القائمة
Recursive self-improvement engine. Think from first principles, let insights emerge.
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/duclm1x1/Dive-Ai --skill ralph-evolverيبقى الأمر في سطر واحد. مرّر أفقيًا لمراجعته كاملًا قبل النسخ.
تفضّل نسخة محلية؟ نزّل الملفات المتاحة حاليًا لدى SkillsMP.
Persistent memory system for AI agents following Model Context Protocol (MCP). Use for storing long-term memories across sessions, semantic search of past knowledge, building knowledge graphs, auto-injecting context, deduplicating memories, syncing to cloud storage. Essential for agents that need to remember decisions, solutions, preferences, and learned patterns over time.
Persistent memory system for AI agents following Model Context Protocol (MCP). Use for storing long-term memories across sessions, semantic search of past knowledge, building knowledge graphs, auto-injecting context, deduplicating memories, syncing to cloud storage. Essential for agents that need to remember decisions, solutions, preferences, and learned patterns over time.
Master REST and GraphQL API design principles to build intuitive, scalable, and maintainable APIs that delight developers. Use when designing new APIs, reviewing API specifications, or establishing API design standards.
عرض SKILL.md
استنادا إلى تصنيف SOC المهني
| name | ralph-evolver |
| description | Recursive self-improvement engine. Think from first principles, let insights emerge. |
| tags | ["meta","recursive","evolution","emergence","first-principles"] |
| version | 1.0.6 |
Philosophy: Recursion + Emergence + First Principles
Collects multi-dimensional context, not just code structure:
Each signal includes a hypothesis prompt to guide deeper analysis.
Each run doesn't execute a checklist, but asks:
When analyzing itself, evolver asks:
node index.js . # Current directory (positional)
node index.js /path/to/app # Specify path
node index.js . --loop 5 # Run 5 cycles
node index.js --task "fix auth" # Specific task
node index.js --reset # Reset iteration state
The improver can improve itself. This is true recursion.
"Form hypotheses, then verify. Think from first principles."