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。
Improve router-facing pipeline and reflection narration to reduce noisy status churn and make Step 0/Reflection outcomes explicit. Use when updating Router output contract, reflection reminder wording, or post-pipeline notification batching.
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 keep pipeline/reflection output concise, explicit, and low-noise.
TaskList().block stays block).TaskList() call — omitting the narration makes reflection spawning invisible to the user and breaks the pipeline audit trail.block semantics when modifying pipeline narration — changing guardrail modes while fixing UX copy conflates two concerns and masks the behavioral impact of either change.| Anti-Pattern | Why It Fails | Correct Approach |
|---|---|---|
| Omitting Step 0 narration | Reflection spawning invisible to user; pipeline audit trail broken | Always emit "Step 0: N pending reflections..." before spawning reflection agents |
| Missing one-line reflection outcome | User cannot distinguish completed reflection from skipped one | Emit report path + one-line summary after every reflection-agent completion |
| One status message per late-completing agent | Creates noise storms; clutters pipeline output | Batch all late completions into one summary message after drain gate passes |
| Changing guardrail modes while fixing UX copy | Conflates two changes; behavioral impact of each masked in review | Separate UX copy changes from guardrail mode changes in distinct commits |
| Emitting Step 0 completion after TaskList() | Violates router output contract; narration out of sequence | Emit "Step 0 complete." before calling TaskList(), not after |
Before starting:
Read .claude/context/memory/learnings.md
After completing:
.claude/context/memory/learnings.md.claude/context/memory/issues.md.claude/context/memory/decisions.mdASSUME INTERRUPTION: If it's not in memory, it didn't happen.
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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。