用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
直接命令不会经过审查 Prompt;运行前请先检查来源。
npx skills add https://github.com/a5c-ai/babysitter --skill ddmrp-buffer-manager命令会保持在同一行。复制前请横向滚动并检查完整内容。
想先保存到本地?可下载 SkillsMP 当前能够提供的文件。
Reference for querying the Atlas knowledge graph through its MCP tools — the SECONDARY enrichment/comparison layer that adds best-practice context to systems you have ALREADY scanned from your real sources (`az`, repos, dirs). Use when you need to look up nodes, edges, kinds, clusters, stats, or wiki pages in Atlas to compare against your real inventory. (atlas graph, query atlas, atlas mcp, search the graph, graph neighbors, atlas record, atlas kinds, enrichment layer)
Atlas turns your STATED NEED into a real systems atlas by SCANNING your actual sources (Azure via `az`, git repos, local dirs) and process/data mining them, THEN enriching against the Atlas knowledge graph. Use this skill when asked to inventory/map your real systems, scan your cloud + repos + directories, mine the real processes or data they contain, or collect their real constraints/gotchas. (atlas, scan my systems, inventory our azure account, map my repos, real systems atlas, process mining, data mining, collect nuances, system discovery)
This skill should be used when the user asks to "find skills in the wild", "assimilate popular workflows", "discover SKILL.md files in repos", "research external skills", "find workflow patterns", "survey the skill landscape", "what skills exist out there", or wants to investigate public repositories for extractable processes, babysitter plugins, and reusable procedural insights. Searches GitHub for SKILL.md files, classifies repos by archetype, and maintains structured research under docs/reference-repos/.
正在显示 SKILL.md
基于 SOC 职业分类
| name | ddmrp-buffer-manager |
| description | Demand-Driven MRP buffer positioning and management skill with dynamic adjustment |
| allowed-tools | ["Read","Write","Glob","Grep","Bash"] |
| metadata | {"specialization":"supply-chain","domain":"business","category":"inventory","priority":"future"} |
| graph | {"domains":["domain:supply-chain"],"specializations":["specialization:supply-chain-optimization"],"skillAreas":["skill-area:procurement-management","skill-area:capacity-planning-ops","skill-area:quantitative-modeling"],"workflows":["workflow:vendor-onboarding","workflow:vendor-evaluation"],"roles":["role:supply-chain-analyst","role:procurement-manager","role:operations-analyst"]} |
The DDMRP Buffer Manager implements Demand-Driven Material Requirements Planning methodology for inventory management. It handles strategic buffer positioning, zone calculations, dynamic adjustments, and execution prioritization to create flow-based material planning.
ddmrp_request:
items: array
- sku_id: string
average_daily_usage: float
decoupled_lead_time: integer
minimum_order_quantity: integer
variability_factor: string # low, medium, high
lead_time_factor: string # short, medium, long
bom_structure: object
planned_adjustments: array # Promotions, seasonality
current_positions: array
calculation_scope: string # positioning, sizing, execution
ddmrp_output:
buffer_positions: array
- sku_id: string
is_decoupling_point: boolean
rationale: string
buffer_levels: array
- sku_id: string
buffer_profile: string
zones:
green: integer
yellow: integer
red: integer
red_safety: integer
total_buffer: integer
execution_priorities: array
- sku_id: string
net_flow_position: integer
net_flow_equation: string
priority_color: string
on_hand: integer
on_order: integer
qualified_demand: integer
buffer_health: object
Input: BOM structure, lead times, demand variability
Process: Identify strategic inventory positioning points
Output: Recommended decoupling points with rationale
Input: ADU, lead time factors, variability factors
Process: Calculate zone sizes using DDMRP formulas
Output: Green, yellow, red zone levels by buffer
Input: Current inventory, orders, qualified demand
Process: Calculate net flow position, assign priority color
Output: Prioritized replenishment recommendations