
Parallel Findall
When you need a structured list of entities matching a description rather than webpages or a narrative report, this is the skill to reach for. It comes in two flavors: a fast synchronous entity-search for companies or people (seconds), and a comprehensive asynchronous findall run that supports complex matching, exclusions, enrichment, and citations. The base generator is quick but noisy, often returning directory placeholders and echo results. Core is the sensible default. Pro is slower and costlier but gets you thorough coverage when core falls short. You can enrich results with additional fields or extend to fetch more matches. The skill will filter obvious junk from results but you should spot-check base generator output for hallucinated attributes.
- skills.sh installs
- 12.7K
- GitHub stars
- 91
- last updated
- Aug 21, 2026
Install
$ npx -y skills add parallel-web/parallel-agent-skills --skill parallel-findall --agent claude-codeInstalls into .claude/skills of the current project.
Files
FindAll: Entity Discovery
Find: $ARGUMENTS
Full FindAll requires
parallel-cli≥ 0.3.0; the optionalentity-searchpath requires ≥ 0.6.0. If a documented command or option is missing, update through the installation method used for this CLI, then retry. See https://docs.parallel.ai/integrations/cli.
When to use this skill
Use FindAll for a structured list of entities matching a description. Use parallel-web-search for webpages or quick answers, parallel-deep-research for narrative analysis, and parallel-data-enrichment to add fields to a list the user already has.
Default to the comprehensive, asynchronous findall run. It supports match conditions, exclusions, enrichment, evidence, and entity types beyond companies and people. “Find all” does not guarantee exhaustive internet coverage.
Use the synchronous entity-search path only when the user explicitly wants a quick or rough list of companies or people and accepts results without individual verification. Do not choose it just because the entity type is supported. It has no exclusions, generator selection, enrichment, or FindAll condition/enrichment citations.
Step 1: Start and retain the run
Sponsors
Details
- Repository
- github.com/parallel-web/parallel-agent-skills
- Categories
- AI & Agent Building, Data Science & ML, Automation & Workflows
- First seen
- Jun 3, 2026