What problem does it solve?
AI coding missions often start with unresolved questions about external facts, design precedents, or technical feasibility, leading to specs built on guesswork. This Skill structures discovery work so research findings become decision-ready evidence tied directly to mission phases.
Core Features & Use Cases
- Pre-Spec Discovery: Run research missions before specification to narrow uncertainty about requirements, technologies, or design options.
- Plan-Anchored Research Scaffolding: Invoke
/spec-kitty.research after /spec-kitty.plan to scaffold research artifacts from an existing plan.
- Decision-Ready Findings: Record assumptions, source quality, and unresolved questions, then hand results back to
spk-mission-specify or spk-mission-plan.
- Use Case: Before writing a spec for a new integration, run a research mission to investigate candidate APIs, document their trade-offs with source quality notes, and feed the conclusions into the specify phase.
Quick Start
Ask the agent to run a research mission investigating the open technical questions for your feature and return decision-ready findings for the specify phase.