Agent skill

Higgsfield Content Factory

by OSideMedia in OSideMedia/higgsfield-ai-prompt-skill

A skill your agent uses when the user wants to run a full ad-campaign pipeline on top of Higgsfield Marketing Studio — 'create a campaign', 'build a content plan', 'run the content pipeline'…

MITAuto-check passedMarketing & SEO

Install Higgsfield Content Factory

skills CLI
$ npx skills add OSideMedia/higgsfield-ai-prompt-skill --skill higgsfield-content-factory -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install OSideMedia/higgsfield-ai-prompt-skill higgsfield-content-factory --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/OSideMedia/higgsfield-ai-prompt-skill.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/higgsfield-content-factory .claude/skills/higgsfield-content-factory && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
higgsfield-content-factory
GitHub stars
713
Token cost
~3.5k tokens
SKILL.md length
1,780 words
Files
2
Skills in repo
33
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses when the user wants to run a full ad-campaign pipeline on top of Higgsfield Marketing Studio — 'create a campaign', 'build a content plan', 'run the content pipeline'…

  • Works in 9 steps: Two operating principles → Onboarding — one message, all buttons,… → The campaign mix — 5 UGC formats (even… → …
  • The user wants to run a full ad-campaign pipeline on top of Higgsfield Marketing Studio — create a campaign
  • SKILL.md covers 1. Two operating principles, 2. Onboarding — one message,…, 3. The campaign mix — 5 UGC… and 4. Stage 1 — Trend research &…, plus 5 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Higgsfield Content Factory is an agent skill from OSideMedia/higgsfield-ai-prompt-skill. Use when the user wants to run a full ad-campaign pipeline on top of Higgsfield Marketing Studio — 'create a campaign', 'build a content plan', 'run the content pipeline', 'generate 100 UGC videos', 'plan and schedule a launch', 'make a batch of ads from my product', or 'how much did this save vs traditional production'. Covers the 5-stage orchestration (Research → Plan → Generate → Publish → Report), the UGC-first 5-format campaign mix (UGC Entertainment, Street Interview, Unboxing, Product Review, ASMR), the…

Its SKILL.md is about 3.5k tokens, which your agent loads only when the skill is triggered. The skill folder holds 1 other file (for example `publish-and-report-workflow.md`).

It sits in Marketing & SEO, covering Influencer and creator marketing, Content strategy and Paid advertising. The repository describes itself as: Claude AI skill for cinematic Higgsfield AI prompts — 32 sub-skills covering Seedance 2.5 (omni-reference, video edit + extend) and 2.0, the Hell Grind feature-film pipeline, an… The licence is MIT.

When your agent uses it

  • The user wants to run a full ad-campaign pipeline on top of Higgsfield Marketing Studio — create a campaign
  • Build a content plan
  • Run the content pipeline
  • Generate 100 UGC videos

Example prompts

  • “create a campaign”
  • “build a content plan”
  • “run the content pipeline”
  • “/higgsfield-content-factory”

Workflow steps

9 steps, taken from the step headings in SKILL.md.

  1. Two operating principles
  2. Onboarding — one message, all buttons, no pauses
  3. The campaign mix — 5 UGC formats (even split)
  4. Stage 1 — Trend research & viral ideas
  5. Stage 2 — Video content plan
  6. Stage 3 — Generate in Marketing Studio
  7. Stages 4–5 — Publish & report
  8. Hard rules (consolidated)
  9. Source acknowledgment

What it can do on your machine

Read from SKILL.md and the folder at commit 7075497. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Higgsfield Content Factory loads about 3.5k tokens when it runs. Until then it costs about 197 tokens; SKILL.md has 1,780 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~197
When it runs · the whole SKILL.md, loaded when a task matches
~3.5k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from OSideMedia/higgsfield-ai-prompt-skill at commit 7075497, republished under its MIT licence (© OSideMedia). 1,780 words, ~3,455 tokens.

