewang-stanford / workflows:brainstorm
4.4kExplore methodological approaches through structured analysis before planning implementation
brycewang-stanford / latex-to-quarto
4.4kConverts LaTeX article-class .tex documents to Quarto .qmd format for multi-format publishing (HTML, PDF, Word)
SamurAIGPT / muapi-youtube-shorts
4.3kAuto-generate viral 9:16 YouTube Shorts (or TikTok / Reels clips) from a long-form video. Thin platform-aware wrapper around the AI Clipping skill — picks sensible defaults for short-form social platforms (9:16, 30–60s sweet spot) and delegates the actual highlight extraction + crop to muapi.ai's `/…
zLanqing / exploratory-data-analysis
4.3kPerform comprehensive exploratory data analysis on scientific data files across 200+ file formats. This skill should be used when analyzing any scientific data file to understand its structure, content, quality, and characteristics.
zLanqing / pymatgen
4.3kMaterials science toolkit. Crystal structures (CIF, POSCAR), phase diagrams, band structure, DOS, Materials Project integration, format conversion, for computational materials science.
zLanqing / pymoo
4.3kMulti-objective optimization framework. NSGA-II, NSGA-III, MOEA/D, Pareto fronts, constraint handling, benchmarks (ZDT, DTLZ), for engineering design and optimization problems.
zLanqing / seaborn
4.3kStatistical visualization with pandas integration. Use for quick exploration of distributions, relationships, and categorical comparisons with attractive defaults. Best for box plots, violin plots, pair plots, heatmaps. Built on matplotlib.
zLanqing / simpy
4.3kProcess-based discrete-event simulation framework in Python. Use this skill when building simulations of systems with processes, queues, resources, and time-based events such as manufacturing systems, service operations, network traffic, logistics, or any system where entities interact with shared r…
zLanqing / sympy
4.3kUse this skill when working with symbolic mathematics in Python. This skill should be used for symbolic computation tasks including solving equations algebraically, performing calculus operations (derivatives, integrals, limits), manipulating algebraic expressions, working with matrices symbolically…
zLanqing / timesfm-forecasting
4.3kZero-shot time series forecasting with Google's TimesFM foundation model. Use for any univariate time series (sales, sensors, energy, vitals, weather) without training a custom model. Supports CSV/DataFrame/array inputs with point forecasts and prediction intervals.
0x0funky / generate2dsprite
4.2kGenerate and postprocess general 2D game assets and animation sheets: pixel-art sprites, clean HD map props, creatures, characters, NPCs, spells, projectiles, impacts, props, summons, and transparent GIF exports
mcncarl / yichen-asr
4.2k逸尘自用的统一音视频转写入口，在 StepFun Step ASR 与火山引擎豆包 ASR 之间按输出需求、安全边界和可用状态路由。用于本地音频或视频的纯文本转写、时间戳、SRT 字幕、口播粗剪，以及转写前体检；用户明确指定服务商时不得静默切换。Use when a local audio or video file needs transcription and the correct ASR backend is unclear, or when the user explicitly invokes $yichen-asr.
mcncarl / yichen-bookmarks-export
4.2k在用户当轮明确授权后，只读导出其小红书收藏、抖音收藏或 X/Twitter 书签为本地链接文件；本 Skill 直接完成收藏页滚动、链接提取、去重、数量核验、Field Theory GraphQL-only 导出和抽样验证。用于“导出/备份/同步我的收藏或书签链接”等私人数据导出任务；不得用于公开搜索、收藏内容分析、媒体下载、正文归档、推荐发现或未获当轮授权的私人读取。
davidondrej / herdr
4.1kOperate and coordinate AI agents in Herdr workspaces in Ghostty
davidondrej / browser-use
4.1kDirect browser control via CDP for web interaction: automation, scraping, testing, screenshots, and site/app work.
parcadei / fix
3.9kMeta-skill workflow orchestrator for bug investigation and resolution. Routes to debug, implement, test, and commit based on scope.
sanyuan0704 / book-study
3.9kReading coach: guides users through books systematically with knowledge compilation, mastery testing, spaced repetition, and knowledge querying
sanyuan0704 / sigma
3.9kPersonalized 1-on-1 AI tutor using Bloom's 2-Sigma mastery learning. Guides users through any topic with Socratic questioning, adaptive pacing, and rich visual output (HTML dashboards, Excalidraw concept maps, generated images)
eternityspring / novel-art
3.8k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，…
eternityspring / novel-outline
3.8k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。
eternityspring / novel-script
3.8k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…
eternityspring / novel-staging
3.8k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.jso…
browserbase / browser-to-api
3.7kTurn a website's observable HTTP traffic into a best-effort OpenAPI 3.1 spec by analyzing a `browser-trace` capture
browserbase / browser
3.7kAutomate web browser interactions using natural language via CLI commands
browserbase / fetch
3.7kUse this skill when the user wants to retrieve a URL without a full browser session: fetch HTML or JSON from static pages, inspect status codes or headers, follow redirects, or get page source for simple scraping.
