# 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 ML / AI or Data engineering or Data analysis or HR: 400 items. > - 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. > - HR: Screening, interviews, onboarding, training and employee relations. - [Process Doc](https://hebbmind.com/ja/skill/process-doc.md): [Skill] Turns processes that live in people's heads into SOPs: flowcharts, a RACI matrix (responsible, accountable, consulted, informed), detailed steps and exceptions, ready for handoffs, audits and onboarding. Describe the process or paste existing notes. Official from Anthropic. - [hiring-screener](https://hebbmind.com/ja/skill/hiring-screener.md): [Skill] Screens resumes against a role rubric into a cited shortlist, ignoring irrelevant details like name and age; drafts invite, hold or decline replies, schedules interviews and builds onboarding checklists. Gmail and Calendar are optional, sending only after you confirm. Official from Anthropic. - [Cognee MCP](https://hebbmind.com/ja/mcp/cognee-mcp.md): [MCP] Runs the cognee memory engine as an MCP server whose remember, recall and forget tools write documents and conversations into a knowledge graph and vector store for cross-session retrieval. Start it with Docker or uv first; needs an LLM API key by default, or connect to Cognee Cloud. - [Graphiti MCP Server](https://hebbmind.com/ja/mcp/getzep-mcp-server.md): [MCP] Writes conversations and business data into Graphiti's temporal knowledge graph so agents can retrieve long-term memory by entity, fact and time. Open source from Zep; start FalkorDB or Neo4j and the server with Docker first, and configure an LLM API key. - [persona-hr-coordinator](https://hebbmind.com/ja/skill/persona-hr-coordinator.md): [Skill] HR coordinator persona skill for the gws CLI: schedules onboarding sessions in Calendar, uploads onboarding docs to shared Drive, announces new hires in Chat, and turns email requests into tasks and bulk notices. Needs gws with OAuth via a Google Cloud project; not officially supported by Google. - [gws-forms](https://hebbmind.com/ja/skill/gws-forms.md): [Skill] Built-in gws CLI skill: lets agents create Google Forms, add or edit questions in bulk, publish and read responses, handy for sign-ups, surveys and class feedback. Needs gws with a Google account authorized via your own Google Cloud project; not an officially supported Google product. - [OpenCLI](https://hebbmind.com/ja/cli/opencli.md): [CLI] Turns websites and Electron desktop apps into deterministic CLIs, with built-in adapters for Reddit, Hacker News, Bilibili, Zhihu, Xiaohongshu and more, and lets agents operate any page through your signed-in Chrome. Needs its companion browser extension. - [Interview System Designer](https://hebbmind.com/ja/skill/interview-system-designer.md): [Skill] Helps HR and hiring managers design structured interviews: plans rounds by role and level, builds question banks, competency matrices and scoring rubrics, and suggests ways to reduce interviewer bias and recalibrate. Examples focus on tech roles; optional local Python scripts. - [CHRO Advisor](https://hebbmind.com/ja/skill/chro-advisor.md): [Skill] Chief people officer perspective for HR and founders: hiring plans and headcount costs, salary bands and equity design, org structure, performance calibration and retention. Includes two local Python scripts; pay examples use USD and US city tiers. Have comp and equity plans reviewed. - [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. - [Distilly](https://hebbmind.com/ja/skill/distilly.md): [Skill] Distills a colleague, friend or public figure's chats, documents and public material into a persona profile packaged as a callable skill, for handoffs and preserving know-how. Collects material from Lark, DingTalk, Slack and more. Mind privacy and consent when using others' data. - [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. - [BigQuery Basics](https://hebbmind.com/ja/skill/bigquery-basics.md): [Skill] Manages BigQuery datasets, tables and jobs with the bq and gcloud CLIs, runs SQL queries and loads data, with references for client libraries, MCP and Terraform. Google's official skill; requires a Google Cloud project. - [Google Ads API Account Performance Diagnostics](https://hebbmind.com/ja/skill/google-ads-api-account-diagnostics.md): [Skill] Google's official skill that queries account data through the Google Ads MCP server to diagnose conversion drops, falling leads and impression share lost to bids, budgets or ad rank. Needs a Google Ads account, API credentials (developer token and OAuth) and Python 3.12. - [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. - [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. - [lark-approval](https://hebbmind.com/ja/skill/lark-approval.md): [Skill] Official Lark (Feishu) approval skill: list pending, handled and submitted approvals; approve, reject, transfer, return, remind or withdraw; and find and submit native approvals such as leave or expense requests. Needs lark-cli with app setup and sign-in authorization. - [Lark CLI Skills](https://hebbmind.com/ja/skill/larksuite-skills.md): [Skill] The 20+ skills that ship with the official Lark (Feishu) lark-cli, covering