Memorywhale
wuisabel-gif/MemWhale
Query and write durable debugging memory recorded by MemoryWhale.
A skill your agent uses to check or change this machine's NVIDIA display and GPU settings, such as resolution, refresh rate, V-Sync, G-SYNC, brightness, color, and GPU performance.
$ npx skills add NVIDIA/skills --skill g-assist-mcp-skill -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install NVIDIA/skills g-assist-mcp-skill --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/NVIDIA/skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/g-assist-mcp-skill .claude/skills/g-assist-mcp-skill && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "g-assist-mcp-skill" agent skill from https://github.com/NVIDIA/skills/tree/main/skills/g-assist-mcp-skill into .claude/skills/g-assist-mcp-skill/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "g-assist-mcp-skill", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/NVIDIA/skills/tree/main/skills/g-assist-mcp-skillType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add NVIDIA/skills --skill g-assist-mcp-skill -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install NVIDIA/skills g-assist-mcp-skill --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/NVIDIA/skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/g-assist-mcp-skill .agents/skills/g-assist-mcp-skill && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "g-assist-mcp-skill" agent skill from https://github.com/NVIDIA/skills/tree/main/skills/g-assist-mcp-skill into .agents/skills/g-assist-mcp-skill/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "g-assist-mcp-skill", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add NVIDIA/skills --skill g-assist-mcp-skill -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install NVIDIA/skills g-assist-mcp-skill --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/NVIDIA/skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/g-assist-mcp-skill .cursor/skills/g-assist-mcp-skill && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "g-assist-mcp-skill" agent skill from https://github.com/NVIDIA/skills/tree/main/skills/g-assist-mcp-skill into .cursor/skills/g-assist-mcp-skill/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "g-assist-mcp-skill", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/NVIDIA/skills.git --path skills/g-assist-mcp-skill--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add NVIDIA/skills --skill g-assist-mcp-skill -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install NVIDIA/skills g-assist-mcp-skill --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/NVIDIA/skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/g-assist-mcp-skill .gemini/skills/g-assist-mcp-skill && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "g-assist-mcp-skill" agent skill from https://github.com/NVIDIA/skills/tree/main/skills/g-assist-mcp-skill into .gemini/skills/g-assist-mcp-skill/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "g-assist-mcp-skill", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install NVIDIA/skills g-assist-mcp-skillInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add NVIDIA/skills --skill g-assist-mcp-skill -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/NVIDIA/skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/g-assist-mcp-skill .github/skills/g-assist-mcp-skill && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "g-assist-mcp-skill" agent skill from https://github.com/NVIDIA/skills/tree/main/skills/g-assist-mcp-skill into .github/skills/g-assist-mcp-skill/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "g-assist-mcp-skill", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add NVIDIA/skills --skill g-assist-mcp-skill -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install NVIDIA/skills g-assist-mcp-skill --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/NVIDIA/skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/g-assist-mcp-skill .opencode/skills/g-assist-mcp-skill && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "g-assist-mcp-skill" agent skill from https://github.com/NVIDIA/skills/tree/main/skills/g-assist-mcp-skill into .opencode/skills/g-assist-mcp-skill/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "g-assist-mcp-skill", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
g-assist-mcp-skillA skill your agent uses to check or change this machine's NVIDIA display and GPU settings, such as resolution, refresh rate, V-Sync, G-SYNC, brightness, color, and GPU performance.
G Assist MCP Skill is an agent skill from NVIDIA/skills, published by the product's own GitHub organization. Use this skill to check or change this machine's NVIDIA display and GPU settings, such as resolution, refresh rate, V-Sync, G-SYNC, brightness, color, and GPU performance.
Its SKILL.md is about 4k tokens, which your agent loads only when the skill is triggered. The skill folder holds 7 other files (for example `BENCHMARK.md`, `evals/EVAL.md` and `evals/evals-hardware.json`).