ericosiu / conversion-ops
3.6kAI-powered conversion rate optimization: landing page audits, CRO scoring, survey segmentation, and lead magnet generation.
ericosiu / growth-engine
3.6kAutonomous growth experimentation framework based on Karpathy's autoresearch pattern applied to marketing. Creates experiments with hypotheses, logs data points, runs statistical analysis (bootstrap CI + Mann-Whitney U), auto-promotes winners to a living playbook, and suggests next experiments.
ericosiu / lead-dossier
3.6kname: lead-dossier description: > Multi-source account research, cascade enrichment, and lead pipeline. Combines website scraping, tech stack detection, CRM enrichment, hiring/news signals into structured dossiers. Includes full lead sourcing pipeline: search → verify → dedupe → upload.
ericosiu / net-new-video-editor
3.6kTurn newly recorded talking-head footage into review-ready vertical video drafts with an explicit edit plan, deterministic FFmpeg rendering, captions, hook cards, audio normalization, and visual QA.
ericosiu / video-clip-pipeline
3.6kAI-powered pipeline that converts long-form YouTube episodes into standalone highlight clips. Download → Transcribe → AI Segment → Cut → Upload. A 60-minute episode becomes 3–5 clips in ~15 minutes.
Ar9av / memory-bridge
3.5kBrowse or compare wiki knowledge by originating AI tool. Use for cross-tool memory questions, tool-specific knowledge, or gap/diff analysis between Codex, Claude, Hermes, and other agents.
NVIDIA / boltz2-nim
3.4kUse Boltz2 NIM for biomolecular structure prediction and binding affinity. Invoke for Boltz2, protein structures, protein-ligand/DNA/RNA complexes, SMILES or CCD ligands, pIC50/IC50 affinity scoring, mmCIF output, hosted NVIDIA API calls, or local Docker deployment.
NVIDIA / drug-discovery-pipeline
3.4kScreen drug candidates end-to-end using three BioNeMo NIMs in sequence:
NVIDIA / cuopt-install
3.4kInstall cuOpt for Python, C, or server via pip, conda, or Docker; verify the install. For building cuOpt from source, see cuopt-developer.
NVIDIA / dynamo-router-starter
3.4kStart or patch Dynamo router modes and run router endpoint smoke checks. Use for round-robin, KV-aware, least-loaded, or device-aware routing setup; use recipe-runner for recipe deployment and troubleshoot for failure diagnosis.
NVIDIA / i4h-workflow-dataset-annotate
3.4kGrade or filter workflow HDF5 episodes with an OpenAI-compatible vision model. Use for visual success labels; do not use for replay, policy evaluation, or recordings without frames.
NVIDIA / i4h-workflow-finetune
3.4kFine-tune a manifest-backed GR00T or openpi remote Task on compatible LeRobot data. Use for training; do not use for inference-only Tasks or checkpoint rollout.
NVIDIA / i4h-workflow-setup
3.4kPreflight and set up the root-level workflow runtime. Use for installation, missing component environments, or third-party failures; do not use for rollout validation.
CloudAI-X / threejs-asset-pipeline
3.4kShrinking glTF assets for three.js with gltf-transform: inspect, validate and optimize commands, Draco, meshopt and quantization, KTX2, WebP and AVIF textures, the loader setup each output needs, and gltfjsx for React
CloudAI-X / threejs-geometry
3.4kCreating and shaping three.js geometry: built-in shapes, 3D text, vertex buffers and attributes, merging, instancing, batching, point clouds and lines, on WebGL or with WebGPU and TSL
CloudAI-X / threejs-interaction
3.4kPicking with raycasting, camera controls, transform gizmos, drag, hover and box selection for three.js, identical under WebGL and WebGPU
CloudAI-X / threejs-lighting
3.4kLight types and physical units, shadow maps, HDR environment lighting, light probes, and lighting performance, on WebGL or with WebGPU and TSL
CloudAI-X / threejs-loaders
3.4kLoading three.js assets: glTF with Draco, meshopt and KTX2 compression, other model formats, textures, HDR and EXR environments, progress, caching, cloning and disposal
CloudAI-X / threejs-materials
3.4kChoosing and configuring three.js materials - unlit, diffuse, specular, PBR, toon, point and line materials - shared properties like blending and stencil, environment response, and the WebGPU node-material and TSL equivalents
CloudAI-X / threejs-performance
3.4kMeasuring and optimizing three.js speed: render statistics, memory counters, fewer draw calls via merging, instancing, batching and LOD, fill rate, shadows, CPU work per frame, shader stalls and GPU compute for particles, WebGL or WebGPU with TSL
CloudAI-X / threejs-postprocessing
3.4kThree.js post-processing: composer pass chains, built-in renderer effects, and the WebGPU/TSL node pipeline — bloom, depth of field, ambient occlusion, custom screen effects
CloudAI-X / threejs-react-three-fiber
3.4kBuilding three.js scenes from React with React Three Fiber and drei: renderer setup, the scene graph as JSX, frame-loop, state and loading hooks, pointer events, and adaptive performance, on WebGL or with WebGPU and TSL