# Tools

> Every listed resource, editors’ picks first. The filters below can be combined.

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Resources for Game development or ML / AI or Data engineering or Data analysis: 344 items.

> - Game development: Gameplay, engine scripting, levels and 3D assets.
> - ML / AI: Model training, evaluation and LLM application development.
> - Data engineering: Data pipelines, warehouse modeling, ETL and data quality.
> - Data analysis: Querying, statistical analysis, reporting and visualization.

- [Life Science Research](https://hebbmind.com/ja/skill/openai-skills-5.md): [Skill] OpenAI's official life-science skills: 49 skills query public databases such as UniProt, ClinVar, gnomAD and AlphaFold through Python scripts, with a router skill that breaks down questions, normalizes entities and compiles sourced evidence. Written mainly for Codex.
- [Life Science Research](https://hebbmind.com/ja/plugin/life-science-research.md): [Plugin] OpenAI's official Codex plugin with about 50 skills that route questions to genetics, omics, pathway, protein structure, chemistry and clinical evidence sources, can split the work across parallel subagents, and synthesize sourced conclusions.
- [Jupyter Notebooks](https://hebbmind.com/ja/skill/jupyter-notebook.md): [Skill] Creates, edits and validates reproducible Python and SQL Jupyter notebooks: organizes cells as reports or tutorials, checks conclusions against actual output and reruns top to bottom before handoff. Maintained by OpenAI in the Data Analytics plugin of openai/plugins.
- [Life Sciences NGS Analysis](https://hebbmind.com/ja/plugin/ngs-analysis.md): [Plugin] OpenAI's official Codex plugin that guides sequencing analysis from BCL/FASTQ: QC, RNA-seq differential expression, single-cell, variant calling and metagenomics, favoring nf-core and other public pipelines with reproducible run logs. Checks for local tools first. Research use only.
- [OpenAI Developers](https://hebbmind.com/ja/plugin/openai-developers.md): [Plugin] Build with OpenAI best practices inside Codex: call the OpenAI API, build and deploy agents with the Agents SDK, create ChatGPT apps and prepare submission materials, and create API keys directly. Maintained by OpenAI; Codex only.
- [Build Web Data Visualization](https://hebbmind.com/ja/plugin/build-web-data-visualization.md): [Plugin] OpenAI's official Codex plugin with 18 skills to choose, design, build, test and export web charts, maps, dashboards, Gantt charts and UML, using D3, Vega-Lite and Three.js with attention to accessibility and responsiveness. Codex only.
- [Build Web Data Visualization](https://hebbmind.com/ja/skill/openai-openai-skills.md): [Skill] OpenAI's official set of 18 web data visualization skills: chart selection and critique, D3, Canvas, Three.js, maps, statistical uncertainty, live dashboards, Gantt charts, UML and scrollytelling. Ships with a Codex plugin; installed alone, the plugin-level references are missing.
- [Data Analytics](https://hebbmind.com/ja/skill/openai-skills.md): [Skill] OpenAI's official data analytics skills: data quality assessment, KPI design, metric anomaly diagnosis, dashboards and analysis reports, market sizing and notebooks. Ships with a Codex plugin; some skills depend on its runtime.
- [OpenCompass](https://hebbmind.com/ja/cli/opencompass.md): [CLI] Open-source LLM evaluation platform: one opencompass command picks the model and datasets and runs the evaluation across hundreds of benchmarks. Works with local Hugging Face models and API models, with vLLM and LMDeploy for faster inference.
- [Jupytext](https://hebbmind.com/ja/cli/jupytext.md): [CLI] Converts and two-way syncs Jupyter notebooks with plain Python scripts or Markdown, so agents can edit research and teaching notebooks like ordinary text and diffs stay readable. Needs a local Python environment; install with pip.
- [arxiv-latex-cleaner](https://hebbmind.com/ja/cli/arxiv-latex-cleaner.md): [CLI] Cleans a LaTeX project before arXiv submission: removes comments, auxiliary files and unused .tex files and images, and can compress images, so internal notes are not published with the source. From Google Research; installable with Homebrew on macOS.
