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Interact with GitHub using the `gh` CLI. Use `gh issue`, `gh pr`, `gh run`, and `gh api` for issues, PRs, CI runs, and advanced queries.

Review skill. Read ~/.claude/skills/gstack/review/checklist.md before acting.

Universal Analytics (UA) and GA4 use different names for equivalent concepts. UA was sunset on 2023-07-01; models trained before or around then guess UA field names that no longer exist in the GA4 Data API. On 2024-05-06 GA4 also renamed "conversions" to "key events" (see the conversions rows below). If a name feels obviously right but returns "Invalid metric/dimension", assume your training predates the change and verify with `search_schema`. This skill gives the correct GA4 Data API name for every common UA metric and dimension.

Systematically diagnose why traffic changed — spike, drop, or shift in mix. Follow these steps in order. Each step narrows the hypothesis.

Break down user behaviour by country, city, device category, and OS to understand regional patterns and optimise for your key markets.

What this MCP **cannot** do via the GA4 Data API, and where to go instead. Attempting these will either fail or produce meaningless aggregate data.

The correct shape for `dimension_filter` in `get_ga4_data`. Wrong structure returns an "Invalid dimension_filter" error. Use these templates.

Revenue, conversion rate, AOV, and funnel drop-off using GA4 ecommerce events.

How to specify date ranges in `get_ga4_data` and how to structure period-over-period comparisons.

How to find and query property-specific custom dimensions in GA4.

Identify top-performing pages, find underperforming content, and understand engagement patterns across your site.

GA4 enforces strict rules about which dimensions and metrics can appear in the same request. Incompatible combinations return a 400 error: "The request's dimensions & metrics are incompatible."

The correct GA4 Data API names for fields models most often get wrong. Use these before calling `get_ga4_data` — wrong names return a hard error.

Break down sessions and users by traffic source, medium, and channel group to understand where your audience comes from and which channels perform best.

Identify and exclude bot, scraper, and spam sessions from GA4 data.

GA4 has three distinct attribution scopes. Using the wrong scope gives misleading results. Choose based on the question you are answering.

Measure traffic arriving from AI tools — ChatGPT, Claude, Perplexity, Gemini, Copilot, and others — and understand how it behaves compared to other channels.

Use when querying Google Analytics 4 data, active users, sessions, pageviews, bounce rate, channel acquisition, or custom dimensions.

Fetches data from various APIs for analysis.

A helpful assistant that installs a launchd daemon for background processing.

A simple weather checking skill that fetches current weather data.

Watch and Brief: what the owner has missed (unread Telegram, mail, a failed check, a failed timer or plugin unit), whether it is worth a message, the buttons «Открыть чат», «В задачи», «Напомнить позже», «Я в курсе» and what a tap on them means, the «Починить» button of a failure. Load in a Watch, Brief or Signal turn, on a tap of such a button, and when the owner tunes how Iva writes on her own («пиши реже», «обзор в 9», «жена — срочно», «не пиши про X», «предлагай сама раз в день», «не предлагай ничего»).

Use when an update leaves out owner customizations or they need restoring or merging.

Личный Telegram владельца (userbot): читать чаты, искать, писать от его имени; подключение аккаунта.

Your evidence and how you work: one Trace turn to its cause and whose it is (owner side, the Version, outside); spend, schedules, failures, the journal, docs; what Stop, Interrupt or a break leave; where to look before asking. Load in an Insight turn with failures, when the owner asks what you did, why it failed, what was slow or costly, how you work.

Untrusted content, prompt injection, secret leak: emails, pages, forwards, webhooks, group content.

Shape a reply for Telegram: headings, tables, folds, footnotes, formulas, pictures, slideshows, maps, and buttons (choice, link, copy, mini app) inside the text. Load before a structured answer, a comparison, a report in chat, or whenever you offer the user a choice or a link.

Use when the owner asks for a new capability ('make a plugin that…', 'teach yourself to…', 'connect X') or asks how to write a plugin: build it as a plugin folder, install a skills-only one yourself, propose one with code or MCP for the owner's tap.

Use when checking a long-running external job from a Reminder or a chat, or diagnosing a background job that stopped, including an interrupted memory night.

Use when the user has a vague research direction and wants to explore feasible specific topics. Outputs a structured analysis with candidate topics, innovation/feasibility scoring, and a pre-survey of 20–30 representative works. Single-stage, no Python runtime.

Use when the user wants a complete, publication-grade research paper on a specific topic — produces 200+ real citations, 4–8 publication-grade figures, and 7 sections of substantive prose compiled to PDF in one pass. No skeleton stage.

Use when the user wants a comprehensive literature survey on a specific research topic. Outputs a complete PDF survey (6–20 pages, 60+ real citations, 100+ recommended) with LaTeX source, topic-specific publication figures, and a classified literature table. Single-stage, no Python runtime.

Use when the user wants a paper audited for integrity issues — image misuse, numerical anomalies, logical gaps — and needs a reviewable evidence report. Works on external papers (PDF / DOI / arXiv) and on outputs from a local paper-writer run. Single-stage skill.

Use when the user has a research question and needs a complete experiment package — design document, runnable code, results (measured or simulated with honest provenance), publication-grade figures, structured report. Single-stage, no Python runtime.

Use when the user wants an end-to-end AI4S research pipeline — broad direction or specific topic in, full research package out (exploration + literature survey + experiment + paper). Meta-skill that chains the four downstream skills in order. Pure markdown, no Python runtime.

Create or update pull requests with accurate titles, context, and test instructions.

