Tools

Define cloud infrastructure in general-purpose languages like TypeScript, Python and Go, then preview and deploy with pulumi up to AWS, Azure, GCP, Kubernetes and 300+ other providers. Open source and maintained by Pulumi.

Declarative diagram scripting language: describe architecture diagrams, flowcharts and sequence diagrams in concise text with automatic layout, then render with the d2 command to SVG, PNG, PDF or PPTX. Lets agents produce diagrams you can version-control.

Google's official GKE basics skill: creating clusters, choosing Autopilot or Standard, getting kubectl credentials, configuring Workload Identity and deploying workloads, plus a list of common gotchas. Needs gcloud and a GCP project.

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.

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'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'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.

Community-maintained modern replacement for ls (successor to exa) with colored output, tree view, Git status and file icons, plus .gitignore filtering for quickly scanning directory structures.

Encrypts secret values in YAML, JSON, ENV and INI config files using AWS, GCP or Azure KMS, age or PGP, so secrets can be safely committed to Git alongside code. A CNCF sandbox project.

Continuously records your screen and audio locally, extracting on-screen text and transcribing speech, so agents can search pages, docs and meetings you saw and summarize your day. Data stays local. Needs screenpipe running: source is free for personal use, desktop app is a subscription.

Scripts terminal sessions in .tape files and records them to GIF, MP4 or WebM, great for CLI demos and docs; text snapshot output also enables terminal integration tests. By Charm; requires ttyd and ffmpeg.

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.

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.

Define and run chains of HTTP requests in plain text files, capture variables and assert on status codes, headers and JSONPath or XPath results, for both fetching data and API testing in CI. Open source from Orange.

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.

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.

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.

Sealos's Kubernetes lifecycle CLI: one sealos run deploys a highly available cluster across multiple servers, and cluster images install databases, middleware and other apps, with offline delivery support. Linux only.

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.

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.

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.

Official Lark (Feishu) skill: create and assign tasks, set due dates and reminders, add subtasks, organize task lists, comment and mark tasks done, helping project managers and admins track team work. Needs lark-cli with app setup and authorization; install together with lark-shared.

Official Lark (Feishu) skill to view, export and edit whiteboards in Lark docs: write Mermaid, PlantUML or SVG into a board for flowcharts or org charts, or export boards as images or SVG. New boards are created with lark-doc. Needs lark-cli, Node.js and auth; install with lark-shared.

Official Lark (Feishu) skill to read, create and edit Lark docs and wiki pages, insert or download images and attachments, and work with whiteboards and mind notes. Depends on lark-cli and the lark-shared skill; requires Lark authorization.