RRepoGEO

REPOGEO REPORT · LITE

chris-chris/pysc2-examples

Default branch master · commit c8074a1f · scanned 6/11/2026, 10:57:31 AM

GitHub: 756 stars · 348 forks

AI VISIBILITY SCORE
35 /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
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 chris-chris/pysc2-examples, 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
    Clarify the README's opening paragraph to emphasize agent examples

    Why:

    CURRENT
    This example program was built on 
- pysc2 (Deepmind) [https://github.com/deepmind/pysc2]
- baselines (OpenAI) [https://github.com/openai/baselines]
- s2client-proto (Blizzard) [https://github.com/Blizzard/s2client-proto]
- Tensorflow 1.3 (Google) [https://github.com/tensorflow/tensorflow]
    COPY-PASTE FIX
    This repository provides practical, runnable examples of Deep Reinforcement Learning (DRL) agents for StarCraft II, built using DeepMind's pysc2 library. It serves as an educational resource for researchers and developers looking to understand and implement DRL techniques in complex game environments.
  • mediumtopics#2
    Add more specific topics to improve categorization

    Why:

    CURRENT
    ai, deep-q-network, deep-reinforcement-learning, deepmind, machine-learning, reinforcement-learning, startcraft2
    COPY-PASTE FIX
    ai, deep-q-network, deep-reinforcement-learning, deepmind, machine-learning, reinforcement-learning, starcraft2, pysc2, rl-agents, game-ai-examples
  • lowhomepage#3
    Add a homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    https://github.com/chris-chris/pysc2-examples

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 chris-chris/pysc2-examples
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
OpenSpiel
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. OpenSpiel · recommended 1×
  2. ELF · recommended 1×
  3. Google Research Football Environment · recommended 1×
  4. TensorFlow · recommended 1×
  5. PyTorch · recommended 1×
  • CATEGORY QUERY
    Seeking practical examples of AI agent training in a complex strategic game environment.
    you: not recommended
    AI recommended (in order):
    1. OpenSpiel
    2. ELF
    3. Google Research Football Environment

    AI recommended 3 alternatives but never named chris-chris/pysc2-examples. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools are available for implementing deep Q-networks in game AI development?
    you: not recommended
    AI recommended (in order):
    1. TensorFlow
    2. PyTorch
    3. Stable Baselines3
    4. Keras
    5. RLlib
    6. Acme
    7. OpenAI Gym

    AI recommended 7 alternatives but never named chris-chris/pysc2-examples. 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 chris-chris/pysc2-examples?
    pass
    AI named chris-chris/pysc2-examples explicitly

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

  • If a team adopts chris-chris/pysc2-examples in production, what risks or prerequisites should they evaluate first?
    pass
    AI named chris-chris/pysc2-examples 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 chris-chris/pysc2-examples solve, and who is the primary audience?
    pass
    AI named chris-chris/pysc2-examples explicitly

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

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chris-chris/pysc2-examples — 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