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hermoso-ai

Hermoso

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README.md
# Hermoso — MCP, CLI & Skills

Run your whole marketing operation from **any AI agent**: Claude Code, Claude.ai, Cursor, Codex, or your own
scripts. Research the ads already winning in a market, generate finished image & video ads (your real product
composited in, copy + CTA included), publish them to your own social channels, and build & manage the ad
campaigns behind them, all over [MCP](https://modelcontextprotocol.io) tools, a CLI, or installable Claude skills.

**896 tools.** `tools/list` is always the authoritative set; `hermoso_capabilities` (free) returns the live model
catalog with exact per-render credit costs plus the full capability map.

**Most of it costs nothing.** Publishing and scheduling posts, building and managing paid campaigns, analytics
and insights, comments and DMs, connectors, profiles and team seats are **free on every plan**, with no
per-post or per-channel fee and no seat pricing. Credits are spent only on running an AI model (image, video,
voice, text, planning, post-production) and on Ad Spy research, and posting an ad you already rendered is never a
second charge. The one exception is X (Twitter), where posting and reads bill a few credits per call because X
charges per API request.

**What it connects to.** Ad platforms: Meta, Google Ads, TikTok Ads, LinkedIn Ads, Reddit Ads, X Ads,
Pinterest Ads, Snapchat Ads, Microsoft Advertising, Apple Search Ads, ChatGPT Ads and AppLovin Ads, plus
product feeds in Google Merchant Center. Publishing and scheduling — **ten** channels: Facebook, Instagram,
Threads, TikTok, YouTube, X, LinkedIn, Pinterest, Bluesky and Telegram. Messaging: WhatsApp (you message a
person, so it is not an eleventh publishing channel) and Instagram DM automations (a keyword comment, a DM, a
story reply or an ig.me link gets an automatic private reply). Ad research: the Meta, Google and LinkedIn ad libraries plus organic TikTok,
Instagram, YouTube, Threads and Reddit. Analytics: Google Analytics 4, Google Search Console and every
connected platform's own post and campaign insights. Files: Google Drive, Sheets, Docs and OneDrive.

**It is not all-or-nothing.** Research, creation, publishing/scheduling and ads management are four *independent*
areas — no tool requires that you used another one first. Publish or schedule creative you already have and
generate nothing here (`upload_file` turns any local or external file into a URL every publish, schedule and
ad-build tool accepts); build and read campaigns on your own ad accounts with your own creative; research
competitors with no brand drafted and no channel connected; or generate a file with nothing connected at all and
just download it. Use the one piece you need, or all of it together.

## Install in one command

This repo is a plugin marketplace, a Gemini CLI extension and a skills package at once, so a coding agent takes
Hermoso in one line. Every install brings the same five skills (`hermoso-research`, `hermoso-generate`,
`hermoso-ad-from-brand`, `hermoso-product-photoshoot`, `hermoso-marketing`), and the skills drive the `hermoso`
CLI through `npx`. No
tool list is loaded into your session: a CLI command costs nothing until it runs, and it reaches every tool.
The first time, your agent runs `npx -y hermoso auth login`, which opens a browser to sign in.

**Claude Code:**

```bash
claude plugin marketplace add hermoso-ai/hermoso && claude plugin install hermoso@hermoso
```

Inside a session the same thing is `/plugin marketplace add hermoso-ai/hermoso` then `/plugin install hermoso@hermoso`.

**Codex CLI** (it reads the same marketplace file):

```bash
codex plugin marketplace add hermoso-ai/hermoso && codex plugin add hermoso@hermoso
```

**Gemini CLI:**

```bash
gemini extensions install https://github.com/hermoso-ai/hermoso
```

**Grok** (xAI) comes in three shapes, and each one connects differently:

- **grok.com and the Grok apps** take the hosted connector: open **Plugins → Connectors → New Connector → Custom**
  (or go straight to grok.com/connectors), paste `https://app.hermoso.ai/mcp` and sign in with your Hermoso account.
- **Grok Bot**: add the [Hermoso Marketing Bot template](https://x.ai/bot/THQqogUKuhn1whWU0hrmb). It arrives wired
  to Hermoso and asks for a key, which you create in the app under **MCP & CLI → Terminal & API keys**.
- **Grok Build**, xAI's terminal agent, runs a local MCP server. Sign in once, then add it:

  ```bash
  npx -y hermoso auth login
  grok mcp add hermoso -- npx -y hermoso mcp
  ```

