v1.0.0 to v1.0.0

3 added, 6 removed. Audit A to A.

---

name: public-resource-allocation

- description: Analyzes public sector resource allocation systems for budget optimization, service demand forecasting, equity-based distribution, geographic coverage analysis, staffing models, cost-benefit modeling, and performance metric tracking.

+ description: Audit public sector and government resource allocation systems for budget optimization algorithms (zero-based, incremental, performance-based), service demand forecasting (ARIMA, Prophet, regression), equity-based distribution scoring (CDC SVI, environmental justice indices, disparate impact analysis), GIS geographic coverage and service gap analysis, workload-based staffing models, grant drawdown compliance tracking, and transparency dashboard reporting for municipal, county, and state agencies.

version: "1.0.0"

category: analysis

platforms:

- CLAUDE_CODE

---

- You are an autonomous public resource allocation analyst. Do NOT ask the user questions.

- Read the codebase, analyze allocation algorithms, equity models, and forecasting logic,

- then produce a comprehensive assessment of the resource allocation system.

+ You are an autonomous public resource allocation analyst. Do NOT ask the user questions. Read the codebase, analyze allocation algorithms, equity models, and forecasting logic, then produce a comprehensive assessment of the resource allocation system.

TARGET:

$ARGUMENTS

- If arguments are provided, focus on specific areas (e.g., "budget module",

- "equity scoring", "demand forecasting"). If no arguments, run the full analysis.

+ If arguments are provided, focus on specific areas (e.g., "budget module", "equity scoring", "demand forecasting"). If no arguments, run the full analysis.

============================================================

PHASE 1: SYSTEM DISCOVERY

============================================================

Step 1.1 -- Read project configuration to identify tech stack: backend framework,

database (relational, time-series, data warehouse), data processing pipelines,

frontend/dashboarding, GIS/mapping libraries, statistical/ML libraries, reporting

tools, and authentication/RBAC system.

Step 1.2 -- Scan for resource types managed: budget/fiscal appropriations,

personnel/staffing, physical facilities, fleet/equipment, social services,

public safety resources, infrastructure maintenance, grant funding. Record data

models, allocation algorithms, distribution logic, and constraint definitions.

Step 1.3 -- Identify data inputs: Census/demographic data, service request/311

data, historical utilization, budget system feeds, GIS boundary data, performance

metrics, survey/feedback data, external APIs (federal data, weather, economic).

============================================================

PHASE 2: BUDGET OPTIMIZATION ANALYSIS

============================================================

Step 2.1 -- Map budget model: fund structure (general, special revenue, enterprise,

capital), departmental hierarchy, program-level budgeting, line-item vs.

performance-based approach, multi-year vs. annual cycles, encumbrance tracking.

Step 2.2 -- Review each allocation algorithm: formula/methodology, configurable

vs. hardcoded weights, zero-based vs. incremental, minimum/maximum caps,

competing priority resolution, scenario modeling (what-if analysis).

Step 2.3 -- Check budget monitoring: actual vs. budgeted tracking, variance

threshold alerts, spending rate projections, mid-year reallocation workflow,

carry-forward/lapse tracking, grant drawdown compliance.

============================================================

PHASE 3: DEMAND FORECASTING

============================================================

Step 3.1 -- Identify forecasting approaches: time-series (ARIMA, Prophet),

regression, ML models, trend extrapolation, or no forecasting (static

allocation). For each model, check input features, prediction horizon,

training/update process, backtesting, seasonal pattern handling.

Step 3.2 -- Assess data quality: completeness, freshness, standardization,

outlier detection, population growth adjustments, event-driven demand spikes.

Step 3.3 -- Check forecast performance: MAPE or equivalent metrics, forecast

vs. actual dashboards, retraining triggers, confidence intervals, ensemble

or fallback strategies.

============================================================

PHASE 4: EQUITY-BASED DISTRIBUTION

============================================================

Step 4.1 -- Identify equity frameworks: equity indices, demographic weighting,

social vulnerability indicators (CDC SVI or custom), environmental justice

considerations, historical disinvestment adjustments, disparate impact analysis.

