RRepoGEO

REPOGEO REPORT · LITE

ReflexioAI/claude-smart

Default branch main · commit 94c16527 · scanned 6/7/2026, 11:03:03 AM

GitHub: 588 stars · 64 forks

AI VISIBILITY SCORE
40 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
2 pass · 0 warn · 0 fail
Objective metadata checks
AI knows your name
3 / 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 ReflexioAI/claude-smart, 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
  • highreadme#1
    Reposition the README H1 to specify category and value

    Why:

    CURRENT
    <h1 align="center">
  claude-smart
</h1>
    COPY-PASTE FIX
    <h1 align="center">
  claude-smart: Self-Improving Plugin for Claude Code & Codex
</h1>
  • mediumcomparison#2
    Add a README section comparing to general AI frameworks

    Why:

    COPY-PASTE FIX
    Add a new section to the README, perhaps titled 'How claude-smart Differs from General AI Frameworks (e.g., LangChain, Transformers)'. Explain that claude-smart is a specialized plugin for existing AI assistants (Claude Code, Codex) to enable self-improvement, rather than a general-purpose library for building AI applications from scratch. Emphasize its focus on learning from corrections and durable skills within an existing assistant's workflow.
  • lowabout#3
    Refine the repository description for clarity

    Why:

    CURRENT
    A Claude Code plugin that makes Claude Code self-improve — learning from your corrections, not just remembering them (also support codex now)
    COPY-PASTE FIX
    A plugin for AI assistants like Claude Code and Codex that enables them to self-improve by persistently learning from user corrections and avoiding past errors.

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 ReflexioAI/claude-smart
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
huggingface/transformers
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. huggingface/transformers · recommended 1×
  2. huggingface/trl · recommended 1×
  3. wandb/wandb · recommended 1×
  4. OpenAI API · recommended 1×
  5. mlflow/mlflow · recommended 1×
  • CATEGORY QUERY
    How to enable an AI assistant to self-improve from user corrections and interactions?
    you: not recommended
    AI recommended (in order):
    1. Hugging Face Transformers (huggingface/transformers)
    2. TRL (Transformer Reinforcement Learning) (huggingface/trl)
    3. Weights & Biases (W&B) (wandb/wandb)
    4. OpenAI API
    5. MLflow (mlflow/mlflow)
    6. PyTorch (pytorch/pytorch)
    7. TensorFlow (tensorflow/tensorflow)
    8. Snorkel (snorkel-team/snorkel)
    9. Label Studio (heartexlabs/label-studio)
    10. Apache Kafka (apache/kafka)
    11. RabbitMQ (rabbitmq/rabbitmq-server)
    12. Apache Spark (apache/spark)
    13. Dask (dask/dask)
    14. Kubernetes (kubernetes/kubernetes)
    15. Kubeflow (kubeflow/kubeflow)

    AI recommended 15 alternatives but never named ReflexioAI/claude-smart. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a tool for an AI coding agent to persistently learn and avoid repeating past errors.
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. Pinecone
    4. Weaviate
    5. Faiss
    6. Weights & Biases

    AI recommended 6 alternatives but never named ReflexioAI/claude-smart. This is the gap to close.

    Show full AI answer

Objective checks

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

  • Metadata completeness
    pass

  • 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 ReflexioAI/claude-smart?
    pass
    AI named ReflexioAI/claude-smart explicitly

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

  • If a team adopts ReflexioAI/claude-smart in production, what risks or prerequisites should they evaluate first?
    pass
    AI named ReflexioAI/claude-smart 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 ReflexioAI/claude-smart solve, and who is the primary audience?
    pass
    AI named ReflexioAI/claude-smart explicitly

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

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ReflexioAI/claude-smart — RepoGEO report