Agent skill

Lightweight Calculation

by NVIDIA-AI-Blueprints in NVIDIA-AI-Blueprints/deep-researcher-agent

A skill your agent uses for small deterministic calculations during research when pandas/table analysis is unnecessary.

Apache-2.0Auto-check passedData & Analytics

Install Lightweight Calculation

skills CLI

$ npx skills add NVIDIA-AI-Blueprints/deep-researcher-agent --skill lightweight-calculation -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI

$ gh skill install NVIDIA-AI-Blueprints/deep-researcher-agent lightweight-calculation --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy

$ git clone --depth 1 https://github.com/NVIDIA-AI-Blueprints/deep-researcher-agent.git skills-src && mkdir -p .claude/skills && cp -r skills-src/src/deep_researcher_agent/agents/deep_researcher/skills/research/lightweight-calculation .claude/skills/lightweight-calculation && rm -rf skills-src

Use ~/.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/

Paste into Claude Code

Install the "lightweight-calculation" agent skill from https://github.com/NVIDIA-AI-Blueprints/deep-researcher-agent/tree/develop/src/deep_researcher_agent/agents/deep_researcher/skills/research/lightweight-calculation into .claude/skills/lightweight-calculation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lightweight-calculation", 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

$skill-installer install https://github.com/NVIDIA-AI-Blueprints/deep-researcher-agent/tree/develop/src/deep_researcher_agent/agents/deep_researcher/skills/research/lightweight-calculation

Type 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.

skills CLI

$ npx skills add NVIDIA-AI-Blueprints/deep-researcher-agent --skill lightweight-calculation -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install NVIDIA-AI-Blueprints/deep-researcher-agent lightweight-calculation --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/NVIDIA-AI-Blueprints/deep-researcher-agent.git skills-src && mkdir -p .agents/skills && cp -r skills-src/src/deep_researcher_agent/agents/deep_researcher/skills/research/lightweight-calculation .agents/skills/lightweight-calculation && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "lightweight-calculation" agent skill from https://github.com/NVIDIA-AI-Blueprints/deep-researcher-agent/tree/develop/src/deep_researcher_agent/agents/deep_researcher/skills/research/lightweight-calculation into .agents/skills/lightweight-calculation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lightweight-calculation", 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.

skills CLI

$ npx skills add NVIDIA-AI-Blueprints/deep-researcher-agent --skill lightweight-calculation -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install NVIDIA-AI-Blueprints/deep-researcher-agent lightweight-calculation --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/NVIDIA-AI-Blueprints/deep-researcher-agent.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/src/deep_researcher_agent/agents/deep_researcher/skills/research/lightweight-calculation .cursor/skills/lightweight-calculation && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "lightweight-calculation" agent skill from https://github.com/NVIDIA-AI-Blueprints/deep-researcher-agent/tree/develop/src/deep_researcher_agent/agents/deep_researcher/skills/research/lightweight-calculation into .cursor/skills/lightweight-calculation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lightweight-calculation", 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

$ gemini skills install https://github.com/NVIDIA-AI-Blueprints/deep-researcher-agent.git --path src/deep_researcher_agent/agents/deep_researcher/skills/research/lightweight-calculation

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add NVIDIA-AI-Blueprints/deep-researcher-agent --skill lightweight-calculation -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install NVIDIA-AI-Blueprints/deep-researcher-agent lightweight-calculation --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/NVIDIA-AI-Blueprints/deep-researcher-agent.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/src/deep_researcher_agent/agents/deep_researcher/skills/research/lightweight-calculation .gemini/skills/lightweight-calculation && rm -rf skills-src

Use ~/.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/

Paste into Gemini CLI

Install the "lightweight-calculation" agent skill from https://github.com/NVIDIA-AI-Blueprints/deep-researcher-agent/tree/develop/src/deep_researcher_agent/agents/deep_researcher/skills/research/lightweight-calculation into .gemini/skills/lightweight-calculation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lightweight-calculation", 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.

