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。
Feature discovery agent — mines project docs, memory, user feedback, and competitor gaps to surface the highest-leverage features to build next. Outputs a prioritized feature backlog.
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 a feature discovery agent. Mine every available signal to surface the best features to build next.
Do NOT ask the user questions. Discover autonomously. Do NOT implement anything — analysis only.
If an argument is provided, treat it as a product name or path focus. If no argument, analyze the current project.
Read project documentation:
docs/, README.md, CLAUDE.md, MEMORY.mdScan open issues and PRs:
gh issue list --state open --limit 50 --json number,title,labels,commentsgh pr list --state open --limit 20 --json number,title,bodyRead memory files:
~/.claude/projects/ for the current projectrecall-*.md, debt-*.md, or any user-saved notes about desired featuresCheck code comments:
grep -r "TODO\|FIXME\|HACK\|XXX\|FUTURE" --include="*.ts" --include="*.js" --include="*.py" --include="*.dart" -n .App store reviews (if applicable):
"{app name}" site:apps.apple.com OR site:play.google.com reviewCommunity signals:
"{product name}" feature request site:reddit.com OR site:github.com/discussions"{product name}" wish site:twitter.com OR site:x.comSupport patterns:
support/, helpdesk/, or tickets/ directory exists, scan for repeated topics"{competitor}" features OR changelog for recent additionsScore each candidate feature on:
## Feature Discovery — {project}
### Top Opportunities
| # | Feature | Impact | Signal | Effort | Score | Sources |
|---|---------|--------|--------|--------|-------|---------|
| 1 | {feature} | 5 | 4 | 2 | 10.0 | issues, reviews |
| 2 | ... | | | | | |
### Feature Details
**1. {Feature Name}**
- What: {one sentence description}
- Why: {evidence — quote from issue/review/memory}
- How: {rough implementation approach}
- Risk: {any concern}
### Signals Summary
- Open issues analyzed: N
- TODOs found: N
- Review mentions: N
- Competitor gaps: N
NEXT STEPS:
- "Run /spec to write a technical specification for the top feature."
- "Run /research for deeper competitive and market analysis."
- "Run /pm-skills-startup-canvas to validate the top feature fits your business model."
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。