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Writing & Testing Skills

Skill pack
5 skills0 selected
k-penchevSkills in this pack

Use for PocketTorch AutogradTensor, graph internals, backward traversal, gradient accumulation, autograd operations, finite-difference checks, and preserving Tensor as value-only.

English

Use for PocketTorch README, examples, planning documents, skills, current limits, API snippets, and keeping documentation aligned with implemented behavior and AGENTS.md.

English

Use for PocketTorch architecture, phase alignment, repository structure, dependency decisions, broad planning, and keeping the project small, honest, and aligned with AGENTS.md.

English

Use for PocketTorch Shape, Tensor, storage, indexing, tensor math, shape validation, broadcasting decisions, reductions, matrix operations, and numerical tensor tests.

English

Use for PocketTorch standalone C++ tests, CTest wiring, numerical tolerances, finite-difference checks, deterministic test data, regression coverage, and build verification.

English

Includes Autograd Engineer, Documentation Curator, Project Steward, and other workflows.

Install with
Claude CodeCodexCursorGitHub CopilotGemini CLI

Supported by the Atlas install prompt. Skill-specific requirements vary.

Pack stats

Skills5CategorygeneralStars0

What’s included

Autograd Engineer

Use for PocketTorch AutogradTensor, graph internals, backward traversal, gradient accumulation, autograd operations, finite-difference checks, and preserving Tensor as value-only.

Documentation Curator

Use for PocketTorch README, examples, planning documents, skills, current limits, API snippets, and keeping documentation aligned with implemented behavior and AGENTS.md.

Project Steward

Use for PocketTorch architecture, phase alignment, repository structure, dependency decisions, broad planning, and keeping the project small, honest, and aligned with AGENTS.md.

Tensor Engineer

Use for PocketTorch Shape, Tensor, storage, indexing, tensor math, shape validation, broadcasting decisions, reductions, matrix operations, and numerical tensor tests.

Verification Engineer

Use for PocketTorch standalone C++ tests, CTest wiring, numerical tolerances, finite-difference checks, deterministic test data, regression coverage, and build verification.

Quick start

  1. Choose your skills. Select individual skills above, or choose the entire pack.
  2. Copy the install prompt. Use Copy install prompt above the list.
  3. Send it to your agent. Paste into your coding agent’s chat. Your agent reviews the source and guides the setup.

Try it with your agent

After installation, start with a request like:

Example request
Use the Autograd Engineer skill to help with my task.
Ask me for the context you need before getting started.

Requirements & license

  • A coding agent that can access your project files and install skills.
  • Your agent checks each skill’s instructions, dependencies, and permissions during setup.
  • License details are not provided in these listings. Check the author’s terms before using the skills.
Writing & Testing Skills | Agent Skills Atlas