Use PromptKit’s official docs, machine-readable indexes, registry items, blocks, primitives, and source code to answer, debug, or implement React AI UI requests involving prompt-kit or prompt-kit.com. Trigger when a request names PromptKit, a PromptKit…
Coordinate a bounded multi-agent software task from decomposition through verified integration. Use for concurrent workers, dependent tasks, or shared integration ownership.
Create a beginner-friendly visual explainer with big pictures and few words as one self-contained HTML document. Use for ELI5 explanations of modules, tradeoffs, incidents, and unfamiliar topics.
Rewrite supplied text or Markdown in plain language while preserving facts, technical artifacts, structure, and the source language. Use when a user asks for a simpler explanation, document, or agent response without a meaning change.
Audit and design observability for one request, event, job, or state change across an application or distributed system using logs, metrics, traces, correlation identifiers, audit records, and operational artifacts. Use when making a flow measurable, defining…
Inspect the current GitHub pull request or stacked pull request as a read-only terminal dashboard, combining review threads, comments, CI, stack health, merge order, naming, visual proof, description quality, testing evidence, and split signals. Use when…
Assess and explain local and remote gh-stack health, topology, trunk freshness, atomic merge readiness, synchronization, rebase needs, recovery, CI shape, and safe next commands. Use when a stacked pull request may be stale, divergent, conflicted, misordered,…
Scaffold and compose a router-style skill in .agents/skills — validate the name, generate the SKILL.md plus references/ and scripts/ tree with a UV-runnable Python script, and write the body to the writing-for-agents discipline. Use when creating a skill…