MCP Server Builder
anthropics/skills
Guides the design and implementation of Model Context Protocol servers in TypeScript or Python, from tool naming and error messages to evaluation.
Vehicle routing (VRP, TSP, PDP) with cuOpt — Python API only.
$ npx skills add NVIDIA/skills --skill cuopt-routing-api-python -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install NVIDIA/skills cuopt-routing-api-python --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/cuopt-routing-api-python .claude/skills/cuopt-routing-api-python && 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 "cuopt-routing-api-python" agent skill from https://github.com/NVIDIA/skills/tree/main/skills/cuopt-routing-api-python into .claude/skills/cuopt-routing-api-python/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cuopt-routing-api-python", 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/cuopt-routing-api-pythonType 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 cuopt-routing-api-python -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install NVIDIA/skills cuopt-routing-api-python --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/cuopt-routing-api-python .agents/skills/cuopt-routing-api-python && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "cuopt-routing-api-python" agent skill from https://github.com/NVIDIA/skills/tree/main/skills/cuopt-routing-api-python into .agents/skills/cuopt-routing-api-python/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cuopt-routing-api-python", 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 cuopt-routing-api-python -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install NVIDIA/skills cuopt-routing-api-python --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/cuopt-routing-api-python .cursor/skills/cuopt-routing-api-python && 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 "cuopt-routing-api-python" agent skill from https://github.com/NVIDIA/skills/tree/main/skills/cuopt-routing-api-python into .cursor/skills/cuopt-routing-api-python/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cuopt-routing-api-python", 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/cuopt-routing-api-python--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 cuopt-routing-api-python -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install NVIDIA/skills cuopt-routing-api-python --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/cuopt-routing-api-python .gemini/skills/cuopt-routing-api-python && 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 "cuopt-routing-api-python" agent skill from https://github.com/NVIDIA/skills/tree/main/skills/cuopt-routing-api-python into .gemini/skills/cuopt-routing-api-python/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cuopt-routing-api-python", 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 cuopt-routing-api-pythonInstalls 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 cuopt-routing-api-python -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/cuopt-routing-api-python .github/skills/cuopt-routing-api-python && 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 "cuopt-routing-api-python" agent skill from https://github.com/NVIDIA/skills/tree/main/skills/cuopt-routing-api-python into .github/skills/cuopt-routing-api-python/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cuopt-routing-api-python", 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 cuopt-routing-api-python -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 cuopt-routing-api-python --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/cuopt-routing-api-python .opencode/skills/cuopt-routing-api-python && 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 "cuopt-routing-api-python" agent skill from https://github.com/NVIDIA/skills/tree/main/skills/cuopt-routing-api-python into .opencode/skills/cuopt-routing-api-python/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cuopt-routing-api-python", 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.
cuopt-routing-api-pythonVehicle routing (VRP, TSP, PDP) with cuOpt — Python API only.
Cuopt Routing API Python is an agent skill from NVIDIA/skills, published by the product's own GitHub organization. Vehicle routing (VRP, TSP, PDP) with cuOpt — Python API only. Use when the user is building or solving routing in Python.
Its SKILL.md is about 920 tokens, which your agent loads only when the skill is triggered. The skill folder holds 16 other files, including reference files and assets (for example `BENCHMARK.md`, `assets/README.md` and `assets/pdp_basic/README.md`).
It works with Python. 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 Apache-2.0.
5 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 0e0d506. 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.
Ships script files (Python), which the agent can run.
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.
Cuopt Routing API Python loads about 919 tokens when it runs, and up to ~4.1k if it reads all its reference files. Until then it costs about 37 tokens; SKILL.md has 213 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 0e0d506, republished under its Apache-2.0 licence (© NVIDIA). 213 words, ~919 tokens.
.claude/skills/cuopt-routing-api-python/SKILL.md (or your agent's skills folder). This skill also uses 11 other files; get the full folder from GitHub.This skill is Python only. Routing has no C API in cuOpt.
Ask these if not already clear:
import cudf
from cuopt import routing
cost_matrix = cudf.DataFrame([...], dtype="float32")
dm = routing.DataModel(n_locations=4, n_fleet=2, n_orders=3)
dm.add_cost_matrix(cost_matrix)
dm.set_order_locations(cudf.Series([1, 2, 3], dtype="int32"))
solution = routing.Solve(dm, routing.SolverSettings())
if solution.get_status() == 0:
solution.display_routes()# Time windows
dm.add_transit_time_matrix(transit_time_matrix)
dm.set_order_time_windows(earliest_series, latest_series)
# Capacities
dm.add_capacity_dimension("weight", demand_series, capacity_series)
dm.set_order_service_times(service_times)
dm.set_vehicle_locations(start_locations, end_locations)
dm.set_vehicle_time_windows(earliest_start, latest_return)
# Pickup-delivery pairs
dm.set_pickup_delivery_pairs(pickup_indices, delivery_indices)
# Precedence
dm.add_order_precedence(node_id=2, preceding_nodes=np.array([0, 1]))status = solution.get_status() # 0=SUCCESS, 1=FAIL, 2=TIMEOUT, 3=EMPTY
if status == 0:
route_df = solution.get_route()
total_cost = solution.get_total_objective()
else:
print(solution.get_error_message())
print(solution.get_infeasible_orders().to_list())cost_matrix = cost_matrix.astype("float32")
order_locations = cudf.Series([...], dtype="int32")
demand = cudf.Series([...], dtype="int32")ss = routing.SolverSettings()
ss.set_time_limit(30)
ss.set_verbose_mode(True)
ss.set_error_logging_mode(True)| Problem | Fix |
|---|---|
| Empty solution | Widen time windows or check travel times |
| Infeasible orders | Increase fleet or capacity |
| Status != 0 with time windows | Add add_transit_time_matrix() |
| Wrong cost | Check cost_matrix is symmetric |
compute_waypoint_sequence alters route_df | It replaces the location column with waypoint ids in place — pass route_df.copy() if you still need cost-matrix indices (e.g. when iterating per truck) |
When status != 0: print(solution.get_error_message()) and print(solution.get_infeasible_orders().to_list()) to see which orders are infeasible.
