Vibe coding workflow - autonomous development agents for implementation, code review, test coverage auditing, bug fixing, and maintainability checks with quality gates
Toolkit for solo developers to build, manage, and grow their business - content creation, personal branding, productivity, and more
Audit UI/UX changes in a focus area against design guidelines for accessibility, consistency, and usability issues.
Captures writing style/voice into AUTHOR_VOICE.md so AI can write like the user. Use when asked to match tone, write like me, replicate voice, or capture writing style for content generation.
Create a BRAND_GUIDELINES.md that defines how to communicate with your customer. Requires CUSTOMER.md to exist first. Covers voice, tone, language rules, messaging framework, and copy patterns.
Create a DESIGN_GUIDELINES.md that defines how to design UI/UX for your customer. Requires CUSTOMER.md to exist first. Covers aesthetic direction, design tokens, typography, color, motion, components, and layout patterns. Bakes in frontend-design skill principles to avoid generic AI aesthetics.
Generate text in your voice using your AUTHOR_VOICE.md document. Provide a topic or prompt as argument.
Flexible multi-provider LLM consultations using Python/LiteLLM - includes consultant agent, review/bug-investigation/execplan commands, and consultant skill for deep AI-powered code analysis across 100+ models with custom base URL support
Single-model consultation using consultant agent. Defaults to gpt-5.2-pro.
Multi-model ensemble consultation. Runs 3 models in parallel for diverse perspectives.
Deep bug investigation using consultant agent. Identifies root causes and fix suggestions.
Production-level PR review using consultant agent. 10-category framework focused on correctness.
Standalone utilities that complement the core development workflow - git operations, documentation management, and code cleanup
Find and remove AI-generated slop (useless comments, verbose patterns, unnecessary abstractions).
Update main/master from origin, rebase current branch on it, resolve conflicts, and push.
Rewrite branch into clean, narrative-quality commits. Creates backup, reimplements on fresh branch, verifies byte-identical, then replaces original branch history.
Create or update CLAUDE.md with best practices - brevity, universal applicability, progressive disclosure
Tools for crafting, refining, and improving LLM prompts - includes update-prompt command for balanced prompt optimization that avoids overfitting
Iteratively auto-optimize a prompt until no issues remain. Uses prompt-reviewer in a loop, asks user for ambiguities, applies fixes via prompt-engineering skill. Runs until converged.
Review and analyze LLM prompts using the 10-Layer Architecture. Provides detailed assessment without modifying files.
Experimental verification-first workflows. Every criterion has explicit verification; implementation can't stop without verification passing or proper escalation.
Autonomous execution from definition file. Works toward acceptance criteria, auto-verifies, prevents premature stopping. Use when you have a definition file from /define and want hands-off execution.
Internal completion marker. Called by /verify when all criteria pass. Outputs summary and allows stop.
Internal escalation handler. Called by /do when genuinely stuck after verification. Requires structured evidence of attempts.
Autonomous implementation from spec file. Works toward acceptance criteria, auto-verifies, prevents premature stopping. Use when you have a spec file from /spec and want hands-off implementation.
Internal verification runner. Executes all verification methods from definition against codebase. Called by /do, not directly by users.
Personal decision-making advisor - helps you make confident choices through situation discovery, targeted research, and structured analysis
No verified skills in this plugin.
Frontend design patterns and implementation skills for distinctive, non-generic UI experiences