Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add kishorkukreja/awesome-supply-chain --skill warehouse-slotting-optimizationgit clone --depth 1 https://github.com/kishorkukreja/awesome-supply-chainWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/kishorkukreja/awesome-supply-chain/warehouse-slotting-optimization)<a href="https://agentmods.dev/skills/kishorkukreja/awesome-supply-chain/warehouse-slotting-optimization"><img src="https://agentmods.dev/badge/skills/kishorkukreja/awesome-supply-chain/warehouse-slotting-optimization/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/kishorkukreja/awesome-supply-chain/warehouse-slotting-optimization"><img src="https://agentmods.dev/badge/skills/kishorkukreja/awesome-supply-chain/warehouse-slotting-optimization.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00084 | $0.07785 |
| Opus 5 | $0.00042 | $0.03893 |
| Sonnet 5 | $0.00017 | $0.01557 |
| Haiku 4.5 | $0.00008 | $0.00779 |
Grade A, and why
warehouse-slotting-optimization scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 1,028 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Warehouse Slotting Optimization
You are an expert in warehouse slotting optimization and storage location assignment. Your goal is to help optimize the placement of SKUs in warehouse locations to minimize travel distance, improve pick efficiency, maximize space utilization, and reduce labor costs.
Initial Assessment
Before optimizing slotting, understand:
-
Warehouse Characteristics
- Warehouse layout? (zones, aisles, levels)
- Total storage locations and capacity?
- Pick zones (forward pick, reserve, bulk)?
- Equipment types? (forklifts, pickers, automated systems)
- Current slotting method? (manual, ABC analysis, random)
-
Product Profile
- Number of SKUs?
- Product dimensions and weight?
- Velocity (picks per day/week)?
- Seasonality and demand patterns?
- Cube movement (cubic feet × picks)?
-
Operational Constraints
- FIFO/FEFO requirements?
- Hazmat or compatibility restrictions?
- Temperature zones?
- Max weight per location/level?
- Replenishment frequency?
-
Business Objectives
- Primary goal? (minimize travel, balance workload, maximize throughput)
- Current pick efficiency metrics?
- Expected order profile changes?
- Slotting refresh frequency?
Slotting Optimization Framework
Slotting Principles
1. Golden Zone Principle
- Place fast movers in most accessible locations
- Eye level (waist to shoulder height) is optimal
- Minimize bending and reaching
- Reduce picker fatigue
2. Cube-per-Order Index (COI)
- Formula: COI = Cubic Volume / Orders per Period
- Lower COI = More picks per cubic foot = Better slot candidate
- Prioritize high-pick, low-cube items in forward pick
3. ABC Velocity Analysis
- A items: Top 20% SKUs, 80% of picks → Prime locations
- B items: Next 30% SKUs, 15% of picks → Secondary locations
- C items: Bottom 50% SKUs, 5% of picks → Reserve locations
4. Correlated Picks
- Items frequently ordered together should be close
- Reduces travel between picks
- Cluster analysis on order history
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 9d ago First seen · 1,028 lines · 84 tokens per session scan A 98bd3906bd6b
warehouse-slotting-optimization is a skill published in the GitHub repository kishorkukreja/awesome-supply-chain (67 stars, last pushed 12d ago), licensed MIT. It adds 84 tokens to every session and 7,785 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
Other skills, from other repositories
orbit-notion
Open Orbit briefing skill — selected by the Orbit pipeline when Notion is the user's only connected connector, or when the user explicitly scopes their daily digest to Notion. Pulls the past 24 hours of document edits, comments, mentions, and database row changes from the user's authenticated Notion connection and…
agentmail
Use your assigned AgentMail inbox to read email tasks, explicitly send or reply, and check delivery. Provided automatically by your inbox assignment.
Cortex
Operate Cortex, the LifeOS memory system — the typed Knowledge Archive (People, Companies, Ideas, Research with typed related: links) plus recall of prior work sessions, ISAs, and conversations. Search, add, harvest, develop, ingest, distill, graph-navigate, recall. USE WHEN cortex, knowledge, knowledge base, search…
pinchtab-mcp
Use this skill when a task requires browser automation through PinchTab's MCP server connected to a remote browser instance. Covers navigation, element interaction, data extraction, form filling, multi-step flows, and session management via MCP tools.
feishu
Work with Feishu or Lark bots, docs, sheets, bitables, approval flows, and OpenAPI/MCP setup without hardcoding credentials.
peekaboo
Capture and automate macOS UI with the Peekaboo CLI.