**Cursor, OpenCode, GitHub Copilot, Windsurf and about 75 more agents**, through the open skills installer:

```bash
npx skills add hermoso-ai/hermoso
```

It asks which agents to install into; `-a opencode` (or `cursor`, `github-copilot`, `windsurf`) picks one, and
`--skill hermoso-research` installs a single skill. VS Code agent plugins can also take this repo whole: run
**Chat: Install Plugin From Source** and paste `https://github.com/hermoso-ai/hermoso`.

**ChatGPT and Claude.ai** run in a browser and cannot run a CLI, so they use the hosted connector instead (see
below). The ChatGPT desktop app and ChatGPT workspace admins can also read this repo's
`.claude-plugin/marketplace.json`, which installs the skills.

No browser on the machine? Create a key in the app under **MCP & CLI** and run
`npx -y hermoso auth login --token <key>`.

## Which surface should your agent use?

Two shapes, and the right one is decided by **what your client can do**, not by which we prefer.

| Your client | Use | Why |
| --- | --- | --- |
| **Runs in a browser**: Claude.ai, ChatGPT, Claude Desktop | the hosted connector `https://app.hermoso.ai/mcp` | It cannot spawn a local process, so a URL is the only shape it has. Nothing to install, no key to paste, and the full toolset arrives with your saved brand context. This is the right answer for these clients, not a lesser one. |
| **Can run a shell**: Claude Code, Codex, Gemini CLI, Cursor, Cline, OpenClaw, Hermes, your own scripts | the one-command install above, or the CLI itself (`npm install -g hermoso`) | A tool manifest is loaded into every session whether or not a tool is called. A shell command costs nothing until it runs, and it reaches **every** tool rather than the default roster. |

The CLI answers the questions a tool manifest would, on demand and only when asked:

```bash
npx -y hermoso tools --search reddit   # every matching tool, name + one line
npx -y hermoso tools plan_ad           # one tool's full argument schema
npx -y hermoso call plan_ad --json '{"product":"…"}'   # run it
```

`tools` and `tools <name>` read a registry bundled in the package (no key, no network, no sign-in), so an agent
can browse the entire product before anyone signs in. Only `call` spends, and only that needs
`hermoso auth login` once.

**Want the tools in your coding agent's own list as well?** That is the MCP server, and it is optional. One
`hermoso auth login` covers the CLI *and* lets `claude mcp add hermoso -- npx -y hermoso mcp` pick the key up with
no `env` block, so the agent can reach for a native tool when it wants structured results and shell out when it
wants breadth. It costs context in every session, so add it when a session settles into one area and makes many
calls there; `enable_tools({groups:['ads']})` then turns campaign management on in a single free call.

## Your agent can sign itself up

An agent with no Hermoso account can provision one, get its own key, and be rendering ads in the same session.
No human at a browser, no ticket, no waiting.

```bash
# 1. Start a signup. This call takes no credential, because the credential is what it creates.
curl -sX POST https://app.hermoso.ai/v1/signup \
  -H 'content-type: application/json' \
  -d '{"plan":"pro","period":"mo","email":"you@yourcompany.com"}'
# -> { "id": "cs_...", "checkout_url": "https://checkout.stripe.com/...", "claim_token": "hsc_...", "email": { "address": "you@yourcompany.com", "verified": false } }
# email = the human behind the account. A verification link goes there; the account works before it is clicked.
# It is a contact mailbox only, never a sign-in. GET /v1/account/email reports the state; POST /v1/account/email/resend re-sends or changes it.

# 2. Pay at checkout_url. Store claim_token first: it is returned only in that response.

# 3. Claim it. Poll until status is "ready".
curl -sX POST https://app.hermoso.ai/v1/signup/cs_.../claim \
  -H 'content-type: application/json' \
  -d '{"claim_token":"hsc_..."}'
# -> { "status": "ready", "api_key": "hmk_...", "credits": 3000 }
```

That `hmk_` key is the same credential everything else on this page takes: `/v1`, the MCP server, the CLI. Point
your client at it and the full surface is open.

