researcher

Coordinate iterative think-test-reflect cycles until a measurable target is reached.

Updated Apr 1, 2026
One-click install
npx skills add https://github.com/jeverett32/INTEX_2026_SKILLS --skill researcher-jeverett32
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: researcher
Source: https://github.com/jeverett32/INTEX_2026_SKILLS/tree/main/researcher
Command: npx skills add https://github.com/jeverett32/INTEX_2026_SKILLS --skill researcher-jeverett32

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Automates the setup and execution of iterative autonomous experiments by guiding interviews, lab preparation, and continual think–test–reflect cycles until a target outcome is achieved.

Core Features & Use Cases

  • Orchestrates user interviews, lab setup, and experiment planning in a single autonomous workflow.
  • Manages execution loops (think, test, reflect) with logging, branching, and guardrails to ensure safe, auditable experiments.
  • Works across domains where measurable results exist, enabling rapid hypothesis testing and learning.

Quick Start

Prompt the system to start an autonomous researcher session, interview the user, set up a lab, and begin iterative think–test–reflect exploration until a target is reached.

Frequently Asked Questions about researcher

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I set up autonomous experiments with iterative testing cycles?

Autonomous experimentation works by coordinating planning, execution, and logging within a local lab workspace. It guides iterative think, test, and reflect cycles while enforcing safety guardrails until a measurable target is achieved.

What is the think test reflect cycle for autonomous experimentation?

The think test reflect cycle is an iterative experimentation loop that logs results and enforces guardrails for safe testing. It coordinates planning, execution, and reflection to drive continuous learning until a measurable target is reached.

Does autonomous experimentation work across different domains and research fields?

Yes, autonomous experimentation works across any domain that produces measurable results. It uses a lab mindset to orchestrate iterative hypothesis testing, branching, and logging regardless of the specific research field.

How do I structure a SKILL.md file for an autonomous research lab?

A SKILL.md file requires YAML frontmatter containing name and description fields at the root directory. Optional scripts, references, and assets can be included alongside the file while adhering to token hygiene and safety rules.

What are the limitations of using guardrails in autonomous experiment workflows?

Guardrails limit uncontrolled execution by enforcing safety rules and token hygiene during autonomous experiments. They restrict subagent collaboration and branching to operations recorded within the local lab history to ensure auditability.