flora-mcp-skills: Skill for Claude Code

.agents/skills/flora-mockup-deck/SKILL.md

flora-mockup-deck is a skill for Claude Code from florafauna-ai/flora-mcp-skills. It costs 211 tokens per session (13,347 once invoked), scanned A, original, MIT.

A command that places finished artwork into four realistic outdoor-advertising mockups, such as transit or building placements. It can also create one master artwork from a written description before making the mockups.

In plain words
What is it for?
Use it to create a four-placement campaign deck from a poster, billboard, key visual, or written creative idea.
Why use it?
It shows how one campaign design would look in different real-world advertising locations while keeping the supplied artwork unchanged.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: positional $N argument; installed under .agents/ (shared by several agents).

This is florafauna-ai/flora-mcp-skills's own configuration. It tells Claude Code how to work on flora-mcp-skills itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything flora-mcp-skills configures →

Part of the flora-mcp-skills plugin — 15 skills shipped together

Reuse

Borrowing it

Nothing to install: this file belongs to florafauna-ai/flora-mcp-skills. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/florafauna-ai/flora-mcp-skills/main/.agents/skills/flora-mockup-deck/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/florafauna-ai/flora-mcp-skills

Made for: Claude Code.

Or install flora-mcp-skills, the plugin that ships this one along with the rest of its 15 skills.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for flora-mockup-deck

README.md
[![agentmods](https://agentmods.dev/badge/skills/florafauna-ai/flora-mcp-skills/flora-mockup-deck/github.svg)](https://agentmods.dev/skills/florafauna-ai/flora-mcp-skills/flora-mockup-deck)
Your own site
<a href="https://agentmods.dev/skills/florafauna-ai/flora-mcp-skills/flora-mockup-deck"><img src="https://agentmods.dev/badge/skills/florafauna-ai/flora-mcp-skills/flora-mockup-deck/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for flora-mockup-deck

Your own site · 80×15
<a href="https://agentmods.dev/skills/florafauna-ai/flora-mcp-skills/flora-mockup-deck"><img src="https://agentmods.dev/badge/skills/florafauna-ai/flora-mcp-skills/flora-mockup-deck.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 211 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 13,347 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00211 $0.13347
Opus 5 $0.00105 $0.06674
Sonnet 5 $0.00042 $0.02669
Haiku 4.5 $0.00021 $0.01335

Measured 8d ago against content hash ea3a22ebad1a, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

flora-mockup-deck scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 8d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

builds on its own with no curl step. Pass --remote to reference the urls instead: the html
.agents/skills/flora-mockup-deck/SKILL.md · 1,109 lines

How it starts

The opening of the file, as written. The whole thing — 1,109 lines — stays where its author put it; the contents beside it link to each section on GitHub.

flora-mockup-deck

Attribution. Pass skill: "flora-mockup-deck" on every FLORA call you make while running this skill — execute included — along with a skill_run_id you invent once when the run starts and reuse for the rest of it. Both are reporting only: they change nothing about the call or its result.

What it is

Not an image generator. A placement engine. By the time the placements fire, the creative is finished and frozen — the only job is putting it into the world convincingly, four ways, without altering it.

Usually the creative arrives finished. It can also be written: a line of text buys one generation, and that output becomes the master creative, from which point it is handled exactly like a supplied file. See "Two ways in".

The thing that makes a mockup fail is never the photograph. It is the artwork drifting: recoloured, recropped, re-lettered, a word dropped. So the whole skill is built around one invariant.

Two ways in

ARTWORK   a url or an attached file      -> 4 generations
WRITTEN   a line of text, no artwork     -> 5 generations (master + 4 placements)

/flora-mockup-deck followed by a description and nothing attached is the WRITTEN path: create a campaign deck of a flower, a poster for a late-night ramen bar, out-of-home for a running shoe launch. Nothing else about the skill changes. The text buys exactly one image, that image becomes the master creative, and the law closes over it.

Making the master

One flora_generate, text-to-image, same model family as the placements:

model   "t2i-gpt-image-2-t2i"
params  { aspect_ratio, resolution: "4k", quality: "high" }

Prompt it as a printed poster, not as a photograph of a thing. The text names a subject, and a subject is not an ad — "a flower" un-elaborated returns a stock botanical photograph, which then gets pasted onto a gable end and reads as a picture of a flower on a wall rather than as a campaign. Build the master prompt as:

Read the full file on GitHub · 1,109 lines

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 8d ago Changed · +319 lines ea3a22ebad1a
  2. 12d ago First seen · 790 lines · 211 tokens per session scan A 613e061f3a37

Subscribe to this mod's changes

flora-mockup-deck is a skill published in the GitHub repository florafauna-ai/flora-mcp-skills (8 stars, last pushed today), licensed MIT. It adds 211 tokens to every session and 13,347 once invoked, about $0.0011 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

Related

Other skills, from other repositories

systematic-debugging

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.

obra/superpowers · 21 tokens

local-ai-agents

Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…

microsoft/ai-agents-for-beginners · 200 tokens

next-cache-components-adoption

Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…

vercel/next.js · 95 tokens

chat-pet-sprite-creation

Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.

microsoft/vscode · 53 tokens

cpu-profile-analysis

Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…

microsoft/vscode · 71 tokens

insight-error-page

Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…

vercel/next.js · 83 tokens