# Tools > Every listed resource, editors’ picks first. The filters below can be combined. - Search: append `?q=` to the URL. Separate several keywords with spaces; all of them must match. Matches name, repository, tags, professions, description and README. - Filter by type: append `?type=` to the URL. - Filter by profession: append `?profession=` to the URL. Separate several ids with commas; a resource matches when it suits any of them. Ids are listed at https://hebbmind.com/api/v1/professions - Filter by tag: append `?tag=` to the URL. Separate several tags with commas; a resource must carry all of them. Tags are listed at https://hebbmind.com/api/v1/tags Resources for Mobile & desktop or ML / AI or Hardware engineering or Customer support: 338 items. > - Mobile & desktop: Building and shipping iOS, Android and desktop apps. > - ML / AI: Model training, evaluation and LLM application development. > - Hardware engineering: Part and assembly modeling, schematics and PCB review, simulation, and BOM and production files. > - Customer support: Tickets, customer questions, knowledge-base upkeep and service quality. - [Serena](https://hebbmind.com/ja/mcp/serena.md): [MCP] Gives coding agents IDE-like symbol-level code search, editing and refactoring via language servers (LSP) across 40+ languages, with cross-session memory. An optional paid JetBrains plugin backend adds breakpoint debugging. Install with uv first. - [Customer Success Manager](https://hebbmind.com/ja/skill/customer-success-manager.md): [Skill] For SaaS customer success teams: three standard-library Python scripts turn customer data into health scores, churn-risk tiers and ranked expansion opportunities, with reproducible results. Needs Python and customer data in the sample JSON format. Part of the claude-skills collection. - [promptfoo](https://hebbmind.com/ja/cli/promptfoo.md): [CLI] CLI and library for evaluating and red-teaming LLM apps: compare prompts and model outputs in bulk, scan for security vulnerabilities and plug into CI/CD, with evals running locally. Now part of OpenAI and still open source under MIT. - [Google Agent Skills](https://hebbmind.com/ja/skill/google-google-skills.md): [Skill] Google's official skill library, focused on Google Cloud: 100+ skills for gcloud, Cloud Run, GKE, BigQuery, IAM, monitoring and logging, and the Well-Architected Framework, plus Ads and Analytics. - [Google Skills](https://hebbmind.com/ja/plugin/google-skills.md): [Plugin] Google's official skill library and plugin marketplace: nearly 150 skills focused on Google Cloud (GKE, BigQuery, Cloud Run, IAM and more), plus 17 product plugins pairing skills with MCP for Cloud SQL, Spanner, AlloyDB, BigQuery, GCS and others. - [FunASR](https://hebbmind.com/ja/cli/funasr.md): [CLI] Industrial-grade open-source speech recognition toolkit from Alibaba's ModelScope, with an agent-friendly funasr command that turns audio into text, JSON or SRT subtitles in one step, with speaker diarization and timestamps. Strong on Chinese. Requires PyTorch. - [olmOCR](https://hebbmind.com/ja/cli/olmocr.md): [CLI] AI2's tool for converting PDFs and scans to Markdown with a vision LLM, handling equations, tables, handwriting and multi-column layouts, suited to bulk digitizing papers and archives. Local runs need an NVIDIA GPU with 12GB+ VRAM; otherwise use a paid OpenAI-compatible remote endpoint. - [SwiftLint](https://hebbmind.com/ja/cli/swiftlint.md): [CLI] Style and convention linter for Swift, with most rules built on SwiftSyntax. Configure it with .swiftlint.yml, auto-correct with --fix, and run it in an Xcode build phase or as a SwiftPM plugin. - [Browser Harness](https://hebbmind.com/ja/cli/browser-harness.md): [CLI] Browser control from the browser-use team: an editable CDP connection lets agents drive the Chrome you are already using, writing missing helper functions as they go and keeping them for reuse. Also offers an MCP server. Allow remote debugging in Chrome on first use. - [ARIS (Auto-claude-code-research-in-sleep)](https://hebbmind.com/ja/skill/auto-claude-code-research-in-sleep.md): [Skill] Lets Claude Code push ML research forward unattended: literature review, topic selection, experiment deployment, cross-model review loops and paper writing through rebuttal, in 80+ skills. Codex acts as the independent reviewer by default; other model