GitHub CLI

$ gh skill install NVIDIA-AI-Blueprints/deep-researcher-agent lightweight-calculation

Installs 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).

skills CLI

$ npx skills add NVIDIA-AI-Blueprints/deep-researcher-agent --skill lightweight-calculation -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ git clone --depth 1 https://github.com/NVIDIA-AI-Blueprints/deep-researcher-agent.git skills-src && mkdir -p .github/skills && cp -r skills-src/src/deep_researcher_agent/agents/deep_researcher/skills/research/lightweight-calculation .github/skills/lightweight-calculation && rm -rf skills-src

Use ~/.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/

Paste into GitHub Copilot

Install the "lightweight-calculation" agent skill from https://github.com/NVIDIA-AI-Blueprints/deep-researcher-agent/tree/develop/src/deep_researcher_agent/agents/deep_researcher/skills/research/lightweight-calculation into .github/skills/lightweight-calculation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lightweight-calculation", 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.

skills CLI

$ npx skills add NVIDIA-AI-Blueprints/deep-researcher-agent --skill lightweight-calculation -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install NVIDIA-AI-Blueprints/deep-researcher-agent lightweight-calculation --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/NVIDIA-AI-Blueprints/deep-researcher-agent.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/src/deep_researcher_agent/agents/deep_researcher/skills/research/lightweight-calculation .opencode/skills/lightweight-calculation && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "lightweight-calculation" agent skill from https://github.com/NVIDIA-AI-Blueprints/deep-researcher-agent/tree/develop/src/deep_researcher_agent/agents/deep_researcher/skills/research/lightweight-calculation into .opencode/skills/lightweight-calculation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lightweight-calculation", 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.

Facts

Skill name: lightweight-calculation
GitHub stars: 886
Token cost: ~657 tokens
SKILL.md length: 201 words
Files: 1
Skills in repo: 15
Repo updated: Oct 9, 2026
First seen: Oct 7, 2026
Licence: Apache-2.0

At a glance

A skill your agent uses for small deterministic calculations during research when pandas/table analysis is unnecessary.

Works in 6 steps: Identify the exact input values and… → Use execute with a short Python script… → Do not hand-compute values in prose when… → …
Small deterministic calculations during research when pandas/table analysis is unnecessary
SKILL.md covers Required Execution Standard, Execution Pattern, Python Template and Output Guidance
Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Lightweight Calculation is an agent skill from NVIDIA-AI-Blueprints/deep-researcher-agent. Use this skill for small deterministic calculations during research when pandas/table analysis is unnecessary. Triggers: "calculate", "arithmetic", "unit conversion", "percentage point", "expected value", "weighted average", "range", "ratio", "sanity check", "implied value", "probability conversion". Outputs: concise calculation notes, JSON snippets, or Markdown bullets returned in your ResearchNotes for later synthesis.

Its SKILL.md is about 660 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Data & Analytics, covering DataFrames. It works with pandas and Python. The repository describes itself as: The NVIDIA Deep Researcher Agent Blueprint is an open reference example for building intelligent AI agents that connect to your enterprise data, reason using state-of-the-art… The licence is Apache-2.0.

When your agent uses it

Small deterministic calculations during research when pandas/table analysis is unnecessary
Tasks that involve DataFrames

Example prompts

“calculate”
“arithmetic”
“unit conversion”
“/lightweight-calculation”

Requirements

Python 3

Workflow steps

6 steps, taken from the first numbered list in SKILL.md.

Identify the exact input values and their source references.
Use execute with a short Python script for arithmetic, ratios, probability conversion, expected value, weighted averages, confidence/range…
Do not hand-compute values in prose when the arithmetic affects a finding.
Use /workspace for sandbox-local files. Sandbox code cannot read or write /shared/ directly.
Return the final result in your ResearchNotes after the successful execute call (not via write_file); run_research_batch persists your…
State assumptions, rounding rules, missing inputs, and source references.

