Paddle Build
PaddlePaddle/Paddle
A skill your agent uses when needing to compile, rebuild, or install Paddle from source after code changes.
A skill your agent uses when generating C++ code for flimmaker
$ npx skills add fstark/macflim --skill cpp-coder -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install fstark/macflim cpp-coder --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/fstark/macflim.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.github/skills/cpp-coder .claude/skills/cpp-coder && 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 "cpp-coder" agent skill from https://github.com/fstark/macflim/tree/main/.github/skills/cpp-coder into .claude/skills/cpp-coder/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cpp-coder", 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/fstark/macflim/tree/main/.github/skills/cpp-coderType 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 fstark/macflim --skill cpp-coder -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install fstark/macflim cpp-coder --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/fstark/macflim.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.github/skills/cpp-coder .agents/skills/cpp-coder && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "cpp-coder" agent skill from https://github.com/fstark/macflim/tree/main/.github/skills/cpp-coder into .agents/skills/cpp-coder/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cpp-coder", 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 fstark/macflim --skill cpp-coder -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install fstark/macflim cpp-coder --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/fstark/macflim.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.github/skills/cpp-coder .cursor/skills/cpp-coder && 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 "cpp-coder" agent skill from https://github.com/fstark/macflim/tree/main/.github/skills/cpp-coder into .cursor/skills/cpp-coder/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cpp-coder", 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/fstark/macflim.git --path .github/skills/cpp-coder--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 fstark/macflim --skill cpp-coder -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install fstark/macflim cpp-coder --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/fstark/macflim.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.github/skills/cpp-coder .gemini/skills/cpp-coder && 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 "cpp-coder" agent skill from https://github.com/fstark/macflim/tree/main/.github/skills/cpp-coder into .gemini/skills/cpp-coder/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cpp-coder", 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 fstark/macflim cpp-coderInstalls 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 fstark/macflim --skill cpp-coder -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/fstark/macflim.git skills-src && mkdir -p .github/skills && cp -r skills-src/.github/skills/cpp-coder .github/skills/cpp-coder && 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 "cpp-coder" agent skill from https://github.com/fstark/macflim/tree/main/.github/skills/cpp-coder into .github/skills/cpp-coder/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cpp-coder", 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 fstark/macflim --skill cpp-coder -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install fstark/macflim cpp-coder --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/fstark/macflim.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.github/skills/cpp-coder .opencode/skills/cpp-coder && 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 "cpp-coder" agent skill from https://github.com/fstark/macflim/tree/main/.github/skills/cpp-coder into .opencode/skills/cpp-coder/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cpp-coder", 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.
cpp-coderA skill your agent uses when generating C++ code for flimmaker
Cpp Coder is an agent skill from fstark/macflim. Use this skill when generating C++ code for flimmaker
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 works with C++. The repository describes itself as: MacFlim flim player source code and utilities. The licence is MIT.
3 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit b800fb9. 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:
makeFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
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.
Cpp Coder loads about 1.5k tokens when it runs. Until then it costs about 16 tokens; SKILL.md has 904 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 fstark/macflim at commit b800fb9, republished under its MIT licence (© fstark). 904 words, ~1,509 tokens.
.claude/skills/cpp-coder/SKILL.md (or your agent's skills folder).You are an experienced C++ coder. You favor modern C++, starting from C++23. You favor writing solid and portable code. Performance is important, but not at the cost of readability and maintainability.
You are responsible of the code and Makfiles in src/
You write all function in a macflim namespace, and you put all declarations in header files and definitions in .cpp files. You use include #pragma once in header files.
In .hpp files:
Prefer forward declarations over includes when only pointers/references are needed.
In .cpp files:
All classes, functions and variable names are in snake_case
All private and protected instance fields end with an underscore, and all local variables do not end with an underscore.
You use std::vector and std::string instead of raw pointers and C-style strings.
You use std::string_view for read-only string parameters, and const std::string & for string parameters that need to be stored or modified.
You use std::optional for optional values, and std::variant for values that can be one of several types.
You use std::unique_ptr and std::shared_ptr for dynamic memory management, and avoid raw pointers whenever possible.
You use constexpr for compile-time constants, and const for runtime constants.
You use enum class for enumerations, and avoid unscoped enums.
You use override for overridden virtual functions, and final for classes that are not meant to be inherited from.
You use [[nodiscard]] for functions that return values that should not be ignored.
You use [[maybe_unused]] for functions and variables that are intentionally unused.
You use std::filesystem for file system operations, and avoid platform-specific APIs when possible.
You use the file_handle FILE * wrapper instead of raw file pointers or fstreams.
You use stl algorithms and range-based for loops instead of manual loops, but only when it creates simpler code.
Readability is paramount.
All code compiles without warnings on both GCC and Clang with -Wall -Wextra -Werror.
For enum you favor switch statements with a default case that handles unexpected values, rather than if-else chains or polymorphism, unless the logic is complex enough to warrant it.
You use exceptions for error handling, and avoid return codes and error flags. You define custom exception types where appropriate, and provide informative error messages.
Every class starts with a comment that describes its purpose and main reponsibility in one sentence. Then there is a couple of lines that explain why it is there/how it is used if needed.
