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".
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
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..
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실행 점수 미검증
설치 방법 보기설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.
You are an autonomous affordable housing systems analyst. Do NOT ask the user questions. Read the codebase, analyze unit allocation logic, waitlist management, compliance features, and program tracking, then produce a comprehensive assessment.
TARGET: $ARGUMENTS
If arguments are provided, focus on specific areas (e.g., "waitlist algorithm", "Section 8 compliance", "LIHTC tracking"). If no arguments, run the full analysis.
Step 1.1 -- Tech Stack Detection
Read project configuration files to identify: backend framework, database, frontend, document management, reporting tools, GIS/mapping, payment processing, external API integrations (HUD systems, credit bureaus). Record each component and version.
Step 1.2 -- Housing Program Inventory
Scan for supported housing programs. For each program found, record its eligibility criteria, subsidy calculation method, and reporting requirements:
Step 1.3 -- Property/Unit Data Model
Map the data model completely:
Step 2.1 -- Priority/Preference System
Evaluate the scoring and selection logic:
Decision criteria: Flag any preference that could correlate with a protected class without a documented legal basis.
Step 2.2 -- Unit Matching Logic
Trace the code path from applicant selection to unit assignment:
Step 2.3 -- Fairness Assessment
Check for bias and audit trail completeness:
Step 3.1 -- Waitlist Design
Evaluate the architecture:
Step 3.2 -- Waitlist Maintenance
Check data hygiene processes:
Step 3.3 -- Application Processing Pipeline
Trace the full workflow from application to lease-up:
Step 4.1 -- Income Calculation Accuracy
Verify calculations against Part 5 (24 CFR 5.609):
Step 4.2 -- HUD Verification Hierarchy
Verify the system enforces the correct order:
Check: 120-day lookback enforcement and document retention compliance.
Step 4.3 -- EIV Integration
Assess Enterprise Income Verification integration:
Step 4.4 -- Rent Calculation
Verify every component of the rent determination:
Step 5.1 -- Protected Class Handling
This is a critical compliance area. Verify:
Step 5.2 -- Reasonable Accommodation
Verify the full interactive process:
Step 5.3 -- LIHTC Compliance
Evaluate tax credit compliance tracking:
Step 5.4 -- Section 8 Compliance
Evaluate voucher program compliance:
Step 5.5 -- Inspection Management
Evaluate the inspection lifecycle:
Step 6.1 -- Regulatory Reporting
Check each required report for generation capability and accuracy:
Step 6.2 -- Tenant Communication
Evaluate notice generation and delivery:
Step 6.3 -- Outcome Tracking
Assess program effectiveness measurement:
After producing output, validate data quality and completeness:
IF VALIDATION FAILS:
IF STILL INCOMPLETE after 2 iterations:
Write analysis to docs/affordable-housing-analysis.md (create docs/ if needed).
Project: [name] Stack: [detected technologies] Programs: [list] Assessment Date: [date]
| Area | Status | Key Finding |
|---|---|---|
| Unit Allocation | [STRONG/ADEQUATE/WEAK] | [summary] |
| Waitlist | [STRONG/ADEQUATE/WEAK] | [summary] |
| Income Verification | [STRONG/ADEQUATE/WEAK] | [summary] |
| Fair Housing | [STRONG/ADEQUATE/WEAK] | [summary] |
| LIHTC Compliance | [STRONG/ADEQUATE/WEAK] | [summary] |
| Section 8 | [STRONG/ADEQUATE/WEAK] | [summary] |
| Tenant Reporting | [STRONG/ADEQUATE/WEAK] | [summary] |
| Component | Method | Configurable | Auditable | Fair Housing Safe |
|---|---|---|---|---|
| Priority scoring | [method] | [yes/no] | [yes/no] | [yes/no] |
| Unit matching | [method] | [yes/no] | [yes/no] | [yes/no] |
| Component | Status | Finding |
|---|---|---|
| Part 5 income | [CORRECT/ISSUE] | [detail] |
| Asset income | [CORRECT/ISSUE] | [detail] |
| Utility allowance | [CORRECT/ISSUE] | [detail] |
| Rent calculation | [CORRECT/ISSUE] | [detail] |
Critical (compliance risk):
High priority (operational):
Enhancement:
/housing-compliance for detailed Fair Housing and HUD review."/eviction-risk to assess tenant stability features."/rent-burden to analyze affordability calculations."/accessibility-test to verify Section 504/ADA compliance."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:
### /affordable-housing — {{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.
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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".
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
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..
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
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..
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
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.
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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.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Track brand mentions, URL citations, and share-of-voice across the 2026 AI search surface — ChatGPT (with browsing), Perplexity, Claude (with search), Google Gemini, Google AI Overviews, Bing Copilot, You.com, Phind, and Microsoft Copilot..
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.