RRepoGEO

REPOGEO REPORT · LITE

luwill/research-skills

Default branch main · commit 269b448f · scanned 6/3/2026, 8:57:26 AM

GitHub: 649 stars · 80 forks

AI VISIBILITY SCORE
23 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 0 warn · 1 fail
Objective metadata checks
AI knows your name
2 / 3
Direct prompts that named your repo
HOW TO READ THIS REPORT

Action plan is what to do next — copy-pasteable changes prioritized by impact. Category visibility is the real GEO test: when a user asks an AI a brand-free question that should surface luwill/research-skills, does the AI actually recommend you — or your competitors? Objective checks verify the metadata signals AI engines weight first. Self-mention check detects whether AI even knows you exist by name.

Action plan — copy-paste fixes

3 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highlicense#1
    Add a LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    Create a LICENSE file in the repository root, choosing an appropriate open-source license (e.g., MIT, Apache-2.0, GPL-3.0) that aligns with your project's goals for reuse and distribution.
  • hightopics#2
    Add specific topics to improve categorization

    Why:

    COPY-PASTE FIX
    ai-agents, claude-ai, research-automation, literature-review, academic-writing, llm-agents, multi-agent-system, research-skills, paper-analysis, research-proposal
  • mediumabout#3
    Refine the 'About' description for clarity on AI agent focus

    Why:

    CURRENT
    Some commonly used research experiences and processes are encapsulated into Agent skills.
    COPY-PASTE FIX
    A collection of Claude Code skills and multi-agent systems designed to automate academic research workflows, including literature reviews, paper analysis, and research proposal generation.

Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash

Category visibility — the real GEO test

Brand-free queries asked to google/gemini-2.5-flash. Did AI recommend you, or someone else?

Same questions for every model — switch tabs to compare answers and rankings.

Recall
0 / 2
0% of queries surface luwill/research-skills
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Elicit
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Elicit · recommended 2×
  2. Scite.ai · recommended 2×
  3. Connected Papers · recommended 1×
  4. Semantic Scholar · recommended 1×
  5. ResearchRabbit · recommended 1×
  • CATEGORY QUERY
    What AI tools can help automate literature reviews and generate research proposals?
    you: not recommended
    AI recommended (in order):
    1. Elicit
    2. Scite.ai
    3. Connected Papers
    4. Semantic Scholar
    5. ResearchRabbit
    6. ChatGPT / GPT-4
    7. QuillBot

    AI recommended 7 alternatives but never named luwill/research-skills. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for AI agents to assist with academic paper analysis and presentation creation.
    you: not recommended
    AI recommended (in order):
    1. Elicit
    2. Scite.ai
    3. Humata AI
    4. ChatGPT
    5. Gamma
    6. Tome

    AI recommended 6 alternatives but never named luwill/research-skills. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    fail

    Suggestion:

  • README presence
    pass

Self-mention check

Does AI even know your repo exists when asked about it directly?

  • Compared to common alternatives in this category, what is the core differentiator of luwill/research-skills?
    pass
    AI did not name luwill/research-skills — likely talking about a different project

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • If a team adopts luwill/research-skills in production, what risks or prerequisites should they evaluate first?
    pass
    AI named luwill/research-skills explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • In one sentence, what problem does the repo luwill/research-skills solve, and who is the primary audience?
    pass
    AI named luwill/research-skills explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

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