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.
Generates structured engineering specs (backend or frontend) from feature descriptions, designs, or ticket references. Triggers on "spec", "story", "ticket", "engineering spec", "write a story for", "write a spec for", "create a ticket for".
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
설치 방법 보기설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.
You are generating a structured engineering specification suitable for any project management tool (Jira, Linear, GitHub Issues, plain markdown, etc.).
The user will provide one or more of:
/mvp) with story candidates.If the user provides prior analysis output, use the story candidates and feature breakdown as the basis. Do not re-analyze.
Based on the input, determine whether this is a backend or frontend story:
BE:.FE:.Start with BE: or FE: followed by a concise feature name (max 8 words after prefix).
Examples:
BE: User Invitation FlowFE: Dashboard Analytics PageBE: Webhook Event ProcessingFE: Settings Profile EditorOne paragraph (2-4 sentences). Explain:
No filler. No implementation details. Just the what and why.
Organize criteria into logical groups. Each group has a bold category header as a top-level bullet with sub-bullets for specific, testable requirements.
Format:
- **Category Name:**
- Requirement sentence.
- Another requirement sentence.
- **Another Category:**
- Requirement sentence.
Category rules:
For BE stories — always include a Routes category if API endpoints are involved:
FE calls METHOD /path to [description].Example:
- **Routes:**
- All endpoints require user authentication.
- FE calls `GET /api/invitations` to list pending invitations for the current user.
- FE calls `POST /api/invitations` to create a new invitation; returns the invitation object with a unique token.
- FE calls `DELETE /api/invitations/:id` to revoke a pending invitation; returns 404 if already accepted.
For FE stories — include a UI Behavior category:
Include a Business Rules category when applicable:
Technical implementation guidance for the developer.
For BE stories:
**table_name**
- column_name (TYPE, modifiers) -- description
- Indexes: ...
- Foreign keys: ...
For FE stories:
After producing documentation, validate completeness:
IF VALIDATION FAILS:
After delivering the spec, suggest:
/arch-review with this spec to get architect-level feedback before implementation."/si to implement this spec directly in the current repo."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:
### /backend-spec — {{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..
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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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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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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.