It sits in Agent Workflows, covering MCP servers. It works with NVIDIA AI Platform and Model Context Protocol. The repository describes itself as: Agent Skills for NVIDIA products — install into Claude Code, Codex, and other coding agents to run Physical AI, robotics, simulation, CUDA, and RAG workflows end to end. The licence is CC-BY-4.0.
6 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 14a98ae. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
No scripts in the folder and no shell commands in SKILL.md (its code samples are json).
From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
G Assist MCP Skill loads about 4k tokens when it runs. Until then it costs about 48 tokens; SKILL.md has 2,217 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
The full file from NVIDIA/skills at commit 14a98ae, republished under its CC-BY-4.0 licence (© NVIDIA). 2,217 words, ~3,998 tokens.
.claude/skills/g-assist-mcp-skill/SKILL.md (or your agent's skills folder). This skill also uses 6 other files; get the full folder from GitHub.G-Assist exposes NVIDIA display and GPU controls as callable tools. Use them whenever the user wants to view or change NVIDIA display or GPU settings on this machine. The available tools depend on the machine and hardware, so always rely on the G-Assist tools actually available in your session and only use tools that are present.
Use this skill whenever the user wants to know or change how their NVIDIA display or GPU is behaving, or describes a symptom like screen tearing, stutter, a wrong or locked refresh rate, a dim monitor, or washed-out color. Prefer a read-only status check before changing anything. Do not use it to edit images, files, documents, or app windows. It acts only on the real display and GPU hardware, and the available tools depend on the machine, so confirm them at runtime instead of assuming.
It covers refresh rate and resolution; monitor brightness and color (temperature, gamma, contrast, RGB gain, and ambient-light adaptive brightness/color); monitor volume and image presets; restoring display defaults; G-SYNC, G-SYNC Pulsar and V-Sync; and GPU performance such as a frame-rate limit, a max performance-per-watt mode, and plotting GPU/CPU metrics.
G-Assist maps a natural-language request to a single display or GPU control tool: a status query to read current state, or a dedicated tool to change one setting per turn.
gassist MCP server at the path in Setup).gassist server (see Setup).The G-Assist tools come from a stdio MCP server that the host launches. The executable ships at:
C:\ProgramData\NVIDIA Corporation\nvtopps\rise\rise_mcp.exeThat path contains a space (NVIDIA Corporation), and some hosts (for example
Cursor) start MCP servers through cmd.exe, which fails to spawn a command whose
path contains a space. Register the space-free 8.3 short path instead; it
resolves to the same executable and works everywhere:
C:\PROGRA~3\NVIDIA~1\nvtopps\rise\rise_mcp.exeRegister it with your host under a server name (this skill uses gassist). Most
hosts use an mcpServers map like this:
{
"mcpServers": {
"gassist": {
"command": "C:\\PROGRA~3\\NVIDIA~1\\nvtopps\\rise\\rise_mcp.exe"
}
}
}gassist_ prefix (e.g.
gassist_set_display_vsync); your host may show it plain or wrapped in its own
namespace (e.g. mcp__<server>__gassist_...). Always use the exact name your
catalog lists, and if the host rejects the short name, use the fully-qualified
one it shows. Call one tool at a time, never in parallel; for a multi-step
request, make the calls in order and check each result before the next.confirm/force
argument or an environment variable to bypass the prompt. Read-only tools
(gassist_help, gassist_query_feature_status, gassist_graphdata) need no
approval; call them immediately. Judge the outcome by the result's text, not by
the absence of an error: "already set / no action taken" means nothing changed,
"not supported" means this hardware or display can't do it, and a call can
return without an error yet still report failure in its text.Pick the tool from what's actually available in your session, not from memory:
rate (Hz) field marks a refresh-rate tool even if the
text is terse.The tools below are the display and GPU controls G-Assist commonly exposes, grouped by what they do. Availability is hardware-gated, so treat this as a guide and only call tools actually present in your session. In particular, the monitor brightness, color, preset, and adaptive tools (the "Brightness & color" and "Adaptive & presets" groups, plus G-SYNC Pulsar) appear only when a Native G-SYNC display is connected; on machines without one they won't be listed at all, so never assume they exist.
| Category | Tool | What it does | Key argument(s) |
|---|---|---|---|
| Status & help (read-only) | gassist_help | Overview of what G-Assist can do on this machine | None |
gassist_query_feature_status | Read current state of driver/display features (gsync, vsync, brightness, …) | features[] | |
| Display mode | gassist_set_display_res | Set screen resolution (also DEFAULT/MAX/STEP_UP/STEP_DOWN); the screen may flicker and the mode auto-reverts in ~20s unless the host's keep prompt is confirmed | res (a value the panel lists) |
gassist_set_display_refreshrate | Set refresh rate in Hz; valid rates come from the connected panel, so a value like 144 may not exist on every display | rate (integer, must be a rate the panel lists) | |
| Brightness & color | gassist_set_display_brightness | External-monitor brightness (0-100%) | percentage |
gassist_set_display_contrast | External-monitor contrast (50-150) | contrast | |
gassist_set_display_gamma | Display gamma; fixed set of levels, not a range | gamma (string enum: "1.2", "1.4", "1.6", "1.8", "2.0", "2.2", "2.4", "2.6") | |
gassist_set_display_color_temp | Color temperature in Kelvin; fixed set, not a range | kelvin (integer enum: 4000, 5000, 6500, 7500, 8200, 9300, 10000) | |
gassist_set_display_color_balance | Color saturation (global % or 6-axis) | percentage or red/yellow/green/cyan/blue/magenta | |
gassist_set_display_rgb_gain | RGB gain (global % or per-channel) | percentage or red/green/blue | |
gassist_set_display_volume | Monitor/system volume (0-100%) | percentage | |
| Adaptive & presets | gassist_set_adaptive_brightness | Auto-adjust brightness to room light (overrides manual) | enable_brightness (bool) |
gassist_set_adaptive_color | Auto-adjust color temperature to room light (overrides manual) | enable_color (bool) | |
gassist_set_monitor_preset | Switch image preset DEFAULT/ESPORTS (native G-SYNC) | preset | |
gassist_restore_display_default_settings | Reset chosen display settings to defaults | settings[] string enum, these are the only valid keys: COLOR, BRIGHTNESS, CONTRAST, GAMMA, PRESET (1-5 items, unique). There is no restore key for RGB gain, color balance, volume, or color temperature | |
| Sync & latency | gassist_set_display_vsync | Enable/disable V-Sync | enable "0"/"1" |
gassist_set_display_gsync | Enable/disable G-SYNC | enable "0"/"1" | |
gassist_set_gsync_pulsar | Enable/disable G-SYNC Pulsar (reduce motion blur; needs 240/360 Hz) | enabled (bool) | |
| GPU performance | gassist_frl | Frame-rate limiter (FPS; 0 = unlimited) | fps |
gassist_maxppw | Max performance-per-watt mode with a target FPS cap | enable "0"/"1", fps one of "0"/"30"/"60"/"120"/"144" (strings) | |
gassist_graphdata | Plot GPU/CPU metrics over time | metrics[], time "1"-"59" (string, e.g. "2" not 2), unit "secs" or "mins" |
confirm/force argument. (Full
rule, including the display-mode keep-or-revert warning, is in
Instructions step 5.)gassist_query_feature_status to read the current state, (2)
gassist_set_display_vsync with enable "0" to turn V-Sync off, (3)
gassist_set_display_refreshrate to the panel's max, checking each
result before the next (three calls or fewer); don't also change G-SYNC, Pulsar,
or presets unless the user asked.Tool arguments come only from what the user explicitly provides for the current request, matched to the selected tool's parameters (its input schema):
Do not infer, reuse, or carry over values across requests.