What it can do on your machine

Read from SKILL.md and the folder at commit 951a1a1. It shows what the files ask for, not the result of running them.

Tool permissions
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.
Runs code
No scripts in the folder and no shell commands in SKILL.md (its code samples are python and markdown).
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Lightweight Calculation loads about 657 tokens when it runs. Until then it costs about 112 tokens; SKILL.md has 201 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~112
When it runs · the whole SKILL.md, loaded when a task matches: ~657

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.

Safety

Auto-check passed

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.

SKILL.md

The full file from NVIDIA-AI-Blueprints/deep-researcher-agent at commit 951a1a1, republished under its Apache-2.0 licence (© NVIDIA-AI-Blueprints). 201 words, ~657 tokens.

Download SKILL.mdSave it as .claude/skills/lightweight-calculation/SKILL.md (or your agent's skills folder).

name: lightweight-calculation
description: Use this skill for small deterministic calculations during research when pandas/table analysis is unnecessary. Triggers: "calculate", "arithmetic", "unit conversion", "percentage point", "expected value", "weighted average", "range", "ratio", "sanity check", "implied value", "probability conversion". Outputs: concise calculation notes, JSON snippets, or Markdown bullets returned in your ResearchNotes for later synthesis.

Lightweight Calculation Skill

Use this skill when the research task needs a small reproducible calculation but does not need full table normalization. Keep the calculation narrow and source-grounded.

Required Execution Standard

Identify the exact input values and their source references.
Use execute with a short Python script for arithmetic, ratios, probability conversion, expected value, weighted averages, confidence/range arithmetic, or unit conversion.
Do not hand-compute values in prose when the arithmetic affects a finding.
Use /workspace for sandbox-local files. Sandbox code cannot read or write /shared/ directly.
Return the final result in your ResearchNotes after the successful execute call (not via write_file); run_research_batch persists your returned notes to /shared/.
State assumptions, rounding rules, missing inputs, and source references.

Execution Pattern

Gather the relevant figures from source-tool output or research notes.
Run a compact Python calculation with explicit variables.
Inspect output and fix any code issue before using the result.
Include a short calculation summary (Markdown or JSON) in your ResearchNotes for synthesis.
Cite the original source IDs in the eventual ResearchFinding; the calculation artifact is supporting work, not a substitute for sources.

Python Template

python

from decimal import Decimal, ROUND_HALF_UP

inputs = {
    "market_probability": Decimal("0.62"),
    "payout_if_yes": Decimal("1.00"),
    "price": Decimal("0.62"),
}

expected_value = inputs["market_probability"] * inputs["payout_if_yes"] - inputs["price"]
percentage = (inputs["market_probability"] * Decimal("100")).quantize(
    Decimal("0.1"),
    rounding=ROUND_HALF_UP,
)

print(f"Implied probability: {percentage}%")
print(f"Expected value per $1 payout contract: {expected_value:.3f}")
print("Assumptions: probability and price are current source values.")

Output Guidance

Keep the saved artifact short:

markdown

# Calculation Check: [topic]

- Inputs: ...
- Formula: ...
- Result: ...
- Rounding: ...
- Caveats: ...

Files

Just SKILL.md in src/deep_researcher_agent/agents/deep_researcher/skills/research/lightweight-calculation of NVIDIA-AI-Blueprints/deep-researcher-agent.

Open the folder on GitHubat commit 951a1a1

Compare with similar skills

Lightweight Calculation 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.