pairings work too. - [Agent Skills for Context Engineering](https://hebbmind.com/ja/skill/agent-skills-for-context-engineering.md): [Skill] Context and harness engineering skills: context fundamentals, degradation diagnosis and compression, multi-agent architectures, memory systems, tool design, LLM-as-judge evaluation and self-improvement loops. Focused on principles and design patterns, not tied to any agent platform. - [Agent Skills for Context Engineering](https://hebbmind.com/ja/plugin/agent-skills-for-context-engineering.md): [Plugin] Context and harness engineering skills covering context compression and optimization, multi-agent architectures, memory systems, tool design and LLM-as-judge evaluation, activated automatically by task. Aimed at building production-grade agent systems. - [Support Ticket Triage](https://hebbmind.com/ja/skill/support-ticket-triage.md): [Skill] Helps support teams categorize and prioritize tickets, emails or chat logs and suggest next steps; drafts replies, organizes repro steps and reminds you to redact customer data before sharing. Works with exports from Zendesk, Intercom and others or pasted chats; no account or API key needed. - [Maestro](https://hebbmind.com/ja/cli/maestro.md): [CLI] Write end-to-end UI tests for Android, iOS and web apps in YAML. The CLI includes an MCP server (maestro mcp) so coding agents can tap, assert and generate tests on simulators. Requires Java 17+. - [Maestro MCP](https://hebbmind.com/ja/mcp/mobile-dev-inc-mcp.md): [MCP] MCP built into the CLI of the Maestro mobile UI testing framework (maestro mcp): lets agents view the screen, tap, scroll and assert on iOS/Android simulators, Android devices or Chromium, and write and run YAML end-to-end flows. Needs the Maestro CLI and Java 17+. Official. - [Framelink MCP for Figma](https://hebbmind.com/ja/mcp/figma-context.md): [MCP] Simplifies Figma designs into layout and style data for coding agents, so UIs built from the design are more accurate than working from screenshots. Requires a Figma personal access token. - [ms-swift](https://hebbmind.com/ja/cli/ms-swift.md): [CLI] ModelScope's official training framework for LLMs and multimodal models: the swift command covers pretraining, fine-tuning, RL, inference, evaluation, quantization and deployment for 600+ text and 400+ multimodal models, with Megatron parallelism and a web UI. Usually needs a GPU. - [DVC](https://hebbmind.com/ja/cli/dvc.md): [CLI] Version datasets and models the way Git versions code: data lives in remote storage like S3 or GCS while versions are tracked in your Git repo. Also offers reproducible pipelines and local experiment tracking, rerunning only the steps affected by a change. - [F5-TTS](https://hebbmind.com/ja/cli/f5-tts.md): [CLI] Open-source zero-shot TTS via f5-tts_infer-cli: from a few seconds of reference audio it reads Chinese or English text in the same voice, handy for lessons and videos. Needs Python, PyTorch and FFmpeg, ideally a GPU. Pretrained models are non-commercial; get consent before cloning a voice. - [Prompt Master](https://hebbmind.com/ja/skill/prompt-master.md): [Skill] Writes precise prompts for a specific AI tool: identifies the target tool, extracts your intent, asks at most three questions if details are missing, then outputs a lean, paste-ready prompt. Covers dozens of tools including ChatGPT, Claude Code, Cursor, Midjourney and Sora. - [Skill Seekers](https://hebbmind.com/ja/cli/skill-seekers.md): [CLI] Turns 18 kinds of sources, including doc sites, GitHub repos, PDFs and videos, into skill packages for Claude and other platforms, or exports RAG chunks and vector store data. Optional MCP server, and it can call a local agent like Claude Code to enrich content. Needs Python 3.10+. - [AI Research Skills](https://hebbmind.com/ja/plugin/ai-research-skills.md): [Plugin] Plugin marketplace for AI research with nearly 100 skills in 23 categories, from ideation, fine-tuning and post-training to distributed training, inference serving, evaluation and paper writing, coordinated end to end by the autoresearch skill. - [AI Research Skills](https://hebbmind.com/ja/skill/ai-research-skills.md): [Skill] Nearly 100 skills spanning the AI research workflow: ideation and literature review, fine-tuning and post-training, distributed training, inference serving, evaluation, interpretability