messages, docs, Base, Sheets, calendar, mail, tasks, approvals and meeting notes. Install lark-cli and complete app setup and authorization first. - [lark-cli (Lark CLI)](https://hebbmind.com/ja/cli/larksuite-cli.md): [CLI] Official Lark (Feishu) CLI with 200+ commands for messages, docs, Base, Sheets, calendar, mail, approvals, OKRs, meetings and Minutes, plus 20+ bundled lark-* agent skills and structured output. Create a Lark app and sign in first. - [lark-base (Lark Base)](https://hebbmind.com/ja/skill/lark-base.md): [Skill] Official Lark (Feishu) skill for Lark Base: create tables, add fields, add and edit records, build views, forms and dashboards, or apply ready-made templates, good for sign-ups, asset registers and trackers. Needs lark-cli on a machine with Node.js, plus app setup and authorization. - [lark-calendar (Lark Calendar)](https://hebbmind.com/ja/skill/lark-calendar.md): [Skill] Official Lark (Feishu) skill: view and search events, create or edit meetings and invite attendees, check colleagues' availability and suggest free slots, and book meeting rooms. Needs lark-cli on a machine with Node.js, plus app setup and authorization. - [lark-sheets (Lark Sheets)](https://hebbmind.com/ja/skill/lark-sheets.md): [Skill] Official Lark (Feishu) skill to create and edit Lark Sheets: formulas, charts and pivot tables, conditional formatting and filters, plus import and export of local Excel/CSV, for summaries, budgets and reports. Needs lark-cli on a machine with Node.js, plus app setup and authorization. - [lark-okr](https://hebbmind.com/ja/skill/lark-okr.md): [Skill] Official Lark (Feishu) OKR skill: view OKR cycles, create and edit objectives and key results, update quantitative progress and notes, and adjust alignment, order and weights to drive team goals (no performance reviews). Needs lark-cli and authorization. - [DataX](https://hebbmind.com/ja/cli/datax.md): [CLI] Alibaba's open-source offline data sync tool: JSON job configs batch-sync between heterogeneous sources like MySQL, Oracle, PostgreSQL, Hive, HDFS and MaxCompute, run with python datax.py. Needs JDK 1.8+ and Python; download and unpack the official toolkit. - [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. - [monolith](https://hebbmind.com/ja/cli/monolith.md): [CLI] Bundles a whole web page with its CSS, images, fonts and scripts into a single HTML file that opens offline exactly as it looked, good for archiving pages or handing them to an agent for offline analysis. It does not run JavaScript, so pre-render dynamic pages with a headless browser. - [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/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. - [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. - [dbt](https://hebbmind.com/ja/cli/dbt.md): [CLI] Command-line framework for warehouse modeling and ELT transformations: write models in SQL and let dbt handle dependencies, data tests and documentation. v2 is rewritten in Rust as a single binary. Maintained by dbt Labs; needs a data warehouse connection. - [Apify MCP Server](https://hebbmind.com/ja/mcp/apify-mcp-server.md): [MCP] Lets agents call thousands of ready-made scrapers and automation Actors from Apify Store to pull data from social media, search engines, maps, e-commerce sites and more. Maintained by Apify; needs an Apify account (OAuth) or API token. - [minimax-xlsx](https://hebbmind.com/ja/skill/minimax-xlsx.md): [Skill] MiniMax's official Excel skill: read, analyze, create, edit and validate xlsx files and fix broken formulas. Edits existing files at the XML level to keep formatting, formulas and pivot tables; writes results as formulas with finance-style color coding. Needs Python (pandas); LibreOffice optional. - [pgcli](https://hebbmind.com/ja/cli/pgcli.md): [CLI] PostgreSQL command-line client with smart autocompletion and syntax highlighting. Compatible with psql environment variables, and -c runs a statement and exits, so agents can query databases non-interactively. - [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. - [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. - [mycli](https://hebbmind.com/ja/cli/mycli.md): [CLI] MySQL terminal client with smart autocompletion and syntax highlighting, also compatible with MariaDB and TiDB. Supports --execute and batch mode with CSV or table output, so agents can run SQL directly. - [Presidio CLI](https://hebbmind.com/ja/cli/presidio.md): [CLI] Scans files and directories for personal data such as names, emails and credit card numbers using Presidio Analyzer, with configurable entity types, confidence thresholds and ignore rules. Needs Python 3.10+ and a spaCy language model. - [Datasette](https://hebbmind.com/ja/cli/datasette.md): [CLI] Publishes SQLite databases as browsable, queryable web pages and JSON APIs, with SQL queries, metadata and plugins, and deploys to Cloud Run and other platforms with datasette publish. Great for data exploration and data journalism. Needs Python 3.10+. - [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 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. - [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. Next page: https://hebbmind.com/ja/tools.md?page=4&profession=algorithm%2Cdata-engineering%2Cdata%2Chr