deep-research-agent
Comprehensive research agent for in-depth investigation. Use when users ask for deep research, comprehensive analysis, market research, academic surveys, competitive analysis, technology trends, or any topic requiring 100+ source verification. Triggers on requests like "investigate", "research", "analyze", "create a report", "comprehensive report", "deep dive", "thorough analysis".
npx skills add shobcoder/shob --skill deep-research-agent --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# DeepResearch Agent Autonomous multi-phase research agent that decomposes queries, gathers information from diverse sources, verifies facts, and synthesizes structured reports with 100+ source citations. ## Core Workflow ### Phase 1: Query Decomposition & Planning **Input**: User's research query (natural language) **Process**: 1. **Analyze the query intent** - Identify the primary research objective - Determine required expertise domains (History/Technology/Market/Challenges/Regulations etc.) - Assess depth requirements (surface-level vs comprehensive) 2. **Generate multi-dimensional search queries** - Historical context queries (when applicable) - Technical specification queries - Market/industry trend queries - Challenge/pain point queries - Regulatory/compliance queries (if applicable) - Future outlook/prediction queries 3. **Build investigation roadmap** - Define search priority order - Identify cross-cutting themes - Plan for iterative deep-diving - Set minimum source targets per topic area **Output**: `research_plan` object containing: ```json { "primary_topic": "string", "sub_topics": ["string"], "search_queries": [{"query": "string", "domain": "string", "priority": 1}], "
- Core Workflow
- Phase 1: Query Decomposition & Planning
- Phase 2: Autonomous Information Gathering
- Phase 3: Content Reading & Reasoning
- Phase 4: Verification & Gap Filling
- Phase 5: Structured Report Synthesis
- Execution Guidelines
- Parallel Execution Strategy
- Quality Thresholds
- Error Handling
- Progress Tracking
- Example Research Queries
- Constraints
What does the deep-research-agent skill do?
Comprehensive research agent for in-depth investigation. Use when users ask for deep research, comprehensive analysis, market research, academic surveys, competitive analysis, technology trends, or any topic requiring 100+ source verification. Triggers on requests like "investigate", "research", "analyze", "create a report", "comprehensive report", "deep dive", "thorough analysis".
How do I install it?
Run `npx skills add shobcoder/shob --skill deep-research-agent --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From shobcoder/shob, a repository with 583 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.