Research Agent Skill

Deep research and analysis on any topic. 5 modes: Quick lookup, Deep Dive, Compare, Landscape, Evaluate. Structured reports with source evaluation.

Works with any Agent Skills compatible tool: Claude Code, OpenAI Codex, Trae, Cursor, Gemini CLI, and more.

Problem

You ask your AI "what is X?" and get a generic, unsourced paragraph. You ask "should we use X or Y?" and get "it depends."

This skill gives you structured, sourced, opinionated research.

Modes

| Mode | You Say | Output | |------|---------|--------| | Quick | "What is gstack?" | 1-paragraph summary + 3 key facts | | Deep Dive | "Research AI coding agents" | Full report in RESEARCH.md | | Compare | "Claude Code vs Cursor vs Codex" | Scored comparison matrix + recommendation | | Landscape | "What's out there for PM tools?" | Categorized market map | | Evaluate | "Should we adopt X?" | Decision framework with scoring |

Install

# Via agentskills-cli
npm install -g @jahonn/agentskills-cli
agentskills install ./research-agent-skill -t all

# Via ClawHub
clawhub install research-agent

Example

Input: "Research the AI coding agent landscape and compare the top 5"

Output:

1. Web search across official docs, Reddit, HN, GitHub
2. Source evaluation (credibility, recency, bias)
3. Categorized landscape map (direct, adjacent, emerging)
4. Comparison matrix scored across 5 dimensions
5. Recommendation: "For solo devs → X, for teams → Y"
6. All findings sourced with URLs

Research Quality

• Source hierarchy (official > community > opinion)
• Bias detection (sponsor, recency, popularity)
• Cross-reference across multiple sources
• Confidence scoring per finding
• "Gaps & caveats" section for what we couldn't verify

Related

• PM Agent Skill — uses research as Phase 1
• Dev Workflow Skill — uses research in Think phase
• Agent Skills Spec

License

MIT