Code Review Checklist
shareAI-lab/learn-claude-code
Reviews code against a five-part checklist covering security, correctness, performance, maintainability and testing, and reports findings in a fixed format.
Delegate complex coding tasks to a specialist model. An agent skill from benchflow-ai/benchflow.
Install Code Specialist
$ npx skills add benchflow-ai/benchflow --skill code-specialist -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install benchflow-ai/benchflow code-specialist --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/benchflow-ai/benchflow.git skills-src && mkdir -p .claude/skills && cp -r skills-src/benchmarks/models-as-skills .claude/skills/code-specialist && 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 "code-specialist" agent skill from https://github.com/benchflow-ai/benchflow/tree/main/benchmarks/models-as-skills into .claude/skills/code-specialist/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "code-specialist", 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/benchflow-ai/benchflow/tree/main/benchmarks/models-as-skillsType 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 benchflow-ai/benchflow --skill code-specialist -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install benchflow-ai/benchflow code-specialist --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/benchflow-ai/benchflow.git skills-src && mkdir -p .agents/skills && cp -r skills-src/benchmarks/models-as-skills .agents/skills/code-specialist && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "code-specialist" agent skill from https://github.com/benchflow-ai/benchflow/tree/main/benchmarks/models-as-skills into .agents/skills/code-specialist/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "code-specialist", 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 benchflow-ai/benchflow --skill code-specialist -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install benchflow-ai/benchflow code-specialist --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/benchflow-ai/benchflow.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/benchmarks/models-as-skills .cursor/skills/code-specialist && 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 "code-specialist" agent skill from https://github.com/benchflow-ai/benchflow/tree/main/benchmarks/models-as-skills into .cursor/skills/code-specialist/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "code-specialist", 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/benchflow-ai/benchflow.git --path benchmarks/models-as-skills--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 benchflow-ai/benchflow --skill code-specialist -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install benchflow-ai/benchflow code-specialist --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/benchflow-ai/benchflow.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/benchmarks/models-as-skills .gemini/skills/code-specialist && 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 "code-specialist" agent skill from https://github.com/benchflow-ai/benchflow/tree/main/benchmarks/models-as-skills into .gemini/skills/code-specialist/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "code-specialist", 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 benchflow-ai/benchflow code-specialistInstalls 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 benchflow-ai/benchflow --skill code-specialist -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/benchflow-ai/benchflow.git skills-src && mkdir -p .github/skills && cp -r skills-src/benchmarks/models-as-skills .github/skills/code-specialist && 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 "code-specialist" agent skill from https://github.com/benchflow-ai/benchflow/tree/main/benchmarks/models-as-skills into .github/skills/code-specialist/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "code-specialist", 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 benchflow-ai/benchflow --skill code-specialist -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install benchflow-ai/benchflow code-specialist --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/benchflow-ai/benchflow.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/benchmarks/models-as-skills .opencode/skills/code-specialist && 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 "code-specialist" agent skill from https://github.com/benchflow-ai/benchflow/tree/main/benchmarks/models-as-skills into .opencode/skills/code-specialist/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "code-specialist", 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
code-specialist- GitHub stars
- 353
- Token cost
- ~225 tokens
- SKILL.md length
- 91 words
- Files
- 3
- Skills in repo
- 8
- Repo updated
- First seen
- Licence
- Apache-2.0
At a glance
Delegate complex coding tasks to a specialist model. An agent skill from benchflow-ai/benchflow.
- Works in 3 steps: What the code should do (input → output) → Constraints (time/space complexity,… → Edge cases to handle
- Facing algorithmic challenges
- SKILL.md covers When to delegate and How to use
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Code Specialist is an agent skill from benchflow-ai/benchflow. Delegate complex coding tasks to a specialist model. Use when facing algorithmic challenges, performance optimization, or tricky debugging that benefits from focused code expertise.
Its SKILL.md is about 230 tokens, which your agent loads only when the skill is triggered. The skill folder holds 3 other files (for example `evals/evals.json` and `models-as-skills.md`).
It sits in Development, covering Performance optimization. The repository describes itself as: Research infra for creating RL environments, post-training, and evals. The licence is Apache-2.0.
When your agent uses it
- Facing algorithmic challenges
- Performance optimization
- Tricky debugging that benefits from focused code expertise
Example prompts
- “/code-specialist”
Workflow steps
3 steps, taken from the first numbered list in SKILL.md.
- What the code should do (input → output)
- Constraints (time/space complexity, language)
- Edge cases to handle
What it can do on your machine
Read from SKILL.md and the folder at commit e965eee. 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.
