research

Orchestrate autonomous research arcs with parallel dispatch and claim verification.

8|1|Updated Jan 21, 2024
One-click install
npx skills add https://github.com/azigler/dotfiles --skill research-azigler
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: research
Source: https://github.com/azigler/dotfiles/tree/main/agents/skills/research
Command: npx skills add https://github.com/azigler/dotfiles --skill research-azigler

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

It turns open-ended technical curiosity into a structured, goal-driven research arc that iterates autonomously, verifies claims, and persists findings for later decisions.

Core Features & Use Cases

  • Goal-driven research arcs: frames an arc, sets iteration and per-item goals, and keeps the thread coherent over multiple rounds.
  • Parallel dispatch + verification: dispatches multiple research subagents when items are independent, then empirically verifies load-bearing claims before folding.
  • Scrutiny and durable knowledge capture: runs adversarial scrutiny, then saves reports into refs/research/ and updates bead notes for long-term traceability.
  • Layering without waiting: converts findings into new questions and automatically schedules the next research layer, supporting autonomous “keep going” loops.

Quick Start

Ask the agent to research a topic, include the question you want answered, and say you want it to stay autonomous while it iterates until the arc goal is satisfied.

Frequently Asked Questions about research

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

FAQPage Schema
How do I run autonomous technical investigation across multiple iterations without manual intervention?

Autonomous technical investigation frames a goal-driven research arc that dispatches parallel subagents, empirically verifies load-bearing claims, and recursively layers findings until the goal hierarchy is satisfied. You provide the research question and enable autonomous iteration.

What is empirical verification of load-bearing claims during a technical research arc?

Empirical verification of load-bearing claims tests critical findings gathered during technical research before folding them into persistent artifacts. This adversarial scrutiny ensures only verified conclusions inform downstream decisions and durable knowledge capture.

How do I archive technical research findings into persistent artifacts for long-term traceability?

Archiving technical research findings into persistent artifacts involves saving reports into persistent refs/research directories and updating bead notes after adversarial scrutiny. This durable knowledge capture ensures long-term traceability of verified claims across iterations.

Can I dispatch parallel research subagents when investigating independent technical questions?

Dispatching parallel research subagents for independent technical questions is supported when items within a research arc have no dependencies. Parallel dispatch accelerates investigation by processing independent research items concurrently before empirical verification and folding.

Does autonomous layered technical investigation require a healthcheck-style preflight before starting?

Autonomous layered technical investigation requires a healthcheck-style preflight before dispatching parallel research items. This preflight validates the research environment and ensures the goal-driven research arc can iterate autonomously without encountering setup failures.