higgsfield-content-factory

higgsfield-content-factory is a Video marketing & short-form skill for AI agents, published by DaanKieft in the ai-influencer repository on GitHub. Skillspace rates higgsfield-content-factory F (48/100) and it passed the safety scan; the rating is based on static analysis only.

A 5-stage AI content pipeline using Higgsfield MCP, focused on viral UGC content split evenly across 5 formats: UGC Entertainment (challenges), Street Interview, Unboxing, Product Review, ASMR. Button-driven UX — clicks, no typed commands. Stage 1: probe Marketing Studio capability, research trends in the product's niche on Instagram, TikTok, YouTube, and turn them into prompts mapped to the 5 formats with picklist hooks. Stage 2: produce one HTML video content plan; user sets the count, the skill divides evenly across the 5 formats. Stage 3: generate videos one format batch at a time, then auto-generate the image asset pack via GPT Image 2.0. Stage 4: schedule to Meta Ads via Meta MCP. Stage 5: render a cost comparison — Higgsfield credits + USD spent vs traditional production cost. Trigger on a product image + content request, or phrases like 'create a campaign', 'build a content plan', 'make videos in Higgsfield', 'generate the image pack', 'schedule to Meta', 'run the content…

Grade
F
Quality
48 / 100
Safety
Passed
GitHub stars
84

Unproven: rated by static analysis only, not yet compared head-to-head.

Our two independent classifiers differ on this skill's category, so treat the placement as provisional.

This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.

Our review

Architecture
63 / 100
Maturity
Basic: a single SKILL.md
Security scan
No issues found
License
Not declared. Check the repository before reusing it.
Adoption
Adopted by 1 other repositories, in 0 collections

Not checked yet

  • Category is a classifier prediction; no model has read this skill yet
  • Not judged on the rubric yet (not a contender in its category)
  • No blind task eval yet
  • Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
  • Sibling files (scripts, references) not fetched; security scan covers SKILL.md only

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