Autonomous Research Loop | Agent Skills Atlas

About this skill

Run bounded autonomous research iterations with evidence gates, recovery ledgers, and optional cross-agent handoffs; prefers host-owned multi-agent panel with single-path drive primary; scripted force-loop defaults (Goal Focus enforce, hard goalpriority, notify ON). Use when the user asks to continue research autonomously, run a research loop, integrate autonomous agent loops, or keep improving a research workflow without repeated prompts.

Quick start

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Original listing metadata

Original name

autonomous-research-loop

Original description

Run bounded autonomous research iterations with evidence gates, recovery ledgers, and optional cross-agent handoffs; prefers host-owned multi-agent panel with single-path drive primary; scripted force-loop defaults (Goal Focus enforce, hard goal_priority, notify ON). Use when the user asks to continue research autonomously, run a research loop, integrate autonomous agent loops, or keep improving a research workflow without repeated prompts.

About this listing

Category: Science & research
Reported license: MIT
Listing language (estimated): English
Review status: Not individually reviewed
Agent compatibility: Atlas installation supports Claude Code, Codex, and Cursor. Skill-specific dependencies and features are checked during setup.