RRepoGEO

REPOGEO REPORT · LITE

aklofas/kicad-happy

Default branch main · commit 839d9b03 · scanned 6/16/2026, 8:57:15 PM

GitHub: 558 stars · 44 forks

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 aklofas/kicad-happy, 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 README H1 and first paragraph to clarify core purpose

    Why:

    CURRENT
    # ⚡ kicad-happy

AI-powered design review for KiCad. Analyzes schematics, PCB layouts, and Gerbers. Catches real bugs before you order boards.
    COPY-PASTE FIX
    # ⚡ kicad-happy: AI Agent Skills for KiCad Electronics Design

Turn your AI coding agent (Claude Code, OpenAI Codex, GitHub Copilot CLI, Gemini CLI) into a full-fledged electronics design assistant for KiCad projects. This repository provides the skills to analyze schematics, review PCB layouts, and catch real bugs before manufacturing.
  • mediumtopics#2
    Refine topics to emphasize AI application in EDA

    Why:

    CURRENT
    ai-skills, bom-management, claude-code, codex, design-review, digikey, eda, electronics, emc, emc-compliance, gerber, hardware-design, jlcpcb, kicad, kicad-pcb, openai-codex, pcb-design, schematic-analysis, signal-integrity, spice-simulation
    COPY-PASTE FIX
    ai-skills, ai-assistant, ai-agent, bom-management, claude-code, codex, design-review, digikey, eda, eda-automation, electronics, emc, emc-compliance, gerber, hardware-design, hardware-verification, jlcpcb, kicad, kicad-pcb, openai-codex, pcb-design, schematic-analysis, signal-integrity, spice-simulation
  • lowreadme#3
    Clarify project scope and intended audience in README

    Why:

    COPY-PASTE FIX
    Add a sentence early in the README, such as: 'This project is designed as a robust, general-purpose library of skills for AI agents, enabling them to assist with professional-grade KiCad electronics design and verification workflows.'

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 aklofas/kicad-happy
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
TensorFlow
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. TensorFlow · recommended 2×
  2. PyTorch · recommended 2×
  3. LTspice · recommended 1×
  4. PSpice · recommended 1×
  5. Keysight ADS · recommended 1×
  • CATEGORY QUERY
    How can AI help me find design errors in my electronics projects before manufacturing?
    you: not recommended
    AI recommended (in order):
    1. LTspice
    2. PSpice
    3. Keysight ADS
    4. Cadence JasperGold
    5. Synopsys VC Formal
    6. Mentor Graphics Calibre
    7. Cadence Virtuoso DRC/LVS
    8. Ansys SIwave
    9. Cadence Sigrity
    10. Altium CoDesigner
    11. Autodesk Fusion 360
    12. Python
    13. scikit-learn
    14. TensorFlow
    15. PyTorch

    AI recommended 15 alternatives but never named aklofas/kicad-happy. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools provide AI assistance for hardware design, from schematic analysis to fabrication prep?
    you: not recommended
    AI recommended (in order):
    1. Synopsys DSO.ai
    2. Cadence Cerebrus Intelligent Chip Explorer
    3. Ansys Sherlock
    4. Ansys optiSLang
    5. Catapult HLS AI
    6. Solido Design Automation
    7. Google's Custom Chip Design AI
    8. TensorFlow
    9. PyTorch
    10. OpenLane
    11. OpenROAD

    AI recommended 11 alternatives but never named aklofas/kicad-happy. 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 aklofas/kicad-happy?
    pass
    AI did not name aklofas/kicad-happy — 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 aklofas/kicad-happy in production, what risks or prerequisites should they evaluate first?
    pass
    AI named aklofas/kicad-happy 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 aklofas/kicad-happy solve, and who is the primary audience?
    pass
    AI named aklofas/kicad-happy explicitly

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

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  • Brand-free category queries5 vs 2 in Lite
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