AI Decision System
Replayable, offline-verifiable records for AI-assisted go/no-go decisions: experiment promotions, typed model answers and human-approved actions.
Describe the product outcome. SkipHow keeps product authority with you while one accountable agent owns research, architecture, implementation, review, integration, and proof.
Developer toolsPython · HTMLGitHub @mzoredOnlineOwner unconfirmed
Have you tried it? One tap is enough. No sign-in needed.
Adaptive virtual CTO for Claude Code and Codex. You own product decisions; the agent owns the technical lifecycle through verified completion.
Taken from the repository README
Loading the full README. The saved excerpt is shown below.
An adaptive virtual CTO for founders and product owners using Claude Code or Codex.
Describe the product outcome in ordinary language. You keep product decisions. SkipHow owns technical research, architecture, planning, task management, model and subagent selection, implementation, review, integration, and verification. It uses the host's native capabilities and remains an instruction layer, not a standalone runtime or security boundary.Read the full README ↗The full README is unavailable right now. Read it at the original link. The saved excerpt is shown below.
An adaptive virtual CTO for founders and product owners using Claude Code or Codex.
Describe the product outcome in ordinary language. You keep product decisions. SkipHow owns technical research, architecture, planning, task management, model and subagent selection, implementation, review, integration, and verification. It uses the host's native capabilities and remains an instruction layer, not a standalone runtime or security boundary.Read the full README ↗