Research Ops is a structured way to find fresh facts and compare options. It works by first looking at what you already know. Then it picks the lightest research method to get you an answer fast.
You can use it to check the latest news, compare products or people, or enrich a company profile. The skill always labels where each fact came from. That makes it easy to trust the results and know what is a sourced fact, your own input, or a guess.
If you need to research the same thing over and over, this skill will suggest setting up a monitor instead of repeating the search. It keeps your work simple and your evidence clear.
Global
mkdir -p ~/.claude/skills/research-opsProject
mkdir -p .claude/skills/research-opsSource Repository
Lark Baselarksuite/cli
Simplify your Lark Base data with tables, fields, records, and views
Lark Wikilarksuite/cli
Manage your Lark Wiki spaces, members, and documents with simple commands
Paper Context Resolverlllllllama/ai-paper-reproduction-skill
Resolve deep learning paper reproduction gaps with precise primary source evidence
Repo Intake And Planlllllllama/ai-paper-reproduction-skill
Scan a repo, extract commands, and get a minimal reproduction plan
Minimal Run And Auditlllllllama/ai-paper-reproduction-skill
Run commands and capture normalized evidence for reproducible deep learning research
Firecrawl Searchfirecrawl/cli
Search the web and extract full page content as markdown for deeper research
Ai Research Reproductionlllllllama/rigorpilot-skills
Faithful reproduction of deep learning research with auditable steps and minimal changes
Minimal Run And Auditlllllllama/rigorpilot-skills
Capture evidence from deep learning runs and create standardized audit reports