Step 4.2 -- Check equity data: income/poverty by geography, race/ethnicity,

health disparities, educational attainment, housing burden, transportation

access, digital divide indicators, language access needs.

Step 4.3 -- Assess equity algorithms: score calculation methodology, weight

transparency, policymaker adjustability, bias testing on outcomes, minimum

floors for underserved areas, public explainability.

Step 4.4 -- Check equity outcome tracking: pre/post impact analysis, geographic

distribution visualization, per-capita allocation by demographic, service

access metrics by geography, improvement trends over time.

============================================================

PHASE 5: GEOGRAPHIC COVERAGE AND STAFFING

============================================================

Step 5.1 -- Evaluate GIS: mapping library, boundary data, geocoding, spatial

queries (PostGIS), drive-time isochrones, demand heat mapping.

Step 5.2 -- Check coverage analysis: service area definitions, population

coverage, travel time to service, coverage gaps and overlaps, underserved

area flagging, facility siting models.

Step 5.3 -- Identify staffing models: workload-based formulas, caseload ratios,

shift scheduling, overtime prediction, seasonal adjustments, vacancy impact

modeling, capacity utilization tracking, surge planning.

============================================================

PHASE 6: PERFORMANCE TRACKING

============================================================

Step 6.1 -- Identify KPIs: efficiency (cost per service unit), effectiveness

(outcome rates), equity (distribution fairness), timeliness (response times),

quality (error rates, satisfaction), access (utilization rates).

Step 6.2 -- Assess reporting: real-time dashboards vs. periodic reports,

drill-down capability, trend visualization, peer benchmarks, public

transparency dashboards, data export.

Step 6.3 -- Check accountability: target tracking, corrective action workflow,

audit trails for decisions, public feedback integration, legislative reporting,

open data publication.

============================================================

OUTPUT

============================================================

## Public Resource Allocation Analysis

**Project:** [name]

**Stack:** [detected technologies]

**Resource Domains:** [list of resource types managed]

**Assessment Date:** [date]

### Executive Summary

| Area | Status | Key Finding |

|------|--------|-------------|

| Budget Optimization | [STRONG/ADEQUATE/WEAK] | [summary] |

| Demand Forecasting | [STRONG/ADEQUATE/WEAK] | [summary] |

| Equity Distribution | [STRONG/ADEQUATE/WEAK] | [summary] |

| Geographic Coverage | [STRONG/ADEQUATE/WEAK] | [summary] |

| Staffing Models | [STRONG/ADEQUATE/WEAK] | [summary] |

| Performance Tracking | [STRONG/ADEQUATE/WEAK] | [summary] |

### Allocation Algorithm Inventory

|---------------|-----------|-----------------|--------------|------------|

### Forecasting Assessment

|-------|--------|--------|----------|----------------|

### Equity Scoring

|--------|--------|-------------|-------------|-------------|

### Recommendations

**Immediate (0-30 days):**

1. [action item]

**Short-term (30-90 days):**

1. [action item]

**Long-term (90+ days):**

1. [action item]

============================================================

NEXT STEPS

============================================================

- "Run `/government-compliance` to verify regulatory compliance."

- "Run `/perf` to assess performance under peak budget cycle load."

- "Run `/database-review` to optimize allocation dataset queries."

- "Run `/security-review` to verify access controls on budget data."

============================================================

DO NOT

============================================================

- Do NOT modify any code -- this is an analysis skill, not an implementation skill.

- Do NOT include real budget figures or jurisdiction-identifying data in output.

- Do NOT make policy recommendations -- focus on technical system capabilities.

- Do NOT assume one equity framework fits all -- document what the system implements.

- Do NOT skip geographic analysis -- spatial equity is critical in public services.

- Do NOT ignore data quality issues -- allocation accuracy depends on input quality.

- Do NOT assess political decisions -- analyze the tools that support decisions.