parallel-deep-research
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. Supports follow-ups with a known prior Task interaction ID.
Install
With your agent
Install OMGSkills skill "parallel-web/parallel-agent-skills:skills/parallel-deep-research" into this agent's normal skills directory: call the OMGSkills MCP get_install_plan tool for your agent and run the script it returns (it installs only the pinned commit and verifies SKILL.md), and stop if MCP or the pin is unavailable. Do not overwrite or change existing skills without asking me.
Manual command
git clone https://github.com/parallel-web/parallel-agent-skills /tmp/parallel-agent-skills && ln -s /tmp/parallel-agent-skills/skills/parallel-deep-research ~/.claude/skills/parallel-deep-research
From README
Deep Research Research topic: $ARGUMENTS Requires parallel-cli ≥ 0.3.0 for text output and context chaining. If a documented command or option is missing, check parallel-cli --version and that command's --help, then follow the -specific upgrade guidance in . API, authentication and input errors are not evidence of an older CLI. When to use (vs parallel-web-search) ONLY use this skill when the user explicitly requests deep/exhaustive research. It can take several minutes and costs more than a quick search, depending on the processor and task. For normal "research X" requests, quick lookups, or fact-checking, use parallel-web-search instead. Step 1: Start the research Choose a descriptive output base in a persistent directory (e.g., reports/ai-chip-market-2026). Include the returned run ID to make it unique, then use this base in step 2 as -o "$FILENAME". Check for existing .json and .md files before saving.
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