REPOGEO REPORT · LITE

antfu/shiki-stream

Default branch main · commit 251895f4 · scanned 6/12/2026, 6:01:59 PM

GitHub: 591 stars · 11 forks

AI VISIBILITY SCORE

40 /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

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 antfu/shiki-stream, 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

Rephrase the 'IMPORTANT' notice to emphasize the continuity of the streaming solution

Why:

CURRENT

> [!IMPORTANT]
> **This package has moved to `@shikijs/stream`.**
>
> Starting with **`shiki-stream@4.2.0`**, `shiki-stream` is a thin re-export of `@shikijs/stream` — existing imports keep working without code changes, but **all new code should import from `@shikijs/stream`** directly. Future development and releases will happen there.

COPY-PASTE FIX

> [!IMPORTANT]
> **`shiki-stream` is the original streaming highlighting solution, now part of the `@shikijs/stream` package.**
>
> Starting with **`shiki-stream@4.2.0`**, `shiki-stream` is a thin re-export of `@shikijs/stream` — existing imports keep working without code changes, but **all new code should import from `@shikijs/stream`** directly. Future development and releases for this streaming functionality will happen there.

mediumtopics#2
Add more specific topics related to real-time and incremental highlighting
Why:
CURRENT
```
llm, stream, syntax-highlighting
```
COPY-PASTE FIX
```
llm, stream, syntax-highlighting, real-time, incremental-highlighting, code-streaming
```

lowreadme#3

Add a dedicated section explaining the core differentiator

Why:

COPY-PASTE FIX

## Why choose Shiki-Stream (or @shikijs/stream)?

Unlike traditional syntax highlighting libraries that process entire code blocks at once, Shiki-Stream provides a `ReadableStream` of highlighted HTML. This enables real-time, incremental highlighting of code as it streams from a backend, making it ideal for dynamic content like LLM outputs and improving perceived performance.

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 antfu/shiki-stream

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

Prism.js

Recommended in 2 of 2 queries

COMPETITOR LEADERBOARD

Prism.js · recommended 2×
Shiki · recommended 2×
Monaco Editor · recommended 2×
Highlight.js · recommended 1×
CodeMirror · recommended 1×

CATEGORY QUERY
How to apply syntax highlighting to code snippets generated by AI in real-time?
you: not recommended
AI recommended (in order):
1. Highlight.js
2. Prism.js
3. Shiki
4. CodeMirror
5. Monaco Editor
AI recommended 5 alternatives but never named antfu/shiki-stream. This is the gap to close.
Show full AI answer
CATEGORY QUERY
What library can incrementally highlight code as it streams from a backend service?
you: not recommended
AI recommended (in order):
1. highlight.js
2. Prism.js
3. Shiki
4. CodeMirror 6
5. Monaco Editor
AI recommended 5 alternatives but never named antfu/shiki-stream. 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 antfu/shiki-stream?
pass
AI named antfu/shiki-stream explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
If a team adopts antfu/shiki-stream in production, what risks or prerequisites should they evaluate first?
pass
AI named antfu/shiki-stream 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 antfu/shiki-stream solve, and who is the primary audience?
pass
AI named antfu/shiki-stream 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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HTML

<a href="https://repogeo.com/en/r/antfu/shiki-stream"><img src="https://repogeo.com/badge/antfu/shiki-stream.svg" alt="RepoGEO" /></a>

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antfu/shiki-stream — 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