**Paying is something a browser-capable agent can already do itself.** Checkout is Stripe's own hosted page, so
Claude in Chrome and clients like it complete it unattended today. Everything else is a one-click handoff: send
`checkout_url` to whoever holds the card. The same shape covers you later, once you are running: `buy_credits`
and `upgrade_plan` mint a ready-to-pay link for more credits or a bigger plan, and `billing_status` reads the
balance any time.

**An agent with its own payment credential can pay with no human at all.** `POST /api/billing/machine-payment`
with `{"packId": "pack-1k"}` answers HTTP 402 carrying a `WWW-Authenticate: Payment` challenge (Stripe, through the
Machine Payments Protocol); pay the challenge and retry, and the same credit pack lands on the same balance.
`GET /api/billing/config` lists the packs under `machinePayments`. Same packs, same prices, no per-call billing.

**The agentic path takes a paid plan.** Any of them. The free plan is there for a person signing up at
[app.hermoso.ai](https://app.hermoso.ai), and asking for it here returns a refusal that says so. Nothing is
created until the payment completes, so an unpaid signup leaves no account behind and charges nothing.

**One thing still wants a person, and it is worth knowing up front.** Connecting a social or ad account means an
OAuth consent screen, and a consent screen cannot be completed headlessly on any platform. `list_connectors`
shows what is already connected and what is not. Everything else runs with no browser at all: research,
generation, publishing to a channel that is already connected, campaign builds, reporting.

Full request and response shapes, plus every other endpoint, are in the OpenAPI document at
[app.hermoso.ai/openapi.json](https://app.hermoso.ai/openapi.json), served live from the same table that mounts
the routes.

## Instant: the hosted Claude.ai connector

Paste **`https://app.hermoso.ai/mcp?src=readme`** into Claude → Customize → Connectors → Add → *Add custom connector*,
press Continue, choose **Sign in now** under Authentication (Claude's detector pre-selects "No sign-in" because our
discovery handshake is open, and with that your first request comes back "Authentication required"), press Add and
Connect, approve with your Hermoso account, and you are done: the full toolset with your saved brand context, billed to your plan.

## Quickstart for Claude Code (one command)

1. **Get an account** at [app.hermoso.ai](https://app.hermoso.ai). The free tier is included; plans and credits
   are the same ones the web Studio uses. Or skip the browser entirely and let your agent sign itself up on a paid
   plan with `POST /v1/signup` (above).
2. **Install the plugin.** It adds the five Hermoso skills, which drive the `hermoso` CLI through `npx`:

```bash
claude plugin marketplace add hermoso-ai/hermoso && claude plugin install hermoso@hermoso
```

   Already inside a session? `/plugin marketplace add hermoso-ai/hermoso`, then `/plugin install hermoso@hermoso`.
   Codex, Gemini CLI and the rest are in [Install in one command](#install-in-one-command).
3. **Sign in once.** `npx -y hermoso auth login` opens your browser; your agent also runs it by itself the first
   time it needs Hermoso. On a machine with no browser, use `npx -y hermoso auth login --token hmk_…` with a key
   from the **MCP & CLI** tab, under **Terminal & API keys** (Settings → API keys, or https://app.hermoso.ai/?tab=api-keys, go straight there).
4. **Ask for what you want**, in your normal prompts. Claude Code picks the Hermoso skill for the job and runs the
   commands. You type none of them.

Rather install the CLI by hand? `npm install -g hermoso` puts the same `hermoso` command on your PATH, and the
skills use it when it is there.

The hosted URL works in Claude Code too, but the plugin is the lighter path there because it loads no tool list
into your sessions. If you want the connector: `claude mcp add --transport http hermoso "https://app.hermoso.ai/mcp?src=readme"`,
and `claude mcp list` reports `! Needs authentication` until you run `claude mcp login hermoso` once and approve in
your browser (`--no-browser` prints the link on a headless machine). Measured against Claude Code 2.1.282 on 2026-09-25.

Your agent now has the full studio **with your profile's context**: the brand details, products, logos and
learned memory you set up in the web app apply automatically (`get_brand` shows what's saved; omit `brand` in
`plan_ad`/`plan_variations` to use it). Renders bill your Hermoso credits, at the same prices as the Studio. Only AI model runs and Ad Spy research spend credits; publishing, scheduling, ads management and analytics are free on every plan (posting to X and reading X data are the one per-call exception, managing X ads is free).

