RRepoGEO

REPOGEO REPORT · LITE

bawadou/claude-engineer

Default branch main · commit 2998ddd8 · scanned 6/17/2026, 7:32:50 AM

GitHub: 512 stars · 51 forks

AI VISIBILITY SCORE
28 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 1 warn · 0 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 bawadou/claude-engineer, 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 root directory with a standard open-source license (e.g., MIT, Apache-2.0, GPL-3.0).
  • highabout#2
    Update the repository description to highlight its agent framework nature

    Why:

    CURRENT
    A version of command line interface(CLI) that leverages the power of Claude Opus(3-4.7). This framework lets Claude create and manage its own tools on the fly, continuously growing its capabilities through the course of a conversation
    COPY-PASTE FIX
    An interactive, self-improving AI agent framework for Claude Opus (3-4.7) that enables dynamic tool creation, management, and autonomous capability expansion during conversations.
  • mediumtopics#3
    Expand repository topics to include broader AI agent and tool-use terms

    Why:

    CURRENT
    ai, claude, claude-ai, claude-code, claude-engineer, claude-skills, engineering-ai
    COPY-PASTE FIX
    ai, claude, claude-ai, claude-code, claude-engineer, claude-skills, engineering-ai, ai-agents, llm-agents, tool-use, agent-framework, autonomous-agents

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 bawadou/claude-engineer
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
LangChain
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. LangChain · recommended 2×
  2. LlamaIndex · recommended 2×
  3. OpenAI Function Calling · recommended 2×
  4. AutoGPT · recommended 2×
  5. Microsoft Semantic Kernel · recommended 1×
  • CATEGORY QUERY
    How can I build an AI agent that dynamically creates and manages its own tools?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. OpenAI Function Calling
    4. AutoGPT
    5. Microsoft Semantic Kernel

    AI recommended 5 alternatives but never named bawadou/claude-engineer. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How to enable a large language model to autonomously create and use custom coding tools?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. OpenAI Function Calling
    4. AutoGPT
    5. BabyAGI
    6. Hugging Face Transformers Agents
    7. Semantic Kernel

    AI recommended 7 alternatives but never named bawadou/claude-engineer. This is the gap to close.

    Show full AI answer

Objective checks

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

  • Metadata completeness
    warn

    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 bawadou/claude-engineer?
    pass
    AI named bawadou/claude-engineer explicitly

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

  • If a team adopts bawadou/claude-engineer in production, what risks or prerequisites should they evaluate first?
    pass
    AI named bawadou/claude-engineer 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 bawadou/claude-engineer solve, and who is the primary audience?
    pass
    AI did not name bawadou/claude-engineer — 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?

Embed your GEO score

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bawadou/claude-engineer — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

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  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite