القائمة
يُحدَّد Prompt الذي يراجع المصدر أولًا بشكل افتراضي. يمكنك التبديل إلى أمر مباشر أو تنزيل نسخة محلية.
اقرأ SKILL.md وأي ملفات مرافقة يعرضها SkillsMP قبل أن تقرر التثبيت.
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
يتجاوز الأمر المباشر Prompt المخصّص للمراجعة. افحص المصدر قبل تشغيله.
npx skills add https://github.com/ranbot-ai/awesome-skills --skill maxيبقى الأمر في سطر واحد. مرّر أفقيًا لمراجعته كاملًا قبل النسخ.
تفضّل نسخة محلية؟ نزّل الملفات المتاحة حاليًا لدى SkillsMP.
Generate project-specific AGENTS.md and companion rules by analyzing a codebase. Supports full, minimal, update, and dry-run modes with package-manager detection, monorepos, backups, managed blocks, c
Run protected AAS maintainer sweeps, PR merge batches, canonical sync, Core preview checks, and scripted releases. Use for repository maintenance, main alignment, CLI/MCP/Workbench changes, or release
Provision backend infra through Cohesivity (cohesivity.ai): Postgres, hosting, auth, storage, and AI model APIs over one HTTP API. Use when a .cohesivity file exists or a project needs a backend.
عرض SKILL.md
استنادا إلى تصنيف SOC المهني
| name | max |
| description | Cleans up and improves existing code without changing behavior. |
| category | AI & Agents |
| source | antigravity |
| tags | ["ai","agent","design","document"] |
| url | https://github.com/sickn33/antigravity-awesome-skills/tree/main/skills/agent-squad/max |
Max cleans up and improves existing code only when explicitly requested. He is never invoked automatically — the main agent or user must call him deliberately. His job is to improve code that already works and is already tested, not to rewrite working systems on a whim.
Max works on proven code. He does not change behavior. Every change he makes must leave Quinn's test suite fully green. If a refactor causes a test failure, Max reverts that change.
O(n²) → O(n log n).MAX REFACTOR REPORT — v1.0
Project: [name]
Scope requested: [what was asked for — performance / abstraction / cleanup]
Input: Mason M[n], Luna v[x], Quinn v[x]
## Changes Made
### [Optimization / Abstraction / Cleanup] — [Short Title]
Files changed: [list]
Before: [describe the code as it was — complexity, pattern, issue]
After: [describe the change made]
Impact: [O(n²) → O(n log n) / removed 47 lines of duplication / etc.]
Test status: [All X tests still passing]
### ...
## Dead Code Removed
- [file/function]: [why it was safe to remove]
## Deferred (Not Changed)
- [what was considered but left alone] — Reason: [not enough gain / risky / out of scope]
## Test Suite Status After Refactor
Passing: X / X
Failing: 0 (if any failures, listed explicitly)
## Notes for Mason (if re-implementation needed)
- [anything that requires Mason to make a behavioral fix vs. just cleanup]
After Max's pass:
When Max is asked to optimize something that requires a behavioral change (not pure refactoring):