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New This Week
Up to 40 newest skills, MCP servers, tools, LLMs, and agents — sorted by listing time.
- 01LLMWan2.1
Up to 40 newest skills, MCP servers, tools, LLMs, and agents — sorted by listing time.
Wan2.1 is an open suite of video foundation models that excels in video generation tasks including Text-to-Video, Image-to-Video, and Video Editing. It is designed to perform efficiently on consumer-grade GPUs while del…
Seed2.0 is a series of general-purpose agent models optimized for large-scale production deployment. It enhances multimodal understanding and LLM capabilities, making it suitable for complex real-world tasks.
GPT-5.5 is our smartest and most intuitive model yet, designed to enhance productivity on a computer. It understands tasks faster and uses fewer tokens for the same tasks, making it more efficient and capable.
Wan 2.7 is an advanced AI model for video editing and image generation, allowing users to create and customize visuals with text prompts and multi-image guidance. It supports long-form text generation in multiple langua…
Flipbook is an infinite visual browser that generates images on demand in real time. Each page is an image, allowing users to explore content visually without the constraints of text or code.
A fleet of bug-hunting agents in the cloud for code reviews.
Claude Code Ultrareview runs a fleet of bug-hunting agents in the cloud, automatically landing findings in the CLI or Desktop. It's designed to be used before merging critical changes like authentication and data migrat…
Founder-mode review that asks what product is really being built, not just what feature was requested. Supports scope expansion, selective expansion, hold-scope, and scope-reduction modes.
Engineering-manager style review that hardens the plan around architecture, boundaries, state transitions, edge cases, tests, and diagrams before coding starts.
Interactive design-plan review that scores design quality, identifies unresolved UX issues, and improves the plan before anyone ships UI.
DevEx review for developer-facing products. It explores personas, benchmarks onboarding, and scores friction across APIs, CLIs, SDKs, libraries, docs, and platform flows.
Lets users tune how often gstack asks certain planning questions and inspect the psychographic/developer profile inferred from prior interactions.
Design system creation workflow that researches comparable products, proposes an aesthetic system, and writes `DESIGN.md` as the canonical design source of truth.
Converts an approved mockup or design direction into production-oriented HTML/CSS with computed layout and framework-aware output expectations.
Live-site visual QA plus fixes. It looks for spacing, hierarchy, AI slop, consistency, and interaction issues and can iterate with before/after verification.
Debugging workflow with an explicit rule: no fixes until the root cause is understood. The flow is investigate, analyze, hypothesize, then implement.
Developer-experience audit that actually runs onboarding and documentation flows, measures time-to-happy-path, and compares reality against planning assumptions.
Full QA loop that tests the product, fixes discovered issues, re-verifies the fixes, and can generate regression coverage. Supports multiple severity tiers.
Same testing methodology as `/qa`, but report-only. It is for bug finding without any code edits.
Handles release preparation steps such as syncing base, running checks, updating release metadata, pushing, and opening the PR.
Post-deploy monitoring loop that watches a live app for page failures, performance regressions, and console issues.
Performance benchmarking skill focused on web loads, Core Web Vitals, and regressions across runs or changes.
After shipping, it syncs README, architecture docs, contributing docs, changelog, and related project documentation to match the current code.
Headless Chromium-based testing browser for screenshots, interaction, layout checking, form handling, and state verification.
Launches a visible AI-controlled browser window with the GStack sidebar and anti-bot behavior for live observation and control.
Imports cookies from a real browser into the headless browser context so authenticated flows can be tested.
Detects platform-specific deployment details and writes the config needed for future `land-and-deploy` runs.
Clears the directory edit boundary previously set by `/freeze`.
Grants browser access to another AI agent with scoped permissions and per-agent tab/session isolation.
Safety hook that intercepts destructive shell commands and asks before running risky operations like recursive delete, data-destruction SQL, reset-hard, or force-push.
Sets a session-wide edit boundary so file changes only happen inside a chosen directory.
Combines `/careful` and `/freeze` for maximum safety when working in sensitive environments.
Wrapper around OpenAI Codex CLI for code review, adversarial challenge mode, and consultation with follow-up continuity.
Quality dashboard skill that wraps project checks and reports a weighted health score and trend line.
Weekly engineering retrospective over code activity, trends, and team contributions.
Restores saved context, including across branch changes and workspace handoffs.
Saves decisions, git state, and pending work so future sessions can resume without reconstructing context from scratch.
Security-audit skill that combines application security, infrastructure review, CI/CD checks, supply-chain scanning, LLM security, OWASP framing, and STRIDE analysis.
Self-updater for gstack installs, including vendored/global detection and release summary output.
PDF generation skill for turning markdown documents into publication-style PDFs with proper layout, TOC, pagination, and print polish.
Times use createdAt (approximate "first seen"). Skills, MCP servers, and tools are APPROVED only; LLMs and agents include all directory rows in range.