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Found 93 Skills
Integrate multiple plot point analysis results into a comprehensive report, and generate high-quality analysis through deduplication, classification, sorting, and summarization. Suitable for integrating multiple analysis sources and generating unified reports
Process images using object detection, classification, and segmentation. Use when requesting "analyze image", "object detection", "image classification", or "computer vision". Trigger with relevant phrases based on skill purpose.
Run ML model inference (YOLO, YOLOv8, CLIP, SAM, Detectron2, etc.) on FiftyOne datasets. Use when running models, applying detection, classification, segmentation, embeddings, or any model prediction task. Also use for end-to-end workflows that include importing data then running inference.
Analyzes and processes images using Claude's vision capabilities. Supports OCR, image classification, diagram comparison, chart analysis, visual Q&A, and more. Use when users need to understand, extract, or analyze visual content.
Design taxonomy structure for categories, tags, or hierarchical classification. Supports flat, hierarchical, and faceted patterns.
Identifies subdomains and suggests bounded contexts in any codebase following DDD Strategic Design. Use when analyzing domain boundaries, identifying business subdomains, assessing domain cohesion, mapping bounded contexts, or when the user asks about DDD strategic design, domain analysis, or subdomain classification.
Extract structured forensic evidence from SEC filings (10-K, 10-Q, 8-K, S-1 proxy appendices) for accounting-quality analysis. Use when a user asks to review filings, gather red flags, or prepare inputs for Shenanigans classification.
Import external articles into a Fumadocs project with automatic multi-language translation (en, zh, fr), AI-powered classification into 8 categories, image processing, and MDX conversion. Use this skill when the user wants to import an article from a URL into their Fumadocs documentation site.
Create an interactive classification quiz MicroSim using p5.js where students read scenarios and classify them into the correct category from multiple choice options. Uses a data.json file for easy question editing. Ideal for teaching students to recognize patterns, identify types, or categorize examples across any subject domain.
Input contracted creators with their required vs. actual post counts and receive a compliance table with status classifications and escalation notes for non-compliant creators. This skill should be used when checking which creators have fulfilled their posting obligations, auditing deliverable completion across a campaign, tracking contracted vs. actual posts for an influencer program, identifying which creators are behind on deliverables, building a compliance report for campaign creators, flagging overdue or missing creator posts, reviewing posting status across all creators in a campaign, generating escalation notes for non-compliant influencers, or producing a deliverable tracker for a creator campaign. For checking whether a specific piece of content matches the brief requirements, see content-to-brief-compliance-checker. For chasing a specific creator about a late deliverable, see universal-creator-follow-up-chaser. For building a full campaign report with ROI metrics, see campaign-roi-calculator.
Domain-specific keyword mappings for research report generation. Includes ROS2, AI/ML, and general engineering keywords for chapter classification and content mapping.
Test execution patterns, failure classification, and result analysis