Tools

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.

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.

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.

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.

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.

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.

AWS's official unified CLI for managing EC2, S3, IAM and every other AWS service with one set of commands, with --query (JMESPath) filtering and JSON output that agents can use to inspect and change cloud resources. Run aws configure to set credentials first.

Semantic multi-language static analysis: find vulnerabilities and bugs with rules that look like source code, across 30+ languages with custom rules. Scans locally by default without uploading code; cross-file analysis and Pro rules require sign-in.

Semgrep's official MCP server, now part of the main semgrep repo and started with semgrep mcp: lets agents run static security scans, find issues with custom rules and inspect syntax trees. Requires the Semgrep CLI; connecting to the AppSec platform needs SEMGREP_APP_TOKEN.

Programmable software delivery engine: write build, test and release pipelines with SDKs in Go, Python, TypeScript and five other languages, all running in containers so local and CI behave the same, with built-in OpenTelemetry tracing. Needs a container runtime such as Docker.

Vercel's official CLI: deploy frontend and full-stack projects with one command and manage preview environments, environment variables, domains and logs. Requires a Vercel account (free tier available).

AST-based structural code search, lint and bulk rewrite tool: matches code patterns rather than text, with $VAR wildcards for nodes, making it well suited to agents doing large cross-file refactors.

Official Cloudflare Tunnel client: exposes local services to the internet without opening firewall ports and can proxy TCP access like SSH and RDP. Named tunnels need a Cloudflare account and domain; quick tunnels work without signing in.

Lightweight command-line processor with jq-like syntax for reading, modifying and converting YAML, JSON, XML, INI, CSV and more, including in-place config edits. A single dependency-free Go binary.

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.

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.

Multi-language git hook manager: declare formatting, lint, secret scanning and other hooks in .pre-commit-config.yaml to run automatically before each commit, or have the agent self-check with pre-commit run --all-files before committing.

Loads and unloads environment variables per directory: reads .envrc (and optionally .env) when you enter a project and restores the environment when you leave, so configs and secrets do not leak between projects. Hook it into bash, zsh, fish or another shell first.

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.

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+.

Security baseline and compliance checks for AWS, Azure, GCP, Kubernetes, GitHub, M365 and more, with built-in CIS, NIST, PCI-DSS, SOC 2 and other frameworks. Generates reports or opens a local dashboard. Configure credentials for each cloud account first.

Runs React Doctor via npx to scan React code for security, performance, correctness, accessibility and architecture issues with a 0-100 health score; checks changed code for regressions, and on /doctor fetches the official triage playbook to fix issues.

Audits a whole React codebase read-only: runs a React Doctor scan as evidence, vets findings across bugs, performance, accessibility, security and maintainability, ranks them by leverage, then writes self-contained plans other agents can execute. Never edits source.

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.