Compétence de recherche itérative auto-dirigée pour Codex qui cycle continuellement à travers les étapes de modification, vérification, conservation ou rejet, et répète jusqu'à ce qu'un objectif mesurable soit atteint.
La compétence **aradotso/codex-autoresearch-loop** est conçue pour améliorer les capacités de résolution de problèmes autonome de l'agent Codex. Elle fonctionne en établissant une boucle itérative structurée où l'agent exécute une séquence d'actions : il modifie le code ou les données (modify), vérifie les résultats par rapport à un objectif prédéfini et mesurable (verify), décide de conserver les changements productifs ou de rejeter ceux qui échouent (retain or discard), puis répète le cycle. Cette approche permet à l'agent de s'auto-corriger et de s'auto-améliorer sans intervention humaine, ce qui est particulièrement utile pour les tâches de développement complexes comme le débogage, l'optimisation de code, ou l'exploration de données. La compétence est spécifiquement conçue pour l'outil Codex (par exemple, GitHub Copilot CLI ou CLI autonome), et son fonctionnement repose sur la définition d'un objectif clair et mesurable au début de la session. L'utilisateur n'a qu'à spécifier le but final, et la compétence orchestre le processus de recherche itératif jusqu'à ce que cet objectif soit satisfait ou qu'une limite définie soit atteinte.
npx skills add https://github.com/aradotso/trending-skills/tree/main/skills/codex-autoresearch-loopInstalled? Explore more Recherche et analyse de données skills: affaan-m/uspto-database, affaan-m/scholar-evaluation, affaan-m/literature-review · View all 6 →
Compétence de recherche itérative auto-dirigée pour Codex qui cycle continuellement à travers les étapes de modification, vérification, conservation ou rejet, et répète jusqu'à ce qu'un objectif mesurable soit atteint.
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.
Give AI agents access to your live Chrome session via CDP — interact with open tabs, logged-in accounts, and current page state
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.
Command Line User Interface for Claude Code — a floating macOS desktop overlay with multi-tab sessions, permission approval UI, voice input, and skills marketplace.
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.
Install and use the Edict (三省六部) multi-agent orchestration system with 12 specialized AI agents, real-time kanban dashboard, and audit trails
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.