Technology Selection
dotnet/skills
Guides technology selection and implementation of AI and ML features in .NET 8+ applications using ML.NET, Microsoft.Extensions.AI (MEAI), Microsoft Agent Framework (MAF), GitHub Copilot SDK, ONNX…
Ensure consistent code formatting using the uv package manager and pre-commit.
$ npx skills add brendanhasz/probflow --skill formatting -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install brendanhasz/probflow formatting --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/brendanhasz/probflow.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.github/skills/formatting .claude/skills/formatting && 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 "formatting" agent skill from https://github.com/brendanhasz/probflow/tree/main/.github/skills/formatting into .claude/skills/formatting/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "formatting", 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/brendanhasz/probflow/tree/main/.github/skills/formattingType 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 brendanhasz/probflow --skill formatting -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install brendanhasz/probflow formatting --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brendanhasz/probflow.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.github/skills/formatting .agents/skills/formatting && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "formatting" agent skill from https://github.com/brendanhasz/probflow/tree/main/.github/skills/formatting into .agents/skills/formatting/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "formatting", 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 brendanhasz/probflow --skill formatting -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install brendanhasz/probflow formatting --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brendanhasz/probflow.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.github/skills/formatting .cursor/skills/formatting && 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 "formatting" agent skill from https://github.com/brendanhasz/probflow/tree/main/.github/skills/formatting into .cursor/skills/formatting/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "formatting", 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/brendanhasz/probflow.git --path .github/skills/formatting--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 brendanhasz/probflow --skill formatting -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install brendanhasz/probflow formatting --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brendanhasz/probflow.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.github/skills/formatting .gemini/skills/formatting && 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 "formatting" agent skill from https://github.com/brendanhasz/probflow/tree/main/.github/skills/formatting into .gemini/skills/formatting/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "formatting", 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 brendanhasz/probflow formattingInstalls 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 brendanhasz/probflow --skill formatting -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/brendanhasz/probflow.git skills-src && mkdir -p .github/skills && cp -r skills-src/.github/skills/formatting .github/skills/formatting && 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 "formatting" agent skill from https://github.com/brendanhasz/probflow/tree/main/.github/skills/formatting into .github/skills/formatting/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "formatting", 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 brendanhasz/probflow --skill formatting -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install brendanhasz/probflow formatting --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brendanhasz/probflow.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.github/skills/formatting .opencode/skills/formatting && 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 "formatting" agent skill from https://github.com/brendanhasz/probflow/tree/main/.github/skills/formatting into .opencode/skills/formatting/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "formatting", 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.
formattingEnsure consistent code formatting using the uv package manager and pre-commit.
Formatting is an agent skill from brendanhasz/probflow. Ensure consistent code formatting using the uv package manager and pre-commit. Trigger this whenever formatting is requested.
Its SKILL.md is about 380 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 AI & LLM Engineering, covering Deep learning, Linting and formatting and Type safety. It works with Python, PyTorch and TensorFlow. The repository describes itself as: A Python package for building Bayesian models with TensorFlow or PyTorch. The licence is MIT.
2 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit e2b3c71. 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.
Shell commands in SKILL.md call:
uvFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md. Its commands use uv, which can reach the network depending on how they are called.
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.
Formatting loads about 381 tokens when it runs. Until then it costs about 34 tokens; SKILL.md has 168 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 brendanhasz/probflow at commit e2b3c71, republished under its MIT licence (© brendanhasz). 168 words, ~381 tokens.
.claude/skills/formatting/SKILL.md (or your agent's skills folder).This skill ensures that all Python code is consistently formatted and type-checked using the uv environment and pre-commit. You must never invoke formatting commands (pre-commit, black, isort, etc.) directly on the host system. Always run the pre-commit pipeline, do not attempt to run formatting or type-checking commands manually (e.g. ruff, mypy, black, isort).
uv run pre-commit run --all-files.After applying any changes and ensuring the tests pass, always run the full formatting pipeline to ensure consistent code style across the project:
# To run the full formatting and type-checking pipeline on all files
uv run pre-commit run --all-filesIf the formatting and type-checking pipeline fails, first try running a second time to check if the issues were able to be auto-fixed.
If the formatting and type-checking pipeline fails a second time, you must manually address the issues before proceeding.
Iterate this process until all formatting and type-checking issues are resolved and the pre-commit pipeline passes successfully.
© brendanhasz, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in .github/skills/formatting of brendanhasz/probflow.
Open the folder on GitHubat commit e2b3c71
Formatting 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 |
|---|---|---|---|---|---|---|
| Formatting this skillbrendanhasz/probflow | 175 | — | ~381 | Automated safety check: Pass | MIT | |
| Technology Selectiondotnet/skills | 5.6k | 2 repos | ~2.1k | Automated safety check: Pass | MIT | |
| Ray Train Distributed TrainingOrchestra-Research/AI-Research-SKILLs | 13k | 3 repos | ~2.7k | Automated safety check: Pass | MIT | |
| Re AI Modeldslsdzc/rev-skills | 125 | — | ~2.4k | Automated safety check: Pass | Apache-2.0 | |
| ExecuTorch Cortex-M Backendpytorch/executorch | 5.1k | — | ~872 | Automated safety check: Pass | Custom licence | |
| Uv Pypi PublishML4ITS/TimeVQVAE | 166 | — | ~178 | Automated safety check: Pass | MIT |
dotnet/skills
Guides technology selection and implementation of AI and ML features in .NET 8+ applications using ML.NET, Microsoft.Extensions.AI (MEAI), Microsoft Agent Framework (MAF), GitHub Copilot SDK, ONNX…
Orchestra-Research/AI-Research-SKILLs
Scales PyTorch, TensorFlow and Hugging Face training from a single GPU to multi-node clusters with Ray Train, including Ray Tune sweeps and checkpoint recovery.
dslsdzc/rev-skills
AI 模型文件逆向与静态分析:ONNX/PyTorch/Safetensors/TFLite 格式解析、 网络结构还原、权重提取、文件级水印分析(权重 pattern/metadata/tensor hash/embedding 异常)。
pytorch/executorch
Developer guide for the Cortex-M (CMSIS-NN) backend in ExecuTorch: quantization pipeline, pass manager, tests and adding new ops.
ML4ITS/TimeVQVAE
Publish a Python package to PyPI using uv with credentials loaded from a local .secrets file.
davila7/claude-code-templates
Cross-platform Python library for quantum computing, quantum machine learning, and quantum chemistry.
brendanhasz/probflow
Run Python unit test suites strictly using the uv package manager and pytest.
Works with
Ensure consistent code formatting using the uv package manager and pre-commit. Formatting is an agent skill from brendanhasz/probflow. Ensure consistent code formatting using the uv package manager and pre-commit.
Formatting fits situations like: this whenever formatting is requested; tasks that involve Deep learning; tasks that involve Linting and formatting.
Run `npx skills add brendanhasz/probflow --skill formatting -a claude-code`. Or copy the skill folder (.github/skills/formatting in brendanhasz/probflow) into .claude/skills/formatting in your project. Claude Code loads it when a task matches its description.
Run `npx skills add brendanhasz/probflow --skill formatting -a codex`. Or copy the skill folder (.github/skills/formatting in brendanhasz/probflow) into .agents/skills/formatting 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 brendanhasz/probflow --skill formatting -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/formatting, .gemini/skills/formatting, .github/skills/formatting and .opencode/skills/formatting in your project.
Going by SKILL.md and its folder, Formatting needs the command-line tools its instructions call (uv). Our summary lists: Python 3.
SKILL.md contains no URLs. Its commands use uv, which can reach the network depending on how they are called. 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.
Formatting is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 381 tokens (SKILL.md is roughly 1.5k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Formatting: Technology Selection (dotnet/skills, 5.6k stars), Ray Train Distributed Training (Orchestra-Research/AI-Research-SKILLs, 13k stars), Re AI Model (dslsdzc/rev-skills, 125 stars) and ExecuTorch Cortex-M Backend (pytorch/executorch, 5.1k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
brendanhasz (a GitHub user) maintains it in brendanhasz/probflow, which has 175 GitHub stars. The repository holds 2 skills in this directory. The repository was last updated on September 26, 2026.
Source: brendanhasz/probflow on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.