- [Trafilatura](https://hebbmind.com/ja/cli/trafilatura.md): [CLI] Python library and CLI for extracting main web content: fetches pages, crawls via sitemaps and RSS feeds, strips headers, footers and other noise, and outputs TXT, Markdown, JSON, XML and more with metadata. Also processes downloaded HTML offline.
- [Anthropic Sandbox Runtime (srt)](https://hebbmind.com/ja/cli/sandbox-runtime.md): [CLI] Anthropic's official OS-level sandbox CLI: restricts file and network access for agents, MCP servers and any command without containers, using sandbox-exec on macOS and bubblewrap on Linux. Currently a research preview.
- [awesome-gamedev-agent-skills](https://hebbmind.com/ja/skill/awesome-gamedev-agent-skills.md): [Skill] 74 game development skills plus a router skill that detects which of 10 engines your project uses (Godot, Unity, Unreal, Phaser, three.js, Bevy and more) and loads the matching skills, along with art asset and store release workflows. Community-maintained.
- [Lieflat Charts](https://hebbmind.com/ja/skill/lieflat-charts.md): [Skill] Generates template-driven charts as single-file HTML: picks a chart from real Lupi, Basics, Glance, Maps and Interactive gallery implementations based on data shape, or fills one of 12 Chinese and English report templates. Defaults to Mono grayscale with semantic color presets. Written in Chinese.
- [Godot MCP](https://hebbmind.com/ja/mcp/godot-mcp.md): [MCP] Lets agents launch the Godot editor, run projects in debug mode and read console output and errors, plus create scenes, add nodes and manage UIDs (Godot 4.4+). Requires Godot and Node.js installed locally.
- [csvkit](https://hebbmind.com/ja/cli/csvkit.md): [CLI] Veteran suite of CSV command-line tools: in2csv converts Excel and JSON to CSV, csvcut, csvgrep and csvsort filter and sort, csvstat computes statistics, and csvsql runs SQL directly against CSV files.
- [Google Agents CLI Skills](https://hebbmind.com/ja/skill/google-skills.md): [Skill] Google's official skills for building ADK agents: dev workflow, scaffolding, the ADK Python API, evaluation with LLM judges and adaptive rubrics, deployment to Agent Runtime, Cloud Run or GKE, publishing and observability. Works with agents-cli; local dev needs only an AI Studio key.
- [Quarto](https://hebbmind.com/ja/cli/quarto-cli.md): [CLI] Posit's open-source scientific and technical publishing system built on Pandoc: embed Python, R or Julia code in Markdown or Jupyter notebooks, then quarto render produces HTML, PDF, Word, slides, websites and books.
- [Claude Scholar](https://hebbmind.com/ja/plugin/claude-scholar.md): [Plugin] Semi-automated research assistant for CS and AI researchers that links ideation, Zotero literature management, experiment analysis and reporting, paper writing and reviewer responses, and keeps project knowledge in Obsidian. Branches for Codex and other agents exist.
- [Claude Scholar](https://hebbmind.com/ja/skill/claude-scholar.md): [Skill] Semi-automated research workflow for computer science and AI researchers: ideation, Zotero literature management, experiment analysis and reports, paper writing and polishing, and rebuttals, with optional Obsidian knowledge base. 40+ skills; also installable as a Claude Code plugin.
- [Finance Toolkit MCP](https://hebbmind.com/ja/mcp/financetoolkit.md): [MCP] From the FinanceToolkit author: computes ratios, valuation, risk and macro indicators with 500+ transparent formulas, for company comparisons and first-pass due diligence. Hosted, no install; enter a Financial Modeling Prep key on first connect (free tier: US stocks, 5 years). Verify results.
- [LM Studio CLI (lms)](https://hebbmind.com/ja/cli/lms.md): [CLI] LM Studio's official CLI: list, load and unload local models, start and stop the local API server, and check status and logs; ls, ps and other commands support --json output for scripts and agents. Requires the LM Studio desktop app.
- [PySceneDetect](https://hebbmind.com/ja/cli/pyscenedetect.md): [CLI] Detects shot changes in video and splits long footage into scenes, exporting cut lists and per-scene thumbnails, useful for shot analysis, organizing footage and finding edit points. Runs locally; needs Python 3.10+, plus FFmpeg or mkvmerge for splitting.