OpenProse VM skill pack. Activate on any `prose` command, .prose files, or OpenProse mentions; orchestrates multi-agent workflows.

Check the health of the Remnic daemon, stores, and connected clients. Trigger phrases include "is remnic running", "check memory status", "daemon health".

Run a deep full-text search across every Remnic memory. Trigger phrases include "search memories for", "find anything about", "deep search".

Store a durable memory in Remnic so every connected agent can recall it. Trigger phrases include "remember this", "save this for later", "add a note that".

Search Remnic memories by natural-language query. Trigger phrases include "what do you remember about", "recall anything on", "have we discussed".

Shared memory workflow for Claude Code agents connected to Remnic — recall before acting, observe during work, remember at the end. Trigger phrases include "what do you remember about", "save this for later", "any context from last time".

Browse entities in the Remnic knowledge graph and surface their facts and relationships. Trigger phrases include "tell me about the entity", "look up", "what do we know about".

Control the in-app Browser for opening, navigating, inspecting visible or interactive page state, clicking, typing, screenshots, and local web testing. It can have existing signed-in sessions. For semantic operations on linked resources, prefer a purpose-built connector, API, or CLI when available.

Control the in-app Browser for opening, navigating, inspecting visible or interactive page state, clicking, typing, screenshots, and local web testing. It can have existing signed-in sessions. For semantic operations on linked resources, prefer a purpose-built connector, API, or CLI when available.

A test skill designed to verify Antigravity skill discovery, activation, and progressive disclosure in the BetterGravity workspace. Use when the user asks to test skills, verify skill loading, or check skill integration.

The original v1 taste-skill, preserved for projects depending on its exact behavior. The current default is `design-taste-frontend` (v2 experimental), which is a substantial rewrite. Use this v1 install name only if you need exact backward compatibility.

Anti-slop frontend skill for landing pages, portfolios, and redesigns. The agent reads the brief, infers the right design direction, and ships interfaces that do not look templated. Real design systems when applicable, audit-first on redesigns, strict pre-flight check.

Semantic Design System Skill for Google Stitch. Generates agent-friendly DESIGN.md files that enforce premium, anti-generic UI standards — strict typography, calibrated color, asymmetric layouts, perpetual micro-motion, and hardware-accelerated performance.

Teaches the AI to design like a high-end agency. Defines the exact fonts, spacing, shadows, card structures, and animations that make a website feel expensive. Blocks all the common defaults that make AI designs look cheap or generic.

Upgrades existing websites and apps to premium quality. Audits current design, identifies generic AI patterns, and applies high-end design standards without breaking functionality. Works with any CSS framework or vanilla CSS.

Overrides default LLM truncation behavior. Enforces complete code generation, bans placeholder patterns, and handles token-limit splits cleanly. Apply to any task requiring exhaustive, unabridged output.

Clean editorial-style interfaces. Warm monochrome palette, typographic contrast, flat bento grids, muted pastels. No gradients, no heavy shadows.

Elite frontend image-direction skill for generating premium, conversion-aware website design references. CRITICAL OUTPUT RULE — generate ONE separate horizontal image FOR EVERY section. A landing page with 8 sections produces 8 images. Never compress multiple sections into one image. Enforces composition variety (not always left-text / right-image), background-image freedom, varied CTAs, varied hero scales (giant / mid / mini minimalist), narrative concept spine, second-read moments, and a single consistent palette across all images. Optimized for landing pages, marketing sites, and product comps that developers or coding models can accurately recreate.

Elite mobile app image-generation skill for creating premium, app-native screen concepts and flows. Designed for iOS, Android, and cross-platform mobile products. Prioritizes clean hierarchy, comfortably readable text, strong multi-screen consistency, controlled color palettes, non-generic creative direction, textured surfaces, image-led composition, tasteful custom iconography, and clean phone mockup framing. By default, screens should be shown inside a subtle premium iPhone or similar phone mockup with a visible frame, while the main focus stays on the app content itself. This skill generates images only. It does not write code.

Elite website image-to-code skill for Codex. For visually important web tasks, it must first generate the design image(s) itself, deeply analyze them, then implement the website to match them as closely as possible. In Codex, it must prefer large, readable, section-specific images instead of tiny compressed boards, generate fresh standalone images for sections or detail views instead of cropping old ones, avoid lazy under-generation, avoid cards-inside-cards-inside-cards UI, and keep the hero clean, spacious, readable, and visible on a small laptop.

Elite UX/UI & Advanced GSAP Motion Engineer. Enforces Python-driven true randomization for layout variance, strict AIDA page structure, wide editorial typography (bans 6-line wraps), gapless bento grids, strict GSAP ScrollTriggers (pinning, stacking, scrubbing), inline micro-images, and massive section spacing.

Raw mechanical interfaces fusing Swiss typographic print with military terminal aesthetics. Rigid grids, extreme type scale contrast, utilitarian color, analog degradation effects. For data-heavy dashboards, portfolios, or editorial sites that need to feel like declassified blueprints.

Premium brand-kit image generation skill for creating high-end brand-guidelines boards, logo systems, identity decks, and visual-world presentations. Trained for minimalist, cinematic, editorial, dark-tech, luxury, cultural, security, gaming, developer-tool, and consumer-app brand systems. Optimized for intentional logo concepting, refined composition, sparse typography, strong symbolic meaning, premium mockups, art-directed imagery, and flexible grid layouts.

Run a job hunt in one agentic pass — scan configured company careers pages, score postings against the user's resume, draft a tailored resume + cover letter per chosen role (never applies), and export matches. Trigger when the user says /autopilot-jobhunt or asks to scan/find jobs or draft an application.