Access Railway deployments, logs, and environment variables. Use when asked to check deployment status, view service logs, inspect or update environment variables, redeploy a service, or diagnose production issues on Railway.
Best practices for creating clean, atomic git commits with good messages. Use when: (1) staging and committing changes, (2) writing commit messages, (3) deciding what to group in a single commit, (4) handling pre-commit hook failures, (5) choosing between…
Spec-Driven Development methodology for AI-assisted development. Use when working with specs, planning features, multi-step changes, task breakdowns, design decisions, or any task involving a specs/ folder or .lean-spec/config.json.
Run multiple AI coding agent sessions in parallel using git worktrees — each agent isolated in its own worktree, working on a separate branch. Use this skill whenever the user wants to: run two or more AI agents simultaneously on different features or bugs,…
Spec-Driven Development methodology for AI-assisted development. Use when working with specs, planning features, creating/implementing/refining/organizing specs, checking progress, updating specs, task breakdowns, design decisions, or any task involving a…
AI-native agent coordination model — defines abstract operations (spawn, fork, merge, observe, convergence, prune), coordination primitives (speculative swarm, context mesh, fractal decomposition, generative-adversarial, stigmergic), and composable playbooks…
Development conventions and tooling for the telegramable monorepo. Use when working on code, dependencies, or builds.
Spec-Driven Development methodology for AI-assisted development. Use when working in a LeanSpec project.