and paper writing, tied together by an autoresearch orchestration skill. - [MiniMax Skills](https://hebbmind.com/ja/plugin/minimax-ai-skills.md): [Plugin] MiniMax's official skill plugin with dev guides for frontend, full-stack, Android, iOS, Flutter, React Native and GLSL shaders, plus PDF, PowerPoint, Excel and Word document skills and image, video and music generation. Media skills need a MiniMax API key. Still in beta. - [MiniMax Skills](https://hebbmind.com/ja/skill/minimax-ai-skills.md): [Skill] MiniMax's official skill collection covering frontend, full-stack, Android, iOS, Flutter, React Native and GLSL shader development, plus PDF, Word, Excel and PowerPoint document generation. Some media skills need a MiniMax API key. Still in beta. - [LLM](https://hebbmind.com/ja/cli/llm.md): [CLI] Simon Willison's LLM CLI and Python library: call OpenAI, Claude, Gemini and local models from the terminal, with conversations logged to SQLite automatically, plus embeddings, structured extraction, tool calling and a plugin system. - [Claude Skills (Fullstack Dev Skills)](https://hebbmind.com/ja/plugin/jeffallan-claude-skills.md): [Plugin] Bundles 60+ full-stack specialist skills into one plugin: experts for 12 languages including Python, TypeScript, Go, Rust and Java, and frameworks like React, Django and Spring Boot, activated automatically by request. Also includes Jira and Confluence workflow commands (needs Atlassian MCP). - [Trae Agent](https://hebbmind.com/ja/cli/trae-agent.md): [CLI] ByteDance's open-source, general software engineering agent: trae-cli edits files and runs commands from natural language, supports multiple model providers and MCP, and records full execution trajectories. Transparent design suits agent research and customization. Needs your own model API key. - [Arize Phoenix MCP Server](https://hebbmind.com/ja/mcp/phoenix-mcp.md): [MCP] Connects to the Arize Phoenix observability platform so agents can query LLM traces and sessions, manage prompts, browse datasets and read experiment evaluation results. Maintained by Arize; needs a self-hosted or cloud Phoenix instance. - [Hugging Face Skills](https://hebbmind.com/ja/plugin/huggingface-skills.md): [Plugin] Lets agents work with the Hugging Face Hub through the hf CLI: search and download models and datasets, manage repos and Spaces, and run training and evaluation jobs on cloud GPUs, with more workflow skills installable as needed. Maintained by Hugging Face. - [Hugging Face CLI (hf-cli)](https://hebbmind.com/ja/skill/hf-cli.md): [Skill] Teaches agents the Hugging Face Hub CLI hf: search and download models, manage datasets, Spaces, Buckets and repos, and run Jobs and inference endpoints. The skill content is generated from your local CLI, so install hf first. Maintained by Hugging Face. - [Hugging Face Skills](https://hebbmind.com/ja/skill/huggingface-skills.md): [Skill] Hugging Face's official skills: manage Hub models and datasets with the hf CLI, fine-tune language and vision models, run model evaluations, and build Gradio apps deployed to Spaces. Needs an HF account; cloud training on HF Jobs requires a paid plan. - [Hugging Face LLM Trainer](https://hebbmind.com/ja/skill/huggingface-llm-trainer.md): [Skill] Lets agents fine-tune language and vision models with TRL or Unsloth on Hugging Face Jobs cloud GPUs, supporting SFT, DPO, GRPO and reward models, and convert results to GGUF for local use. Requires an HF Pro or higher paid plan. Maintained by Hugging Face. - [MCP Inspector](https://hebbmind.com/ja/cli/inspector.md): [CLI] The official MCP debugging tool: connect to any MCP server through a web UI, CLI or terminal UI to list and call its tools, resources and prompts. CLI mode outputs JSON, suited to scripts and CI smoke tests. - [Windows-MCP](https://hebbmind.com/ja/mcp/windows-mcp.md): [MCP] Lets agents operate the Windows desktop directly: launch apps, switch windows, simulate keyboard and mouse, read UI elements and run PowerShell, without needing a vision model. Windows only. - [Android Skills](https://hebbmind.com/ja/skill/android-skills.md): [Skill] Google's official Android skill library, targeting areas where models often go wrong: AGP 9 upgrades, XML to Jetpack Compose migration, Navigation 3, R8 analysis, edge-to-edge support and Play Billing Library upgrades. - [Android