What problem does it solve?
AI coding assistants often generate unverifiable advisory answers that cite stale source code, restate outdated documentation, or mark unsubstantiated claims as high confidence, leading to poor technical decisions and wasted development time.
Core Features & Use Cases
- Evidence-bound advisory outputs: Enforces read-before-cite discipline to ensure all cited code, file paths, and API behavior are verified against the current project revision.
- Domain-specific SME consultation: Calls specialized subject matter expert agents for up to 3 relevant domains per project phase to provide targeted, expert guidance.
- Explicit uncertainty marking: Flags low-confidence claims and specifies exactly what additional evidence would resolve uncertainty, eliminating guesswork from advisory outputs.
- Use Case: When evaluating whether to adopt a new frontend framework for your project, use this skill to get verified, domain-specific advice with clear confidence levels instead of unsubstantiated recommendations that could lead to costly rework.
Quick Start
Use the consult skill to get verified advisory answers for your question about integrating the new payment gateway into the existing codebase.
