What problem does it solve?
Teams adopting AI coding agents lack a concrete way to measure how well their repository supports those agents. This Skill runs the AgentRC readiness assessment on the current repository and turns the raw JSON output into a self-contained HTML dashboard with scores, pillar breakdowns, and a remediation plan.
Core Features & Use Cases
- Automated readiness scan: Wraps
npx github:microsoft/agentrc readiness --json to score the repo across 9 pillars spanning Repo Health and AI Setup, mapped to a 5-level maturity model.
- Policy support: Accepts
--policy <path-or-pkg> to apply org-specific scoring rules, thresholds, and disabled criteria, with defaults read from agentrc.config.json.
- Static HTML dashboard: Hands off to the
ai-readiness-reporter agent, which fills the bundled report-template.html to produce reports/index.html with KPIs, per-pillar recommendations, AI relevance badges, and a prioritised remediation plan.
- Use Case: Before rolling out Copilot to a team, run the assessment to get a maturity level, overall score, and a Fix First / Fix Next / Plan list of concrete improvements.
Quick Start
Ask the assistant to run an AI-readiness assessment on this repository and generate the HTML report, optionally passing a policy file with --policy.
