madguyevans-creator/resale-agent-skill-hub/broker-recognize

Claude Code and agent skill by madguyevans-creator/resale-agent-skill-hub

Trust tier 2
  • community
LLM review pending
Source check pending

Checking that the SKILL.md file is still in the repository.

Product photo recognition for C2C resale. Use when user uploads a product photo and wants AI to identify the item for resale listing. Extracts brand, product name, model, category, condition grade (A-E), material, color, size, notable features, and visible flaws. Also usable standalone via /broker-recognize. Trigger phrases: "what is this", "identify this", "analyze this item", photo upload for resale.

Install

npx vskill@latest install madguyevans-creator/resale-agent-skill-hub/broker-recognize

SKILL.md

broker-recognize: Photo → Product Info

Extracts structured product information from user-uploaded photos for C2C resale listing purposes.

Prerequisite: ANTHROPIC_API_KEY

This skill uses the Anthropic API (Claude Vision) for image analysis. Your current LLM model may not support multimodal vision, so the skill calls the Vision API directly.

bash
export ANTHROPIC_API_KEY="sk-ant-..."

If the key is missing, the skill will output an error instructing the user to set it.

Workflow

  1. User provides 1-3 photos of the item
  2. Analyze using vision: brand, product name, model, category, condition (A-E), material, color, size, features, flaws, estimated original retail
  3. Present structured card to user for confirmation/correction
  4. Save product info to conversation context for next skill in pipeline

Condition Grade Scale

GradeLabelCriteria
ALike NewNo visible wear, original packaging if applicable
BExcellentMinor signs of use, no significant flaws
CGoodVisible wear, minor flaws, fully functional
DFairNoticeable wear/flaws, may need minor repair
EFor PartsSignificant damage, sold as-is

Key Rule

Be honest about flaws. Transparency is the foundation of C2C trust. A lost honest sale is better than a return from undisclosed flaws.

Script

scripts/recognize.py provides the structured prompt template and output schema.

Security

  • Security scanPassed, 100 of 100Pattern checks on the skill's files.
  • Model reviewNot runA model review is scheduled for the next rescan.

Quality evaluation

  • Task evaluationNot runNo evaluation yet. Run one in Skill Studio.

Source

Popularity

Repository stars
95
Repository forks
11
7-day trend score
23

Stars and forks are for the whole GitHub repository, not this skill alone. Not refreshed yet.

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