onetbb-quickstart SKILL.md skillA

onetbb-quickstart from intel/skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add intel/skills/onetbb-quickstart@v1.0

Pins v1.0 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
intel/skills
Path
skills/onetbb-quickstart/SKILL.md
Versions recorded
2
Latest version
v1.0, committed Oct 10, 2026
First version recorded
Sep 3, 2026
Size
6,115 bytes
Repository stars
29
License
Apache-2.0

Getting started with Intel oneTBB for C++ parallelism on Intel CPUs. Use when a C++ loop or reduction should run on multiple threads with oneTBB, including a request to make an existing loop or function use all cores with oneTBB or TBB; when the user needs the headers, namespace, or CMake wiring for a first oneTBB program; when a parallel_for body has a data race; or when a reduction is accumulating into a shared variable. Covers parallel_for and parallel_reduce over blocked_range, the build…

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# oneTBB quickstart

## Purpose

Parallelizes C++ loops and reductions with Intel oneAPI Threading Building Blocks
on Intel CPUs: the umbrella header, `parallel_for` and `parallel_reduce` over a
`blocked_range`, the CMake lines that link it, and the assumptions the task-based
model breaks.

Prefer oneTBB over hand-rolled threads when the work is a bounded loop or a
reduction over a container: the partitioner decides the split, and the runtime
composes with other oneTBB-based libraries in the same process instead of
oversubscribing the machine.

## When to Use This Skill

Use this skill when:

- A C++ loop or reduction is a candidate for multithreading.
- A first oneTBB program needs headers, namespace, and CMake wiring.
- A `parallel_for` body has a race on shared state.
- A reduction accumulates into one variable from many threads.

Do **not** use this skill for GPU offload, for OpenMP or `std::thread` questions,
or for tuning an existing oneTBB program's grain size and partitioners — that is
past "getting started" and belongs with a profile in hand.

## Quick Start

```cpp
#include <oneapi/tbb.h>            // umbrella header

int main() {
    oneapi::tbb::parallel_for(
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add intel/skills/onetbb-quickstart@sha256:c3dea8a78782cbe7

The line at the top of this page pins the label v1.0, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_si4mk5kvcgqse7xa.svg)](https://markdownregistry.com/a/art_si4mk5kvcgqse7xa)

1 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 2 versions of this file, between Sep 3, 2026 and Oct 10, 2026, about one every 37 days.

versioncommittedcommitsizeaudit
v1.0 latest2026-10-10 8c9490d 6,115 BA view · diff
v1.02026-09-03 b1ad034 5,910 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (6115 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

intel/skills · 29 stars · license Apache-2.0 · pushed 2026-11-06 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_si4mk5kvcgqse7xa
GET https://markdownregistry.com/api/v1/resolve?ref=intel/skills/onetbb-quickstart
GET https://markdownregistry.com/api/v1/blob/c3dea8a78782cbe761343a570fcae89b47bf3bc14f48d1112c9adab79427d2e3

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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