Field names and values come from the chosen tool's own parameters; confirm them against the live tool, since shapes vary (some take a percentage, some a "0"/"1" string).
gassist_query_feature_status with features: ["gsync"].gassist_set_display_refreshrate directly with a
rate the panel actually lists. Valid rates come from the connected display, so
144 may not exist; if it isn't available, say so and offer the highest rate the
panel supports.gassist_set_display_brightness with a percentage (or, to follow room
lighting, the different gassist_set_adaptive_brightness). If no brightness tool
is present but others are, don't say the server is down; reply along the lines
of: "I don't have a brightness tool in the G-Assist connector on this display; I
can control things like resolution, refresh rate, V-Sync, the frame-rate limit,
and GPU/CPU metrics. To change brightness, use your monitor's OSD buttons or
Windows display settings."You only choose the tool name and its arguments (which map 1:1 to the tool's
inputSchema); your host formats and sends the underlying MCP call for you.
Every tool call returns a result message; validate it and handle errors before reporting success. On any error, relay the tool's message to the user and do not blindly retry; use the table below to decide the next step.
| Symptom | Cause | Fix |
|---|---|---|
| G-Assist tools missing from your session | Server not connected or still warming up | Wait a few seconds and re-check your available tools; if still missing, tell the user the G-Assist server isn't connected. |
| Tool call reports "not supported" | This hardware or display can't do it | Report it to the user; do not retry the same change with another tool. |
| A requested resolution or refresh rate is rejected (not in the panel's list) | The value isn't one the connected display supports | Tell the user it isn't available and offer the highest or closest value the panel does support; don't retry the same value. |
| A change returns without an error, but the result text says it didn't happen | A failed change can still come back with isError: false | Judge success by the result's text, not the error flag; report the failure and don't claim success. |
| Tool call reports "already set / no action taken" | Value already applied | Treat as success; nothing to change. |
| A display-mode change flickers and a second prompt appears | Expected keep-or-revert: the mode auto-reverts in ~20s unless kept | Treat the second prompt as the keep-or-revert question, not an error; don't call the tool again; report whether it was kept or reverted. |
| The tool for what the user asked isn't in your session, but other G-Assist tools are | Gated off for this hardware/display | Don't say the server is disconnected: say that specific control isn't available through G-Assist here, name what you can control, and point to the monitor OSD or Windows display settings; never invent a tool. |
| Short tool name rejected (e.g. "not a deferrable tool") or a batched call refused | Host-specific tool naming/batching | Use the fully-qualified name the host lists (often mcp__<server>__<tool>) and call one tool at a time (never in parallel). |
© NVIDIA, CC-BY-4.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 6 other files in skills/g-assist-mcp-skill of NVIDIA/skills.
Open the folder on GitHubat commit 14a98ae
G Assist MCP Skill next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| G Assist MCP Skill this skillNVIDIA/skills | 3.6k | — | ~4k | Automated safety check: Pass | CC-BY-4.0 | |
| Memorywhalewuisabel-gif/MemWhale | 154 | — | ~765 | Automated safety check: Pass | MIT | |
| Memorywhale Evidencewuisabel-gif/MemWhale | 154 | — | ~459 | Automated safety check: Pass | MIT | |
| Memorywhale Debuggingwuisabel-gif/MemWhale | 154 | — | ~370 | Automated safety check: Pass | MIT | |
| MCP Server Builderanthropics/skills | 180k | 63 repos | ~2.3k | Automated safety check: Pass | Apache-2.0 | |
| MCP Server BuildershareAI-lab/learn-claude-code | 78k | 4 repos | ~1.2k | Automated safety check: Pass | MIT |
wuisabel-gif/MemWhale
Query and write durable debugging memory recorded by MemoryWhale.
