Your agent can do more. Find the skill that makes it happen.
Find your next superpower If you are an agent, refer to our llms.txt for full access.Builds detailed briefs covering target keywords, competitive analysis, recommended statistics, section plans, and information gain. Includes template choices, word counts, internal links, TL;DR drafts, visual suggestions, and distribution plans optimized for search and AI citation visibility.
Supports Terraform infrastructure workflows within Google Cloud Application Design Center. Covers local HCL validation, best-practice plan scans, template imports and deployment, and troubleshooting deployment failures.
Evaluates blog content for visibility in Google and AI answer platforms. Checks evidence-backed citability, purpose and entity clarity, structured data, and AI crawler accessibility, then provides recommendations and a 0–100 citation readiness score.
Documents vocabulary, syntax, rhythm, structure, and signature writing techniques independently of emotional tone. Builds guides from existing voice resources, adapts them across channels, or infers patterns from a corpus to support consistent writing.
Replaces provider SDKs, REST calls, dependencies, configuration, request handling, and response parsing with appropriate Parallel products. Covers tests, documentation, unsupported capability separation, and audits for remaining provider usage.
Preserves old references to aiconfig-agent-graphs after its rename to agent-graphs. The description identifies it as a redirect to the replacement skill.
Processes web assets by resizing, cropping, trimming whitespace, converting PNG/WebP/JPG formats, and reducing file size. Also creates thumbnails and Open Graph card images using Pillow.
Covers model selection, dataset preparation, fine-tuning, evaluation, and deployment to SageMaker endpoints or Bedrock. Supports inference benchmarking, endpoint diagnostics, training infrastructure setup, and SageMaker Managed MLflow management.
Provides token optimization practices for cost-effective Claude Code usage. Covers efficient file reading, command execution, output handling, and model selection, with a preference for Bash commands over reading files.
Creates a customer journey map spanning stages, touchpoints, actions, emotions, and metrics. Helps diagnose a broken experience or align a team on the full customer flow.
Analyzes historical downtrend durations to show typical correction lengths. Generates interactive HTML histograms grouped by sector and market capitalization.
Covers the love.load, update, and draw lifecycle, delta-time movement, and input handling. Supports screen-state organization in LÖVE projects using main.lua, conf.lua, and .love files.
Skills give your agent reusable instructions for a specific job. Pick one, read what it does, and bring it into your workflow.
A name only tells half the story. Search the full description and instructions to find the right fit.
Read the skill, visit its source, and see exactly what you’re adding to your agent.
Copy the install command from a skill page and run it in your project.
npx skillycli add owner/repo --skill name