RRepoGEO

REPOGEO REPORT · LITE

runkids/skillshare

Default branch main · commit dd7f14c0 · scanned 6/25/2026, 11:31:57 PM

GitHub: 2,310 stars · 141 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
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 runkids/skillshare, 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 clarify the project's core purpose

    Why:

    CURRENT
    <h1 align="center" style="margin-top: 0.5rem; margin-bottom: 0.5rem;">skillshare</h1>
    COPY-PASTE FIX
    <h1 align="center" style="margin-top: 0.5rem; margin-bottom: 0.5rem;">skillshare: AI CLI Skill & Agent Synchronization</h1>
  • highabout#2
    Refine the GitHub 'About' description for clarity

    Why:

    CURRENT
    📚 Sync skills across all AI CLI tools with one command and simplify team sharing. Supporting Codex, Claude Code, OpenClaw & more
    COPY-PASTE FIX
    📚 Sync AI assistant skills, agents, and configurations across all AI CLI tools (Codex, Claude Code, OpenClaw & 60+ more) with one command, simplifying team sharing and cross-machine consistency.
  • mediumtopics#3
    Add more specific topics for AI tool integration and configuration

    Why:

    CURRENT
    agenthub, ai, claude-code, cli, codex, codex-skills, copilot, cross-machine-sync, cursor, gemini, go, gui, openclaw, skills, skills-audit, skills-management, skills-manager, skills-ui, skillshare, team-management
    COPY-PASTE FIX
    agenthub, ai, claude-code, cli, codex, codex-skills, copilot, cross-machine-sync, cursor, gemini, go, gui, openclaw, skills, skills-audit, skills-management, skills-manager, skills-ui, skillshare, team-management, ai-tool-integration, ai-configuration-management, cli-automation, agent-orchestration

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 runkids/skillshare
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Git
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Git · recommended 2×
  2. GitHub · recommended 1×
  3. GitLab · recommended 1×
  4. Bitbucket · recommended 1×
  5. GNU Stow · recommended 1×
  • CATEGORY QUERY
    How to synchronize AI assistant skills and configurations across different command-line tools?
    you: not recommended
    AI recommended (in order):
    1. Git
    2. GitHub
    3. GitLab
    4. Bitbucket
    5. GNU Stow
    6. yadm
    7. Ansible
    8. Nix
    9. NixOS
    10. Home Manager
    11. Docker
    12. Docker Compose
    13. Rsync
    14. Syncthing

    AI recommended 14 alternatives but never named runkids/skillshare. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools help share and manage AI agent skills across development teams efficiently?
    you: not recommended
    AI recommended (in order):
    1. Weights & Biases
    2. MLflow
    3. Hugging Face Hub
    4. DVC
    5. Kubernetes with Kubeflow
    6. Comet ML
    7. Git

    AI recommended 7 alternatives but never named runkids/skillshare. 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 runkids/skillshare?
    pass
    AI named runkids/skillshare explicitly

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

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

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

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MARKDOWN (README)
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runkids/skillshare — 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