higgsfield-recall

# Higgsfield Recall — Pre-Generation Memory Check ## Purpose Before writing any Higgsfield prompt, query both memory databases to find relevant past failures. Apply known fixes silently — the user should never have to remember what broke before. The system remembers for them. **This skill runs automatically** as part of any Higgsfield prompt generation. It does not interrupt the workflow unless it finds something relevant. **Bootstrap status:** The databases ship with seed entries covering the most common failure patterns (character drift, VHS style ignored, I2V static output, camera conflicts, lip-sync desync, content filter blocks for real persons and IPs). These grow automatically as the user logs new failures. --- ## When to Run Run a recall check whenever: - Writing or improving a Higgsfield prompt (any type) - The user mentions a topic, character, action, or style that could match past failures - The prompt contains terms that historically triggered content filters - The model being selected has previously produced poor results for this type of shot **Do NOT announce running the recall check.** Just run it, apply what's relevant, and proceed. Only surface findings when they directly change the prompt. --- ## Recall Workflow ### Step 1: Extract search terms from the prompt intent Before querying, pull the key semantic terms from what the user wants: ``` Extract: - Subject/character (person type, appearance) - Action (what they're doing) - Location/environmen...