
Generates formal meeting records (actas) with legal/corporate format, numbered sections, signatures block, and branded HTML output. [EXPLICIT] Trigger: "acta formal", "formal minutes", "acta corporativa", "acta de junta", "acta de consejo", "acta con firmas", "quorum"
--- name: agent-constitution-creator version: 1.0.0 description: [EXPLICIT] This skill should be used when the user asks to "create an agent constitution", [EXPLICIT] "define agent identity", "write agent.md", "generate agent spec", or "design [EXPLICIT] agent governance". Generates constitutional agent.md documents with 22 mandatory [EXPLICIT] fields covering identity, authority, governance, and quality for multi-agent [EXPLICIT] ecosystems. Use this skill whenever someone is buildin
--- name: agent-creator version: 1.0.0 description: [EXPLICIT] This skill should be used when the user asks to "create an agent", [EXPLICIT] "add a subagent", "make a custom agent", "define agent definition", [EXPLICIT] or "build an agent for X". Creates Claude Code custom agent definitions [EXPLICIT] with system prompts, tool restrictions, model selection, and reasoning [EXPLICIT] discipline. Use this skill whenever someone needs a new autonomous [EXPLICIT] subprocess for their pro
Audits existing AI system architectures against best practices — structural integrity, AI quality attributes, pattern adherence, anti-pattern detection, security compliance, and technical debt inventory. This skill should be used when the user asks to "audit AI architecture", "review ML system quality", "assess AI technical debt", "evaluate AI compliance", "detect AI anti-patterns", "review AI security posture", or mentions AI architecture review, AI system assessment, AI quality audit, drift monitoring audit, or AI governance review. [EXPLICIT]
WCAG 2.1 AA automated scanning with axe-core plus manual checklist for keyboard, screen reader, and contrast
Designs and reviews A/B tests with explicit hypothesis, primary metric, guardrail metrics, variants, sample-size assumptions, duration, stopping rules, instrumentation checks, and decision criteria. [EXPLICIT] Trigger: "ab testing, a/b test, experiment design, split test, hypothesis formulation, statistical significance, sample size calculation, test duration"
Designs and implements WCAG 2.1 AA accessibility patterns for web applications using native HTML first, targeted ARIA only when needed, keyboard interaction maps, focus management, screen reader semantics, contrast tokens, accessible forms, reduced motion, and inclusive interaction requirements. [EXPLICIT] Trigger: "accessibility", "WCAG", "ARIA", "a11y", "screen reader", "inclusive design"
Rewrite and review content so it is accessible, understandable, inclusive, and safe to publish: alt text, plain language, reading-level estimates, descriptive links, helpful errors, non-sensory instructions, localization, and evidence-backed limits. [EXPLICIT] Trigger: "accessibility writing", "accessible copy", "alt text", "plain language", "inclusive language", "reading level", "descriptive links"
Plan, execute, and report web accessibility tests with axe-core, Playwright/Jest evidence, keyboard scripts, screen reader smoke checks, color contrast validation, and explicit WCAG target scope. [EXPLICIT] Trigger: "accessibility test", "a11y test", "WCAG test", "screen reader", "axe-core", "keyboard accessibility"
AI-generated content detection, watermarking, human-AI hybrid strategies. [EXPLICIT] Trigger: "ai content detection"
Build admin dashboard interfaces with data tables, filters, charts, CRUD operations, real-time data updates, RBAC, auditability, and operational UI states. Covers layout patterns, data contracts, state management, and safety gates. [EXPLICIT] Trigger: "admin panel", "dashboard", "data table", "CRUD interface", "back-office", "RBAC dashboard", "admin console"
Guides implementation of AI system architectures — technology selection, pipeline implementation, model serving setup, monitoring deployment, and CI/CD automation. This skill should be used when the user asks to "implement AI architecture", "build ML pipeline", "set up model serving", "deploy AI system", "implement MLOps", "configure drift monitoring", "set up feature store", or mentions AI implementation plan, ML infrastructure setup, model deployment guide, RAG implementation, or agent framework setup. [EXPLICIT]
AI-generated test cases, fuzzing, mutation testing, coverage optimization. [EXPLICIT] Trigger: "ai assisted testing"
LLM-assisted code review patterns, automated suggestion generation. [EXPLICIT] Trigger: "ai code review"
Concept of Operations (CONOPS) for AI systems — system vision, stakeholder mapping, AI-human interaction spectrum, business value assessment, success metrics, and operational modes. This skill should be used when the user asks to "define the AI operational concept", "map AI stakeholders", "design AI-human interaction levels", "assess AI business value", "define AI success metrics", "plan AI operational modes", or mentions CONOPS, IEEE 1362, AI autonomy levels, AI value matrix, or AI system vision. [EXPLICIT]