Higgsfield Content Factory
DaanKieft/ai-influencer
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.
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'…
$ npx skills add OSideMedia/higgsfield-ai-prompt-skill --skill higgsfield-content-factory -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install OSideMedia/higgsfield-ai-prompt-skill higgsfield-content-factory --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ 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-srcUse ~/.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/
Install the "higgsfield-content-factory" agent skill from https://github.com/OSideMedia/higgsfield-ai-prompt-skill/tree/main/skills/higgsfield-content-factory into .claude/skills/higgsfield-content-factory/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "higgsfield-content-factory", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/OSideMedia/higgsfield-ai-prompt-skill/tree/main/skills/higgsfield-content-factoryType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add OSideMedia/higgsfield-ai-prompt-skill --skill higgsfield-content-factory -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install OSideMedia/higgsfield-ai-prompt-skill higgsfield-content-factory --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/OSideMedia/higgsfield-ai-prompt-skill.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/higgsfield-content-factory .agents/skills/higgsfield-content-factory && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "higgsfield-content-factory" agent skill from https://github.com/OSideMedia/higgsfield-ai-prompt-skill/tree/main/skills/higgsfield-content-factory into .agents/skills/higgsfield-content-factory/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "higgsfield-content-factory", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add OSideMedia/higgsfield-ai-prompt-skill --skill higgsfield-content-factory -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install OSideMedia/higgsfield-ai-prompt-skill higgsfield-content-factory --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/OSideMedia/higgsfield-ai-prompt-skill.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/higgsfield-content-factory .cursor/skills/higgsfield-content-factory && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "higgsfield-content-factory" agent skill from https://github.com/OSideMedia/higgsfield-ai-prompt-skill/tree/main/skills/higgsfield-content-factory into .cursor/skills/higgsfield-content-factory/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "higgsfield-content-factory", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/OSideMedia/higgsfield-ai-prompt-skill.git --path skills/higgsfield-content-factory--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add OSideMedia/higgsfield-ai-prompt-skill --skill higgsfield-content-factory -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install OSideMedia/higgsfield-ai-prompt-skill higgsfield-content-factory --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/OSideMedia/higgsfield-ai-prompt-skill.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/higgsfield-content-factory .gemini/skills/higgsfield-content-factory && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "higgsfield-content-factory" agent skill from https://github.com/OSideMedia/higgsfield-ai-prompt-skill/tree/main/skills/higgsfield-content-factory into .gemini/skills/higgsfield-content-factory/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "higgsfield-content-factory", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install OSideMedia/higgsfield-ai-prompt-skill higgsfield-content-factoryInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add OSideMedia/higgsfield-ai-prompt-skill --skill higgsfield-content-factory -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/OSideMedia/higgsfield-ai-prompt-skill.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/higgsfield-content-factory .github/skills/higgsfield-content-factory && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "higgsfield-content-factory" agent skill from https://github.com/OSideMedia/higgsfield-ai-prompt-skill/tree/main/skills/higgsfield-content-factory into .github/skills/higgsfield-content-factory/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "higgsfield-content-factory", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add OSideMedia/higgsfield-ai-prompt-skill --skill higgsfield-content-factory -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install OSideMedia/higgsfield-ai-prompt-skill higgsfield-content-factory --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/OSideMedia/higgsfield-ai-prompt-skill.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/higgsfield-content-factory .opencode/skills/higgsfield-content-factory && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "higgsfield-content-factory" agent skill from https://github.com/OSideMedia/higgsfield-ai-prompt-skill/tree/main/skills/higgsfield-content-factory into .opencode/skills/higgsfield-content-factory/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "higgsfield-content-factory", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
higgsfield-content-factoryA 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'. 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.
9 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 7075497. It shows what the files ask for, not the result of running them.
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.
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.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
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.
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.
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.
The full file from OSideMedia/higgsfield-ai-prompt-skill at commit 7075497, republished under its MIT licence (© OSideMedia). 1,780 words, ~3,455 tokens.
.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.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.
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.
Send one banner per stage, in plain language (no tool names):
| Stage | Banner |
|---|---|
| 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. |
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.
[VIDEO_COUNT].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.