Download SKILL.mdSave it as .claude/skills/higgsfield-content-factory/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
higgsfield-content-factory
description
Use when the user wants to run a full ad-campaign pipeline on top of Higgsfield Marketing Studio — 'create a campaign', 'build a content plan', 'run the content pipeline', 'generate 100 UGC videos', 'plan and schedule a launch', 'make a batch of ads from my product', or 'how much did this save vs traditional production'. Covers the 5-stage orchestration (Research → Plan → Generate → Publish → Report), the UGC-first 5-format campaign mix (UGC Entertainment, Street Interview, Unboxing, Product Review, ASMR), the even-split allocation math, button-driven onboarding, the per-batch generation gate, and the publish + cost-report tail (satellite). Defers all Marketing Studio API ground-truth (presets, params, hooks, avatars) to higgsfield-marketing-studio.
user-invocable
true
metadata.tags
higgsfield, content-factory, campaign, pipeline, orchestration, ugc, marketing-studio, content-plan, batch-generation, ad-campaign
metadata.version
1.0.0
metadata.updated
2026-06-03
metadata.parent
higgsfield

Higgsfield Content Factory — Campaign Orchestration Pipeline

A 5-stage pipeline that runs a full ad campaign on top of Higgsfield Marketing Studio: Research → Plan → Generate → Publish → Report. Where higgsfield-marketing-studio is the engine reference (what the presets, parameters, hooks, and avatars are), Content Factory is the orchestration layer that drives a whole campaign turn by turn — researching trends, planning a dated content calendar, generating in batches, scheduling to ads, and reporting cost savings.

Translated from Adil Aliyev's higgsfield-content-factory source skill, per the v3.7.13 / v3.7.16 translation precedent. All Marketing Studio API ground-truth — preset slugs, parameter schema, hook/setting/avatar handling — lives in ../higgsfield-marketing-studio/SKILL.md and is NOT restated here. This sub-skill carries the pipeline scaffolding the marketing-studio sub-skill deliberately deferred. The publish + cost-report tail (Stages 4–5) lives in the companion publish-and-report-workflow.md satellite.


1. Two operating principles

Content is UGC-first. Every campaign defaults to a heavy share of UGC-family content — talking-head clips, honest reviews, ASMR close-ups, unboxing reveals. Hyper Motion, TV Spot, and Wild Card stay available but off the default mix. Every video idea must be producible inside one live Marketing Studio preset within its duration cap (see marketing-studio § 3 / § 7 for the canonical preset list and limits).

The interaction is button-driven. Every clarifying question is asked as a 2–4 option button choice (one round-trip), never a free-form "type your answer" for navigation, confirmation, or routing. Free-form typing is reserved for content the user must originate — and even then, always offer a smart default they can accept with one click. The only non-button steps are attaching a product image or pasting a product URL (both click-based file actions).

User-facing language rule (HARD). The user is not a developer. Do not narrate technical mechanics — no MCP tool names, no UUID resolution, no "running parallel searches," no enhanced-prompt internals. All of that runs silently. Send one plain-language stage banner when each stage starts, a brief "Stage N done — [deliverable]" between stages, then the next banner. The user sees a clean narrative arc, not a tool log. If the user asks "how does it work under the hood," then explain.

Stage banners

Send one banner per stage, in plain language (no tool names):

StageBanner
1🔍 Research & ideas — starting now. Scanning what's trending this week in your niche across Instagram, TikTok, and YouTube, then turning it into 15+ viral video ideas for your brand.
2🗂️ Content plan — starting now. Building your full video content plan as a polished document, every video mapped, dated, and ready to generate.
3🎬 Generating videos — starting now. Producing your videos in Marketing Studio, one preset at a time. I'll ask before each batch fires, so you stay in control.
3 (images)🖼️ Image asset pack — starting now. Generating your social posts, hero banners, and product stills via GPT Image 2.0.
4📅 Scheduling to ads — starting now. Setting up campaigns and scheduling across the calendar you approved.
5💰 Cost report — starting now. Compiling what you spent on Higgsfield versus what this volume would cost the traditional way.

2. Onboarding — one message, all buttons, no pauses

Ask the onboarding questions in a single button round-trip at the start. Do not ask them sequentially; do not pause between onboarding and the product request.

