Agent skill

Openmp

by mohitmishra786 in mohitmishra786/low-level-dev-skills

OpenMP skill for shared-memory parallel programming. An agent skill from mohitmishra786/low-level-dev-skills.

MITAuto-check passedDevelopment

Install Openmp

skills CLI

$ npx skills add mohitmishra786/low-level-dev-skills --skill openmp -a claude-code

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

GitHub CLI

$ gh skill install mohitmishra786/low-level-dev-skills openmp --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/mohitmishra786/low-level-dev-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/hpc/openmp .claude/skills/openmp && 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 "openmp" agent skill from https://github.com/mohitmishra786/low-level-dev-skills/tree/main/skills/hpc/openmp into .claude/skills/openmp/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "openmp", 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/mohitmishra786/low-level-dev-skills/tree/main/skills/hpc/openmp

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 mohitmishra786/low-level-dev-skills --skill openmp -a codex

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

GitHub CLI

$ gh skill install mohitmishra786/low-level-dev-skills openmp --agent codex

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

Manual copy

$ git clone --depth 1 https://github.com/mohitmishra786/low-level-dev-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/hpc/openmp .agents/skills/openmp && 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 "openmp" agent skill from https://github.com/mohitmishra786/low-level-dev-skills/tree/main/skills/hpc/openmp into .agents/skills/openmp/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "openmp", 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 mohitmishra786/low-level-dev-skills --skill openmp -a cursor

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

GitHub CLI

$ gh skill install mohitmishra786/low-level-dev-skills openmp --agent cursor

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

Manual copy

$ git clone --depth 1 https://github.com/mohitmishra786/low-level-dev-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/hpc/openmp .cursor/skills/openmp && 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 "openmp" agent skill from https://github.com/mohitmishra786/low-level-dev-skills/tree/main/skills/hpc/openmp into .cursor/skills/openmp/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "openmp", 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/mohitmishra786/low-level-dev-skills.git --path skills/hpc/openmp

--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 mohitmishra786/low-level-dev-skills --skill openmp -a gemini-cli

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

GitHub CLI

$ gh skill install mohitmishra786/low-level-dev-skills openmp --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/mohitmishra786/low-level-dev-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/hpc/openmp .gemini/skills/openmp && 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 "openmp" agent skill from https://github.com/mohitmishra786/low-level-dev-skills/tree/main/skills/hpc/openmp into .gemini/skills/openmp/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "openmp", 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 mohitmishra786/low-level-dev-skills openmp

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 mohitmishra786/low-level-dev-skills --skill openmp -a github-copilot

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

Manual copy

$ git clone --depth 1 https://github.com/mohitmishra786/low-level-dev-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/hpc/openmp .github/skills/openmp && 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 "openmp" agent skill from https://github.com/mohitmishra786/low-level-dev-skills/tree/main/skills/hpc/openmp into .github/skills/openmp/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "openmp", 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 mohitmishra786/low-level-dev-skills --skill openmp -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 mohitmishra786/low-level-dev-skills openmp --agent opencode

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

Manual copy

$ git clone --depth 1 https://github.com/mohitmishra786/low-level-dev-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/hpc/openmp .opencode/skills/openmp && 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 "openmp" agent skill from https://github.com/mohitmishra786/low-level-dev-skills/tree/main/skills/hpc/openmp into .opencode/skills/openmp/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "openmp", 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: openmp
GitHub stars: 253
Token cost: ~1.5k tokens
SKILL.md length: 294 words
Files: 1
Skills in repo: 138
Repo updated: Jun 27, 2026
First seen: Oct 7, 2026
Licence: MIT

At a glance

OpenMP skill for shared-memory parallel programming. An agent skill from mohitmishra786/low-level-dev-skills.

