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ai-research-explore

Orchestrate auditable research campaigns with isolated branches and evaluation contracts.

515|11|Updated Mar 30, 2026
Search Tags:#research#isolation#exploration#campaign#auditable#analysis-outputs
One-click install
npx skills add https://github.com/lllllllama/ai-research-workflow-skills --skill ai-research-explore
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: ai-research-explore
Source: https://github.com/lllllllama/ai-research-workflow-skills/tree/main/skills/ai-research-explore
Command: npx skills add https://github.com/lllllllama/ai-research-workflow-skills --skill ai-research-explore

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

ai-research-explore provides a self-contained, auditable orchestration layer to manage third-scenario research campaigns, ensuring isolated experimentation, a frozen current_research anchor, and a clear trail of outputs for reproducibility.

Core Features & Use Cases

  • End-to-end campaign governance with candidate ideas, analysis, and outputs to support auditable decision making.
  • Isolated exploration via branches or worktrees, preserving the researchers' primary state while enabling experimental projects.
  • Produces structured artifacts and analysis outputs (EVAL_CONTRACT, IDEA_SEEDS, CHANGESET, etc.) for auditability and reuse.

Quick Start

Provide a research_campaign.json or research_campaign.yaml with current_research and task context, then run ai-research-explore to begin bounded, auditable exploration.

Frequently Asked Questions about ai-research-explore

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

FAQPage Schema
How do I orchestrate auditable research workflows without losing my primary state?▼

Auditable research workflows require isolated exploration via branches or worktrees to preserve your primary state while generating structured artifacts like EVAL_CONTRACT and CHANGESET for reproducibility.

What is campaign-level research governance and when do I need it?▼

Campaign-level research governance manages end-to-end exploratory campaigns with candidate ideas, bounded analysis, and structured outputs to support auditable decision making across multiple research projects.

How do I set up an isolated exploratory research campaign?▼

Provide a research_campaign.json or research_campaign.yaml containing your frozen current_research state and task context, then run the orchestration to begin bounded, auditable exploration with isolated branches.

Can I generate reproducible analysis outputs from frozen research states?▼

Reproducible analysis outputs are generated from a frozen current_research anchor, producing structured artifacts including IDEA_SEEDS, EVAL_CONTRACT, and CHANGESET manifests explicitly designed for auditability and reuse.

Does exploratory research orchestration work with YAML configuration formats?▼

Exploratory research orchestration accepts both research_campaign.json and research_campaign.yaml formats, requiring current_research and task context fields to establish bounded exploration with explicit evaluation contracts.

Why should I use isolated worktrees for research exploration instead of direct changes?▼

Isolated worktrees preserve your primary research state by enforcing trust guardrails and explicit evaluation contracts with sources and patches, preventing unbounded modifications from corrupting the frozen current_research anchor.

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