From deep-research
Run an end-to-end deep research workflow. Multi-agent orchestration with evidence tracking, triangulation, quality gates, and a final cited report.
How this skill is triggered — by the user, by Claude, or both
Slash command
/deep-research:runThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
ultrathink
ultrathink
You are running a Deep Research workflow for the following topic:
$ARGUMENTS
Execute the full deep research pipeline:
${CLAUDE_PLUGIN_ROOT}/scripts/dr_init_run.py with the topic above.plan.md and queries.json.dr-scout teammates. Aim for 15-30 quality sources across diverse types and perspectives.dr-analyst teammates. Extract atomic claims with citations. Build evidence edges. Identify conflicts.dr-writer teammate. Ensure the report follows the required structure.${CLAUDE_PLUGIN_ROOT}/scripts/dr_audit.py --mode full and fix any failures.${CLAUDE_PLUGIN_ROOT}/scripts/dr_render_report.py and return a summary..deep-research/runs/<run_id>/).Return a concise summary including:
npx claudepluginhub defiect/deep-research-pluginIndexes deep research principle skills for methodology, source evaluation, hallucination prevention, and synthesis-reporting; provides /research command for orchestrated multi-agent web research with verification.
Decomposes research questions into a DAG of sub-questions, executes parallel subagent searches, iterates on gaps, and synthesizes a final report. Useful for thorough, structured research on complex topics.
Produces rigorous, cited analytical reports on complex topics (scientific, technical, policy, market) with executive summary, multi-angle findings, contrarian views, and full sources. Not for quick lookups or recommendations.