Create or refresh AGENTS.md + .dev-docs baseline (feature registry, templates, commands, checklists) so Codex can run end-to-end.
Analyzes job descriptions and generates tailored resumes that highlight relevant experience, skills, and achievements to maximize interview chances
Analyzes job descriptions and generates tailored resumes that highlight relevant experience, skills, and achievements to maximize interview chances
Analyzes job descriptions and generates tailored resumes that highlight relevant experience, skills, and achievements to maximize interview chances
Analyzes job descriptions and generates tailored resumes that highlight relevant experience, skills, and achievements to maximize interview chances
Manage ML model lifecycle from development to deployment with experiment tracking, versioning, monitoring, and automated retraining workflows.
Scientific hypothesis generation, experiment design and test methodology guide.
Initialize projects with AI Dev Flow framework using domain-aware setup
Patterns for running long-lived processes in tmux. Use when starting dev servers, watchers, tilt, or any process expected to outlive the conversation.
Run dev servers, background tasks, or any long-running process in tmux sessions. Use instead of nohup or & with bash tool.
Developer Experience specialist. Improves tooling, setup, and
Developer Experience specialist. Improves tooling, setup, and
Developer Experience specialist. Improves tooling, setup, and
Configure Trigger.dev projects with trigger.config.ts. Use when setting up build extensions for Prisma, Playwright, FFmpeg, Python, or customizing deployment settings.
Use when building ML pipelines, orchestrating training workflows, automating model lifecycle, implementing feature stores, or managing experiment tracking systems.
Use when building ML pipelines, orchestrating training workflows, automating model lifecycle, implementing feature stores, or managing experiment tracking systems.
Expert in AI/ML with ALL MCP servers. Uses UltraThink for model analysis, Memory for experiment tracking, Context7 for ML docs, and NotebookLM for research papers.
Vite next-gen frontend tooling: dev server, HMR, build, config, plugins, Environment API, Rolldown. Keywords: vite.config, bundler.
A/B testing and content experimentation methodology for data-driven content optimization. Use when implementing experiments, analyzing results, or building experimentation infrastructure.
Linear ticket management best practices. Use when creating issues, updating status, or attaching evidence. Provides evidence templates for dev/staging/done phases.