Explorar skills

Central router for the marketing skill ecosystem. Use when unsure which marketing skill to use, when orchestrating a multi-skill campaign, or when coordinating across content, SEO, CRO, channels, and analytics. Also use when the user mentions 'marketing help,' 'campaign plan,' 'what should I do next,' 'marketing priorities,' or 'coordinate marketing.'

Meta-orchestrator that classifies tasks and routes to the right combination of installed skills across caveman (output compression), superpowers (dev workflow), and claude-skills (domain expertise). 23 routing categories including whole-codebase analysis via repomix-pack and LLM/AI app dev. Invoke with /agent-master. Use as default entry point for ambiguous or multi-domain requests.

Use proactively whenever LLM API costs come up -- or should. Triggers include: 'my AI costs are too high', 'optimize token usage', 'which model should I use', 'LLM spend is out of control', 'implement prompt caching', 'we're about to launch an AI feature', 'build me an AI endpoint'. Don't wait for an explicit cost complaint -- if someone is building an AI feature, designing an LLM endpoint, or cho

Web accessibility patterns for WCAG 2.2 compliance including ARIA, keyboard navigation, screen readers, and testing

Guia para aprimorar o código frontend com a capacidade de renderizar saídas de IA/LLM (Markdown, LaTeX, blocos de código) de forma segura e precisa na interface do usuário.

Set up a new autoresearch experiment interactively. Collects domain, target file, eval command, metric, direction, and evaluator.

Comprehensive incident response framework from detection through resolution and post-incident review. Battle-tested SRE/DevOps practices: severity classification, timeline reconstruction, structured post-incident analysis. Use when declaring an incident, coordinating multi-team response during an outage, leading a post-mortem, or setting up on-call practices for a new service.

Peer-review-style manuscript critique. 6 modes: full (5-reviewer report + editorial decision + revision roadmap), quick (brief editor first-impression), methodology (in-depth methodology critique), re-review (verification of revisions), guided (Socratic issue-by-issue dialogue with the author), calibration (FNR/FPR reviewer-accuracy calibration). Engage when the user asks for a review, critique, p

Designs and implements backend systems including REST APIs, microservices, database architectures, authentication flows, and security hardening. Use when the user asks to "design REST APIs", "optimize database queries", "implement authentication", "build microservices", "review backend code", "set up GraphQL", "handle database migrations", or "load test APIs". Covers Node.js/Express/Fastify develo

Use when writing, reviewing, or committing code to enforce Karpathy's 4 coding principles — surface assumptions before coding, keep it simple, make surgical changes, define verifiable goals. Triggers on "review my diff", "check complexity", "am I overcomplicating this", "karpathy check", "before I commit", or any code quality concern where the LLM might be overcoding.

When the user wants to develop social media strategy, plan content calendars, manage community engagement, or grow their social presence across platforms. Also use when the user mentions 'social media strategy,' 'social calendar,' 'community management,' 'social media plan,' 'grow followers,' 'engagement rate,' 'social media audit,' or 'which platforms should I use.' For writing individual social

Um framework de avaliação em nível de sistema para pipelines LLM multiestágio, que pontua o pipeline como um todo em 8 dimensões, incluindo qualidade de entrada/saída, design do prompt e fundamentação factual. Ele complementa o `deepeval` ao avaliar a arquitetura do pipeline em vez de artefatos de conteúdo únicos.