## 1. MCP server (stdio), optional in a coding agent

`hermoso mcp` runs a stdio MCP server exposing the full toolset, for a client that wants Hermoso's tools in its own
list. The published `hermoso` package means no clone: `npx -y hermoso mcp` fetches and runs it. Sign in once with
the CLI and no key goes into any client config, because `hermoso mcp` reads the bearer `hermoso auth login` stored:

```bash
npm install -g hermoso && hermoso auth login && claude mcp add hermoso -- npx -y hermoso mcp
```

On a machine with no browser, skip the sign-in and pass the key to the client instead:

```bash
claude mcp add hermoso -e HERMOSO_TOKEN=hmk_… -- npx -y hermoso mcp
```

Cursor / Codex: sign in the same way, then add to `mcp.json` (Codex uses the TOML equivalent). Drop the `env`
block entirely if you signed in above; it is there for CI, where the process cannot read your home directory:

```json
{ "mcpServers": { "hermoso": { "command": "npx", "args": ["-y", "hermoso", "mcp"],
  "env": { "HERMOSO_API_BASE": "https://app.hermoso.ai", "HERMOSO_TOKEN": "<your token>" } } } }
```

Then ask your agent: *“Generate an image ad with Hermoso.”*

### What the 896 tools cover

**Ad spy / research** — `find_competitors`, `competitor_teardown`, `pull_competitor_ads`, `research_ads`; the
Meta / Google / LinkedIn ad libraries (`search_meta_ads`, `search_google_ads`, `search_linkedin_ads`); organic
social (`search_tiktok`, `search_instagram`, `search_youtube`, `search_reddit`, `search_threads`);
`fetch_social_data`, `mine_angles`, `analyze_video`, `check_ad_policy`, `list_skills` / `get_skill`.

**Create** — `draft_brand` → `plan_ad` → `render_ad` (the Studio quality pipeline: composited text, clean speech,
music, brand end card), or `generate_image` / `generate_video` / `generate_avatar` (UGC creators + lip-sync).
The workspace's **saved cast** is reusable: `list_creators` returns every saved creator with their portrait url,
`save_creator` adds one, `delete_creator` drops one — re-pass a portrait to `generate_avatar` / `generate_video` /
`recast_motion` and the SAME person stars in every ad, instead of a new face each render.
Also `make_template_ad` (native HTML ad formats), `make_explainer`, `product_sizzle`, `make_thumbnail`,
`clone_static`, `recast_motion`, `reframe_video`, `upscale_video`, `dub_video`, `change_voice`, `finish_video`,
`fix_beat`, `stitch_video`, `clip_video`, `post_edit`, plus `plan_variations` + `score_ad` to fan out and rank.
**Length is yours to set:** pass `durationSeconds` to `plan_ad` and the storyboard is *authored* to it — a length
that fits one clip of the render model renders as a single continuous take, longer is stitched from acts (on a
15s-clip model, 40s = 15+15+10), never time-compressed. What fits one clip is the model's own maximum, not a fixed
number: most video models cap a clip at 15 seconds and the longest-clip one takes **30 seconds in one unbroken
take** with native synchronized audio. `hermoso_capabilities` is the live list — durations, resolutions and the
exact credit cost of every tier — and naming that model in `model` is how you get it, since an unnamed render is
routed by a narrower auto-pool.

**Raw model playground** — the full catalog (30+ image / video / voice / writing models, each with its exact
per-render credit cost) with no ad framing: `generate_image` / `generate_video` with `useBrand:false`,
`generate_voice`, `generate_text`.

