AM516/capabilities/am516-delivery-prediction/skills/joint-module-model-recommendation/SKILL.md

name, description

name	description
joint-module-model-recommendation	Parse one eRob robot joint module model and generate internal similar-model candidates from the packaged v3.1 recommendation rule source. This skill does not query inventory, ERP, production, purchasing, lead-time, or customer commitment data.

Joint Module Model Recommendation

Purpose

Generate internal similar-model candidates for one eRob joint module model.

Rule Source

Use the packaged local rule file:

capabilities/am516-delivery-prediction/rules/eRob关节模组相似型号推荐规则_v3.1.md

If the rule file is missing, stop.

Boundary

• Output is internal candidate only.
• Do not query API, ERP, inventory, purchasing, production, or lead-time data.
• Do not write "can directly replace", "committed", or "can deliver".
• The original model is the baseline.
• Candidates require customer confirmation and AR516 or authorized human review.

Input

Accept one model only.

Example:

eRob90H100I-FHM-18CT[V6]

Core Constraints

Strong constraints must stay unchanged:

• outer diameter;
• gear ratio;
• installation;
• communication;
• output shaft.

Allowed upgrades:

• brake F -> B;
• encoder upgrade only, never downgrade;
• sensor N -> T;
• standard grease to low-temperature grease;
• DZ and LF brand may be candidates.

Full Candidate Generation

• Keep outer diameter, structure, gear ratio, installation, communication, output shaft, and version unchanged.
• Generate the full Cartesian set across every allowed value for brake, encoder, sensor, grease, and DZ/LF brand.
• Encoder options are directional: S -> M/HS/HM, M -> HS/HM, HS -> HM, and HM has no further automatic upgrade.
• Include the original model separately as the baseline and deduplicate all generated models.
• Never generate a brake, encoder, sensor, or grease downgrade.
• Query every generated candidate through the controlled delivery-prediction script.
• Show candidates with usable lead-time summaries in full; summarize missing or unsupported models under 不可用候选.

Output

Use a vertical list with:

• model;
• candidate type;
• difference;
• recommendation reason;
• customer confirmation item;
• human review item.

Format the difference field as 字段 原值→新值. Join multiple changes with the Chinese semicolon ；, for example:

差异项：编码器 HS→HM；品牌 DZ→LF