FLORA MCP Skills — start here
FLORA's MCP server (https://agents.flora.ai/mcp) gives an agent raw capability: generate images, video, audio, and text; run saved multi-step techniques; read and write a FLORA canvas. These skills are the judgment layer — which model, what the gotchas are, what a good result looks like, what to do when one comes back wrong. Every number in them is measured against production, not estimated.
Route by what the user has
| User has… |
Wants… |
Load |
| A list (products, SKUs, variants, scenes) |
One asset per row, one consistent style |
flora-batch-generate ★ |
| A wrong first result |
It driven to a specific goal, not re-rolled blind |
flora-refine-loop ★ |
| A script or narrative |
Animated clips with a consistent character |
flora-script-to-video |
| Generated clips or stills |
Cut together into a sequence with motion |
flora-motion-compositor |
| An existing image |
A saved workflow applied (relight, upscale, background swap, sketch-to-render) |
flora-run-technique |
| A finished image |
New aspect ratios or sizes without regenerating |
flora-image-resize |
| A finished video |
New aspect ratios without regenerating |
flora-video-resize |
| A finished ad creative |
Out-of-home placements, social resizes, annotated PDF |
flora-mockup-deck |
| A product photo (+ optional model frame) |
Studio plates, on-model views, PDP deck |
flora-pdp-deck |
| A product launch |
Generate → archive → host → paused Meta ads |
flora-brand-ad-pipeline |
| A set of generated assets |
Checked against brand rules before shipping |
flora-brand-consistency-audit |
| A theme, season, or category |
A visual research board of directions |
flora-trend-board |
| An existing project or canvas |
Revise what's there rather than start over |
flora-canvas-iterate |
★ = flagship, most heavily tested.
Two laws that apply everywhere
- N items is one wait, not N waits. FLORA runs generations concurrently; serialisation is on the agent's side. Six items fired together: 15.8 s. The same six sequentially: ~150 s. Identical credits.
- A re-run with an unchanged prompt is not a refinement. Name the defect, change the prompt, or stop.
How to call FLORA
- Named tools (generation creation,
flora_run_technique, flora_list_models, …) — use for single actions and batches. Issue independent calls concurrently, save every returned run id, and poll in later calls.
execute is deprecated. Use only for an SDK operation without a dedicated tool. Batching is not a reason to use it. Limits: ~5 min per call, 30 s per HTTP request, no state between calls.
Not present and easy to reach for: models.retrieve (use models.list().find()) and runs.action (use the flora_run_action tool).
What this skill does not do
It does not generate anything. Once routed, load the specific skill and follow it — that file holds the model choices, cost numbers, and failure modes this one deliberately omits.
1---2name: flora-start-here3description: Entry point for FLORA's MCP server. Use this skill when (1) an agent has the FLORA MCP connected and needs to decide which flora-* skill applies to a request, (2) the request involves generating images, video, or audio, running a saved FLORA technique, or reading and writing a FLORA canvas, (3) the user has a list of products, SKUs, or variants and wants consistent assets, or (4) a first FLORA result came back wrong and needs to be driven to a goal. Routes to the specialised flora-* skills; does not generate on its own.4---56# FLORA MCP Skills — start here78FLORA's MCP server (`https://agents.flora.ai/mcp`) gives an agent raw capability: generate images, video, audio, and text; run saved multi-step techniques; read and write a FLORA canvas. These skills are the judgment layer — which model, what the gotchas are, what a good result looks like, what to do when one comes back wrong. Every number in them is measured against production, not estimated.910## Route by what the user has1112| User has… | Wants… | Load |13|---|---|---|14| A list (products, SKUs, variants, scenes) | One asset per row, one consistent style | `flora-batch-generate` ★ |15| A wrong first result | It driven to a specific goal, not re-rolled blind | `flora-refine-loop` ★ |16| A script or narrative | Animated clips with a consistent character | `flora-script-to-video` |17| Generated clips or stills | Cut together into a sequence with motion | `flora-motion-compositor` |18| An existing image | A saved workflow applied (relight, upscale, background swap, sketch-to-render) | `flora-run-technique` |19| A finished image | New aspect ratios or sizes without regenerating | `flora-image-resize` |20| A finished video | New aspect ratios without regenerating | `flora-video-resize` |21| A finished ad creative | Out-of-home placements, social resizes, annotated PDF | `flora-mockup-deck` |22| A product photo (+ optional model frame) | Studio plates, on-model views, PDP deck | `flora-pdp-deck` |23| A product launch | Generate → archive → host → paused Meta ads | `flora-brand-ad-pipeline` |24| A set of generated assets | Checked against brand rules before shipping | `flora-brand-consistency-audit` |25| A theme, season, or category | A visual research board of directions | `flora-trend-board` |26| An existing project or canvas | Revise what's there rather than start over | `flora-canvas-iterate` |2728★ = flagship, most heavily tested.2930## Two laws that apply everywhere31321. **N items is one wait, not N waits.** FLORA runs generations concurrently; serialisation is on the agent's side. Six items fired together: 15.8 s. The same six sequentially: ~150 s. Identical credits.332. **A re-run with an unchanged prompt is not a refinement.** Name the defect, change the prompt, or stop.3435## How to call FLORA3637- **Named tools** (generation creation, `flora_run_technique`, `flora_list_models`, …) — use for single actions and batches. Issue independent calls concurrently, save every returned run id, and poll in later calls.38- **`execute` is deprecated.** Use only for an SDK operation without a dedicated tool. Batching is not a reason to use it. Limits: ~5 min per call, 30 s per HTTP request, no state between calls.3940Not present and easy to reach for: `models.retrieve` (use `models.list().find()`) and `runs.action` (use the `flora_run_action` tool).4142## What this skill does not do4344It does not generate anything. Once routed, load the specific skill and follow it — that file holds the model choices, cost numbers, and failure modes this one deliberately omits.
florafauna-ai