RRepoGEO

REPOGEO REPORT · LITE

dp-archive/archive

Default branch main · commit f8bf8cab · scanned 6/29/2026, 6:11:58 PM

GitHub: 1,104 stars · 99 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
23 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
0 pass · 2 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 dp-archive/archive, 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
    Create a clear README that repositions the project

    Why:

    CURRENT
    (README file exists but became empty after stripping badges/images)
    COPY-PASTE FIX
    # Skill Compose: An Open-Source Agent Builder and Runtime Platform

Skill Compose empowers developers to build and run skill-powered AI agents without the complexity of workflow graphs or CLIs. This platform provides a robust framework for creating intelligent agents that leverage specific skills to perform tasks, making agent development intuitive and efficient.
  • mediumhomepage#2
    Add a homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    https://github.com/dp-archive/archive

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 dp-archive/archive
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. Haystack · recommended 2×
  4. CrewAI · recommended 1×
  5. AutoGen · recommended 1×
  • CATEGORY QUERY
    How to build AI agents without relying on complicated workflow graphs?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. CrewAI
    4. AutoGen
    5. Haystack
    6. Guidance

    AI recommended 6 alternatives but never named dp-archive/archive. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking an open-source platform for developing and running skill-based AI agents easily?
    you: not recommended
    AI recommended (in order):
    1. Open Interpreter
    2. AutoGPT
    3. LangChain
    4. LlamaIndex
    5. Haystack

    AI recommended 5 alternatives but never named dp-archive/archive. 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
    warn

    Suggestion:

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 dp-archive/archive?
    pass
    AI did not name dp-archive/archive — 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 dp-archive/archive in production, what risks or prerequisites should they evaluate first?
    pass
    AI named dp-archive/archive 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 dp-archive/archive solve, and who is the primary audience?
    pass
    AI named dp-archive/archive explicitly

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

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dp-archive/archive — 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