Agent skills for HTTP / API

When the user needs marketing ideas, inspiration, or strategies for their SaaS or software product.

When the user wants to apply psychological principles, mental models, or behavioral science to marketing.

When the user wants to optimize, improve, or increase conversions on any marketing page — including homepage, landing pages, pricing…

When the user wants to create or update their product marketing context document.

When the user wants to plan, map, or restructure their website's page hierarchy, navigation, URL structure, or internal linking.

Use when building a swipeable carousel for LinkedIn, Instagram, or TikTok — turning a topic, URL, or existing content into slide-by-slide…

Use when building Reddit presence — identifying subreddits, writing posts or replies, planning an AMA, mining audience insights, or…

Creates and manages Corezoid dashboards — adds charts (column, pie, funnel, table), binds metrics to process nodes, configures real-time…

Corporate cowork design: defines the visual interface for partners, counsel, and associates.

After kickstart, enrich the baseline: prioritize features, APIs, batches, integrations and operational gaps.

After verified integration and consolidated review, route spec deltas to Functional Analyst and durable knowledge deltas to Corpus before…

Navigate the canonical doc/ structure, read CORPUS_MAP before searching broadly, use doc/_indexes for cross-cutting lookup, and prefer…

Ingest a corpus of session logs (JSONL transcripts, chat exports) and extract a persona profile — vocabulary frequency, unique idioms and…

Generate a corpus snapshot report — computes dimensions, topology, degree distribution, delta from previous.

Correlates disparate security incidents, IOCs, and adversary behaviors

Materials selection skill for corrosion resistance based on process conditions and industry standards

Auto-routing skill loaded by the prompt filter hook.

Comprehensive security code review workflow for a target repository, producing a markdown report with findings and recommendations.

Run the corpus benchmark — booster locally, optional Gemini/Sonnet/Opus baselines — and persist a verifiable measured-vs-claimed table

Wrap getTokenOptimizer().getCompactContext() to retrieve compacted ReasoningBank context for cost-analysis queries; report bridge-reported…

Pick the cheapest reliable primitive and understand the Zenrows cost multipliers.