Ai skills

This skill helps you explore and extract content from markdown files efficiently using mq queries, reducing token usage and speeding documentation reasoning.

This skill guides enterprise-grade project setup with monorepo, microservices, and AI-native patterns to scale with high availability.

This skill helps you build a platform-independent design system with a reusable component library and design tokens across web, mobile, and frameworks.

This skill helps you design and implement robust backend APIs with zero script QA using structured logs for validation.

This skill helps you generate PDCA documents with consistent structure using Plan, Design, Analysis, and Report templates.

This skill helps improve search rankings and harden security by applying SEO best practices, meta tags, and vulnerability checks across the app.

This skill enforces PDCA-driven coding standards and auto-triggers appropriate AI agents to streamline feature development and code quality.

This skill streamlines Unity gameobject operations by creating, deleting, renaming, and transforming multiple objects efficiently with batch support.

This skill helps you create, instantiate, and manage Unity prefabs efficiently, using batch instantiation for multiple objects.

This skill helps you configure Unity asset import settings for textures, audio, and models, supporting batch operations for multiple assets.

This skill helps you generate code after validating requirements and aligning with project patterns, ensuring minimal, reliable implementations.

This skill researches first, then clarifies scope with judgment-based questions, delivering a concrete problem statement and measurable success criteria before

This skill generates Deckset markdown presentations from conversation context, preserving claims, structure, and presenter notes for cohesive narrative slides.

This skill creates or refactors Codex skills with minimal diffs, updating frontmatter, SKILL.md, and agents/openai.yaml while keeping lean.

This skill coordinates pentest activities, deploying specialized agents, aggregating findings, and generating comprehensive reports to streamline engagement

This skill captures evidence-backed execution learnings and persists them as JSONL in .learnings.jsonl for reuse in future turns.

This skill analyzes Wayback snapshots to detect technology migrations over time, revealing historical stack changes and migration patterns for a domain.

This skill orchestrates swarm subagents to optimize solution quality through structured critique and consensus-driven task completion.

This skill refines an existing Codex skill using minimal diffs and quick validation to improve reliability and triggers.

This skill automates HackerOne workflows by parsing scope CSVs, deploying parallel pentest agents, validating PoCs, and generating ready-to-submit reports.

This skill converts user content into polished Xiaohongshu cover prompts with templates and JSON output for image generation.