REPOGEO REPORT · LITE

GBSOSS/skill-from-masters

Default branch main · commit c4d27d29 · scanned 5/19/2026, 9:13:22 PM

GitHub: 1,401 stars · 144 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

28 /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

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 GBSOSS/skill-from-masters, 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 README opening to distinguish from AI agent frameworks

Why:

CURRENT

# Skill From Masters

> **Stand on the shoulders of giants** — Create AI skills built on proven methodologies from domain experts.

A skill that helps you discover and incorporate frameworks, principles, and best practices from recognized masters before generating any new skill. Works with Claude Code, Codex, and other AI agent platforms.

COPY-PASTE FIX

# Skill From Masters

> **Stand on the shoulders of giants** — Create AI skills built on proven methodologies from domain experts.

This project provides the *intelligence layer* for AI agents, focusing on *what* your AI agent should know (proven methodologies, frameworks, and best practices from domain experts) rather than *how* the agent is built. It helps you discover and incorporate world-class expertise before generating any new skill, working with platforms like Claude Code, Codex, and other AI agent platforms.

hightopics#2

Add relevant GitHub topics to improve categorization

Why:

COPY-PASTE FIX

ai-agents, expert-systems, methodologies, best-practices, domain-expertise, skill-development, generative-ai, llm-tools, knowledge-management

mediumhomepage#3
Add a homepage URL to the repository metadata
Why:
COPY-PASTE FIX
```
[Add a URL to a project page, documentation, or a demo here]
```

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 GBSOSS/skill-from-masters

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

LangChain

Recommended in 2 of 2 queries

COMPETITOR LEADERBOARD

LangChain · recommended 2×
LlamaIndex · recommended 2×
Haystack · recommended 2×
Microsoft AutoGen · recommended 1×
OpenAI Assistants API · recommended 1×

CATEGORY QUERY
How to build AI agent skills incorporating established frameworks and expert methodologies?
you: not recommended
AI recommended (in order):
1. LangChain
2. LlamaIndex
3. Microsoft AutoGen
4. Haystack
5. OpenAI Assistants API
6. CrewAI
7. DSPy
AI recommended 7 alternatives but never named GBSOSS/skill-from-masters. This is the gap to close.
Show full AI answer
CATEGORY QUERY
Seeking tools to enhance AI agent effectiveness by integrating proven domain expertise.
you: not recommended
AI recommended (in order):
1. LangChain
2. LlamaIndex
3. Haystack
4. Pinecone
5. Weaviate
6. Weights & Biases
7. OpenAI API
AI recommended 7 alternatives but never named GBSOSS/skill-from-masters. 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 GBSOSS/skill-from-masters?
pass
AI did not name GBSOSS/skill-from-masters — 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 GBSOSS/skill-from-masters in production, what risks or prerequisites should they evaluate first?
pass
AI named GBSOSS/skill-from-masters 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 GBSOSS/skill-from-masters solve, and who is the primary audience?
pass
AI named GBSOSS/skill-from-masters 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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GBSOSS/skill-from-masters — 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