Инструменты

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).

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.

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.

Turns an Obsidian vault into a local-first knowledge base: imports sources into interlinked notes with citations, answers questions from what is already in the vault, and adds 15 skills including search, vault health checks and Canvas knowledge graphs.

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.

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+.

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.

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.

Turns Claude Code or Codex into a motion studio: from your site or product it writes storyboards, animates shots and adds sound, rendering promo videos with Remotion. Edit further in a browser workspace or export JianYing drafts. Needs Node.js and ffmpeg; Remotion may need a paid license.

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.

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.

Classic network discovery and security auditing tool: host discovery, port scanning, service version and OS detection, plus vulnerability checks with NSE scripts. Only scan networks you are authorized to test.

Turns Markdown outlines into interactive HTML mind maps you can collapse and zoom, with inlined assets for offline use and a watch mode that refreshes live. Good for mapping requirements, lesson planning and organizing knowledge.

Scans container images, filesystem directories and SBOMs for known vulnerabilities across major Linux distro packages and many language ecosystems, ranks risk by EPSS and KEV, and filters results with OpenVEX. Good for vulnerability gates in CI. Maintained by Anchore.

curl for gRPC: call any gRPC method with JSON, including bidirectional streaming, browse service definitions via server reflection, proto source files or protosets, with TLS and mutual TLS support.

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.

Estimates cloud costs of Terraform, Terragrunt, CloudFormation and AWS CDK changes before deployment and checks them against FinOps policies, in the terminal, editor, AI agents or CI. Requires an Infracost account; a free tier is available.

A du replacement written in Rust that shows disk usage as a directory tree with proportion bars, making large files and folders easy to spot. Filter by depth, count or regex, and output JSON with -j for agents to parse.

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.