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Found 1,957 Skills
When the user needs to design, improve, or audit a post-signup activation flow to get new users to their first value moment. Activate when activation is lagging, time-to-value feels excessive, or first sessions lack impact.
Detect AI-generated code patterns ("slop") in PHP/Laravel and TypeScript/React source — comment narration, generic naming, premature interfaces, defensive overdose, mock-everything tests, and the absence of human "scars". Use when reviewing AI-assisted PRs, auditing code for taste/quality (not metrics — that's technical-debt), or hardening a code-review checklist. Triggers on "review for AI slop", "find AI patterns", "check code feels human", "audit code-quality taste".
Designs user experiences and interfaces grounded in research. Use when creating user journeys, wireframes, prototypes, or improving usability. Use for information architecture, interaction design, accessibility audits, design system creation, and developer handoff.
Testing strategy for Plate/Slate editor work — pure unit tests, plugin contract tests, golden serializer tests. Use when planning test layers, auditing a flaky suite, or deciding what to skip.
Design, audit, and refactor production-safe agentic harnesses with provider-neutral best practices for tools, permissions, planning, context, and observability.
Prepare for upcoming meetings — pulls Cal.com bookings, researches participants, audits previous sessions from Obsidian vault, and creates prep notes. Also links prep notes to post-meeting session notes.
Assesses how ready a business is for AI adoption across six dimensions. Evaluates data maturity, tech stack, team skills, process documentation, budget, and culture. Generates a comprehensive ai-readiness-report.md with scores, gap analysis, and recommended starting points. Aligned with OneWave AI's audit methodology.
Uses Agent SDK to deploy 3 parallel agents for client onboarding -- workflow auditor, tech stack mapper, and strategy drafter. Real consulting workflow that produces a complete client assessment.
Validar prompts dirigidos a agentes de IA (Claude Code, Cursor, Copilot, etc.) contra reglas de redacción efectiva. Calcular un porcentaje de efectividad del prompt y devolver sugerencias de mejora concretas, más una propuesta de prompt reescrito. Cubre verbos no imperativos, lenguaje conversacional, acciones vagas, términos subjetivos, alcance difuso, prohibiciones implícitas, intenciones múltiples y nombres genéricos. Las reglas de detalle técnico (alcance, nombres exactos) se aplican solo a prompts de implementación; en prompts funcionales (user stories, descripciones de comportamiento) se marcan N/A. Usar siempre que el usuario pida validar, revisar, auditar, mejorar, corregir o "pulir" un prompt antes de enviarlo a un agente, o cuando pegue un prompt y pida feedback sobre cómo está redactado.
Run an extremely strict maintainability review for abstraction quality, giant files, and spaghetti-condition growth. Use for a thermo-nuclear code quality review, thermonuclear review, deep code quality audit, or especially harsh maintainability review.
Audit a landing page / marketing homepage against Marc Lou's 31 viral-product principles plus a visual craft-and-interaction lens, returning a defensible score out of 100, six category meters, a prioritized punch-list of concrete fixes, and ready-to-paste rewrites. Works on a live URL or a locally running app (renders desktop + mobile screenshots and reads the source). Use when the user invokes /landing-audit, says "audit my landing page / homepage", "viral audit", "review the landing page", "how's my homepage / page", "why doesn't my page convert", or asks what to fix on a landing page.
Gate a pitch against one journalist at a time. Runs the pair through proven media-relations checks (last-10-bylines audit, 90-day topic sweep, beat-vs-angle-vs-one-off, the 5 forms of journalism, source-mirror, stated-preferences, database triangulation) and returns fit, soft-fit, no-fit, or unknown with a real recent anchor and specific edits.