Traders need structured SMC analysis without manually checking every liquidity level. This skill converts local chart data into bias, entries, stops, targets, and risk warnings.

Vague, bloated prompts waste context and produce unreliable AI agent behavior. This skill applies Anthropic context-engineering principles to help you write clear, structured, high-signal prompts that improve accuracy and reduce token cost.

Technical PRDs often include code details that slow agent planning. This skill converts them into structured XML app specs for Claude, Codex, and Claude Code.

Building reusable AI skills requires clear structure and activation rules. This skill provides templates, workflows, and validation checks for Claude, Codex, and Claude Code.

Software project choices often rely on generic advice, incomplete evidence, or hidden operating costs. This skill produces evidence-based recommendations with explicit tradeoffs and next steps.

Backend test coverage is hard to keep consistent across routes, services, models, and middleware. This skill detects project patterns and helps generate practical Jest, Supertest, and MongoDB tests.

Educational image prompts often produce generic diagrams that miss the lesson goal. This skill turns lesson context into focused creative briefs for learner-appropriate visuals.

Teams need consistent UX feedback before changing interface components. This skill applies a three-part framework for position, visual weight, and spacing.

Choosing between AI coding tools can waste time, context, and budget when the task is unclear. This skill provides a structured framework for selecting Claude Code, Gemini CLI, or a staged workflow.

Technical content can feel clear to experts while confusing learners. This skill reviews drafts for audience fit, jargon, missing context, accessibility, and practical revision steps.

Long lessons are hard to review when learners need fast recall. This skill creates concise Markdown summaries with concepts, patterns, mistakes, and learning connections.

Learning plans often use subjective levels that hide missing prerequisites and uneven progress. This skill applies CEFR, Bloom's Taxonomy, and DigComp to create measurable, connected skill progressions.

Important session lessons are often lost after a task ends. This skill turns corrections and patterns into reusable project knowledge.

Course authors need balanced quizzes that test understanding instead of memorization. This skill creates 50-question Quiz component assessments with feedback, source links, and answer distribution checks.

Repeated AI tasks often drift because useful prompt patterns stay informal. This skill helps users turn proven prompts into reusable templates with parameters and success criteria.

Large Nx workspaces are hard to navigate, test, and keep fast as teams add projects. This skill gives Claude, Codex, and Claude Code practical Nx command guidance.

Educational slide decks often miss learner level, structure, and review criteria. This skill guides Claude, Codex, or Claude Code through NotebookLM prompts, checks, and file naming.

Vague goals make lessons hard to assess and improve. This skill creates measurable objectives with Bloom levels, CEFR mapping, prerequisites, assessments, and success criteria.

Course teams need consistent visuals that explain concepts quickly. This skill turns creative briefs into Gemini image-generation workflows with quality gates and file organization.

Teams often copy Helm examples that do not match their operational constraints. This skill guides chart architecture through dependencies, hooks, values, environments, and operator needs.