Data types: Use explicit dtypes (float32, int32) for matrices and series to avoid silent errors.
assets/ — vrp_basic, pdp_basic. See assets/README.md.For contribution or build-from-source, see the developer skill.
© NVIDIA, Apache-2.0. 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 11 other files (references, assets) in skills/cuopt-routing-api-python of NVIDIA/skills.
Open the folder on GitHubat commit 0e0d506
Cuopt Routing API Python 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 |
|---|---|---|---|---|---|---|
| Cuopt Routing API Python this skillNVIDIA/skills | 3.5k | — | ~919 | Automated safety check: Pass | Apache-2.0 | |
| MCP Server Builderanthropics/skills | 180k | 62 repos | ~2.3k | Automated safety check: Pass | Apache-2.0 | |
| PDF Processinganthropics/skills | 180k | 48 repos | ~2k | Automated safety check: Pass | Proprietary | |
| NotebookLM Research AssistantPleasePrompto/notebooklm-skill | 7.8k | 13 repos | ~2.4k | Automated safety check: Notes | MIT | |
| Manim Video Productionbrowser-use/video-use | 28k | 6 repos | ~3k | Automated safety check: Pass | MIT | |
| Code Review ChecklistshareAI-lab/learn-claude-code | 78k | 5 repos | ~1.1k | Automated safety check: Pass | MIT |
anthropics/skills
Guides the design and implementation of Model Context Protocol servers in TypeScript or Python, from tool naming and error messages to evaluation.
anthropics/skills
Handles everyday PDF jobs in Python and on the command line: extract text and tables, merge, split, rotate, watermark, fill forms, encrypt and OCR.
PleasePrompto/notebooklm-skill
Lets Claude Code ask questions of your Google NotebookLM notebooks through browser automation and return answers grounded in your uploaded sources.
browser-use/video-use
Produces math and technical explainer videos with Manim Community Edition: concept animations, equation derivations, algorithm walkthroughs and data stories.
shareAI-lab/learn-claude-code
Reviews code against a five-part checklist covering security, correctness, performance, maintainability and testing, and reports findings in a fixed format.
hugohe3/ppt-master
Generates editable PowerPoint decks, rebuilds slides from images, fills .pptx templates and polishes existing presentations through routed workflows.
NVIDIA/skills
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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.
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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.
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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
Vehicle routing (VRP, TSP, PDP) with cuOpt — Python API only. Cuopt Routing API Python is an agent skill from NVIDIA/skills, published by the product's own GitHub organization. Vehicle routing (VRP, TSP, PDP) with cuOpt — Python API only.
Cuopt Routing API Python fits situations like: the user is building; solving routing in Python.
Run `npx skills add NVIDIA/skills --skill cuopt-routing-api-python -a claude-code`. Or copy the skill folder (skills/cuopt-routing-api-python in NVIDIA/skills) into .claude/skills/cuopt-routing-api-python in your project. Claude Code loads it when a task matches its description.
Run `npx skills add NVIDIA/skills --skill cuopt-routing-api-python -a codex`. Or copy the skill folder (skills/cuopt-routing-api-python in NVIDIA/skills) into .agents/skills/cuopt-routing-api-python 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 cuopt-routing-api-python -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/cuopt-routing-api-python, .gemini/skills/cuopt-routing-api-python, .github/skills/cuopt-routing-api-python and .opencode/skills/cuopt-routing-api-python in your project.
Going by SKILL.md and its folder, Cuopt Routing API Python needs Python for the scripts in its folder. Our summary lists: Python 3.
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.
Cuopt Routing API Python is published under the Apache-2.0 licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
About 919 tokens (SKILL.md is roughly 3.7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 3.2k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Cuopt Routing API Python: MCP Server Builder (anthropics/skills, 180k stars), PDF Processing (anthropics/skills, 180k stars), NotebookLM Research Assistant (PleasePrompto/notebooklm-skill, 7.8k stars) and Manim Video Production (browser-use/video-use, 28k 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 3,534 GitHub stars. The repository holds 380 skills in this directory. The repository was last updated on October 7, 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.