REPOGEO REPORT · LITE

luongnv89/asm

Default branch main · commit e3e5619d · scanned 6/17/2026, 2:21:15 AM

GitHub: 603 stars · 45 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 luongnv89/asm, 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 'ASM' acronym in README to prevent misinterpretation

Why:

CURRENT

<p align="center">
  Stop juggling skill directories across Claude Code, Codex, Cursor, Windsurf, and 10+ other AI agents.<br/>
  <strong>agent-skill-manager</strong> (<code>asm</code>) gives you a single TUI and CLI to install, search, audit, and organize all your agent skills — everywhere.
</p>

COPY-PASTE FIX

<p align="center">
  Stop juggling skill directories across Claude Code, Codex, Cursor, Windsurf, and 10+ other AI agents.<br/>
  <strong>ASM (Agent Skill Manager)</strong> is *not* for assembly language; it gives you a single TUI and CLI to install, search, audit, and organize all your agent skills — everywhere.
</p>

mediumtopics#2

Add more specific topics for AI skill management

Why:

CURRENT

agents, ai, aiagents, coding, skills

COPY-PASTE FIX

agents, ai, aiagents, coding, skills, skill-management, agent-skills, ai-agent-orchestration, skill-catalog, ai-tools

mediumreadme#3

Add a 'Comparison' section to differentiate from generic tools

Why:

COPY-PASTE FIX

Add a new section titled 'Why ASM? (Comparison to X, Y, Z)' or 'How ASM Differs' that explains how `asm` is distinct from general AI frameworks (like LangChain, LlamaIndex) or development environments (like VS Code, Jupyter) by focusing specifically on *skill management* for *multiple* agents. This section should highlight that ASM is a *meta-tool* for managing skills across *different* agents, not an agent framework itself.

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 luongnv89/asm

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

jupyter/notebook

Recommended in 1 of 2 queries

COMPETITOR LEADERBOARD

jupyter/notebook · recommended 1×
jupyter/jupyterlab · recommended 1×
microsoft/vscode · recommended 1×
GitHub Copilot · recommended 1×
Codeium · recommended 1×

CATEGORY QUERY
How can I efficiently manage diverse skills for various AI coding assistants?
you: not recommended
AI recommended (in order):
1. Jupyter Notebooks (jupyter/notebook)
2. JupyterLab (jupyter/jupyterlab)
3. VS Code (microsoft/vscode)
4. GitHub Copilot
5. Codeium
6. Git (git/git)
7. GitHub
8. GitLab (gitlabhq/gitlabhq)
9. Bitbucket
10. Cookiecutter (cookiecutter/cookiecutter)
11. MLflow (mlflow/mlflow)
12. Docker (moby/moby)
13. Podman (containers/podman)
14. Confluence
15. Notion
16. Obsidian
AI recommended 16 alternatives but never named luongnv89/asm. This is the gap to close.
Show full AI answer
CATEGORY QUERY
Looking for a centralized tool to organize and deploy skills for all my AI agents.
you: not recommended
AI recommended (in order):
1. LangChain
2. LlamaIndex
3. Microsoft Semantic Kernel
4. OpenAI Assistants API
5. Haystack
6. Rasa
AI recommended 6 alternatives but never named luongnv89/asm. 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 luongnv89/asm?
pass
AI named luongnv89/asm explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
If a team adopts luongnv89/asm in production, what risks or prerequisites should they evaluate first?
pass
AI did not name luongnv89/asm — 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?
In one sentence, what problem does the repo luongnv89/asm solve, and who is the primary audience?
pass
AI named luongnv89/asm explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

Embed your GEO score

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Live preview

MARKDOWN (README)

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HTML

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Deep reports10 / month
Brand-free category queries5 vs 2 in Lite
Prioritized action items8 vs 3 in Lite