- [MCPorter](https://hebbmind.com/ja/cli/mcporter.md): [CLI] CLI and TypeScript runtime for discovering and calling MCP servers from the terminal and scripts: list tool signatures and call tools directly, or generate a standalone CLI or typed client from a server. Auto-imports existing MCP configs from Claude Code, Codex and others.
- [Auto-Empirical Research Skills (AERS)](https://hebbmind.com/ja/skill/auto-empirical-research-skills.md): [Skill] Empirical social science skills from Stanford REAP and CoPaper.AI, bundling 77 in-house and third-party collections: topic selection, literature reviews, DID/RD/IV identification, regression tables in Python, Stata or R, robustness audits and paper writing. Stata flows need Stata installed.
- [YouPlot](https://hebbmind.com/ja/cli/youplot.md): [CLI] Draws bar charts, histograms, line charts, scatter plots and box plots in the terminal from CSV/TSV on stdin, so you can glance at data distributions at the end of a shell pipeline. The command is uplot.
- [AntV MCP Server Chart](https://hebbmind.com/ja/mcp/mcp-server-chart.md): [MCP] Generates 26+ chart types with AntV, including line, bar, Sankey, word cloud, mind map and pivot table, returning image links. Officially maintained by Ant Group's AntV team; uses a public rendering service by default and can be self-hosted.
- [Gemini API Dev](https://hebbmind.com/ja/skill/gemini-api-dev.md): [Skill] Teaches agents to code against the latest Gemini API and Python/TypeScript SDKs: multi-turn chat, function calling, structured output, and image and speech generation, while avoiding deprecated older models. Maintained by Google's Gemini team.
- [Gemini Skills](https://hebbmind.com/ja/skill/gemini-skills.md): [Skill] Gemini API development skills: gemini-api-dev (core API and SDKs), gemini-live-api-dev (real-time bidirectional audio/video streaming) and gemini-omni-flash-api (Omni video generation and editing), filling in APIs released after model training cutoffs. Maintained by Google's Gemini team.
- [Excel MCP Server](https://hebbmind.com/ja/mcp/excel-mcp-server.md): [MCP] Create, read and modify xlsx workbooks without Microsoft Excel installed: formulas, formatting and conditional formatting, charts, pivot tables and tables. Runs locally over stdio or as a remote HTTP service.
- [NotFair Plugin](https://hebbmind.com/ja/plugin/notfair-plugin.md): [Plugin] Open-source marketing plugin with 48 skills: SEO and AI search optimization (GEO), GA4 and Search Console analysis, ad diagnostics for Google, Meta, X, LinkedIn, Reddit and TikTok, and WordPress upkeep. Some SEO skills need only a URL; live data requires NotFair OAuth and linked accounts.
- [AiPy](https://hebbmind.com/ja/cli/aipyapp.md): [CLI] Knownsec's open-source Python-use agent: describe a task in plain language and it writes and runs Python on your machine, e.g. tidying Excel files, summarizing attendance or screening resumes. Needs Python 3.11+ and a model API key such as DeepSeek; code runs locally, so back up important files.
- [Hugging Face CLI](https://hebbmind.com/ja/cli/huggingface-hub.md): [CLI] Hugging Face's official hf CLI: search, download and upload models and datasets, manage repos and storage buckets, and run jobs on Hugging Face's cloud. Output adapts automatically for agents, and hf skills add installs companion skills. Uploads and similar actions need a login.
- [Three.js Geometry](https://hebbmind.com/ja/skill/threejs-geometry.md): [Skill] Three.js geometry reference with code: parameters for built-in shapes like boxes, spheres, cylinders and tori, building custom meshes from vertices with BufferGeometry, and instanced rendering for large numbers of objects.
- [Three.js Post-Processing](https://hebbmind.com/ja/skill/threejs-postprocessing.md): [Skill] Three.js post-processing reference with code: chaining passes with EffectComposer, adding bloom, depth of field, color grading, blur and glow, and writing custom screen-space shader passes.
- [Three.js Fundamentals](https://hebbmind.com/ja/skill/threejs-fundamentals.md): [Skill] Three.js fundamentals with code: setting up the scene, cameras and WebGLRenderer, Object3D hierarchy, coordinate systems and transforms, the render loop and resize handling. A starting point for building a 3D scene on the web.
