AI-powered adeno-associated virus (AAV) vector design for gene therapy including capsid engineering, promoter selection, and tropism optimization.
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Comprehensive web quality audit covering performance, accessibility, SEO, and best practices. Use when asked to "audit my site", "review web quality", "run lighthouse audit", "check page quality", or "optimize my website".
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实测评分 未实测
查看安装方法安装前可以查看交给 AI 代理的指令内容。
Comprehensive quality review based on Google Lighthouse audits. Covers Performance, Accessibility, SEO, and Best Practices across 150+ checks.
Lighthouse v13 note (Oct 2025+). Lighthouse has migrated the Performance category from per-opportunity audits to Performance Insight Audits (announcement). Several individual audit names this skill historically referenced — First Meaningful Paint, No Document Write, Uses Passive Event Listeners, Uses Rel Preload — have been removed or merged. The underlying advice is unchanged and still applies; only the report format moved. The CLS-related audits ("layout shifts", "non-composited animations", "unsized images") are now consolidated into a single
cls-culprits-insight, and image audits are merged intoimage-delivery-insight. Treat older Lighthouse JSON output as a superset, not a contradiction.
The bundled scripts/analyze.sh helper is read-only and requires a POSIX
shell plus jq. On Windows or another host without those dependencies, use
the documented manual inspection or an equivalent local tool and report that
the helper itself was not run.
Core Web Vitals — Must pass for good page experience:
Resource Optimization:
srcset.@import.font-display: swap. Preload critical fonts. Subset to needed characters.Loading Strategy:
<link rel="preconnect"> for third-party domains.Perceivable:
<img> has meaningful alt text. Decorative images use alt="".Operable:
Understandable:
lang attribute on <html>.Robust:
Crawlability:
On-Page SEO:
<h1>. Logical heading structure.Technical SEO:
Security:
Modern Standards:
document.write, synchronous XHR, etc.<!DOCTYPE html>.<meta charset="UTF-8"> as first element in <head>.UX Patterns:
| Level | Description | Action |
|---|---|---|
| Critical | Security vulnerabilities, complete failures | Fix immediately |
| High | Core Web Vitals failures, major a11y barriers | Fix before launch |
| Medium | Performance opportunities, SEO improvements | Fix within sprint |
| Low | Minor optimizations, code quality | Fix when convenient |
When performing an audit, structure findings as:
## Audit results
### Critical issues (X found)
- **[Category]** Issue description. File: `path/to/file.js:123`
- **Impact:** Why this matters
- **Fix:** Specific code change or recommendation
### High priority (X found)
...
### Summary
- Performance: X issues (Y critical)
- Accessibility: X issues (Y critical)
- SEO: X issues
- Best Practices: X issues
### Recommended priority
1. First fix this because...
2. Then address...
3. Finally optimize...
For detailed guidelines on specific areas:
<!-- MCP:START --> <!-- PORTABILITY:START -->This skill is written to stay usable across GitHub Copilot, Claude Code, and Codex.
$CODEX_HOME/skills/web-quality-audit and restart Codex after major changes.Preferred MCP Server: None required
web-quality-audit outside its documented task boundary.Before claiming the web-quality-audit workflow succeeded:
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AI-powered adeno-associated virus (AAV) vector design for gene therapy including capsid engineering, promoter selection, and tropism optimization.
中文简介正在准备中。当前显示原文说明。
Improve the clarity and voice of AI-assisted academic writing (papers, theses, rebuttals) and
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12-agent academic paper writing pipeline. 11 modes (full/plan/outline/revision/revision-coach/abstract/lit-review/format-convert/citation-check/disclosure/rebuttal-audit). 6 paper types, 5 citation formats, bilingual abstracts, LaTeX/DOCX-via-Pandoc/PDF output. Style Calibration + Writing Quality Check + Anti-Patterns with IRON RULE markers. Triggers: write paper, academic paper, guide my paper, parse reviews, audit my rebuttal, check my response draft, AI disclosure, 寫論文, 學術論文, 引導我寫論文, 審查意見, 評估回覆, 논문 작성, 초록 작성, 논문 수정, 논문 계획을 도와줘, 심사 의견 반영, 답변서 점검, AI 사용 고지.
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Systematic writing framework for philosophy and interdisciplinary academic papers from optimized outline to submission-ready manuscript. Use when users want to: (1) write a paper from a detailed outline, (2) ensure quality control during writing, (3) maintain consistency across chapters, (4) prepare a submission-ready manuscript, or (5) systematically execute a planned paper. Triggered by phrases like 'write the paper from this outline,' 'compose the full manuscript,' 'execute the outline,' or when users have completed strategic planning (academic-paper-strategist skill) and are ready to write. Takes optimized outline as input; outputs complete manuscript with iterative quality checks.
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Multi-perspective academic paper review with dynamic reviewer personas. Runs a 5-seat, role-separated review panel (Journal-Fit Reviewer + 3 peer-review roles + Devil's Advocate) with field-specific expertise; role separation is not a claim of independent error processes. Supports full review, re-review (verification), quick assessment, methodology focus, Socratic guided, and calibration modes. Triggers on: review paper, peer review, manuscript review, referee report, review my paper, critique paper, simulate review, editorial review, calibrate reviewer, reviewer calibration, measure reviewer accuracy, 審查論文, 論文審查, 模擬審查, 同儕審查, 幫我審這篇, 以審查人角度評估, 審查者校準, 논문 심사, 동료 심사, 모의 심사, 심사자 관점에서 평가, 심사자 보정.
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Systematic strategic planning framework for philosophy and interdisciplinary academic papers targeting preprint platforms (PhilArchive, arXiv, PhilSci-Archive). Use when users want to: (1) plan a paper on a specific topic, (2) identify research gaps and assess originality, (3) develop optimized paper outlines, (4) prepare for preprint submission, or (5) understand platform requirements and writing standards. Triggered by phrases like 'plan a paper on,' 'help me design a paper about,' 'identify research gaps in,' 'is this idea original,' or when users need structured research planning. The skill guides through three phases: Platform Analysis (identifying target venue and studying sample papers), Theoretical Framework (AI-driven literature search and gap identification), and Outline Optimization (structured design with reviewer-perspective self-assessment). Each phase includes quality evaluation standards and validation checkpoints.
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