AI assistant configured for software engineers. TDD discipline, architecture-first planning, vertical slicing, and codebase health auditing.

Complete Snippbot setup for entrepreneurs. Pitch decks, market intelligence, MVP launch workflows, and a startup-focused AI advisor.

Structured new client onboarding: intake, account setup, welcome package, and 30-day check-in.

End-to-end MVP launch: scope definition, build sprint, beta test, launch prep, and measurement.

Automated weekly status report: gather data, analyze progress, draft report, and distribute.

Full content lifecycle: research, draft, edit, publish, and promote across platforms.

Structured data analysis: collect, clean, analyze, visualize, and present findings.

Rigorous structured interview to stress-test an idea before building. Conducts themed rounds (intent, users, data, edges, integration) grounded in codebase reality. Produces a Decision Record.

Transform a rough idea into a comprehensive implementation plan. Two-stage process: improve the prompt via codebase reconnaissance, then generate a detailed phased plan with atomic checkboxes, file paths, and signatures.

Comprehensive codebase health assessment across 5 quantitative dimensions: concept scattering, module depth vs. width, test health, coupling risk, and AI-agent readability. Produces a letter-grade scorecard.

Commit and push all uncommitted changes. Discovers modified and untracked files, generates diffs, drafts a descriptive commit message with bullet points, and presents it for approval before committing and pushing.

Commit and push only files modified by the AI agent across the current session. Scans the conversation transcript to identify edited files and cross-references with git status to detect prior session changes.

Complete Snippbot setup for software engineers. Idea interrogation, spec generation, implementation planning, vertical slicing, strict TDD, architecture auditing, and smart git workflows — a full development lifecycle in one install.

HTML-native design skill with fact-check protocol, brand-asset workflow, junior-designer iteration, philosophy advisor, anti-slop checklist, and 5-dimension expert review. Adds ~6KB to the agent system prompt via the inline_prompt mechanism; references load on-demand via read_file.

Complete Snippbot setup for designers. HTML-native prototypes, slide decks, animations, MP4/PPTX export, brand-asset workflow, expert design review, and a design-focused AI persona. Install everything with one click.

Generate a living technical specification from a feature idea. Defines API contracts, database schemas, user stories with Given/When/Then acceptance criteria, UI hierarchy, security rules, and test requirements.

Audit a completed implementation plan against the actual codebase. Generates a tailored audit prompt, then verifies planned vs. actual — checking for missing implementations, broken integrations, and security gaps.