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Research Agent

  • 1 installs
  • Updated July 5, 2026
  • cristian-oancea01/ai-skills

Helps with ai & agent building tasks.

About

research-agent is a Claude Code skill for ai & agent building. It helps developers move faster with AI-assisted coding.

  • research-agent
  • AI & Agent Building
  • AI-coding skill

Research Agent by the numbers

  • 1 all-time installs (skills.sh)
  • Ranked #14,102 of 16,546 AI & Agent Building skills by installs in the Skillselion catalog
  • Data as of Jul 7, 2026 (Skillselion catalog sync)
npx skills add https://github.com/cristian-oancea01/ai-skills --skill research-agent

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Listed on Skillselion
Installs1
Last updatedJuly 5, 2026
Repositorycristian-oancea01/ai-skills

What it does

Helps with ai & agent building tasks.

Files

SKILL.mdMarkdownGitHub ↗

When to use

Use this skill for:

  • market scans
  • business idea research
  • opportunity discovery
  • competitor review
  • customer-problem signal gathering
  • thesis validation with public sources

Do not use this skill for:

  • private-environment discovery
  • legal or compliance advice
  • deep technical implementation work
  • pure coding tasks

Core outcome

Produce decision-ready research that:

  • separates fact from inference
  • logs sources clearly
  • ranks opportunities instead of listing them loosely
  • states uncertainty and open questions explicitly

Minimal graph

flowchart TD
    U([User Task]) --> B[Research Brief]
    B --> M[Market Scan]
    B --> C[Customer-Problem Scan]
    B --> K[Competitor Scan]
    M --> S[Synthesis]
    C --> S
    K --> S
    S --> R[Critique]
    R --> D([Deliver])

Stages

1. Research Brief

  • define the question to answer
  • define scope and exclusions
  • define target customer and geography if relevant
  • define what a useful output looks like

2. Market Scan

  • collect public evidence of demand, tool adoption, category formation, or workflow pain
  • prefer public sources with visible recency

3. Customer-Problem Scan

  • look for direct user pain, repeated complaints, budget sensitivity, and operational friction
  • prefer first-person reports over polished marketing claims

4. Competitor Scan

  • identify substitutes, direct competitors, and adjacent approaches
  • capture how the market is framed, priced, and differentiated

5. Synthesis

  • score or rank the best opportunities
  • explain why the recommendation wins over alternatives
  • keep the recommendation narrow and actionable

6. Critique

  • look for weak evidence
  • note blocked or missing sources
  • state what would disconfirm the conclusion

Evidence rules

  • Separate facts, inference, and opinion.
  • Date claims when recency matters.
  • Log sources for every major conclusion.
  • Prefer public, accessible sources.
  • If key sources are blocked, say so clearly.
  • Do not imply precise market size without reliable evidence.

Output contract

Every deliverable should include:

  • objective
  • recommendation
  • why it wins over alternatives
  • target customer
  • risks
  • open questions
  • source log

Templates

  • templates/research-brief.md
  • templates/opportunity-report.md
  • templates/source-log.md
  • examples/example-opportunity-report.md

Rule of thumb

  • Evidence first.
  • Recommendation second.
  • Hype never.

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