What problem does it solve? AI agents often commit to a direction before collecting enough context, leading to invented facts, duplicated infrastructure, and missed prior decisions. This Skill standardizes the context-gathering step so every workflow starts from sourced facts, explicit assumptions, and a clear readiness gate. ## Core Features & Use Cases - Multi-source evidence collection: Pulls facts from long-term memory MCP, code RAG, git history, PR metadata, logs, tickets, and agent-fleet journals with preserved source pointers. - Capability reuse inventory: Requires checking for existing brokers, services, and platform capabilities before proposing new infrastructure, returning reuse, cannot-satisfy, or clarify-first verdicts. - Proceed gate and telemetry: Emits a ready, clarify-first, council-first, or blocked status plus run-telemetry metrics on source counts, latency, and confidence. - Use Case: Before starting a debug investigation or feature plan, run this Skill to produce a grounding brief that lists relevant prior decisions, conflicting docs, open questions, and whether work can proceed. ## Quick Start Ask the agent to create a grounding brief for your goal, providing any linked docs, tickets, repos, and a time budget before starting the main workflow.
