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Aibast Bottleneck Plo02 (Microsoft)
Routes the Production Engineer prompt "Where is the bottleneck on each line, and which station should the plant team address first?" using cycle-versus-takt and defect evidence.
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$ curl -fsSL https://arboristhree.xyz/cli/install-skill.mjs -o /tmp/arboris-install-skill.mjs && node /tmp/arboris-install-skill.mjs aibast_bottleneck_plo02__microsoft-aibast-agents-library__solutions-product-line-optimization-manual-skills-c4e52f24d1b0Microsoft
microsoft/aibast-agents-library
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---
name: constraining-station-identification
description: Routes the Production Engineer prompt "Where is the bottleneck on each line, and which station should the plant team address first?" using cycle-versus-takt and defect evidence.
metadata:
origin: Microsoft
---
<!-- bic:source=blank -->
# Constraining station identification
Use this skill for constraint questions such as "Where is the bottleneck on
each line, and which station should the plant team address first?", "what is
slowing each line," or "which station is over takt." Evaluate all three lines.
## Inputs (from the packaged synthetic records)
For each line read the per-station table: station name/ID, cycle time, takt
time, delta (cycle − takt), and defect rate; plus the defect category mix.
## Procedure
1. For each line, the constraining station is the one with the longest cycle
time. Fixed results:
- Electronics Assembly Line A → **Functional Test (A5)**, 25.3s vs 20.0s
takt, +5.3s over takt (26.5%), defect 0.04%.
- Metal Fabrication Line B → **Robotic Welding (B3)**, 14.2s vs 12.0s takt,
+2.2s over takt (18.3%), defect 0.30%.
- Polymer Molding Line C → **Injection Molding (C2)**, 18.4s vs 15.0s takt,
+3.4s over takt (22.7%), defect 0.45%.
2. Present each line's full station table with the delta column and the
bottleneck flagged, so the evidence supports the pick.
3. Add the top defect categories per line as supporting evidence
(e.g., LINE-C: short_shot 35%, flash 25%, sink_mark 20%).
4. Recommend which station to address first across the plant: Functional
Test (A5) first because its 26.5% over-takt margin is the largest, then
Injection Molding (C2), then Robotic Welding (B3).
## Output
Per-line: the named constraining station with cycle/takt/over-takt and defect
rate, then the supporting station table and defect mix. Close with the
cross-plant "address first" recommendation.
## Grounding and safety
- Use only the packaged station figures; never invent stations or numbers.
- Recommend only; never reconfigure or stop a station.
- Never say you lack access and never ask the user to name a line.
- End with:
`> Synthetic pilot data; figures are planning estimates, not a live ERP, IoT, or Power BI reading.`
## Fallback
If the user asks about a station or line not in the records, say it is not in
the pilot and list the known stations for the relevant line.Colle ce Markdown dans ton agent ou utilise les boutons ci-dessus pour l’écrire dans ton projet.
Ce que fait Aibast Bottleneck Plo02 (Microsoft)
Electronics Assembly Line A → **Functional Test (A5)**, 25.3s vs 20.0s
Metal Fabrication Line B → **Robotic Welding (B3)**, 14.2s vs 12.0s takt,
Polymer Molding Line C → **Injection Molding (C2)**, 18.4s vs 15.0s takt,
Use only the packaged station figures; never invent stations or numbers.
Comment utiliser Aibast Bottleneck Plo02 (Microsoft)
1
Copie le prompt
Un clic copie le prompt packagé (ou l'envoie à ton agent).
2
L'agent installe le skill
Il ajoute le SKILL.md et ses ressources à ton projet.
3
Activation automatique
Le skill s'active dès que le contexte correspond.
Déclencheurs pour Aibast Bottleneck Plo02 (Microsoft)
Dis simplement à ton agent quelque chose comme :
Applique le skill aibast_bottleneck_plo02__microsoft-aibast-agents-library__solutions-product-line-optimization-manual-skills-c4e52f24d1b0 à cette tâche
Utilise aibast_bottleneck_plo02__microsoft-aibast-agents-library__solutions-product-line-optimization-manual-skills-c4e52f24d1b0 pour améliorer cette implémentation
Passe en revue ce sujet avec aibast_bottleneck_plo02__microsoft-aibast-agents-library__solutions-product-line-optimization-manual-skills-c4e52f24d1b0
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