parallel-deep-research

The parallel-deep-research skill executes long-running, multi-source research tasks via the parallel-cli. It supports asynchronous execution, progress monitoring, and context chaining for follow-up queries.

11.0K
Installs
4
Use cases
5/10
Quality

Is parallel-deep-research safe to install?

Review the source first

Review the source first: our audit of parallel-deep-research's source files found 8 shell commands, 0 external URLs, file reads and writes (high risk). Every command and URL listed appears verbatim in the skill's source. The skill executes shell commands via parallel-cli and writes research results to local files.

How we audit skills: our security review methodology.

Who is this skill for?

Users requiring exhaustive, comprehensive research reports rather than quick web lookups.

What can you do with it?

  • Exploratory research on complex topics
  • Multi-source deep investigations
  • Follow-up research tasks using previous interaction context
  • Generating markdown reports with inline citations

How good is this skill?

Quality score: 5/10. The skill documentation is clear, provides specific command examples, and includes necessary error handling and usage constraints.

What does the skill file contain?

SKILL.md
# Deep Research

Research topic: $ARGUMENTS

> Requires `parallel-cli` ≥ 0.3.0. If any command below errors with `no such option`, `no such command`, or `unrecognized arguments`, the user is on an older CLI. Tell them to run `parallel-cli update` (or `pipx upgrade parallel-web-tools` if installed via pipx), then retry.

## When to use (vs parallel-web-search)

ONLY use this skill when the user explicitly requests deep/exhaustive research. Deep research is 10-100x slower and more expensive than parallel-web-search. For normal "research X" requests, quick lookups, or fact-checking, use **paralle...

Frequently asked questions

When should I use this instead of parallel-web-search?

Use this skill only when the user explicitly requests deep, exhaustive, or comprehensive research. It is significantly slower and more expensive than parallel-web-search.

How do I handle follow-up questions?

Pass the interaction_id from the previous research task as the --previous-interaction-id argument in the new research command to maintain context.

What happens if the poll command times out?

The research continues server-side. Re-run the poll command to check for completion.

Data sourced from parallel-web/parallel-agent-skills on GitHub. Install counts from skills.sh. The summary and security audit are derived from the skill's source files: every command and URL listed appears verbatim in the source.

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