Works in 10 steps: Basic parallel for → Schedule clauses → Data sharing attributes → …
Writing parallel for loops
SKILL.md covers Purpose, When to Use, Workflow and Common Problems, plus 1 more section
Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Openmp is an agent skill from mohitmishra786/low-level-dev-skills. OpenMP skill for shared-memory parallel programming. Use when writing parallel for loops, reductions, task parallelism, SIMD directives, GPU offloading, or profiling with Score-P/TAU. Activates on queries about OpenMP, pragma omp, schedule static dynamic, reduction, false sharing, or OMPNUMTHREADS.

Its SKILL.md is about 1.5k 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 Development. The repository describes itself as: A curated suite of AI agent skills for systems and low-level programming with C/C++, Rust, and Zig toolchains, covering compilers, debuggers, profilers, build systems…. The licence is MIT.

When your agent uses it

Writing parallel for loops
Task parallelism
SIMD directives
Profiling with Score-P/TAU

Example prompts

“/openmp”

Workflow steps

10 steps, taken from the step headings in SKILL.md.

Basic parallel for
Schedule clauses
Data sharing attributes
SIMD vectorization hint
Task parallelism
Timing
GPU target offloading (OpenMP 5.x)
Environment variables
Profiling
Pitfalls

What it can do on your machine

Read from SKILL.md and the folder at commit bdc5847. 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 c and bash).
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

Openmp loads about 1.5k tokens when it runs. Until then it costs about 77 tokens; SKILL.md has 294 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~77
When it runs · the whole SKILL.md, loaded when a task matches: ~1.5k

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 mohitmishra786/low-level-dev-skills at commit bdc5847, republished under its MIT licence (© mohitmishra786). 294 words, ~1,470 tokens.

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

name: openmp
description: OpenMP skill for shared-memory parallel programming. Use when writing parallel for loops, reductions, task parallelism, SIMD directives, GPU offloading, or profiling with Score-P/TAU. Activates on queries about OpenMP, pragma omp, schedule static dynamic, reduction, false sharing, or OMP_NUM_THREADS.

OpenMP

Purpose

Guide agents through OpenMP shared-memory parallelism: #pragma omp parallel for with scheduling clauses, reductions, data-sharing attributes, SIMD hints, task parallelism, OpenMP 5.x GPU target offloading, common pitfalls (false sharing, data races), environment tuning, and profiling with Score-P or TAU.

When to Use

Parallelizing C/C++/Fortran loops on multicore CPUs
Implementing reductions (sum, max, custom)
Task parallelism for irregular workloads
Offloading compute to GPU with OpenMP target directives
Diagnosing scaling failures (false sharing, load imbalance)
Tuning thread count and spin behavior

Workflow

1. Basic parallel for

#include <omp.h>
#include <stdio.h>

int main(void) {
    const int n = 1000000;
    double sum = 0.0;

    #pragma omp parallel for reduction(+:sum)
    for (int i = 0; i < n; i++)
        sum += i * 0.001;

    printf("sum = %f, threads = %d\n", sum, omp_get_max_threads());
    return 0;
}

bash

gcc -fopenmp -O3 -o omp_sum omp_sum.c
export OMP_NUM_THREADS=8
./omp_sum

2. Schedule clauses

#pragma omp parallel for schedule(static)          // equal chunks, low overhead
#pragma omp parallel for schedule(dynamic, 64)     // dynamic chunks of 64
#pragma omp parallel for schedule(guided)          // decreasing chunk size
#pragma omp parallel for schedule(auto)            // compiler/runtime decides

Schedule	Best for
`static`	Uniform work per iteration
`dynamic`	Variable iteration cost
`guided`	Decreasing iteration cost
`static,1`	Cache blocking with interleaved chunks

int shared_var = 0;
#pragma omp parallel private(i) shared(shared_var)
{
    int i = omp_get_thread_num();
    #pragma omp atomic
    shared_var += i;
}

// firstprivate — copy in; lastprivate — copy out after loop
#pragma omp parallel for firstprivate(offset) lastprivate(result)
for (int i = 0; i < n; i++) { ... }