**Publish to your own channels** — **ten** of them: Facebook, Instagram and Threads (`post_to_meta`), TikTok
(`post_to_tiktok`), YouTube (`post_to_youtube` + `update_youtube_video`, `youtube_video_insights`, comments
read/reply), X (`post_to_x`, `x_post_metrics`, `x_post_insights`, `x_mentions`, `list_x_dms`, `send_x_dm`),
LinkedIn profile **and** company Pages (`post_to_linkedin`, `post_to_linkedin_page`), Pinterest
(`post_to_pinterest` + boards), Bluesky (`post_to_bluesky`, `delete_bluesky_post`, `bluesky_post_metrics`, plus
`list_bluesky_convos` / `read_bluesky_dm` / `send_bluesky_dm`) and Telegram (`post_to_telegram`,
`delete_telegram_message`, `list_telegram_chats`). `schedule_post` / `list_scheduled` / `cancel_scheduled` give
you one content calendar over exactly that set. `upload_file` brings in any external or local media, not just
Hermoso renders.
*X posting bills credits per API call (X charges per request); a post containing a link costs 13× one without.*
*Held back, and named rather than hidden:* **Google Business Profile** is built (`post_to_google_business`,
reviews, Q&A, insights) and is not offered — Google allowlists that API per project and ours reads 0 QPM, so
every call would 403 for every user. It is in `schedule_post`'s channel enum and refused at enqueue.

**Message customers on WhatsApp** — messaging, not an eleventh publishing channel: you message a person, and
nothing here posts to a feed. `list_whatsapp_accounts` finds the Business Account and its
numbers, `list_whatsapp_templates` / `create_whatsapp_template` / `delete_whatsapp_template` manage the templates
Meta reviews, and `send_whatsapp_message` sends one — confirm-gated, because it reaches a real phone and Meta
bills the business for the conversation. Two limits that are permanent facts about Meta's API rather than
anything pending: **Hermoso does not receive WhatsApp webhooks, so there is no message history to read** — it is
not an inbox surface and `list_inbox` does not cover it — and **outside the 24-hour window that opens when the
customer messages first, WhatsApp accepts an APPROVED template and nothing else.**

**Automate Instagram DMs** — `save_instagram_dm_automation` sets up a rule that answers people for the brand: a
comment with a keyword on one post, the next post or any post gets a private reply, and a DM, a story reply or an
ig.me link gets an answer, with optional link buttons, a public comment reply, a follow gate and a dry run.
`test_instagram_dm_automation` shows exactly what a sample comment or DM would send without sending it, and
`list_instagram_dm_automations` / `delete_instagram_dm_automation` read each rule's stats and send log or remove
it. Each person gets one reply per post, Meta allows a private reply within 7 days of the comment, and no AI runs
on the send path, so it costs no credits.

**Automate DMs on Facebook and X too** — `save_dm_automation` (with `test_dm_automation`, `list_dm_automations` and
`delete_dm_automation`) takes a `channel`: `instagram`, `facebook` (a keyword comment on a Page post or an ad gets a
private reply in Messenger; a Messenger keyword or an m.me link gets an answer) or `x` (a keyword @mention or a reply
under your post gets a public reply; a DM keyword gets a DM back). X only allows an automated DM after the person has
DMed you, and a DM saying STOP opts that person out. Facebook is free like Instagram. X bills us per call, so an X
automation is charged in credits for every mention, reply or DM X delivers plus each reply or DM sent, and running out
of credits stops its X rules.

**Run the ads** — full campaign trees, built paused and read back before anything is reported, with every spend
change confirm-gated, on **twelve** platforms: **Meta**, **Google Ads**, **LinkedIn Ads**, **Reddit Ads**,
**Pinterest Ads**, **Microsoft Advertising**, **ChatGPT Ads** (OpenAI's Advertiser API), **X Ads**, **TikTok Ads**,
**Snapchat Ads**, **Apple Ads** (Apple Search Ads on the App Store) and **AppLovin Ads** (reporting and the website
pixel on the keys every account has; campaign building once AppLovin enables Campaign Management API access on the
account, and server-side conversion events with the Conversion API key AppLovin issues on request). Each has list + report + create + budget/status tools
(e.g. `list_google_ads_campaigns`, `google_ads_report`, `create_google_ads_campaign`, `set_google_ads_budget`,
`set_google_ads_status`). *Snapchat needs one extra step the others do not: an ad points at a CREATIVE, and every
Snapchat creative must carry a Public Profile id — build it with `upload_snapchat_ads_creative`.*

**Feed the shopping surfaces** — **Google Merchant Center** is the catalog a retail Performance Max or Shopping
campaign advertises (`create_google_ads_performance_max_campaign` takes a `merchantCenterId`), and you manage it
from here: accounts and account status, data sources, product upsert / update / delete, per-region inventory,
quota, `merchant_report` for product-level performance, notifications and conversion sources, plus the disapproval
loop — `list_merchant_issues` says what is wrong and `merchant_issue_help` returns Google's own documented fix.
*Promotions need the merchant's own enrolment in Google's promotions program; without it Google refuses that
sub-API outright.* **Microsoft Merchant Center** is covered on the same shape (stores, catalogs, products, issues)
for Bing Shopping.

