Higgsfield Media

higgsfield-media

Purpose

Turn a creative brief into a finished image or video asset (or a coordinated set of assets) using the right Higgsfield model for the job, at the right credit cost, with the output saved to disk and a manifest written for downstream skills to consume.

Preflight check

Run before every brief.

1. Verify Higgsfield MCP is connected. Run scripts/check-mcp.ps1. If the script exits non-zero, print the one-line install command and stop:

claude mcp add --transport http --scope user higgsfield https://mcp.higgsfield.ai/mcp

2. Verify credit balance. Run scripts/check-balance.ps1. Block if balance is below 50 credits and the planned batch will overrun.

Behavior: seven phases

The skill runs in seven phases. Skip a phase only when the user says so.

Phase 1: Preflight

MCP connected. Balance fetched. Credit ledger read for the current month.

Phase 2: Brief intake

Read the user's request. Extract:

• Asset type (image, video, multi-asset pack)
• Quantity (single, batch of N, full pack)
• Aspect ratio (1:1, 16:9, 9:16, 4:5)
• Output usage (LinkedIn, Instagram, blog hero, ad, internal slide)
• Subject (product, person, scene, abstract)
• Style cues (cinematic, flat lay, lifestyle, editorial, illustration)
• Text requirement (any copy that must render legibly)
• Character consistency requirement
• Budget cap if specified

Ask at most three pointed questions for missing fields. Default to sensible choices when in doubt.

Phase 3: Model selection

Apply the decision matrix in references/model-selection.md. Prefer unlimited models for iteration. Reserve paid credits for the final render. Print the selected model and the cost estimate before generating.

Phase 4: Cost confirmation

Compute projected credits for the full batch. Print one line:

model=<slug> count=<N> credits/unit=<X> total=<Y> percent_of_monthly=<Z>%

Require explicit yes from the user for any single generation over 40 credits or any batch over 100 credits total. Smaller jobs proceed without asking.

Phase 5: Generation

Call the Higgsfield MCP tool. Image jobs return a URL synchronously. Video jobs return a job handle; poll get_generation_status every 8 seconds. Cap polling at 5 minutes. On timeout, surface the job handle and stop polling.

Phase 6: Download and organize

Download every URL to a structured output tree:

output/
  YYYY-MM-DD/
    PROJECT-SLUG/
      images/
        001_nano-banana-pro_4k_2c.png
      videos/
        001_kling-3-0_5s_6c.mp4
      manifest.json

Filename pattern: <seq>_<model-slug>_<format-hint>_<credits>c.<ext>. Write manifest.json incrementally after every generation so a crash mid-batch leaves a readable record. Schema in [references/manifest-schema.md] if you split it out, otherwise inline in this section.

Manifest fields per generation: seq, type, model, prompt, params, credits, url, local_path, duration_seconds, status.

Top-level fields: project_slug, brief, started_at, balance_before, balance_after, generations.

Append a row to output/credit-ledger.csv for every generation: timestamp, project, model, credits, balance_after.

Phase 7: Handoff

If the brief calls for video assembly, write video-config.yaml referencing the downloaded clips and pass control to remotion-video. See references/remotion-handoff.md.

If the brief calls for a document or pitch deck, hand off to docx or pptx with the image paths.

Decision matrix preview

Full matrix in references/model-selection.md. Quick reference:

Credit cost summary

Approximate, verify current numbers in references/credit-costs.md.

Output folder structure

Every project gets its own folder under output/YYYY-MM-DD/PROJECT-SLUG/. manifest.json is the source of truth. output/credit-ledger.csv aggregates spend across all projects.

Engineering standards (non-negotiable)

1. Root-cause fixes only. Read MCP error payloads. No frontend patches when the MCP returns errors.
2. Smoke tests verify real generation. A 1-credit Flux 2 Pro probe with file download is the smoke test, not a claude mcp list health check.
3. No silent fallbacks. If Higgsfield errors, surface it. Never substitute another provider without explicit user opt-in.
4. Verify credit balance before any batch over 50 credits.
5. Maintain manifest.json per project and credit-ledger.csv across the workspace.
6. Confirm with the user before any single generation over 40 credits or any batch over 100 credits.

Hard constraints

• Never queue a job that would push balance below 20 credits without explicit confirmation.
• Never silently fall back to another provider on Higgsfield error.
• Never proceed past Phase 4 without printing the cost line.

Composes with

• Runs alongside mobile-app-scaffold for App Store screenshot generation.
• Hands off to remotion-video for clip assembly with TTS.
• Hands off to docx and pptx for asset embedding in deliverables.
• Hands off to frontend-design for hero image generation in web projects.

References

• references/api-contract.md - verified MCP tool names and parameter shapes, with last-verified date.
• references/model-selection.md - full decision matrix with worked examples.
• references/credit-costs.md - current credit prices, last-verified date.
• references/marketing-studio-presets.md - the canned modes.
• references/prompting-cookbook.md - model-specific prompt tips.
• references/soul-character-workflow.md - character training and reuse.
• references/remotion-handoff.md - video-config.yaml format.
• references/troubleshooting.md - OAuth, timeouts, rate limits, model-not-found.