wuisabel-gif/MemWhale
Use MemoryWhale debugging evidence when the user requests recall or a recurring failure may have relevant recorded history.
wuisabel-gif/MemWhale
MemoryWhale debugging; compiler failures; terminal diagnostics.
anthropics/skills
Guides the design and implementation of Model Context Protocol servers in TypeScript or Python, from tool naming and error messages to evaluation.
shareAI-lab/learn-claude-code
Walks through building MCP servers in Python or TypeScript that expose tools, resources and prompts to Claude, with templates, registration and testing.
anthropics/claude-plugins-official
Explains how to bundle Model Context Protocol servers in a Claude Code plugin, covering config files, stdio, SSE, HTTP and WebSocket server types, and authentication.
NVIDIA/skills
A skill your agent uses when the user wants to deploy, run, debug, tear down, or call the REST API of the RTVI-CV 2D detection / tracking microservice.
NVIDIA/skills
Generates, validates, compares and explains HOLOLINK_def.svh macro files for the HSB IP, using bundled Python scripts and asking before it writes anything.
NVIDIA/skills
Runs and validates an end-to-end Mission Control demo in a locally installed Isaac Sim, with a Nova Carter robot driven through a Python server.
NVIDIA/skills
Orchestrates defect image generation for PCBA, metal surface and glass inspection with NVIDIA Cosmos AnomalyGen on OSMO, from cold-start Day 0 to real-photo Day 1 labeling.
NVIDIA/skills
Orchestrates video data augmentation and auto-labeling workflows on OSMO, from flow selection and preflight checks to submission, monitoring and output download.
NVIDIA/skills
Runs NVIDIA TAO Data Services KPI analysis on object detection results, comparing predictions to ground truth and writing per-class precision, recall and AP to a CSV.
Works with
Categories
A skill your agent uses to check or change this machine's NVIDIA display and GPU settings, such as resolution, refresh rate, V-Sync, G-SYNC, brightness, color, and GPU performance. G Assist MCP Skill is an agent skill from NVIDIA/skills, published by the product's own GitHub organization. Use this skill to check or change this machine's NVIDIA display and GPU settings, such as resolution, refresh rate, V-Sync, G-SYNC, brightness, color, and GPU performance.
G Assist MCP Skill fits situations like: change this machines NVIDIA display and GPU settings; such as resolution; GPU performance.
Run `npx skills add NVIDIA/skills --skill g-assist-mcp-skill -a claude-code`. Or copy the skill folder (skills/g-assist-mcp-skill in NVIDIA/skills) into .claude/skills/g-assist-mcp-skill in your project. Claude Code loads it when a task matches its description.
Run `npx skills add NVIDIA/skills --skill g-assist-mcp-skill -a codex`. Or copy the skill folder (skills/g-assist-mcp-skill in NVIDIA/skills) into .agents/skills/g-assist-mcp-skill in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add NVIDIA/skills --skill g-assist-mcp-skill -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/g-assist-mcp-skill, .gemini/skills/g-assist-mcp-skill, .github/skills/g-assist-mcp-skill and .opencode/skills/g-assist-mcp-skill in your project.
SKILL.md names no scripts, command-line tools or credentials: G Assist MCP Skill is instructions for the agent only.
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
G Assist MCP Skill is published under the CC-BY-4.0 licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
About 4k tokens (SKILL.md is roughly 16k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with G Assist MCP Skill: Memorywhale (wuisabel-gif/MemWhale, 154 stars), Memorywhale Evidence (wuisabel-gif/MemWhale, 154 stars), Memorywhale Debugging (wuisabel-gif/MemWhale, 154 stars) and MCP Server Builder (anthropics/skills, 180k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
NVIDIA (a GitHub organization, an official publisher) maintains it in NVIDIA/skills, which has 3,555 GitHub stars. The repository holds 390 skills in this directory. The repository was last updated on October 9, 2026.
Source: NVIDIA/skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.