Generates research outlines and field definitions for a topic using web search.
npx skills add https://github.com/matsumuratk/elmo-aws --skill research-matsumuratk
Please help me install this Agent Skill. Skill: research Source: https://github.com/matsumuratk/elmo-aws/tree/main/.claude/skills/research Command: npx skills add https://github.com/matsumuratk/elmo-aws --skill research-matsumuratk
High-intent search queries and answers about installing and using this skill.
Run /research followed by your topic. The skill generates an initial framework from model knowledge, confirms it with you, supplements it via web search, and saves outline.yaml and fields.yaml to a topic directory.
Use the validate_json.py script with a fields.yaml file and a directory of JSON results. It reports coverage rate, missing required and optional fields, and extra fields per file, exiting with an error if required fields are missing.
Yes. During Step 2 the skill asks for a time range such as the last 6 months or since 2024, and the web search agent only supplements items within that window.
It creates a topic directory containing outline.yaml with the items list and execution config (batch size, items per agent, output directory), plus fields.yaml with field categories, descriptions, and detail levels.
The initial framework depends on model knowledge and may miss recent items, which the web search step only partially mitigates. It produces outlines and field definitions, not the deep research content itself, which requires the follow-up /research-deep command.
blockscoutClarify codebase topics through guided discussion and propose a research-note outline.
Hayao0819Automate deep research by launching background agents per outline item.
Hayao0819Append user-confirmed field definitions to an existing fields.yaml file.
CASIA-LMSearch PubMed and other databases to analyze papers and generate structured literature summaries.
