Claude Skills by LoopyLuci

Use when implementing Sentry error tracking.

Use when implementing SEO strategies and technical audits.

Use when building SEO. Keywords, on-page, technical.

Use when conducting SEO audits.

Use when building serverless applications and functions.

Use when designing service mesh architecture and patterns.

Auto-start, health-check, restart 2+ services from one CLI.

Use when managing multi-platform Sentinel service lifecycle.

Use when setting up Matt Pocock skills in a new workspace or project

Use when setting up Husky pre-commit hooks with lint-staged and formatting

Use when setting up TypeScript deep modules with dependency-cruiser enforcement

Use when creating GLSL shaders for real-time visual effects

Use when running SOC/SIEM operations.

Use when implementing SRE patterns and practices.

Use when tracking skill usage and performance analytics.

Use when designing multi-skill architectures.

Use when planning multi-skill architectures for complex tasks.

Skill audit: review, find gaps, draft skills.

Use when designing efficient skill authoring workflows.

Decide when to load a skill proactively vs. waiting.

Check if a relevant skill exists before starting a task.

Use when generating skill blueprints and structures.

Design skill bundles for recurring multi-skill workflows.

Browse and search 1,000+ skills to find what you need.

Use when validating skill code examples and patterns.

Use when creating collaborative skill authoring templates.

Stack and chain multiple skills for complex tasks.

Use when optimizing skill content quality and density.

Manage context window usage across multiple loaded skills.

Use when creating or improving skills with eval testing.

Make skills work across Hermes, Codex, and other agents.

Use when mapping skill dependencies and cross-references.

Write trigger-based 60-char descriptions for skill routing.

Use when building authoring, testing, and iterating skills.

Use when discovering new skill creation opportunities.

Use when discovering, designing, or developing skills.

Use when cataloging and organizing skill ecosystems.

Recover when a skill's instructions fail at runtime.

Use when autonomously discovering and creating skills.

Recover when no skill matches or the loaded one fails.

Use when identifying missing skills and opportunities.

Detect when a skill is missing and request or create one.

Use when running the autonomous skill discovery AI model.

Use when auditing, pruning, or consolidating skills.

Turn user corrections into skill improvements or new skills.

Progressively load skills to minimize context token waste.

Use when maintaining and updating existing skills.

Format skill output — media, files, and documents.

Rank which skills to load first in constrained contexts.

Chain skill invocations together across turns.