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Transforms logic, code paths, architecture, or verification results into a horizontal slide deck with a dark-theme PPT-style, Mermaid diagrams, and coloured panels, delivered as a single HTML file. Use it to visually explain how something works, or when slides, a deck, diagrams, or flowcharts are requested.

Automatically generates a structured project knowledge base (CONTEXT.md) from codebase analysis, creating a living map of architecture, conventions, decisions, and dependencies. It has zero dependencies, uses pure markdown, and is inspired by mattpocock's shared language and jcode's semantic memory, but automated and structured.

Audits an unfamiliar codebase, mapping its architecture, user-facing features, maturity, and risks. This skill is used to inspect repositories, summarize the tech stack, explain structure, list implemented features, assess maturity, or prepare a coding brief from an existing project.

Give your AI agent a soul, defining personality, values, taste, and growth in pure markdown. Create soul-driven agents with zero dependencies.

Analyzes subscription funnels, onboarding, paywalls, pricing, package strategy, trials, churn, and renewal signals to identify improvements and help implement fixes for any subscription product.

Audit and rewrite content to remove AI writing patterns ("AI-isms"). Use this skill when asked to "remove AI-isms," "clean up AI writing," "edit writing for AI patterns," "audit writing for AI tells," or "make this sound less like AI." Supports a detection-only mode that flags patterns without rewriting.

TiDB X is object-storage-native distributed SQL for AI agent workloads. Use it when building agent memory, context storage, multi-agent coordination, Web3 indexing, or any durable queryable state for AI systems.

Dynamic context management for AI agents. Invoke /protext at session.

Use this skill when setting up or configuring code quality tools (formatters, linters, type checkers, dependency scanners) for a repository, or when adding visual accessibility automation or security baseline scanning. Do not use it for general coding or when tools are already configured.

Test prompts for regression after changes. Catch quality drops before they hit production. Zero dependencies.

Systematic development guardrails that enforce disciplined, context-aware coding and product-aware thinking. Apply this skill before any technical task, such as coding, debugging, refactoring, architecture, automation, or frontend/backend integration, covering technologies like Supabase, React, and AI.

Decide doc-impact after meaningful code, config, CI/CD, security, architecture, API, or workflow changes, route updates to the right files, and avoid activation for cosmetic-only or behavior-neutral edits.