Menu
Perform a structured code review of changes, checking for correctness, style, tests, and potential issues.
Install with Codex or Claude Copy this prompt, paste it into Codex, Claude, or another assistant, and let it review the skill page and install it for you.
Read the user's coding preferences from /memory/coding-prefs.md before making non-trivial style decisions, and append new preferences when the user gives durable feedback.
Searches arXiv for preprints and academic papers, retrieves abstracts, and filters by topic. Use when the user asks to find research papers, search arXiv, look up preprints, find academic articles in physics, math, CS, biology, statistics, or related fields.
Guide for creating effective skills that extend agent capabilities with specialized knowledge, workflows, or tool integrations. Use this skill when the user asks to: (1) create a new skill, (2) make a skill, (3) build a skill, (4) set up a skill, (5) initialize a skill, (6) scaffold a skill, (7) update or modify an existing skill, (8) validate a skill, (9) learn about skill structure, (10) understand how skills work, or (11) get guidance on skill design patterns. Trigger on phrases like "create a skill", "new skill", "make a skill", "skill for X", "how do I create a skill", or "help me build a skill".
Take a note.
Summarise text into a one-paragraph summary.
Review the current conversation and capture valuable knowledge — best practices, coding conventions, architecture decisions, workflows, and user feedback — into persistent memory (AGENTS.md) or reusable skills. Use when the user says: (1) remember this, (2) save what we learned, (3) update memory, (4) capture learnings.
Based on SOC occupation classification
| name | code-review |
| description | Perform a structured code review of changes, checking for correctness, style, tests, and potential issues. |
Use this skill after implementing changes to validate your work before delivering.
execute("python -m pytest -v")execute("ruff check .")execute("python /skills/code-review/lint_check.py .")/skills/code-review/lint_check.py — Scans Python files for missing
docstrings, long functions (>50 lines), and bare except: clauses. Run it
via execute("python /skills/code-review/lint_check.py [path ...]").