Ensure accessibility in UI components including semantic HTML, ARIA attributes, keyboard navigation, and WCAG 2.2 AA compliance.
中文简介正在准备中。当前显示原文说明。
Research-backed template refresh workflow for updating existing templates with placeholder verification and rendering validation.
中文简介正在准备中。当前显示原文说明。
查看安装方法安装前可以查看交给 AI 代理的指令内容。
Use this skill to refresh an existing template safely: research current best practices, compare against current implementation, verify placeholder completeness, apply updates, and validate rendering.
Never update a template blindly. Every refresh must be evidence-backed, TDD-gated, and integration-validated.
{{PLACEHOLDER}} tokens and their expected values.claude/templates/CLAUDE.md for template conventionstemplate-renderer skill for rendering expectationsSkill({ skill: 'research-synthesis' }) if external research neededEdit tool — never rewrite the entire file{{PLACEHOLDER}} tokens are documented in the template headerSkill({ skill: 'template-renderer' })pnpm lint:fix && pnpm formatMemoryRecord if significant{{PLACEHOLDER}} tokens MUST be documented with description and example还没有评价。欢迎分享你的使用感受。
无需登录即可发表。欢迎分享使用感受、提问,或说明在哪些环境下无法运行。
还没有评论。来写第一条吧。
Ensure accessibility in UI components including semantic HTML, ARIA attributes, keyboard navigation, and WCAG 2.2 AA compliance.
中文简介正在准备中。当前显示原文说明。
Use when you want to improve response quality through meta-cognitive reasoning. Applies 15+ reasoning methods to reconsider and refine initial outputs.
中文简介正在准备中。当前显示原文说明。
N-round opposing-stance debates for trade-off analysis. Assigns pro/con roles to agents, runs structured debate rounds with quality scoring, and produces a moderator synthesis with confidence-rated recommendation. Generalizable to architecture, technology, security, and design decisions.
中文简介正在准备中。当前显示原文说明。
Force adversarial code review stance that eliminates confirmation bias — reviewer must find issues or re-analyze
中文简介正在准备中。当前显示原文说明。
Creates specialized AI agents on-demand when no existing agent matches a request. Use when the Router cannot find a suitable agent for a task. Enables self-evolution by generating persistent agents.
中文简介正在准备中。当前显示原文说明。
LLM-as-judge evaluation framework with 5-dimension rubric (accuracy, groundedness, coherence, completeness, helpfulness) for scoring AI-generated content quality with weighted composite scores and evidence citations
中文简介正在准备中。当前显示原文说明。