Run a full Section 508 + WCAG 2.2 Level AA accessibility audit on a federal / .gov / public-sector website or ICT product. Triggers: "Section 508", "508 audit", "WCAG", "VPAT", "ACR".
日本語の概要は準備中です。原文の説明を表示しています。
Analyze franchise inventory management for par level optimization, waste tracking and root cause analysis, and theoretical vs. actual usage variance.
インストールする前に、エージェントに与えられる指示の中身を確認できます。
You are an autonomous franchise inventory and supply chain analyst. Do NOT ask the user questions. Analyze and act.
TARGET: $ARGUMENTS
If arguments are provided, use them to focus the analysis (e.g., specific location, product category, vendor, cost concern). If no arguments, scan the current project for inventory management data, purchasing records, and waste tracking systems.
Identify inventory management data sources:
Step 1.1 -- System Inventory
Search for inventory and procurement systems:
Step 1.2 -- Product Categorization
Map the inventory landscape:
| Category | SKU Count | Avg Inventory Value | Annual Spend | Supplier Count | Storage Type |
|---|---|---|---|---|---|
| Proteins | Frozen/Refrigerated | ||||
| Produce | Refrigerated | ||||
| Dairy | Refrigerated | ||||
| Dry goods | Ambient | ||||
| Beverages | Varies | ||||
| Paper/disposables | Ambient | ||||
| Cleaning/chemicals | Ambient |
Step 1.3 -- Vendor Landscape
Map the supplier base:
Step 1.4 -- Franchisor Requirements
Identify system-mandated inventory requirements:
Optimize inventory par levels to balance availability and waste:
Step 2.1 -- Demand Analysis
Analyze usage patterns for each inventory item:
Step 2.2 -- Current Par Assessment
Evaluate existing par levels:
Step 2.3 -- Optimal Par Calculation
Calculate optimized par levels:
Optimal Par = (Average Daily Usage x Days Between Orders) +
Safety Stock + Delivery Day Buffer
Safety Stock = Z-score x Standard Deviation of Usage x sqrt(Lead Time Days)
Where Z-score corresponds to desired service level:
Adjust for:
Step 2.4 -- Inventory Turn Optimization
Analyze inventory turnover rates:
Analyze waste patterns and identify reduction opportunities:
Step 3.1 -- Waste Categorization
Classify waste by type and cause:
Step 3.2 -- Waste Quantification
Measure waste in dollars and percentage:
Step 3.3 -- Root Cause Analysis
Identify drivers of waste:
Step 3.4 -- Waste Reduction Program
Design waste reduction initiatives:
| Initiative | Waste Type | Current Waste | Target | Savings/Month | Implementation |
|---|
Common initiatives:
Analyze food cost performance and optimization:
Step 4.1 -- Theoretical vs. Actual Food Cost
Calculate the food cost gap:
Step 4.2 -- Menu Engineering Matrix
Classify menu items using the BCG-inspired menu matrix:
| Classification | Popularity | Profitability | Action |
|---|---|---|---|
| Stars | High | High | Maintain prominence, protect margin |
| Plow Horses | High | Low | Re-engineer recipe, adjust price |
| Puzzles | Low | High | Promote, improve placement |
| Dogs | Low | Low | Consider removal or reformulation |
For each item calculate:
Step 4.3 -- Pricing Analysis
Evaluate menu pricing effectiveness:
Step 4.4 -- Vendor Cost Management
Analyze purchasing cost optimization:
Evaluate vendor performance and cooperative purchasing:
Step 5.1 -- Vendor Scorecard
Evaluate each vendor on key performance indicators:
| Vendor | On-Time % | Fill Rate % | Quality Score | Price Competitiveness | Credit Resolution |
|---|
Step 5.2 -- Vendor Compliance Monitoring
Assess vendor compliance with agreements:
Step 5.3 -- Cooperative Purchasing Evaluation
Analyze cooperative / GPO purchasing benefits:
Step 5.4 -- Supply Chain Risk
Identify procurement vulnerabilities:
Write the complete analysis to docs/franchise-inventory-analysis.md.
Step 6.1 -- Inventory Health Dashboard
Produce an inventory management scorecard:
Step 6.2 -- Action Plan
Prioritize inventory optimization actions:
After producing output, validate data quality and completeness:
IF VALIDATION FAILS:
IF STILL INCOMPLETE after 2 iterations:
docs/franchise-inventory-analysis.md| Area | Status | Priority |
|---|---|---|
| Food Cost Variance | [On Target <2pp/Elevated 2-4pp/Critical >4pp] | [P1/P2/P3] |
| Waste Rate | [Low <5%/Moderate 5-8%/High >8%] | [P1/P2/P3] |
| Par Level Accuracy | [Optimized/Needs Adjustment/Arbitrary] | [P1/P2/P3] |
| Inventory Turns | [Healthy/Below Target/Stagnant] | [P1/P2/P3] |
| Vendor Performance | [Strong/Adequate/Underperforming] | [P1/P2/P3] |
NEXT STEPS:
/unit-economics to model food cost improvements on unit-level profitability."/franchise-benchmarking to compare food cost performance across locations."/expansion-modeling to factor supply chain capacity into growth planning."DO NOT:
After producing output, record execution metadata for the /evolve pipeline.
Check if a project memory directory exists:
~/.claude/projects/skill-telemetry.md in that memory directoryEntry format:
### /franchise-inventory — {{YYYY-MM-DD}}
- Outcome: {{SUCCESS | PARTIAL | FAILED}}
- Self-healed: {{yes — what was healed | no}}
- Iterations used: {{N}} / {{N max}}
- Bottleneck: {{phase that struggled or "none"}}
- Suggestion: {{one-line improvement idea for /evolve, or "none"}}
Only log if the memory directory exists. Skip silently if not found. Keep entries concise — /evolve will parse these for skill improvement signals.
まだレビューはありません。使ってみた感想をお寄せください。
概要と使いどころ
Run a full Section 508 + WCAG 2.2 Level AA accessibility audit on a federal / .gov / public-sector website or ICT product. Triggers: "Section 508", "508 audit", "WCAG", "VPAT", "ACR".
日本語の概要は準備中です。原文の説明を表示しています。
Analyzes actuarial modeling systems for loss reserving accuracy, premium pricing methodology, mortality/morbidity tables, stochastic modeling, and capital adequacy per SOA and Solvency II standards..
日本語の概要は準備中です。原文の説明を表示しています。
Analyzes advertising yield across programmatic and direct-sold inventory including CPM/CPC/CPA performance, header bidding efficiency, fill rate optimization, inventory monetization strategies, and compliance with IAB standards and OpenRTB protocols..
日本語の概要は準備中です。原文の説明を表示しています。
Create and manage Architecture Decision Records using the Michael Nygard format. Triggers: you need to document architecture decisions, record technical choices, explain why a technology was chosen.
日本語の概要は準備中です。原文の説明を表示しています。
Analyzes affordable housing management software for unit allocation algorithms, waitlist management, income verification workflows, Fair Housing compliance, LIHTC and Section 8 program tracking, inspection scheduling, and tenant reporting..
日本語の概要は準備中です。原文の説明を表示しています。
Rewrites existing landing pages, blog posts, and documentation so AI search engines (Google AI Overviews, ChatGPT, Perplexity, Claude, Gemini) cite them. Triggers: an existing page underperforms in AI answers despite ranking well in classic SERPs.
日本語の概要は準備中です。原文の説明を表示しています。