AI-generated interfaces need consistent schemas, state bindings, and validation. This skill guides assistants through json-render core APIs for catalogs, prompts, streaming, and specification repair.

Turning UI specifications into maintainable application code can require repetitive traversal and prop serialization. This skill provides reusable utilities for generating structured code and custom exporters from json-render specifications.

Agent development can fail when guidance does not match the installed eve version. This skill directs your assistant to bundled documentation before project changes.

Business conditions can produce unexpected results when field names, missing values, or library behavior differ. This skill builds JsonLogic rules and guides targeted verification.

Useful workflow lessons disappear between work sessions. Task Observer records reusable observations and guides reviews that produce staged skill updates.

Interface projects often need clear visual direction before implementation. Oil UI guides design exploration, preview comparison, and evidence-based refinement.

Interactive line illustrations require consistent geometry, motion, and visual checks. This skill guides concept selection, builds a standalone HTML figure, and checks its structure and appearance.

Inconsistent sizes, cramped spacing, and hidden text make interfaces harder to read. This skill guides typography reviews and styling fixes using existing CSS or Tailwind conventions.

Architecture notes often leave attacker access and trust boundaries unclear. This skill turns existing Mantis knowledge into a structured threat model with deployment intent and snapshot provenance.

Large source trees make symbol navigation and caller discovery expensive. This skill guides structural indexing with reusable caches and coverage-aware queries while preserving lexical discovery.

Security fixes can fail when verification uses stale code or broken test harnesses. This skill guides minimal patches with snapshot checks, baseline tests, and independent re-attacks.

Long security reviews require coordinated specialist stages and reliable campaign state across repeated passes. This skill supervises Mantis subagents, preserves findings, and manages optional synchronization and snapshot provenance.

Past security fixes are difficult to track across repository history. This skill guides an AI agent to extract, classify, and cache historical vulnerabilities for later analysis.

Repeated security findings increase review effort and can obscure regressions. This skill guides consolidation while preserving provenance, active regression candidates, and transaction history.

Security findings need consistent priorities grounded in exploit evidence and architectural context. This skill applies a risk matrix and documented caps to existing Mantis findings.

Large changes become difficult to review when unrelated concerns share one branch. This skill guides dependency-based branch planning and non-interactive stacked PR workflows.

Ponytail users need a clear reference for modes, commands, and configuration. This skill displays that reference once without changing modes or saving state.

Email campaigns can lose focus when timing, audience needs, and conversion goals are unclear. This skill creates structured sequences with practical copy and measurement guidance.

Selecting suitable partners and coordinating joint campaigns requires clear priorities and shared expectations. This skill structures partner evaluation, campaign ideas, outreach, responsibilities, and measurement.

Inconsistent events and campaign labels make marketing and product results difficult to measure. This skill provides tracking plans, implementation examples, and validation guidance for GA4 and Google Tag Manager.