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
Code Specialist loads about 225 tokens when it runs. Until then it costs about 49 tokens; SKILL.md has 91 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.
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 benchflow-ai/benchflow at commit e965eee, republished under its Apache-2.0 licence (© benchflow-ai). 91 words, ~225 tokens.
Download SKILL.mdSave it as
.claude/skills/code-specialist/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.- name
- code-specialist
- description
- Delegate complex coding tasks to a specialist model. Use when facing algorithmic challenges, performance optimization, or tricky debugging that benefits from focused code expertise.
Code Specialist
When facing a complex coding task, delegate to the specialist rather than solving it yourself.
When to delegate
- Algorithm implementation requiring specific knowledge (graph algorithms, dynamic programming)
- Performance optimization (O(n²) → O(n log n) conversions)
- Debugging complex race conditions or memory issues
- Code generation requiring precise syntax (regex, SQL, shell)
How to use
Describe the problem clearly to the specialist. Include:
- What the code should do (input → output)
- Constraints (time/space complexity, language)
- Edge cases to handle
The specialist returns code that you should integrate into your solution.
© benchflow-ai, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 2 other files in benchmarks/models-as-skills of benchflow-ai/benchflow.
- SKILL.md
- evals/evals.json
- models-as-skills.md
Open the folder on GitHubat commit e965eee
Compare with similar skills
Code Specialist 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 |
|---|---|---|---|---|---|---|
| Code Specialist this skillbenchflow-ai/benchflow | 353 | — | ~225 | Automated safety check: Pass | Apache-2.0 | |
| Code Review ChecklistshareAI-lab/learn-claude-code | 78k | 5 repos | ~1.1k | Automated safety check: Pass | MIT | |
| LLM Torch Profiler Analysissgl-project/sglang | 37k | 2 repos | ~6.4k | Automated safety check: Pass | Apache-2.0 | |
| Pycrazyguitar/pysheeet | 8.2k | — | ~886 | Automated safety check: Pass | MIT | |
| Cmux Debugging Guidemanaflow-ai/cmux | 28k | 1 repos | ~1.1k | Automated safety check: Pass | Custom licence | |
| Electron Heap Snapshot Analysiskeybase/client | 9.3k | — | ~875 | Automated safety check: Pass | BSD-3-Clause |
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Categories
Questions about Code Specialist
What does Code Specialist do?
Delegate complex coding tasks to a specialist model. An agent skill from benchflow-ai/benchflow. Code Specialist is an agent skill from benchflow-ai/benchflow. Delegate complex coding tasks to a specialist model.
When should I use Code Specialist?
Code Specialist fits situations like: facing algorithmic challenges; performance optimization; tricky debugging that benefits from focused code expertise.
How do I install Code Specialist in Claude Code?
Run `npx skills add benchflow-ai/benchflow --skill code-specialist -a claude-code`. Or copy the skill folder (benchmarks/models-as-skills in benchflow-ai/benchflow) into .claude/skills/code-specialist in your project. Claude Code loads it when a task matches its description.
How do I install Code Specialist in Codex?
Run `npx skills add benchflow-ai/benchflow --skill code-specialist -a codex`. Or copy the skill folder (benchmarks/models-as-skills in benchflow-ai/benchflow) into .agents/skills/code-specialist in your project. Codex loads it when a task matches its description.
Can I use Code Specialist 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 benchflow-ai/benchflow --skill code-specialist -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/code-specialist, .gemini/skills/code-specialist, .github/skills/code-specialist and .opencode/skills/code-specialist in your project.
What does Code Specialist need to run?
SKILL.md names no scripts, command-line tools or credentials: Code Specialist is instructions for the agent only.
Does Code Specialist 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 Code Specialist 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 Code Specialist use?
Code Specialist is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Code Specialist use?
About 225 tokens (SKILL.md is roughly 900 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 Code Specialist?
Skills that share tags, products or a category with Code Specialist: Code Review Checklist (shareAI-lab/learn-claude-code, 78k stars), LLM Torch Profiler Analysis (sgl-project/sglang, 37k stars), Py (crazyguitar/pysheeet, 8.2k stars) and Cmux Debugging Guide (manaflow-ai/cmux, 28k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Code Specialist?
benchflow-ai (a GitHub organization) maintains it in benchflow-ai/benchflow, which has 353 GitHub stars. The repository holds 8 skills in this directory. The repository was last updated on October 6, 2026.
Source: benchflow-ai/benchflow on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.