REPOGEO REPORT · LITE
SkyworkAI/Skywork-R1V
Default branch main · commit 7c24efda · scanned 5/22/2026, 10:38:02 PM
GitHub: 3,160 stars · 281 forks
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.
2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).
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 SkyworkAI/Skywork-R1V, 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.
- highreadme#1Reposition the README's opening to clearly state its multimodal, vision-language, and open-source nature
Why:
CURRENTWelcome to the Skywork-R1V repository! Here, you'll find a series of state-of-the-art multimodal reasoning models with powerful agentic capabilities. From open-source versions with model weights and inference code to our latest closed-source offerings, the Skywork-R1V series delivers exceptional performance across vision understanding, code execution, and deep research tasks.
COPY-PASTE FIXWelcome to the Skywork-R1V repository! This repository features the Skywork-R1V series: state-of-the-art **open-source multimodal vision-language models (VLMs)** with powerful agentic reasoning capabilities. Specializing in vision understanding, code execution, and deep research tasks, Skywork-R1V models deliver exceptional performance and include readily available model weights and inference code.
- mediumtopics#2Add specific topics for 'vision-language model' and 'agentic AI'
Why:
CURRENTdeepseek-r1, grpo, llm, multimodal-r1, multimodal-understanding, r1v, reasoning, reinforcement-learning, skywork-r1v, vlm, vlm-r1
COPY-PASTE FIXdeepseek-r1, grpo, llm, multimodal-r1, multimodal-understanding, r1v, reasoning, reinforcement-learning, skywork-r1v, vlm, vlm-r1, vision-language-model, agentic-ai
- lowreadme#3Add a dedicated 'Key Capabilities' section to highlight core features
Why:
COPY-PASTE FIXAdd a new section immediately after the introductory paragraph, e.g.: ## ✨ Key Capabilities The Skywork-R1V series excels in: * **Multimodal Vision-Language Reasoning:** Advanced understanding and generation across image and text. * **Agentic Capabilities:** Empowering models with planning and tool-use for complex tasks. * **Code Execution:** Ability to generate and execute code for problem-solving. * **Deep Research Tasks:** Supporting complex analytical and exploratory work. * **Efficient Inference:** Quantized versions available for optimized 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.
- LLaVA · recommended 2×
- GPT-4o · recommended 1×
- Gemini 1.5 Pro · recommended 1×
- Llama 3 · recommended 1×
- Fuyu-8B · recommended 1×
- CATEGORY QUERYLooking for an AI model that combines vision-language understanding with agentic reasoning capabilities.you: not recommendedAI recommended (in order):
- GPT-4o
- Gemini 1.5 Pro
- Llama 3
- LLaVA
- Fuyu-8B
- Claude 3 Opus
- OWL-ViT
- OWL-V2
- GPT-4
AI recommended 9 alternatives but never named SkyworkAI/Skywork-R1V. This is the gap to close.
Show full AI answer
- CATEGORY QUERYNeed a lightweight, fast multimodal model for efficient vision understanding and deep research tasks.you: not recommendedAI recommended (in order):
- MobileVLM / MobileVLM V2
- LLaVA
- MiniGPT-4
- BLIP-2
- Flamingo
- OpenCLIP
AI recommended 6 alternatives but never named SkyworkAI/Skywork-R1V. This is the gap to close.
Show full AI answer
Objective checks
Rule-based audits of metadata signals AI engines weight most.
- Metadata completenesspass
- README presencepass
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 SkyworkAI/Skywork-R1V?passAI named SkyworkAI/Skywork-R1V explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
- If a team adopts SkyworkAI/Skywork-R1V in production, what risks or prerequisites should they evaluate first?passAI named SkyworkAI/Skywork-R1V 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 SkyworkAI/Skywork-R1V solve, and who is the primary audience?passAI named SkyworkAI/Skywork-R1V 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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SkyworkAI/Skywork-R1V — 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