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Post-process an assembled deck — graft SmartArt from carrier files into the host .pptx. Reads smartart-spec.json from the deck directory to find carrier files and target slides.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
SOC 직업 분류 기준
| name | inject |
| description | Post-process an assembled deck — graft SmartArt from carrier files into the host .pptx. Reads smartart-spec.json from the deck directory to find carrier files and target slides. |
| argument-hint | --deck-dir PATH |
| allowed-tools | Bash(python *) |
Graft editable SmartArt diagrams into an assembled PowerPoint deck. This skill runs AFTER the deck assembler has produced a .pptx. It reads the SmartArtSpec to find which slides need SmartArt injected and performs the OOXML surgery.
PLUGIN_ROOT=$(python3 -c "
from pathlib import Path
import sys, os
if os.environ.get('JACK_TAR_MSFT_SMARTART_ROOT'):
print(os.environ['JACK_TAR_MSFT_SMARTART_ROOT']); sys.exit()
home = Path.home()
for base in [home / '.claude' / 'plugins' / 'cache']:
for p in base.rglob('jack-tar-msft-smartart/.claude-plugin/plugin.json'):
print(str(p.parent.parent)); sys.exit()
dev = Path.cwd() / 'plugins' / 'jack-tar-msft-smartart'
if dev.exists():
print(str(dev)); sys.exit()
print('NOT_FOUND')
" 2>/dev/null)
if [ -z "$PLUGIN_ROOT" ] || [ "$PLUGIN_ROOT" = "NOT_FOUND" ]; then echo "ERROR: jack-tar-msft-smartart not found" && exit 1; fi
./tmp/deck/)PYTHONPATH="$PLUGIN_ROOT" python3 -c "
import json
from src.pipeline import run_injection_step, format_delivery_message
deck_dir = '$DECK_DIR'
result = run_injection_step(deck_dir)
print(json.dumps(result, indent=2))
"
If the result shows injected > 0 slides, report success. If skipped > 0, explain which slides were skipped and why.
PYTHONPATH="$PLUGIN_ROOT" python3 -c "
from src.pipeline import format_delivery_message
msg = format_delivery_message('$DECK_DIR')
print(msg)
"
Display the speaker-facing delivery message.
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.