You've got a CSV of 500 companies and need to add CEO names, funding rounds, or employee counts without manually looking each one up. This skill handles that, farming out web research in parallel and merging the results back into structured output. It's built on top of Parallel's CLI and can chain context from previous research tasks, so if you already had Claude dig up a list of startups in a sector, you can enrich that same list without re-explaining what you found. The polling can time out on huge datasets, but it resumes where it left off. Most useful when you need to turn a skeleton dataset into something you can actually filter and sort on real attributes.
npx -y skills add parallel-web/parallel-agent-skills --skill parallel-data-enrichment --agent claude-codeInstalls into .claude/skills of the current project.
Select a file.
sickn33/antigravity-awesome-skills
moizibnyousaf/ai-agent-skills
github/awesome-copilot