**Measure what the ads achieved** — Google Analytics 4 closes the loop. Every other connector here reports what an
ad *cost*; this is the one that reports what it *did*. `analytics_report` breaks sessions, users, conversions and
revenue down by channel, source/medium, campaign, landing page, country, device or date, so the campaign Hermoso
built and the revenue it drove sit in one conversation. `analytics_realtime` shows who is on the site right now.
Start at `list_analytics_properties` — the tools take a numeric property id, not the `G-XXXXXXXXX` Measurement ID
from your tracking snippet, and this is what resolves one from the other. It writes as well as reads:
`create_analytics_key_event` marks an event GA4 already collects as a key event — which is what makes it importable
into Google Ads as a conversion — and `create_analytics_custom_dimension` registers an event parameter so reports
can break down by it, with `list_analytics_definitions` showing what the property already measures. It signs in
with the same Google account as Google Ads, YouTube and Drive, but it is its own connection.
*GA4 only — the API has no Universal Analytics surface. A custom dimension can be archived but never deleted, and a
property holds 50 event-scoped ones.*

**Files** — Google Drive CRUD (`save_to_drive`, `list_drive_files`, `update_drive_file`, `delete_drive_file`,
`create_drive_folder`), Google Sheets (`create_sheet`, `append_to_sheet`, `read_sheet`), Google Docs
(`create_doc`, `append_to_doc`), and OneDrive (`save_to_onedrive` + full CRUD).

**Workspace & account** — profiles (`list_brands`, `create_brand`, `use_brand`, `update_brand`,
`delete_brand`; one account holds many profiles, each a brand, a client, a creator or a personal workspace, so an agency runs every client through here), memory
(`remember`, `forget`, `list_memory`), custom skills (`save_skill`, `get_skill`, `list_skills`,
`delete_skill` — the one library, which absorbed the old AI-Employee personas), team (`list_team`, `invite_member`, `remove_member`,
`set_role`), settings (`get_settings`, `update_settings` — including the **language** every ad, script and plan
is written in), connectors (`list_connectors`, `list_connector_accounts`, `set_connector_accounts`,
`disconnect_connector`), and billing (`hermoso_credits`, `billing_status`, `buy_credits`, `upgrade_plan`,
`set_auto_reload`), plus `list_jobs` / `get_job` for async renders.

**Connector accounts are picked, not guessed.** One person often administers several Facebook Pages, Google Ads
customers or LinkedIn company Pages. Only the accounts ticked for a profile are usable — enforced server-side, and
an empty selection shares nothing. Linking a *new* account is the one step that is not headless (it is an OAuth
consent screen, so the user does it in the app).

Render jobs queue server-side and poll to completion, returning a served URL.

## 2. CLI: the context-free path for terminal agents

`bin/hermoso.mjs` exposes the full MCP toolset as subprocess commands, so an agent can shell out instead of carrying a
fat tool manifest.

```bash
npm install -g hermoso                             # installs `hermoso`
hermoso capabilities                               # valid model ids + costs (run first)
hermoso create --brand "YourBrand" --product "your best-selling product" --format image
hermoso generate image --prompt "…" --ref ./product.png --wait
hermoso generate video --prompt "…" --duration 8 --wait
hermoso competitors yourbrand.com
hermoso research "Liquid Death’s longest-running ads"
```

Add `--json` to any command for machine output.

**Those shortcuts are the common path, not the limit.** Every tool the MCP server has is reachable here too,
including the ad-campaign and analytics groups a connector leaves out of its default roster:

```bash
hermoso tools                          # every tool, grouped, name + one line
hermoso tools --group ads --search reddit   # narrow it
hermoso tools create_meta_campaign     # that tool's full argument schema
hermoso call create_meta_campaign --json '{"name":"…"}'   # run it
hermoso create_meta_campaign --name "…"                   # same thing, shorter
```

`call` goes through the same handler, the same argument validation and the same confirm/spend gates the MCP
server uses, so there is no second implementation to drift. `tools` and `tools <name>` read a registry bundled in
the package, so they need no key, no network and no sign-in.