Clause	Meaning
`private`	Uninitialized per-thread copy
`shared`	One variable, all threads
`reduction(op:var)`	Combine at end (+, *, max, &&, \|\|)
`firstprivate`	Initialize from master
`lastprivate`	Master gets last iteration value

4. SIMD vectorization hint

#pragma omp simd
for (int i = 0; i < n; i++)
    c[i] = a[i] + b[i];

// SIMD + parallel
#pragma omp parallel for simd
for (int i = 0; i < n; i++)
    c[i] = a[i] * b[i];

Requires -fopenmp-simd or -fopenmp with compiler SIMD support. Check with -fopt-info-vec.

5. Task parallelism

#pragma omp parallel
{
    #pragma omp single
    {
        for (int i = 0; i < 10; i++) {
            #pragma omp task firstprivate(i)
            process_subtree(i);
        }
        #pragma omp taskwait
    }
}

Tasks suit recursive algorithms (quicksort, tree traversal) where loop parallelism doesn't fit.

6. Timing

double start = omp_get_wtime();
#pragma omp parallel for
for (int i = 0; i < n; i++) work(i);
double elapsed = omp_get_wtime() - start;
printf("elapsed: %f s\n", elapsed);

7. GPU target offloading (OpenMP 5.x)

#pragma omp target teams distribute parallel for map(to:a[0:n]) map(from:c[0:n])
for (int i = 0; i < n; i++)
    c[i] = a[i] * 2.0f;

bash

# NVIDIA offload
gcc -fopenmp -foffload=-march=sm_80 -o offload offload.c

# Check device
export OMP_DEFAULT_TARGET_DEVICE=1

Requires compiler offload support (GCC offload, Clang/OpenMP, NVIDIA HPC SDK).

8. Environment variables

bash

export OMP_NUM_THREADS=16
export OMP_PROC_BIND=close        # bind threads to nearby cores
export OMP_PLACES=cores
export GOMP_SPINCOUNT=2000        # spin before sleep
export OMP_WAIT_POLICY=active     # active vs passive waiting
export OMP_DISPLAY_ENV=true       # print config at startup

9. Profiling

bash

# Score-P (compile with wrapper)
scorep gcc -fopenmp -o app app.c
export SCOREP_METRIC_MANAGER=1
scorep ./app
scorep-score -f scorep_*/profile.cubex

# TAU
tau_cc.sh -fopenmp -o app app.c
export TAU_TRACE=1
./app
pprof app profile.*

10. Pitfalls

False sharing: threads modify adjacent cache lines.

// Bad: sum_array[tid] on same cache line
#pragma omp parallel
{
    int tid = omp_get_thread_num();
    sum_array[tid] += local_sum;  // pad to 64 bytes between elements
}

// Fix: padding
double sum_padded[MAX_THREADS][8];  // 8 doubles = 64 bytes

Nested parallelism:

bash

export OMP_MAX_ACTIVE_LEVELS=2
export OMP_NESTED=true   # deprecated; use MAX_ACTIVE_LEVELS

Common Problems

Symptom	Cause	Fix
No speedup	Loop too small	Increase work; check `if` clause threshold
Wrong reduction result	Race on non-reduction var	Use `reduction` or `atomic`
Slower with more threads	False sharing	Pad per-thread arrays
GPU offload fails	No target device	Check `-foffload`; `nvidia-smi`
Threads not bound	Default spread	`OMP_PROC_BIND=close`
Nested deadlock	Oversubscription	Limit `OMP_NUM_THREADS` per level

skills/hpc/mpi — distributed memory complement
skills/low-level-programming/cpu-cache-opt — false sharing deep dive
skills/gpu/cuda — GPU programming alternative to target offload
skills/profilers/intel-vtune-amd-uprof — OpenMP region analysis in VTune
skills/compilers/gcc — -fopenmp flags
skills/allocators/numa-programming — NUMA-aware thread binding

Files

Just SKILL.md in skills/hpc/openmp of mohitmishra786/low-level-dev-skills.