Lightweight Calculation compared with similar skills
Skill	Stars	Used in	Tokens	Auto-check	Licence	Repo updated
Lightweight Calculation this skillNVIDIA-AI-Blueprints/deep-researcher-agent	886	—	~657	Automated safety check: Pass	Apache-2.0	today
Chdb Datastorevemetric/vemetric	395	2 repos	~1.4k	Automated safety check: Pass	Apache-2.0	yesterday
CSV Data Summarizercoffeefuelbump/csv-data-summarizer-claude-skill	468	2 repos	~1.4k	Automated safety check: Pass	None	11 mo ago
Pandas ProJeffallan/claude-skills	12k	1 repos	~1.5k	Automated safety check: Pass	MIT	6 days ago
Python Executorcortega26/chile-hub	113	2 repos	~1.5k	Automated safety check: Pass	MIT	today
Retentioneering Product Analyticsretentioneering/retentioneering-tools	927	—	~1.6k	Automated safety check: Pass	Apache-2.0	2 days ago

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Works with

Questions about Lightweight Calculation

What does Lightweight Calculation do?

A skill your agent uses for small deterministic calculations during research when pandas/table analysis is unnecessary. Lightweight Calculation is an agent skill from NVIDIA-AI-Blueprints/deep-researcher-agent. Use this skill for small deterministic calculations during research when pandas/table analysis is unnecessary.

When should I use Lightweight Calculation?

Lightweight Calculation fits situations like: small deterministic calculations during research when pandas/table analysis is unnecessary; tasks that involve DataFrames.

How do I install Lightweight Calculation in Claude Code?

Run `npx skills add NVIDIA-AI-Blueprints/deep-researcher-agent --skill lightweight-calculation -a claude-code`. Or copy the skill folder (src/deep_researcher_agent/agents/deep_researcher/skills/research/lightweight-calculation in NVIDIA-AI-Blueprints/deep-researcher-agent) into .claude/skills/lightweight-calculation in your project. Claude Code loads it when a task matches its description.

How do I install Lightweight Calculation in Codex?

Run `npx skills add NVIDIA-AI-Blueprints/deep-researcher-agent --skill lightweight-calculation -a codex`. Or copy the skill folder (src/deep_researcher_agent/agents/deep_researcher/skills/research/lightweight-calculation in NVIDIA-AI-Blueprints/deep-researcher-agent) into .agents/skills/lightweight-calculation in your project. Codex loads it when a task matches its description.

Can I use Lightweight Calculation in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add NVIDIA-AI-Blueprints/deep-researcher-agent --skill lightweight-calculation -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/lightweight-calculation, .gemini/skills/lightweight-calculation, .github/skills/lightweight-calculation and .opencode/skills/lightweight-calculation in your project.

What does Lightweight Calculation need to run?

SKILL.md names no scripts, command-line tools or credentials: Lightweight Calculation is instructions for the agent only. Our summary lists: Python 3.

Does Lightweight Calculation access the network?

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.

Is Lightweight Calculation safe to install?

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.

What licence does Lightweight Calculation use?

Lightweight Calculation is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Lightweight Calculation use?

About 657 tokens (SKILL.md is roughly 2.6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Lightweight Calculation?

Skills that share tags, products or a category with Lightweight Calculation: Chdb Datastore (vemetric/vemetric, 395 stars), CSV Data Summarizer (coffeefuelbump/csv-data-summarizer-claude-skill, 468 stars), Pandas Pro (Jeffallan/claude-skills, 12k stars) and Python Executor (cortega26/chile-hub, 113 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Lightweight Calculation?

NVIDIA-AI-Blueprints (a GitHub organization) maintains it in NVIDIA-AI-Blueprints/deep-researcher-agent, which has 886 GitHub stars. The repository holds 15 skills in this directory. The repository was last updated on October 9, 2026.

Source: NVIDIA-AI-Blueprints/deep-researcher-agent on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.

Install Lightweight Calculation

Facts

At a glance

What it does

When your agent uses it

Example prompts

Requirements

Workflow steps

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

Lightweight Calculation Skill

Required Execution Standard

Execution Pattern

Python Template

Output Guidance

Files

Compare with similar skills

Similar skills

More from NVIDIA-AI-Blueprints/deep-researcher-agent

Related

Questions about Lightweight Calculation