  • A — Higgsfield connection: "Yes — connected" · "Not yet — I'll connect now" · "Skip — research only."
  • B — Starting stage: Stage 1 full pipeline (needs a product) · Stage 2 build content plan (have a brief) · Stage 3 generate now (have a plan) · Stage 4 schedule (content ready). A product image with no other context defaults to Stage 1.
  • C — Video volume: 50 · 100 (recommended) · 150 · 200 · Other (any number). Store as [VIDEO_COUNT].
  • D — The product: "Attach your product image OR drop a URL — that's all I need to start." Skip D if a product is already attached. For Stage 3/4, swap D for "drop your existing content plan."

Send A + B + C as buttons and the product-attach prompt in the same message; once answered, proceed straight to the chosen stage with no extra confirmation.

Compute the per-format split silently the instant [VIDEO_COUNT] locks in — do not announce the breakdown here. It surfaces later, woven into the Stage 1 brief as a consequence of what the research showed, so it reads as a trend-driven choice rather than a config card.


3. The campaign mix — 5 UGC formats (even split)

Every campaign distributes evenly across five viral UGC formats. Cinematic secondary types (Hyper Motion / TV Spot / Wild Card) stay off-default — used only when the user explicitly asks.

#FormatShareWhat it is
1UGC Entertainment20%challenge / dare / entertainment-first; the product is the punchline
2Street Interview20%sidewalk stranger interviews where the product appears; high-trust "real people" feel
3Unboxing20%premium reveal energy — hands, packaging, the discovery moment
4Product Review20%honest talking-head; product in hand, label read aloud, ranking
5ASMR20%sound-led close-ups; caption-only, audible product handling

Allocation math. per_format = floor(VIDEO_COUNT / 5). If VIDEO_COUNT doesn't divide evenly, distribute the remainder one-per-format from format 1. Examples: 100 → 20/20/20/20/20; 50 → 10×5; 17 → 4/4/3/3/3.

This is the default mix and is user-overridable. The default share is a craft choice (UGC-first), not a platform rule.

Format → preset routing

Each format maps to a Marketing Studio preset. Route preset selection through the canonical mechanism documented in ../higgsfield-marketing-studio/SKILL.md § 3 (slug naming is canonical there; routing mode lives on a separate MCP call). At a glance:

  • Formats 1 (Entertainment), 2 (Street Interview), 5 (ASMR) → the UGC preset; what differentiates them is the system hook, the setting, the audio flag, and the prompt content — not a separate preset.
  • Format 3 (Unboxing) → the Unboxing preset.
  • Format 4 (Product Review) → the Product Review preset.

Do not hardcode hook/setting/avatar UUIDs or invent a generate_video.mode slug. Enumerate hooks/settings live (marketing-studio § 4 live-enumeration discipline) and pass the resolved IDs at generation time.

Concept seeds (vary within each format)

No two videos in the same format should be the same concept. Pull from seeds like: blind taste try, "$100 to try it" street challenge, will-it-pour (Entertainment); "rate it out of 10," "sing for the product," blind opinion → brand reveal (Street Interview); trio reveal, ribbon-pull solo drop, subscription-box drop (Unboxing); two-ingredient test, fridge-ranking, 7-day diary (Product Review); macro cap-unscrew + glug pour, condensation slide, spoon-clink ice-drop (ASMR).

ASMR is a style, not a preset

Render ASMR as the UGC preset with audio on, an intimate low-noise setting (Kitchen / Bathroom / Bedroom), usually no system hook, and a prompt focused on close-up handling sounds (cap unscrew, pour, glass clink, condensation). No talking; caption-only or silent open.


Show full SKILL.md (708 more words)Show less

4. Stage 1 — Trend research & viral ideas

All research from live web searches; every idea validated against live Marketing Studio capability; UGC-first weighting.

  1. Probe capability silently. Pull the current preset / hook / setting picklists live (marketing-studio § 4 / § 5 enumeration). Cache the hook + setting IDs for Stage 3. Never narrate this.
  2. Auto-detect product & niche from the image or URL — do not ask the user to confirm.
  3. Run trend research — a spread of web searches across the product's niche on the major platforms, plus at least two source-page fetches, run silently.
  4. Synthesize a Viral Content Brief (UGC-first): 15+ idea cards, each tied to a format + preset, with the campaign's format breakdown woven in as a consequence of what the research surfaced.
  5. Producibility self-check before adding any idea — every idea must be renderable inside one preset within the duration cap. Ideas needing lip-sync from non-human characters, multi-character coordinated dialogue,

    15s single clips, or split-screen are out (or routed to an escape- hatch model — see § 6).

  6. Approve via buttons before moving to Stage 2.

5. Stage 2 — Video content plan

Turn the approved brief into a dated content plan: one row per video ([VIDEO_COUNT] rows), bucketed by the 5 formats, each with its format, preset, concept, hook/setting intent, and a calendar date. Render it as a polished, saved document deliverable the user can review and approve before any generation fires. Interleave dates so formats rotate across the calendar rather than clustering.

6. Stage 3 — Generate in Marketing Studio

The point of failure-avoidance here is the per-batch gate: never fire a whole campaign at once.

  1. Upload the product silently and register it (marketing-studio § 6).
  2. Resolve hooks / settings / avatars at runtime per the cached picklists; never hardcode IDs.
  3. Generate one preset batch at a time, and ask before each batch fires with a button gate ("Generate the 20 UGC Entertainment videos now?"). This keeps the user in control and prevents a runaway spend.
  4. No on-screen text in prompts — Marketing Studio renders text unreliably; keep copy out of the generation and add it in post or via the image pack.
  5. Image asset pack (optional) — generate social posts / hero banners / product stills via GPT Image 2.0, scaling the count from [VIDEO_COUNT] (see ../higgsfield-gpt-image-2/SKILL.md for prompt craft; the count split skews toward social posts, then hero, then with/without-people stills). A standalone image-pack mode skips the videos entirely.
  6. Handle failures by re-resolving the picklist and retrying the single failed batch, not the whole campaign.
Escape hatch — ideas Marketing Studio can't render

If an idea genuinely needs lip-sync, longer narrative, or multi-shot continuity, label it "Outside Marketing Studio" and route to Wan 2.7 (synchronized audio + character-consistent), Veo 3.1 (cinematic, audio- friendly), Cinema Studio Video 3.0 (cinema-grade), Seedance 2.0 (reference- driven, multi-SKU), or Kling 3.0 (multi-shot, motion transfer). Use sparingly — UGC-first means most ideas stay inside Marketing Studio.

7. Stages 4–5 — Publish & report

Stage 4 (schedule & publish to Meta Ads) and Stage 5 (cost-comparison report) live in the companion publish-and-report-workflow.md satellite. That tail carries the most connector-dependent and estimate-based material, so its caveats are isolated there.


8. Hard rules (consolidated)

  • Button-driven navigation; free-form typing only for user-originated content, always with a one-click default.
  • 5-format even split as the default mix; user-overridable.
  • Producibility check before any idea ships to the plan.
  • Per-batch generation gate — confirm before each batch fires.
  • Hooks are visual scene templates, not verbal copy; never confuse a hook with caption text.
  • Between-stage confirmation before continuing.
  • Defer all API ground-truth to marketing-studio; never restate or invent preset slugs, parameter shapes, or UUIDs here.
  • Keep internals silent unless the user asks how it works.

9. Source acknowledgment

Translated from Adil Aliyev's higgsfield-content-factory source skill (997 lines). The 5-stage pipeline, the UGC-first 5-format campaign taxonomy with concept seeds, the even-split allocation math, the button-driven UX discipline, and the per-batch generation gate are the net-new orchestration material the v3.7.13 marketing-studio translation deliberately deferred. Marketing Studio API specifics are not re-documented here — they live in ../higgsfield-marketing-studio/SKILL.md, which also reconciled several source-corpus API claims (preset slug naming, avatar handling, the absence of a generate_video.mode slug); this sub-skill honors those reconciliations and routes all API decisions through it. Default format shares and concept seeds are craft opinion, presented as overridable defaults, not platform rules.

© OSideMedia, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 1 other file in skills/higgsfield-content-factory of OSideMedia/higgsfield-ai-prompt-skill.

  • SKILL.md
  • publish-and-report-workflow.md

Open the folder on GitHubat commit 7075497

Compare with similar skills

Higgsfield Content Factory next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Higgsfield Content Factory compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Higgsfield Content Factory this skillOSideMedia/higgsfield-ai-prompt-skill713—~3.5kAutomated safety check: PassMIT
Higgsfield Content FactoryDaanKieft/ai-influencer116—~15kAutomated safety check: PassNone
Running MarketingGTM-Strategist/gtm-strategist-skills264—~7.8kAutomated safety check: PassMIT
Campaign And Launch Planningsocial-media-skills/skills134—~1.7kAutomated safety check: PassMIT
Getxapi ConnectLeoYeAI/openclaw-marketing-skills1k1 repos~715Automated safety check: PassCustom licence
Paid Ads Creativenowork-studio/notfair-plugin3.9k—~248Automated safety check: PassMIT

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Categories

Questions about Higgsfield Content Factory

What does Higgsfield Content Factory do?

A skill your agent uses when the user wants to run a full ad-campaign pipeline on top of Higgsfield Marketing Studio — 'create a campaign', 'build a content plan', 'run the content pipeline'…. Higgsfield Content Factory is an agent skill from OSideMedia/higgsfield-ai-prompt-skill. Use when the user wants to run a full ad-campaign pipeline on top of Higgsfield Marketing Studio — 'create a campaign', 'build a content plan', 'run the content pipeline', 'generate 100 UGC videos', 'plan and schedule a launch', 'make a batch of ads from my product', or 'how much did this save vs traditional production'.

When should I use Higgsfield Content Factory?

Higgsfield Content Factory fits situations like: the user wants to run a full ad-campaign pipeline on top of Higgsfield Marketing Studio — create a campaign; build a content plan; run the content pipeline; generate 100 UGC videos.

How do I install Higgsfield Content Factory in Claude Code?

Run `npx skills add OSideMedia/higgsfield-ai-prompt-skill --skill higgsfield-content-factory -a claude-code`. Or copy the skill folder (skills/higgsfield-content-factory in OSideMedia/higgsfield-ai-prompt-skill) into .claude/skills/higgsfield-content-factory in your project. Claude Code loads it when a task matches its description.

How do I install Higgsfield Content Factory in Codex?

Run `npx skills add OSideMedia/higgsfield-ai-prompt-skill --skill higgsfield-content-factory -a codex`. Or copy the skill folder (skills/higgsfield-content-factory in OSideMedia/higgsfield-ai-prompt-skill) into .agents/skills/higgsfield-content-factory in your project. Codex loads it when a task matches its description.

Can I use Higgsfield Content Factory in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add OSideMedia/higgsfield-ai-prompt-skill --skill higgsfield-content-factory -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/higgsfield-content-factory, .gemini/skills/higgsfield-content-factory, .github/skills/higgsfield-content-factory and .opencode/skills/higgsfield-content-factory in your project.

What does Higgsfield Content Factory need to run?

SKILL.md names no scripts, command-line tools or credentials: Higgsfield Content Factory is instructions for the agent only.

Does Higgsfield Content Factory access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Higgsfield Content Factory safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Higgsfield Content Factory use?

Higgsfield Content Factory is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Higgsfield Content Factory use?

About 3.5k tokens (SKILL.md is roughly 14k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Higgsfield Content Factory?

Skills that share tags, products or a category with Higgsfield Content Factory: Higgsfield Content Factory (DaanKieft/ai-influencer, 116 stars), Running Marketing (GTM-Strategist/gtm-strategist-skills, 264 stars), Campaign And Launch Planning (social-media-skills/skills, 134 stars) and Getxapi Connect (LeoYeAI/openclaw-marketing-skills, 1k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Higgsfield Content Factory?

OSideMedia (a GitHub user) maintains it in OSideMedia/higgsfield-ai-prompt-skill, which has 713 GitHub stars. The repository holds 33 skills in this directory. The repository was last updated on September 27, 2026.

Source: OSideMedia/higgsfield-ai-prompt-skill on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.