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.
| # | Format | Share | What it is |
|---|---|---|---|
| 1 | UGC Entertainment | 20% | challenge / dare / entertainment-first; the product is the punchline |
| 2 | Street Interview | 20% | sidewalk stranger interviews where the product appears; high-trust "real people" feel |
| 3 | Unboxing | 20% | premium reveal energy — hands, packaging, the discovery moment |
| 4 | Product Review | 20% | honest talking-head; product in hand, label read aloud, ranking |
| 5 | ASMR | 20% | 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.
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:
Do not hardcode hook/setting/avatar UUIDs or invent a
generate_video.modeslug. Enumerate hooks/settings live (marketing-studio § 4 live-enumeration discipline) and pass the resolved IDs at generation time.
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).
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.
All research from live web searches; every idea validated against live Marketing Studio capability; UGC-first weighting.
15s single clips, or split-screen are out (or routed to an escape- hatch model — see § 6).
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.
The point of failure-avoidance here is the per-batch gate: never fire a whole campaign at once.
[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.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.
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.
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
SKILL.md and 1 other file in skills/higgsfield-content-factory of OSideMedia/higgsfield-ai-prompt-skill.
Open the folder on GitHubat commit 7075497
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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Higgsfield Content Factory this skillOSideMedia/higgsfield-ai-prompt-skill | 713 | — | ~3.5k | Automated safety check: Pass | MIT | |
| Higgsfield Content FactoryDaanKieft/ai-influencer | 116 | — | ~15k | Automated safety check: Pass | None | |
| Running MarketingGTM-Strategist/gtm-strategist-skills | 264 | — | ~7.8k | Automated safety check: Pass | MIT | |
| Campaign And Launch Planningsocial-media-skills/skills | 134 | — | ~1.7k | Automated safety check: Pass | MIT | |
| Getxapi ConnectLeoYeAI/openclaw-marketing-skills | 1k | 1 repos | ~715 | Automated safety check: Pass | Custom licence | |
| Paid Ads Creativenowork-studio/notfair-plugin | 3.9k | — | ~248 | Automated safety check: Pass | MIT |
DaanKieft/ai-influencer
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.
GTM-Strategist/gtm-strategist-skills
A skill your agent uses when the user wants to build an ongoing marketing engine, create a content strategy, set up social media publishing, plan influencer partnerships, or run email and paid ad…
social-media-skills/skills
Plan and orchestrate a product launch or social media campaign end to end — the multi-week arc, channel by channel.
LeoYeAI/openclaw-marketing-skills
Connect GetXAPI to pull public X/Twitter marketing signals into OpenClaw workflows.
nowork-studio/notfair-plugin
Create grounded paid-media creative concepts, copy angles, refresh hypotheses, and measurable test briefs across advertising platforms.
CoWork-OS/CoWork-OS
Comprehensive marketing strategy across 25 disciplines — positioning, copywriting frameworks, buyer psychology, SEO, CRO, paid ads, funnel architecture, content strategy, growth loops, analytics…
OSideMedia/higgsfield-ai-prompt-skill
A skill your agent uses whenever the user asks anything about Higgsfield AI — writing or refining video/image prompts, choosing a model (Kling, Veo, Wan, Seedance, Minimax Hailuo, DoP, Soul, Nano…
OSideMedia/higgsfield-ai-prompt-skill
A skill your agent uses when the user asks about Higgsfield Assist (the built-in GPT-5 copilot), how to use the platform's native AI assistant, credit optimization strategies, plan selection, how to…
OSideMedia/higgsfield-ai-prompt-skill
A skill your agent uses when the user wants to generate a cinematic still image on Higgsfield, asks about shot framing, camera angle, or composition for image prompts, needs a specific shot type…
OSideMedia/higgsfield-ai-prompt-skill
A skill your agent uses when the user asks about Mixed Media, wants to apply artistic preset styles to an image (Noir, Sketch, Paper, Canvas, Particles, Neon, etc.), combine multiple artistic…
OSideMedia/higgsfield-ai-prompt-skill
A skill your agent uses when the user asks about Moodboard, building a moodboard from reference images, curated moodboard presets, Soul Hex color transfer, applying a visual style direction to…
OSideMedia/higgsfield-ai-prompt-skill
A skill your agent uses when the user wants to apply a named Higgsfield motion preset, asks about VFX presets, transformation effects, elemental effects, or transition presets.
Categories
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'.
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.
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.
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.
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.
SKILL.md names no scripts, command-line tools or credentials: Higgsfield Content Factory is instructions for the agent only.
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.
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.
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.
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.
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.
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.