- [Three.js Loaders](https://hebbmind.com/ja/skill/threejs-loaders.md): [Skill] Three.js asset loading reference with code: loading GLTF models, textures, images and HDR environments, coordinating loaders and progress with LoadingManager, and async loading patterns.
- [Three.js Shaders](https://hebbmind.com/ja/skill/threejs-shaders.md): [Skill] Three.js shader reference with code: writing GLSL vertex and fragment shaders, ShaderMaterial versus RawShaderMaterial, uniforms and animating them, and extending built-in materials for custom visual effects.
- [Three.js Interaction](https://hebbmind.com/ja/skill/threejs-interaction.md): [Skill] Three.js interaction reference with code: raycasting for click detection and object selection, camera controls such as OrbitControls, and mouse and touch input handling for interactive 3D experiences.
- [Three.js Animation](https://hebbmind.com/ja/skill/threejs-animation.md): [Skill] Three.js animation reference with code: procedural motion with Clock, the AnimationClip, AnimationMixer and AnimationAction keyframe system, playing GLTF animations, skeletal animation, morph targets and blending multiple animations.
- [Three.js Lighting](https://hebbmind.com/ja/skill/threejs-lighting.md): [Skill] Three.js lighting reference with code: ambient, hemisphere, directional, point, spot and area lights with their cost and shadow support, shadow setup, image-based environment lighting and lighting performance tips.
- [Three.js Textures](https://hebbmind.com/ja/skill/threejs-textures.md): [Skill] Three.js texture reference with code: loading and configuring texture maps, UV mapping, cubemaps and HDR environment maps, texture settings and optimization.
- [Three.js Materials](https://hebbmind.com/ja/skill/threejs-materials.md): [Skill] Three.js materials reference with code: when to use Basic, Lambert, Phong, Standard, Physical, Toon and other materials, PBR properties such as roughness and metalness, custom ShaderMaterial and material performance.
- [NVIDIA Agent Skills](https://hebbmind.com/ja/skill/nvidia-skills.md): [Skill] NVIDIA's official, verified catalog of hundreds of skills covering CUDA-X libraries, NeMo training, NIM and Dynamo inference, RAG blueprints, Jetson, Omniverse and robotics simulation. The install adds only nvidia-skill-finder, which recommends other skills and installs them once you confirm.
- [NVIDIA Agent Skills](https://hebbmind.com/ja/plugin/nvidia-skills.md): [Plugin] NVIDIA's official plugin that finds and installs the right skills from NVIDIA's catalog for your task, spanning CUDA acceleration, NIM inference, NeMo training, RAG blueprints, Omniverse simulation and robotics. Listed in both the Claude and Codex official marketplaces.
- [Camelot](https://hebbmind.com/ja/cli/camelot.md): [CLI] Open-source PDF table extraction with a camelot CLI: exports tables from financial reports, bank statements and statistical reports to Excel, CSV or Markdown, with an accuracy score. Needs Python 3.10+; handles text-based PDFs by default, scans need the ml and ocr extras. Double-check results.
- [qsv](https://hebbmind.com/ja/cli/qsv.md): [CLI] Fast Rust toolkit for tabular data with nearly 80 subcommands for querying, stats, cleaning, validation, joins and format conversion on CSV and Excel. Also offers an MCP server and a Claude Cowork plugin.
- [DBHub](https://hebbmind.com/ja/mcp/dbhub.md): [MCP] One server connecting PostgreSQL, MySQL, MariaDB, SQL Server, Oracle and SQLite, exposing just two tools by default to save context, with read-only mode and SSH tunneling. From Bytebase.
- [Browserbase Skills](https://hebbmind.com/ja/skill/browserbase-skills.md): [Skill] Browserbase's official skills: drive a local or cloud browser with the browse CLI for web scraping and search, turning site traffic into an OpenAPI spec, adversarial UI testing and competitor research. Cloud features need a Browserbase account.

Next page: https://hebbmind.com/ja/tools.md?page=5&profession=gamedev%2Calgorithm%2Cdata-engineering%2Cdata
