RRepoGEO

REPOGEO REPORT · LITE

open-gsd/get-shit-done-redux

Default branch next · commit ce62f2b6 · scanned 6/27/2026, 2:16:32 AM

GitHub: 5,187 stars · 317 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)

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

AI VISIBILITY SCORE
33 /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
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 open-gsd/get-shit-done-redux, 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
  • highabout#1
    Update repository description to clarify purpose

    Why:

    CURRENT
    Git. Ship. Done - Core
    COPY-PASTE FIX
    A context engineering and meta-prompting framework for AI coding agents (Claude Code, Gemini CLI, Copilot, etc.) to prevent context rot and enable spec-driven development.
  • highreadme#2
    Add a direct repositioning statement to the README's opening

    Why:

    COPY-PASTE FIX
    > **This is an AI coding agent framework, not a personal productivity app.** (Add this line immediately after the H1 `# GSD Core`)
  • mediumtopics#3
    Expand topics with broader AI/LLM development terms

    Why:

    CURRENT
    claude-code, context-engineering, meta-prompting, spec-driven-development
    COPY-PASTE FIX
    claude-code, context-engineering, meta-prompting, spec-driven-development, llm-development, ai-agents, prompt-engineering, code-generation, large-language-models

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 open-gsd/get-shit-done-redux
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
LlamaIndex
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. LlamaIndex · recommended 1×
  2. LangChain · recommended 1×
  3. Sourcegraph · recommended 1×
  4. GitHub Copilot Chat · recommended 1×
  5. Tree-sitter · recommended 1×
  • CATEGORY QUERY
    How to prevent context window degradation when working with large AI coding projects?
    you: not recommended
    AI recommended (in order):
    1. LlamaIndex
    2. LangChain
    3. Sourcegraph
    4. GitHub Copilot Chat
    5. Tree-sitter
    6. OpenAI Embeddings
    7. FAISS
    8. Pinecone
    9. Weaviate
    10. ContextualCompressionRetriever

    AI recommended 10 alternatives but never named open-gsd/get-shit-done-redux. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Tools for structured meta-prompting and spec-driven development with AI code generation assistants?
    you: not recommended
    AI recommended (in order):
    1. Guidance (microsoft/guidance)
    2. LangChain (langchain-ai/langchain)
    3. LlamaIndex (run-llama/llama_index)
    4. Marvin (prefect-ai/marvin)
    5. DSPy (stanfordnlp/dspy)
    6. Instructor (jxnl/instructor)
    7. Pydantic (pydantic/pydantic)

    AI recommended 7 alternatives but never named open-gsd/get-shit-done-redux. 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 open-gsd/get-shit-done-redux?
    pass
    AI named open-gsd/get-shit-done-redux explicitly

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

  • If a team adopts open-gsd/get-shit-done-redux in production, what risks or prerequisites should they evaluate first?
    pass
    AI named open-gsd/get-shit-done-redux 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 open-gsd/get-shit-done-redux solve, and who is the primary audience?
    pass
    AI did not name open-gsd/get-shit-done-redux — 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?

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open-gsd/get-shit-done-redux — 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