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REPOGEO REPORT · LITE

severity1/claude-code-prompt-improver

Default branch main · commit 306c325b · scanned 6/28/2026, 12:26:55 AM

GitHub: 1,641 stars · 135 forks

Scan history for this repo

Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.

Score trend (left → right: older → newer)

2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

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 severity1/claude-code-prompt-improver, 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

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

OVERALL DIRECTION
  • highreadme#1
    Reposition the README's opening paragraph to clarify its role as a system-level hook

    Why:

    CURRENT
    Intelligent prompt optimization for Claude Code. It injects the right context at the right moment - at prompt submit, tool use, and subagent start - so Claude has what it needs before it acts. The goal is a better first output, so you spend fewer turns correcting it.
    COPY-PASTE FIX
    severity1/claude-code-prompt-improver is a system-level prompt optimization hook for Claude Code. It acts as an intelligent layer, injecting the right context at prompt submit, tool use, and subagent start, ensuring Claude has what it needs for a better first output and fewer correction turns.
  • mediumreadme#2
    Add a 'Comparison to Alternatives' section in the README

    Why:

    COPY-PASTE FIX
    ## Comparison to Alternatives

Unlike general-purpose LLM APIs (e.g., OpenAI API, Azure OpenAI Service) or full-fledged AI coding assistants (e.g., Cursor, Continue, aider), `claude-code-prompt-improver` is a specialized *system-level hook* that augments your existing Claude Code interactions. It operates as an intelligent layer, injecting dynamic, context-aware prompt improvements *before* Claude processes your request, rather than replacing your coding environment or providing a raw API.

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 severity1/claude-code-prompt-improver
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
OpenAI API
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. OpenAI API · recommended 2×
  2. Azure OpenAI Service · recommended 1×
  3. huggingface/transformers · recommended 1×
  4. pytorch/pytorch · recommended 1×
  5. tensorflow/tensorflow · recommended 1×
  • CATEGORY QUERY
    How can I automatically improve my AI assistant's code generation quality and reduce correction turns?
    you: not recommended
    AI recommended (in order):
    1. OpenAI API
    2. Azure OpenAI Service
    3. Hugging Face Transformers (huggingface/transformers)
    4. PyTorch (pytorch/pytorch)
    5. TensorFlow (tensorflow/tensorflow)
    6. Hugging Face TRL (huggingface/trl)
    7. pytest (pytest-dev/pytest)
    8. JUnit
    9. ESLint (eslint/eslint)
    10. Prettier (prettier/prettier)
    11. Black (psf/black)
    12. Ruff (astral-sh/ruff)
    13. SonarQube
    14. GitHub Actions
    15. GitLab CI/CD
    16. Anthropic Claude
    17. Google Gemini
    18. LangChain (langchain-ai/langchain)
    19. LlamaIndex (run-llama/llama_index)
    20. Pinecone
    21. Weaviate (weaviate/weaviate)
    22. ChromaDB (chroma-core/chroma)

    AI recommended 22 alternatives but never named severity1/claude-code-prompt-improver. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a tool to inject relevant context into AI coding prompts for complex tasks.
    you: not recommended
    AI recommended (in order):
    1. Cursor
    2. Continue
    3. aider
    4. OpenAI API
    5. CodeGPT
    6. GitHub Copilot Chat

    AI recommended 6 alternatives but never named severity1/claude-code-prompt-improver. 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 severity1/claude-code-prompt-improver?
    pass
    AI did not name severity1/claude-code-prompt-improver — 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 severity1/claude-code-prompt-improver in production, what risks or prerequisites should they evaluate first?
    pass
    AI named severity1/claude-code-prompt-improver 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 severity1/claude-code-prompt-improver solve, and who is the primary audience?
    pass
    AI named severity1/claude-code-prompt-improver explicitly

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

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severity1/claude-code-prompt-improver — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

  • Deep reports10 / month
  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite