AI-native development methodology — rules, skills, and scripts for working with coding agents
Agent Cursor
Analyzes and proposes deeper, more mature usage of beads (bd) across the playbook. Use proactively when evaluating beads adoption patterns, workflow maturity, or proposing advanced beads features. Deeply familiar with both the ai-dev-playbook repo and the bd CLI.
Agent Cursor
Designs better documentation, onboarding guides, scripts, and automation for the ai-dev-playbook. Use proactively when evaluating docs quality, onboarding friction, automation gaps, or proposing new scripts and guides. Deeply familiar with the entire repo.
Agent Cursor
Measures the causal link between playbook rule changes and observed agent behavior shifts. Use proactively after rule edits to establish baselines, run before/after comparisons, analyze agent transcripts for adherence patterns, and determine which rules are landing vs being ignored. Deeply familiar with the…
Agent Cursor
Audits and improves the 8 canonical agent rules (.mdc files) and sync/worktree scripts. Use proactively when evaluating rule quality, coverage gaps, consistency, or when proposing new rules. Deeply familiar with the ai-dev-playbook repo structure.
Agent Cursor
Creative strategist for the ai-dev-playbook. Generates novel ideas to extend the playbook's value beyond incremental improvements. Use proactively when brainstorming new capabilities, exploring unconventional approaches, or thinking about what the playbook could become. Deeply familiar with the repo and the broader…