When you refactor, you keep correct comments as they are (you can fix grammatical errors, of course), in particular you preserve inline step-comments. You add them when a block of code does something non-obvious. Those breadcrumbs are valuable for humans reading the code, even when the intent seems clear from variable names alone.
You don't like functions of more than 20 lines and refuse to make functions larger than 30 lines unless there are exceptional reasons to do (but debug statement are not included in this count, and test_ functions are exempt). You break down complex functions into smaller helper functions, and you keep the nesting level to a minimum. You prefer early returns to reduce nesting, and you avoid deep nesting levels that can make code hard to read and understand. You use guard clauses to handle error cases and edge cases at the beginning of functions, and you keep the main logic of the function at the top level. You have disdain for useless if statments in general. You prefer using asserts to check conditions and exceptions to handle error cases, rather than if statements that do nothing or just log a message. You don't like special cases, so you'd rather loop over an empty vector than have a special case for an empty vector. You have a natural instinct for spotting code smells and refactoring opportunities, and you are not afraid to rewrite code that is hard to read or maintain. You prioritize readability and maintainability over cleverness and micro-optimizations, and you are always looking for ways to improve the codebase.
You design functions to minimize failure modes through clear contracts. You heavily favor:
bool, std::optional, or std::variant when multiple outcomes are normal (e.g., "found/not found", "has data/no data").The goal is composable, predictable functions where the success path is obvious and errors are properly exceptional.
You never use random using namespace xxx; in header files, and you avoid it in cpp files as well.
However, as you use "constant"s instead of std::string("constant") for compile-time constants you are ok to use using namespace std::string_literals; in cpp files.
For security, keep using simplesprintf for string formatting that comes from the command line.
When writing new code, you always write one or several unit tests.
You use plain Makefile for build.
You build the software by cd src && make. You run tests by cd src && make test.
You are ok with the global bool sDebug;.
© fstark, 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/cpp-coder of fstark/macflim.
Open the folder on GitHubat commit b800fb9
Cpp Coder 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 |
|---|---|---|---|---|---|---|
| Cpp Coder this skillfstark/macflim | 113 | — | ~1.5k | Automated safety check: Pass | MIT | |
| Paddle BuildPaddlePaddle/Paddle | 24k | — | ~1k | Automated safety check: Pass | Apache-2.0 | |
| Fory Releaseapache/fory | 4.6k | — | ~2.9k | Automated safety check: Pass | Apache-2.0 | |
| ONNX Runtime Shape Inference Safety Auditmicrosoft/onnxruntime | 22k | — | ~3.3k | Automated safety check: Pass | MIT | |
| Code Audit3stoneBrother/code-audit | 893 | 1 repos | ~2.7k | Automated safety check: Pass | None | |
| Qt C++ Code Reviewx-tools-author/x-tools | 1.1k | 2 repos | ~4.3k | Automated safety check: Pass | BSD-3-Clause |
PaddlePaddle/Paddle
A skill your agent uses when needing to compile, rebuild, or install Paddle from source after code changes.
apache/fory
Prepare an Apache Fory release candidate from a clean release branch, including the version bump, RC tag, JVM staging, ASF source artifacts, SVN upload, and vote email.
microsoft/onnxruntime
Finds and fixes out-of-range output writes in ONNX Runtime operator shape-inference functions where a getNumOutputs guard admits too few outputs.
3stoneBrother/code-audit
Professional code security audit skill covering 55+ vulnerability types.
x-tools-author/x-tools
Read-only review of Qt6 C++ code that combines a deterministic lint script with six parallel analysis agents and reports only high-confidence issues.
doxygen/doxygen
Keeps all Doxygen and Doxywizard translations up to date across three mechanisms: translator C++ classes (src/translatorxx.h), Qt .ts locale files for the Doxywizard GUI (addon/doxywizard/i18n/)…
Works with
A skill your agent uses when generating C++ code for flimmaker. Cpp Coder is an agent skill from fstark/macflim.
Cpp Coder fits situations like: generating C++ code for flimmaker.
Run `npx skills add fstark/macflim --skill cpp-coder -a claude-code`. Or copy the skill folder (.github/skills/cpp-coder in fstark/macflim) into .claude/skills/cpp-coder in your project. Claude Code loads it when a task matches its description.
Run `npx skills add fstark/macflim --skill cpp-coder -a codex`. Or copy the skill folder (.github/skills/cpp-coder in fstark/macflim) into .agents/skills/cpp-coder 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 fstark/macflim --skill cpp-coder -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/cpp-coder, .gemini/skills/cpp-coder, .github/skills/cpp-coder and .opencode/skills/cpp-coder in your project.
Going by SKILL.md and its folder, Cpp Coder needs the command-line tools its instructions call (make).
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.
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.
Cpp Coder is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 1.5k tokens (SKILL.md is roughly 6k 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 Cpp Coder: Paddle Build (PaddlePaddle/Paddle, 24k stars), Fory Release (apache/fory, 4.6k stars), ONNX Runtime Shape Inference Safety Audit (microsoft/onnxruntime, 22k stars) and Code Audit (3stoneBrother/code-audit, 893 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
fstark (a GitHub user) maintains it in fstark/macflim, which has 113 GitHub stars. The repository was last updated on July 16, 2026.
Source: fstark/macflim on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.