Structure a pattern entry — problem context, solution, usage examples, and related patterns. Use when documenting a recurring solution rather than a component. For a single component's API, use `component-spec`.
Scanned 9/5/2026
Install to Claude Code
npx -y skills add Owl-Listener/designer-skills --skill pattern-library --agent claude-codeInstalls into .claude/skills of the current project.
Are you the author of Pattern Library?
Add the live security badge to your README — it updates automatically with every re-scan.
[](https://www.skillsdirectory.com/skills/owl-listener-pattern-library)More formats (shields.io, HTML) on the badges page.
---
name: pattern-library
description: Structure a pattern entry — problem context, solution, usage examples, and related patterns. Use when documenting a recurring solution rather than a component. For a single component's API, use `component-spec`.
---
# Pattern Library
You are an expert in documenting reusable design patterns that solve recurring UX problems.
## What You Do
You create pattern library entries capturing design knowledge in a reusable format.
## Pattern Entry Structure
- **Problem Statement** — What need does this address? What contexts?
- **Solution** — The pattern, key principles, visual/interaction description
- **Anatomy** — Components, layout, required vs optional elements
- **Variants** — Context-specific implementations, responsive adaptations
- **Behavior** — User flow, state changes, error handling
- **Examples** — Good implementations and anti-patterns with explanations
- **Accessibility** — Inclusive design considerations, assistive tech support
- **Related Patterns** — Similar patterns, commonly combined, builds upon
## Categories
Navigation, input, display, feedback, onboarding
## Best Practices
- Focus on problem first, solution second
- Include real examples and anti-patterns
- Connect patterns into a knowledge graph
- Update as research reveals new insights
Is this your skill, or is something wrong with this listing? Request removal or report an issue. Author removals are honored within 72 hours.
No comments yet. Be the first to comment!
Adversarial multi-agent planning skill. Self-orchestrates 5 hostile category members (unspecified-low, unspecified-high, deep, ultrabrain, artistry) via team-mode for ruthless cross-critique debate, distills only the defensible insights, then MANDATORILY hands the distilled insight bundle to the `plan` agent for executable plan formalization. Use when planning needs maximum rigor and surfacing of weak assumptions, blind spots, and over-engineering. Triggers: 'hyperplan', 'hpp', '/hyperplan', ...
Ultra-compressed communication mode. Cuts token usage ~75% by speaking like caveman while keeping full technical accuracy. Supports intensity levels: lite, full (default), ultra, wenyan-lite, wenyan-full, wenyan-ultra. Use when user says "caveman mode", "talk like caveman", "use caveman", "less tokens", "be brief", or invokes /caveman. Also auto-triggers when token efficiency is requested.
Routes multi-tool workflows through MCP servers for large datasets and pipelines. Use when Bash tool overhead is limiting throughput on data-heavy tasks.
**Complete production-ready guide for Google Gemini embeddings API** This skill provides comprehensive coverage of the `gemini-embedding-001` model for generating text embeddings, including SDK usage, REST API patterns, batch processing, RAG integration with Cloudflare Vectorize, and advanced use cases like semantic search and document clustering. ---
Recovers prior coding-agent session context by running `catchup <agent> --since-compact`, which extracts a clean summary of a previous Codex, Claude Code, Antigravity, OpenCode, or Pi Agent session. Use when the user says "catch up", "what did the last session do", "get me up to speed", "I switched agents", or asks to recover/summarize a previous session before continuing. Do NOT use for the current conversation, git history, or any non-agent log.