Route software changes through framing, discovery, design, implementation, and verification stages.
npx skills add https://github.com/magnus919/agent-skills --skill neckbeard
Please help me install this Agent Skill. Skill: neckbeard Source: https://github.com/magnus919/agent-skills/tree/main/bundles/neckbeard Command: npx skills add https://github.com/magnus919/agent-skills --skill neckbeard
This skill solves the problem of unreliable, "persona-based" AI software development by enforcing a rigorous, evidence-based workflow that prioritizes verifiable outcomes over confident but unproven code.
Load the neckbeard skill and follow its core loop to frame your software change contract and begin the evidence-driven delivery process.
High-intent search queries and answers about installing and using this skill.
An evidence-driven workflow prevents unreliable AI development by generating a change contract, performing systematic discovery, and maintaining an audit-ready evidence ledger. This skill enforces that discipline by routing tasks through five stages to verify outcomes at the production boundary.
An evidence ledger is an inspectable record proving a software change works at the production delivery boundary. You need one during non-trivial engineering tasks like bug diagnosis or refactoring to ensure verifiable outcomes over confident but unproven code.
To stop AI shortcuts during bug diagnosis, route tasks through a disciplined operating model requiring framing, systematic discovery, and verification. This skill enforces an evidence-based workflow prioritizing verifiable outcomes over unproven code.
Yes, evidence-led delivery requires an agent harness capable of file operations, terminal access, and dynamic skill loading. These capabilities maintain the inspectable evidence ledger throughout the software engineering lifecycle.
Yes, this workflow applies to refactoring within complex systems alongside bug diagnosis and feature development. It routes non-trivial software engineering tasks through a rigorous evidence-based process verifying changes at the real delivery boundary.
Specialist composition works by orchestrating specific tasks like debugging, security, or architecture to appropriate specialist skills. It maintains a unified evidence ledger across all routed tasks ensuring consistent verification.
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