REPOGEO REPORT · LITE

AMAP-ML/SkillClaw

Default branch main · commit bf4dc2ee · scanned 6/30/2026, 12:08:34 AM

GitHub: 2,033 stars · 195 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

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 AMAP-ML/SkillClaw, 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

Add a clarifying sentence to the README's introduction

Why:

CURRENT

AI agent skills that evolve from every real interaction — just talk.<br>Across sessions, agents, devices, and users. Experience compounds. Skills keep growing.

COPY-PASTE FIX

AI agent skills that evolve from every real interaction — just talk.<br>Across sessions, agents, devices, and users. Experience compounds. Skills keep growing.<br><br>SkillClaw is a dedicated system for AI agents to continuously learn and evolve their capabilities through real-time interactions. It is *not* a tool for extracting skills from job descriptions or resumes.

mediumhomepage#2
Add a homepage URL to the About section
Why:
COPY-PASTE FIX
```
Add the official project website URL here.
```

lowreadme#3

Add a brief niche statement to the README

Why:

COPY-PASTE FIX

Unlike general ML frameworks or NLP libraries, SkillClaw focuses specifically on enabling AI agents to acquire, refine, and share skills dynamically through interaction.

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 AMAP-ML/SkillClaw

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

RasaHQ/rasa

Recommended in 1 of 2 queries

COMPETITOR LEADERBOARD

RasaHQ/rasa · recommended 1×
openai/gym · recommended 1×
DLR-RM/stable-baselines3 · recommended 1×
huggingface/transformers · recommended 1×
Prodigy · recommended 1×

CATEGORY QUERY
How can I build AI agents that continually improve their skills from user interactions?
you: not recommended
AI recommended (in order):
1. Rasa (RasaHQ/rasa)
2. OpenAI Gym (openai/gym)
3. Stable Baselines3 (DLR-RM/stable-baselines3)
4. Hugging Face Transformers (huggingface/transformers)
5. Prodigy
6. Label Studio (heartexlabs/label-studio)
7. Microsoft Azure Machine Learning
8. Azure Cognitive Services
9. Language Understanding - LUIS
10. QnA Maker
11. Google Cloud Vertex AI
12. Dialogflow ES
13. Dialogflow CX
14. LangChain (langchain-ai/langchain)
AI recommended 14 alternatives but never named AMAP-ML/SkillClaw. This is the gap to close.
Show full AI answer
CATEGORY QUERY
Need a system for AI agents to collectively learn and share evolving capabilities across users.
you: not recommended
AI recommended (in order):
1. OpenAI API
2. Hugging Face Transformers & Hub
3. LangChain
4. LlamaIndex
5. Ray
6. TensorFlow Federated
7. PyTorch Distributed
AI recommended 7 alternatives but never named AMAP-ML/SkillClaw. 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 AMAP-ML/SkillClaw?
pass
AI named AMAP-ML/SkillClaw explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
If a team adopts AMAP-ML/SkillClaw in production, what risks or prerequisites should they evaluate first?
pass
AI named AMAP-ML/SkillClaw 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 AMAP-ML/SkillClaw solve, and who is the primary audience?
pass
AI named AMAP-ML/SkillClaw explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

Embed your GEO score

Drop this badge into the README of AMAP-ML/SkillClaw. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

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MARKDOWN (README)

[![RepoGEO](https://repogeo.com/badge/AMAP-ML/SkillClaw.svg)](https://repogeo.com/en/r/AMAP-ML/SkillClaw)

HTML

<a href="https://repogeo.com/en/r/AMAP-ML/SkillClaw"><img src="https://repogeo.com/badge/AMAP-ML/SkillClaw.svg" alt="RepoGEO" /></a>

Pro

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AMAP-ML/SkillClaw — 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