accessibility
FreeEnsure accessibility in UI components including semantic HTML, ARIA attributes, keyboard navigation, and WCAG 2.2 AA compliance.
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Research-backed template refresh workflow for updating existing templates with placeholder verification and rendering validation.
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See how to installReview the instructions the agent will receive before you install.
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 exampleNo reviews yet. Tell others what you thought.
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Ensure accessibility in UI components including semantic HTML, ARIA attributes, keyboard navigation, and WCAG 2.2 AA compliance.
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Use when you want to improve response quality through meta-cognitive reasoning. Applies 15+ reasoning methods to reconsider and refine initial outputs.
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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.
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Force adversarial code review stance that eliminates confirmation bias — reviewer must find issues or re-analyze
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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.
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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
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