research

Consolidate local evidence and primary sources into a sourced recommendation.

Updated May 8, 2026

Search Tags:#documentation #research #discovery #decision #evidence #primary-sources

Ready to run

npx skills add https://github.com/ace3/skills --skill research-ace3

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: research
Source: https://github.com/ace3/skills/tree/main/skills/research
Command: npx skills add https://github.com/ace3/skills --skill research-ace3

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Gather and organize evidence before decisions by collecting local context and primary sources to support informed planning.

Core Features & Use Cases

Local evaluation: Inspect repo files, docs, configs, tickets, and logs to surface facts.
External research: Validate with primary sources, standards, official docs, and vendor info.
Decision support: Produce a concise recommendation with sources, constraints, risks, and open questions.

Quick Start

Summarize the current-state evidence and deliver a concise, sourced recommendation.

Frequently Asked Questions about research

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

FAQPage Schema

How do I gather evidence from local repo files to support a technical decision?▼

To gather evidence for decisions, this Skill inspects local repo files, docs, configs, and tickets, then consolidates the findings into a concise recommendation with cited file paths and line numbers.

What is the best way to validate local codebase findings against external primary sources?▼

Validating local findings against primary sources involves applying external standards, official docs, and vendor info to verify facts, compare options against constraints, and flag any unverifiable claims as assumptions in the output.

Can I use this to compare technical options against specific project constraints?▼

Yes, you can compare technical options against project constraints by consolidating local evidence and external primary sources to deliver a concise recommendation that includes identified risks and open questions.

How do I document assumptions when primary sources cannot verify a claim?▼

Documenting assumptions happens automatically during research consolidation; the Skill flags unverifiable claims as assumptions in the final recommendation, ensuring only evidence-backed facts are cited with local file paths.

Does evidence-backed research work for evaluating current-state architecture from logs and configs?▼

Evidence-backed research works for current-state evaluation by inspecting local logs, configs, and documentation to surface facts, applying primary sources for external validation, and delivering a sourced recommendation with risks.

When should I not rely on local documentation for decision support?▼

You should not rely solely on local documentation when external facts are needed for validation; this Skill cross-references local evidence with primary sources and explicitly flags unverifiable claims as assumptions to prevent misinformed decisions.