Skill UI

Manages complex, iterative background jobs (Ralph loop) for continuous process evolution. It automatically runs multiple `evolve_step` generations until predefined stopping criteria are met (e.g., QA pass, convergence, or max generations). Ideal for complex AI generation pipelines requiring robust, non-stop processing.

Create original, competition-ready commercial mediation problems and confidential packets with iterative validation. Ideal for educators, trainers, and legal professionals designing realistic dispute resolution exercises with balanced settlement corridors.

Comprehensive guide for configuring and using Claude Code, including CLAUDE.md templates, advanced prompting keywords, debugging tips, and best practices for iterative AI-assisted development.

This skill covers strategies for compressing conversation history in AI agent sessions to manage context window limits. It focuses on optimizing tokens-per-task rather than just tokens-per-request. Techniques include anchored iterative summarization, opaque compression, and regenerative summaries. It also addresses artifact trail integrity and evaluation methods like probe-based testing to ensure critical information like file paths and decisions are preserved during compression.

This skill guides the creation of comprehensive, structured strategic documents (SSOT, life vision, principles) using a strict, iterative interview-style methodology. Instead of generating content, the AI asks one focused question at a time. The user provides the answer, and the AI patches the document incrementally, ensuring the user remains the primary author. It is ideal for deep reflection, strategic planning, and building authoritative knowledge bases.

A human-in-the-loop studio for iteratively tuning AI outputs or reviewing complex media/prose. It allows users to directly manipulate visual parameters (color, typography, layout) or annotate documents in real-time, moving beyond static comparison grids or vague prompts. Perfect for designers and content creators who need hands-on, visual feedback.

Expert guide for interpreting and fixing n8n validation errors, covering missing_required, invalid_value, expression failures, and iterative validate-fix loops. Provides concrete remediation guidance for workflow validation output.

Guides how to craft detailed prompts for Google Stitch so it generates high-quality web and mobile UI designs, covering specificity, visual style, multi-screen structure, platform targeting, and iterative refinement.

This skill helps identify similar vulnerabilities and bugs across codebases using pattern-based analysis. It is used for hunting bug variants, building CodeQL or Semgrep queries, analyzing security vulnerabilities, and performing systematic code audits after an initial issue is found. It involves understanding root causes, creating exact match patterns, and iteratively generalizing search criteria while avoiding false positives.

Vizcom is an AI-driven platform that transforms rough sketches, line art, or text descriptions into photorealistic 3D renders. Ideal for designing physical products like furniture, electronics, and consumer goods, it offers multiple render styles and iterative exploration to achieve high-fidelity, visually stunning visualizations.

WGM is a robust, agentic methodology designed to transform vague or rough requirements into working, validated software. It enforces a disciplined workflow across six stages: deep alignment (Grill), structured planning, deterministic iterative building (Loop), mandatory holdout-scenario judging, and final documentation audits. It ensures that the resulting code converges against rigorously tested acceptance criteria rather than relying on single-pass generation.

Delegate bounded coding tasks to the Z.AI ZCode CLI while retaining review and landing responsibility. Orchestrator writes a brief, ZCode implements, then the orchestrator verifies and commits. Supports read-only planning and session continuation for iterative workflows.