hardness1020

Register work items, create feature branches, track and advance stages, close work items in the VibeFlow docs-first development workflow

Codebase discovery and analysis for Stage B of the VibeFlow docs-first workflow

Create Feature Specs for Stage E of the VibeFlow docs-first workflow

Create PRDs with success metrics for Stage A of the VibeFlow docs-first workflow

Create tech specs with architecture for Stage C of the VibeFlow docs-first workflow

Release preparation for Stages I-L of the VibeFlow docs-first workflow

Document ADRs for non-trivial choices at Stage D of the VibeFlow docs-first workflow

Write failing unit tests (RED), implement minimal code (GREEN), refactor with quality validation for Stages F-H of the VibeFlow docs-first workflow

Code quality review — identify patterns, anti-patterns, and improvements. Use when performing code reviews, auditing code quality, or evaluating pull requests for readability, maintainability, and correctness.

Coding standards and best practices checklist for Python and TypeScript. Use when reviewing or writing code to enforce naming conventions, structure guidelines, error handling patterns, and documentation standards. Apply to all workflow nodes that involve code generation or modification.

Security vulnerability audit — check for OWASP top risks, hardcoded secrets, injection points, and dependency CVEs. Use when auditing code for security vulnerabilities, reviewing authentication/authorization logic, or checking for secrets leakage before merge.

Fill PDF form fields from a data dict.

Apply the house SQL style guide.

Launch the skills analytics dashboard to view usage metrics, scores, and trends

Expert guidance for designing, optimizing, evaluating, and securing prompts and system prompt architectures for LLMs. Use when users need help with writing or improving prompts, designing system prompts or multi-section prompt architectures, building agent prompts with tool integration, prompt optimization and automated tuning, prompt security and injection defense, prompt evaluation and benchmarking, production prompt management, or understanding prompt engineering techniques like Chain of Thought, ReAct, Tree of Thoughts, few-shot learning, and Constitutional AI. Covers patterns derived from production agentic systems and the broader prompt engineering research landscape.