Skills](https://hebbmind.com/ja/plugin/android-skills.md): [Plugin] Google's official Android agent skills: 25 skills for AGP 9 upgrades, XML-to-Compose migration, Navigation 3, R8 analysis, Play Billing Library upgrades, permissions and intent security, and more. Install with the Android CLI or as a Claude Code plugin. - [Mobile MCP](https://hebbmind.com/ja/mcp/mobile-mcp.md): [MCP] Lets agents control iOS and Android simulators and real devices: reads the accessibility tree first and falls back to screenshot coordinates, and can swipe, install and uninstall apps, record the screen and read device logs. Requires Xcode or Android platform tools. - [Feynman](https://hebbmind.com/ja/cli/feynman.md): [CLI] Open-source research agent: one command runs literature reviews, deep research, paper reviews, paper-code consistency checks and replication plans, searching arXiv, PubMed and more with sources recorded. Good for grad students writing reviews. Run feynman setup to sign in to a model provider. - [garak](https://hebbmind.com/ja/cli/garak.md): [CLI] NVIDIA's open-source LLM vulnerability scanner that probes for prompt injection, jailbreaks, data leakage, hallucination and harmful content, supporting OpenAI, Hugging Face, Bedrock and most REST-accessible models. Scanning cloud models needs their API keys. - [Airtest](https://hebbmind.com/ja/cli/airtest.md): [CLI] NetEase's open-source cross-platform UI automation framework: locates elements by image recognition to automate games and apps on Android, iOS and Windows without touching their code. airtest run executes cases and airtest report builds HTML reports. - [PaperQA2](https://hebbmind.com/ja/cli/paper-qa.md): [CLI] High-accuracy retrieval-augmented Q&A over paper PDFs, text and Office documents, filling in citation metadata, checking retractions and attaching traceable sources to answers. Provides the pqa CLI and a Python library. Needs an LLM API key by default; local models can be configured. - [Harness](https://hebbmind.com/ja/plugin/harness.md): [Plugin] Say build a harness for this project and it designs a domain-specific agent team, generating subagent definitions, companion skills and orchestration, validates them and keeps evolving them from feedback. Supports workflow orchestration, persistent agent teams and subagent delegation. - [App Store Connect CLI](https://hebbmind.com/ja/cli/app-store-connect-cli.md): [CLI] asc CLI for scripting the App Store Connect API: manage builds, TestFlight, metadata, signing and review submissions to automate iOS and macOS releases from the terminal or CI. Ships with a companion agent skill pack. Needs an App Store Connect API key. - [MLX-Audio](https://hebbmind.com/ja/cli/mlx-audio.md): [CLI] Offline speech toolkit for Apple Silicon Macs: CLI text-to-speech (including Chinese and voice cloning) and speech-to-text, for voicing lessons and explainer videos or transcribing lectures and interviews, with data staying local. Needs an M-series Mac and Python 3.10+; MP3 export needs ffmpeg. - [Research Paper Writing Skills](https://hebbmind.com/ja/skill/research-paper-writing-skills.md): [Skill] Turns Peng Sida's public research-writing notes into a skill: revises abstracts, introductions, methods and experiments of ML/CV/NLP papers from a reviewer's view, checks that each claim has experimental evidence, and runs a pre-submission self-check. Pure methodology, no API key. - [stable-diffusion.cpp](https://hebbmind.com/ja/cli/stable-diffusion-cpp.md): [CLI] Diffusion model inference in pure C/C++: one sd-cli command runs SD, FLUX, Qwen Image, Wan and more locally to create or edit images and short videos, with Metal acceleration on Mac. No cloud needed; bring your own model weights and use a release binary or build from source. - [App Store & Google Play Screenshots Generator](https://hebbmind.com/ja/skill/app-store-screenshots.md): [Skill] Has the agent build a local Next.js editor that turns app screenshots into App Store and Google Play marketing images: real device frames, bold headlines, 18 visual styles, multiple languages and RTL layouts, with one-click export of every required size. Needs Node.js. - [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. - [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. Next page: https://hebbmind.com/ja/tools.md?page=4&profession=mobile%2Calgorithm%2Chardware%2Csupport