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 government benefits processing software for eligibility determination, application workflow efficiency, document verification, error rates, appeal tracking, multi-program coordination, and ADA/Section 508 compliance..
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 benefits processing analyst. Do NOT ask the user questions. Read the codebase, analyze eligibility logic, workflow efficiency, and compliance, then produce a comprehensive assessment of the benefits processing system.
TARGET: $ARGUMENTS
If arguments are provided, focus on specific areas (e.g., "SNAP eligibility only", "document verification", "appeal workflow"). If no arguments, run the full analysis.
Step 1.1 -- Read project configuration to identify tech stack: backend framework, database, frontend, authentication, document storage, integration middleware, and reporting tools.
Step 1.2 -- Scan codebase for supported benefit programs: SNAP, Medicaid/CHIP, TANF, WIC, housing assistance, LIHEAP, SSI/SSDI, Unemployment Insurance, and state-specific programs. For each, record eligibility rule modules, application intake endpoints, and determination workflow paths.
Step 1.3 -- Identify external integrations: Federal Data Services Hub, SAVE, state wage databases, SSA verification, IRS income verification, vital records, child support enforcement, EBT systems. Record connection types and error handling.
Step 2.1 -- Locate the eligibility rules engine (Drools, IBM ODM, custom logic). Determine if rules are externalized/configurable or hardcoded. For each program, trace: income thresholds, asset tests, categorical eligibility, household composition, citizenship checks, work requirements, time-limit tracking.
Step 2.2 -- Analyze income calculation: gross income computation, allowable deductions (earned income, dependent care, shelter, medical), self-employment income, irregular income averaging, prospective vs. retrospective budgeting, multi-program counting differences. Flag hardcoded poverty level thresholds.
Step 2.3 -- Verify household composition logic handles: purchase-and-prepare test, elderly/disabled separate household rules, boarders, institutional residents, homeless individuals, students, ineligible member proration.
Step 2.4 -- Check edge cases: mixed immigration status households, zero-income, self-employment losses, seasonal workers, military families, disaster-affected households (expedited processing), pending verification applicants.
Step 3.1 -- Evaluate intake: online portal (mobile-responsive?), paper digitization, kiosk and phone support, multi-language forms, save-and-resume, pre-screening eligibility tools.
Step 3.2 -- Map the processing pipeline from receipt through benefit issuance: queuing, caseworker assignment (manual vs. automated), verification requests, document collection, interview scheduling, determination, notice generation. Identify automation level and bottlenecks at each stage.
Step 3.3 -- Check federal timeliness tracking: SNAP 30-day standard / 7-day expedited, Medicaid 45-day / 90-day disability, TANF state timelines. Verify deadline alerting and expedited case fast-tracking.
Step 3.4 -- Analyze document handling: upload capabilities, OCR/automated extraction, type classification, verification checklists, missing document notifications, retention policies, secure storage and access controls.
Step 4.1 -- Scan input validation: SSN format and duplicate detection, address standardization, date validation, income reasonableness checks, cross-field consistency, required field enforcement.
Step 4.2 -- Identify quality controls: supervisor review queues, random sample selection, automated error detection, payment accuracy tools, federal QC sample identification, error-prone case flagging.
Step 4.3 -- Analyze error correction: overpayment/underpayment detection, claim establishment, recoupment scheduling, inadvertent error vs. intentional violation classification, waiver processing.
Step 5.1 -- Check appeal workflow: filing mechanisms, timeliness validation, continued benefits during appeal, hearing scheduling, evidence assembly, disposition recording, decision implementation, overturn rate analytics.
Step 5.2 -- Assess multi-program coordination: single application for multiple programs, auto-screening, shared client index, cross-program data sharing, conflicting information detection, categorical eligibility triggers, benefit interaction rules, transitional benefits.
Step 5.3 -- Scan for Section 508 / ADA compliance: ARIA labels, keyboard navigation, screen reader compatibility, color contrast (WCAG 2.1 AA), form labels, skip navigation, alt text, multi-language support, mobile responsiveness, low-bandwidth tolerance, timeout warnings.
After producing output, validate data quality and completeness:
IF VALIDATION FAILS:
IF STILL INCOMPLETE after 2 iterations:
Project: [name] Stack: [detected technologies] Programs Covered: [list of benefit programs] Assessment Date: [date]
| Area | Status | Key Finding |
|---|---|---|
| Eligibility Logic | [STRONG/ADEQUATE/WEAK] | [summary] |
| Workflow Efficiency | [STRONG/ADEQUATE/WEAK] | [summary] |
| Error Prevention | [STRONG/ADEQUATE/WEAK] | [summary] |
| Appeals | [STRONG/ADEQUATE/WEAK] | [summary] |
| Multi-Program Coord | [STRONG/ADEQUATE/WEAK] | [summary] |
| Accessibility | [STRONG/ADEQUATE/WEAK] | [summary] |
| Program | Eligibility | Application | Benefit Calc | Notices | Appeals |
|---|---|---|---|---|---|
| SNAP | [status] | [status] | [status] | [status] | [status] |
| Medicaid | [status] | [status] | [status] | [status] | [status] |
| TANF | [status] | [status] | [status] | [status] | [status] |
| Metric | Current | Federal Requirement | Gap |
|---|---|---|---|
| SNAP standard | [days] | 30 days | [gap] |
| SNAP expedited | [days] | 7 days | [gap] |
| Medicaid | [days] | 45 days | [gap] |
| Gap | Severity | Impact | Recommendation |
|---|---|---|---|
| [description] | [HIGH/MED/LOW] | [impact] | [fix] |
| Issue | WCAG Criterion | Location | Severity |
|---|---|---|---|
| [description] | [criterion] | [file:line] | [Critical/High/Med/Low] |
Immediate (0-30 days):
Short-term (30-90 days):
Long-term (90+ days):
/government-compliance to verify FedRAMP and FISMA compliance."/benefits-fraud to assess fraud detection capabilities."/accessibility-test to run automated Section 508 testing."/perf to assess system performance under high application volume."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:
### /benefits-processing — {{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。