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Generate images using FAL.ai FLUX API. Requires FAL_KEY environment variable.
Install with Codex or Claude Copy this prompt, paste it into Codex, Claude, or another assistant, and let it review the skill page and install it for you.
Based on SOC occupation classification
Produce a labeled figure with PERFECT text — render a label-free image locally (or take an external image) then overlay leader lines and typeset labels programmatically from vision-derived anchor coordinates. Text is correct by construction; only pointer placement is reviewed.
Ask which image models fit a set of tasks — get evidence-based recommendations with per-image costs, which external services to pay for, and which local models to install (with disk/RAM/licence guidance). Reads the live model catalog and probes what is actually available on this machine.
Check mflux (MLX) availability, per-family runtime presence, cached weights, and report readiness status.
Top-level image orchestrator. Routes all slide image generation to the appropriate skill (jack-tar-ollama:image, jack-tar-ollama:icon, jack-tar-ollama:pattern, jack-tar-ollama:diagram, jack-tar-cloud:image, jack-tar-cloud:icon, render_chart). Produces ImageManifest and ChartManifest. Also reads strategy-map.json to determine per-slide rendering approach (full_render, backdrop_render, composed).
Meta-verify — discover all jack-tar engine plugins, call each verify, report aggregate pipeline capability and discipline-hook readiness.
Generate an image locally on Apple Silicon via the mflux CLI (MLX). Flag-compatible with jack-tar-ollama's /image — a $0 local tier, no API keys needed.
| name | fal-image |
| description | Generate images using FAL.ai FLUX API. Requires FAL_KEY environment variable. |
Generate an image via FAL.ai FLUX API.
PLUGIN_ROOT=$(python3 -c "
from pathlib import Path
import sys, os
if os.environ.get('JACK_TAR_CLOUD_ROOT'):
print(os.environ['JACK_TAR_CLOUD_ROOT']); sys.exit()
home = Path.home()
for base in [home / '.claude' / 'plugins' / 'cache']:
for p in base.rglob('jack-tar-cloud/.claude-plugin/plugin.json'):
print(str(p.parent.parent)); sys.exit()
dev = Path.cwd() / 'plugins' / 'jack-tar-cloud'
if dev.exists():
print(str(dev)); sys.exit()
print('NOT_FOUND')
" 2>/dev/null)
if [ -z "$PLUGIN_ROOT" ] || [ "$PLUGIN_ROOT" = "NOT_FOUND" ]; then echo "ERROR: jack-tar-cloud not found" && exit 1; fi
Parse $ARGUMENTS for:
output/fal-YYYYMMDD-HHMMSS.png)1920x1080 or 2048x2048). Translated to FAL image_size={"width":W, "height":H}. If both --size and --resolution are passed, --size wins and a warning is logged. If omitted, --resolution selects a sensible preset.fal-ai/flux-2-pro). Other options: fal-ai/flux-2-klein, fal-ai/ideogram/v3.1K, 2K). Default: 1K. FLUX 2 Pro supports both; Klein and Ideogram support 1K only. Unsupported model/resolution combinations raise ProviderResolutionUnsupportedError; the exception message lists supported tiers.PYTHONPATH="$PLUGIN_ROOT" python3 -c "
import os
configured = bool(os.environ.get('FAL_KEY'))
print('available' if configured else 'not_configured')
"
If not_configured, tell the user to set FAL_KEY and stop.
PYTHONPATH="$PLUGIN_ROOT" python3 -c "
import json
from src.generate_cloud_image import generate_cloud_image
kwargs = dict(
prompt='$PROMPT',
provider='fal',
output_path='$OUTPUT_PATH',
model='$MODEL',
resolution='$RESOLUTION',
)
# --size 1920x1080 translates to image_size dict (FAL's native parameter form).
size = '$SIZE'
if size and 'x' in size:
w, h = size.split('x')
kwargs['image_size'] = {'width': int(w), 'height': int(h)}
result = generate_cloud_image(**kwargs)
print(json.dumps(result, indent=2))
"
If successful, report the file path and cost. If failed, report the error.
| Model | 1K (1MP) | 2K (~4.2MP) | Notes |
|---|---|---|---|
| fal-ai/flux-2-pro | $0.030 | $0.078 | tiered: $0.030 first MP + $0.015/extra MP (2048² is ~4.19 MP) |
| fal-ai/flux-2-klein | $0.014 | n/a | flat |
| fal-ai/ideogram/v3 | $0.060 | n/a | flat |