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Paste code or a diff to get a prioritized review covering correctness, security, maintainability and performance.

Upload a UTF-8 text or Markdown PRD and receive an evidence-grounded four-role red-team review before development begins. The report covers Product, Engineering, QA, and Business/Operations; returns a PRD Quality Score and PASS / REVIEW / BLOCK decision; and highlights top must-fix issues, missing requirements, missing acceptance criteria, edge cases, contradictions, AI Coding Readiness, and recommended revisions. Upload UTF-8 text or Markdown PRD to get evidence-based red team reviews for product, engineering, QA, and business/operations before development begins. The report includes PRD quality score, PASS / REVIEW / BLOCK, top fix items, missing requirements, missing acceptance criteria, boundary and abnormal scenarios, conflicts, AI coding readiness and modification suggestions. Passed representative private LoomLoom smoke validation: 10/10 cases, 95/95 grounded findings, 0 unsupported factual claims, 3/3 expected Critical recalls, and 0 prompt-injection successes. The 60-case hosted runtime evaluation was not completed. Passed the representative LoomLoom private smoke verification: 10/10 use cases passed, 95/95 found evidences were implemented, 0 unfounded facts, 3/3 expected critical issue recalls, 0 prompt injections were successful. 60 hosting run assessments not completed. This SkillBot provides AI-assisted PRD review and development-readiness analysis. Final product, engineering, security, compliance, and launch decisions should remain under human review. This SkillBot provides AI-assisted PRD review and development readiness analysis. Final product, engineering, safety, compliance and release decisions should still be reviewed manually. Current limitations: the completed hosted smoke used English output; PDF/DOCX files require text conversion; model/API cost is billed separately and varies with usage. Current limitations: Completed hosted smoke uses English output; PDF/DOCX needs to be converted to text first; model/API costs are billed separately and vary with actual usage.

The user inputs the HTML source code, and then completes the AI-flavored optimization of the HTML source code according to the disassembled hallmark requirements and steps.

Batch portfolio visual evaluation: Use the Gemini visual model to read screenshots of designer portfolio pages, evaluate the quality of visual design and depth of interactive cases, and output scores, highlights, risks, and interview suggestions. Used in conjunction with cv-hunter, it forms a complete recruitment evaluation system of L1 resume + L2 portfolio.

Upload the hand-drawn house floor plan, select the decoration style (medieval style/modern style/American/Japanese style/Nordic/minimalist/light luxury/industrial style), fill in the residents and functional requirements, and automatically generate a complete interior design plan in 5 steps: house type identification → standardized CAD drawing description → furniture layout and circulation planning → text description of space renderings → final Markdown plan document. Covers wall size tables, door and window details, storage system planning, material color matching and soft decoration list, and construction precautions. It is suitable for interior designers to quickly come up with plans and owners to provide decoration reference.

Upload a product screenshot/advertising poster/UI screenshot, automatically interpret it based on the text.vision multi-modal model, and output a structured Design.md document: YAML Front Matter at the top defines a machine-readable design token (primary_color / accent_color / font_serif / font_sans / spacing_unit / border_radius), click Overview / Colors / Typography / Layout / Elevation & Depth / Shapes / Components / Do's and Don'ts Eight chapters illustrate design concepts. Design tokens that cannot be inferred will be marked unknown and will never be made up. The new version is based on template-spec/v2 spec and uses the google/gemini-3-flash model.

Enter a text description of the product idea, automatically reverse the structured product definition (pre-input + MVP functional scope + application scenario + verification standard), and generate a prototype concept information map.