What it does

The Agentic Workflow is a language-agnostic, risk-aware protocol designed to prevent the four most common AI agent failures: silent assumptions, scope creep, untested deployments, and credential leakage. It transforms vague requests into evidence-based execution by enforcing a multi-stage engineering lifecycle similar to a senior dev's mental model.

Why use this skill

Prompting an AI often results in "hallucinated" progress or unexpected side effects. This skill forces your agent to follow a structured discipline of research, planning, safety-gating, and verification. It is better than raw prompting because it includes built-in guardrails like cascading failure detection, secret scanning, and an absolute "never push" rule for production stability.

Supported tools

• Development Environments: Works inside or outside Git worktrees with filesystem fallback.
• Frameworks: Language-agnostic (Python, Go, Node, Rust, etc.).
• CI/CD: Comprehensive verification matrices and rollback planning.
• Safety: Integrated secret scanning and shell quoting safety protocols.

The Output

Instead of just code, you receive an audit-ready closure report including a Risk Class assessment, a Verification Matrix (Passed/Failed/Unstable), a Scope Check (Planned vs. Actual changes), and a Rollback Strategy. It ensures all work is staged, verified, and ready for human approval.