Open the folder on GitHubat commit bdc5847

Compare with similar skills

Openmp 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.

Openmp compared with similar skills
Skill	Stars	Used in	Tokens	Auto-check	Licence	Repo updated
Openmp this skillmohitmishra786/low-level-dev-skills	253	—	~1.5k	Automated safety check: Pass	MIT	3 mo ago
Vercel Composition Patternssupabase/supabase	111k	58 repos	~726	Automated safety check: Pass	MIT	today
Finishing a Development Branchobra/superpowers	297k	5 repos	~1.9k	Automated safety check: Pass	MIT	today
Typescript Advanced Typesrolling-scopes/rsschool-app	10k	25 repos	~4.2k	Automated safety check: Pass	MPL-2.0	5 days ago
PR Babysitteropeninterpreter/openinterpreter	69k	3 repos	~4.2k	Automated safety check: Pass	Apache-2.0	2 days ago
Code Review ChecklistshareAI-lab/learn-claude-code	78k	5 repos	~1.1k	Automated safety check: Pass	MIT	10 days ago

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Questions about Openmp

What does Openmp do?

OpenMP skill for shared-memory parallel programming. An agent skill from mohitmishra786/low-level-dev-skills. Openmp is an agent skill from mohitmishra786/low-level-dev-skills. OpenMP skill for shared-memory parallel programming.

When should I use Openmp?

Openmp fits situations like: writing parallel for loops; task parallelism; SIMD directives; profiling with Score-P/TAU.

How do I install Openmp in Claude Code?

Run `npx skills add mohitmishra786/low-level-dev-skills --skill openmp -a claude-code`. Or copy the skill folder (skills/hpc/openmp in mohitmishra786/low-level-dev-skills) into .claude/skills/openmp in your project. Claude Code loads it when a task matches its description.

How do I install Openmp in Codex?

Run `npx skills add mohitmishra786/low-level-dev-skills --skill openmp -a codex`. Or copy the skill folder (skills/hpc/openmp in mohitmishra786/low-level-dev-skills) into .agents/skills/openmp in your project. Codex loads it when a task matches its description.

Can I use Openmp 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 mohitmishra786/low-level-dev-skills --skill openmp -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/openmp, .gemini/skills/openmp, .github/skills/openmp and .opencode/skills/openmp in your project.

What does Openmp need to run?

SKILL.md names no scripts, command-line tools or credentials: Openmp is instructions for the agent only.

Does Openmp 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 Openmp 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 Openmp use?

Openmp is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Openmp use?

About 1.5k tokens (SKILL.md is roughly 5.9k 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 Openmp?

Skills that share tags, products or a category with Openmp: Vercel Composition Patterns (supabase/supabase, 111k stars), Finishing a Development Branch (obra/superpowers, 297k stars), Typescript Advanced Types (rolling-scopes/rsschool-app, 10k stars) and PR Babysitter (openinterpreter/openinterpreter, 69k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Openmp?

mohitmishra786 (a GitHub user) maintains it in mohitmishra786/low-level-dev-skills, which has 253 GitHub stars. The repository holds 138 skills in this directory. The repository was last updated on June 27, 2026.

Source: mohitmishra786/low-level-dev-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.

Install Openmp

Facts

At a glance

What it does

When your agent uses it

Example prompts

Workflow steps

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

OpenMP

Purpose

When to Use

Workflow

1. Basic parallel for

2. Schedule clauses

3. Data sharing attributes

4. SIMD vectorization hint

5. Task parallelism

6. Timing

7. GPU target offloading (OpenMP 5.x)

8. Environment variables

9. Profiling

10. Pitfalls

Common Problems

Related Skills

Files

Compare with similar skills

Similar skills

More from mohitmishra786/low-level-dev-skills

Related

Questions about Openmp