parallel-deep-research

Original🇺🇸 English
Translated

ONLY use when user explicitly says 'deep research', 'exhaustive', 'comprehensive report', or 'thorough investigation'. Slower and more expensive than parallel-web-search. For normal research/lookup requests, use parallel-web-search instead.

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NPX Install

npx skill4agent add parallel-web/agent-skills parallel-deep-research

Tags

Translated version includes tags in frontmatter

Deep Research

Research topic: $ARGUMENTS

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 parallel-web-search instead.

Step 1: Start the research

bash
parallel-cli research run "$ARGUMENTS" --processor pro-fast --no-wait --json
This returns instantly. Do NOT omit
--no-wait
— without it the command blocks for minutes and will time out.
Processor options (choose based on user request):
ProcessorExpected latencyUse when
pro-fast
30s – 5 minDefault — good balance of depth and speed
ultra-fast
1 – 10 minDeeper analysis, more sources (~2x cost)
ultra
5 – 25 minMaximum depth, only when explicitly requested (~3x cost)
Parse the JSON output to extract the
run_id
and monitoring URL. Immediately tell the user:
  • Deep research has been kicked off
  • The expected latency for the processor tier chosen (from the table above)
  • The monitoring URL where they can track progress
Tell them they can background the polling step to continue working while it runs.

Step 2: Poll for results

Choose a descriptive filename based on the topic (e.g.,
ai-chip-market-2026
,
react-vs-vue-comparison
). Use lowercase with hyphens, no spaces.
bash
parallel-cli research poll "$RUN_ID" -o "$FILENAME" --timeout 540
Important:
  • Use
    --timeout 540
    (9 minutes) to stay within tool execution limits
  • Do NOT pass
    --json
    — the full output is large and will flood context. The
    -o
    flag writes results to files instead.
  • The
    -o
    flag generates two output files:
    • $FILENAME.json
      — metadata and basis
    • $FILENAME.md
      — formatted markdown report

If the poll times out

Higher processor tiers can take longer than 9 minutes. If the poll exits without completing:
  1. Tell the user the research is still running server-side
  2. Re-run the same
    parallel-cli research poll
    command to continue waiting

Response format

After step 1: Share the monitoring URL (for tracking progress only — it is not the final report).
After step 2: Tell the user the two generated file paths:
  • $FILENAME.md
    — formatted markdown report
  • $FILENAME.json
    — metadata and basis
Do NOT re-share the monitoring URL after completion — the results are in the files, not at that link.
Ask the user if they would like to read through the files now. Do NOT read the file contents into context unless the user asks.

Setup

If
parallel-cli
is not found, install and authenticate:
bash
curl -fsSL https://parallel.ai/install.sh | bash
parallel-cli login
Or set an API key:
export PARALLEL_API_KEY="your-key"