codex-autoresearch-loop 是做什麼的？
Codex 的自導向迭代研究技能，持續循環執行修改、驗證、保留或捨棄，並重複直到達成可衡量的目標。
Codex 的自導向迭代研究技能，持續循環執行修改、驗證、保留或捨棄，並重複直到達成可衡量的目標。
此技能「codex-autoresearch-loop」專為 Codex 設計，實現了一個自導向的迭代研究流程。它能自動循環執行「修改、驗證、保留或捨棄」的步驟，直到滿足預設的可衡量目標。對於需要反覆優化程式碼或進行探索性研究的開發者來說，這項技能能大幅提升效率，因為它無需人工介入即可自主迭代。此技能支援 Codex 平台，並透過解析目標條件來自動判斷何時終止循環。其核心機制是持續追蹤每次迭代的結果，並根據驗證結果決定保留或捨棄修改，最終自動收斂到目標狀態。
npx skills add https://github.com/aradotso/trending-skills/tree/main/skills/codex-autoresearch-loopInstalled? Explore more 研究與資料分析 skills: affaan-m/uspto-database, affaan-m/scholar-evaluation, affaan-m/literature-review · View all 6 →
Codex 的自導向迭代研究技能，持續循環執行修改、驗證、保留或捨棄，並重複直到達成可衡量的目標。
This repo contains 20 individual skills — each has its own dedicated page.
Self-evolving AI agent system with 26 tools, three-layer memory, MCP plugins, and 24/7 self-repair in pure Python.
A collection of specialized AI agent personalities for Claude Code, Cursor, Aider, Windsurf, and other AI coding tools — covering engineering, design, marketing, sales, and more.
Headless browser automation CLI for AI agents using native Rust binary with Chrome DevTools Protocol
AI coding agent skill for Antigravity Manager — a Tauri v2 + Rust desktop app and Docker service that manages multiple Google/Anthropic accounts and proxies them as standard OpenAI/Anthropic/Gemini API endpoints with intelligent account rotation.
Guide to deploying and managing OpenClaw-compatible AI agent systems across cloud, bare metal, and hybrid infrastructure.
Fully autonomous research pipeline that turns a topic idea into a complete academic paper with real citations, experiments, and conference-ready LaTeX.
Structured prompts, vault templates, and autonomous research workflows for AI-assisted genealogy using Claude Code.
Search and retrieve Norwegian company data from Brønnøysundregistrene (the Norwegian Business Registry). Access all ~1.2 million registered companies in Norway.
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A Claude Code plugin that displays a real-time HUD showing context usage, active tools, running agents, and todo progress in your terminal statusline.
Enable multiple Claude Code instances to discover each other and exchange messages in real-time via a local broker daemon and MCP server.
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AI-native terminal multiplexer with programmable socket API, full Playwright-equivalent browser automation, and agent team coordination — built for Claude Code and autonomous agent workflows
Build a persistent knowledge graph of your codebase so Claude reads only what matters — up to 49x fewer tokens on coding tasks.
Personal AI assistant framework supporting multiple chat channels (DingTalk, Feishu, QQ, Discord, etc.) with extensible skills, local/cloud deployment, and cron scheduling.
AI-powered green screen keyer that unmixes foreground colors and generates clean linear alpha channels using neural networks
Personal intelligence agent that aggregates 27 OSINT data sources into a self-hosted Jarvis-style dashboard with Telegram/Discord bots, LLM analysis, and real-time alerts.
LLM-powered A/H/US stock intelligent analysis system with multi-source data, real-time news, AI decision dashboards, and multi-channel push notifications via GitHub Actions.
Expert skill for using DeepSeek-OCR, a vision-language model for optical character recognition with context optical compression supporting documents, PDFs, and images.
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USPTO patent and trademark data workflow for official record lookup, PatentSearch queries, TSDR checks, assignment data, and reproducible IP research logs.
Structured scholarly-work evaluation for papers, proposals, literature reviews, methods sections, evidence quality, citation support, and research-writing feedback.
Systematic literature-review workflow for academic, biomedical, technical, and scientific topics, including search planning, source screening, synthesis, citation checks, and evidence logging.
The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.
Agent skill repository discovered by 10x-chat research.
Review backend code for quality, security, maintainability, and best practices based on established checklist rules. Use when the user requests a review, analysis, or improvement of backend files (e.g., `.py`) under the `api/` directory. Do NOT use for frontend files (e.g., `.tsx`, `.ts`, `.js`). Supports pending-change review, code snippets review, and file-focused review.