## 3. Skills: what a coding agent installs

`skills/` holds five installable skills:

| Skill | What it does |
| --- | --- |
| `hermoso-research` | Find competitors, pull their real running ads, surface the hooks worth copying |
| `hermoso-generate` | A prompt to a finished image, video, avatar clip or stitched cut |
| `hermoso-ad-from-brand` | A brand or domain to one finished, on-brand ad, concept and copy included |
| `hermoso-product-photoshoot` | A real product photo composited into studio, lifestyle or hero scenes |
| `hermoso-marketing` | The whole loop: research, create, publish and schedule, paid campaigns, measure |

They are what every one-command install at the top of this page adds, in Claude Code, Codex, Gemini CLI and
through `npx skills add`. From a clone, copying works too:

```bash
cp -r skills/* ~/.claude/skills/
```

Then invoke `/hermoso-ad-from-brand an ad for yourbrand.com, our hero product`.

### Ask for it in your own words

The skills pick themselves. These are whole prompts, not commands:

- *Find my top 5 competitors for [product + URL], pull their best Meta and TikTok ads from the last 90 days, and tell me the 3 hooks and 2 formats worth stealing, with the evidence.*
- *Make this week's ads for [brand]: two hooks in two formats, one UGC and one product visual, 9:16. Score them and policy check them before I ship.*
- *Here is a competitor ad: [link]. Break down why it works, then rebuild the structure with my product, my branding and a fresh hook.*
- *Fill my social queue for the next 7 days across Instagram, TikTok, X and LinkedIn, repurposed from my best post, with per-channel captions.*
- *Take last week's winner and build a $20/day test campaign on Meta and TikTok, three ad sets, one angle each. Leave it paused and read the tree back so I can check it.*
- *Pull last month's campaign performance across every platform. Which two creatives won, why, and what should next month's brief say?*

## Configuration

| Env | Meaning |
| --- | --- |
| `HERMOSO_API_BASE` | The Hermoso API origin (default `https://app.hermoso.ai` — set `http://localhost:3000` if you run the app yourself) |
| `HERMOSO_TOKEN` | Bearer agent key (`hmk_…`) — required against the hosted app |
| `HERMOSO_PROFILE` | Profile id, for accounts with multiple profiles |
| `HERMOSO_OWNER` | Only for a profile **another account shared with you** (a team workspace): the owning account id. Set it together with `HERMOSO_PROFILE`, and set `HERMOSO_PROFILE` to that workspace's **profileUuid** (a profile's short slug is refused). Run `list_brands` (or `hermoso list_brands` from the CLI) to print both values for every workspace you can enter. The server re-authorizes the pair on every request, so a wrong value is refused, never trusted. |

`mcp/http.mjs` is the hosted remote-connector transport (paste-a-URL into Claude.ai → Connectors). It ships in
this repo for transparency and refuses to mount without authenticated identity — no anonymous spend, ever.

## License

MIT © Hermoso

TDQS

A3.5/5.0

Scored across 185 tools

Disambiguation2/5

With 185 tools, many have overlapping purposes: multiple ad-creation tools (render_ad, generate_video, make_explainer, product_sizzle), multiple research tools (search_meta_ads, research_ads, pull_competitor_ads), and multiple image tools (generate_image, edit_image, clone_static). An agent faces high risk of misselection despite detailed individual descriptions.

Naming Consistency4/5

Most tools follow a predictable verb_noun pattern (list_*, get_*, create_*, post_to_*), but there are outliers like hermoso_capabilities, hermoso_credits, and inconsistent verb choices (find_* vs search_*). The overall snake_case is consistent, but the variety of verbs across 185 tools reduces predictability.

Tool Count1/5

185 tools is far beyond the typical 3-15 range and the stated 30-50 tool mark where tool choice degrades. The server's broad scope may justify many tools, but the count is an extreme mismatch for effective agent use.

Completeness5/5

The server covers a wide domain with complete lifecycles for brands, creators, posts, ads, billing, and connectors, including create/read/update/delete operations and specialized tools for many platforms. No obvious major gaps are apparent.

Maintenance

ActivityActive
ResponsivenessUnresponsive