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Found 2,202 Skills
Security architecture and threat modeling. OWASP Top 10 analysis, security pattern implementation, vulnerability assessment, and security review for code and infrastructure.
iOS development expert including SwiftUI, UIKit, and Apple frameworks
Kubernetes cluster management and troubleshooting. Query pods, deployments, services, logs, and events. Supports context switching, scaling, and rollout management. Use for Kubernetes debugging, monitoring, and operations.
Svelte and SvelteKit expert including components, stores, and routing
Workflow for repository reconnaissance and operations using GitHub CLI (gh). Optimizes token usage by using structured API queries instead of blind file fetching.
Requires detailed type annotations for all Python functions, methods, and class members.
Build, validate, and deploy LLM-as-Judge evaluators for automated quality assessment of LLM pipeline outputs. Use this skill whenever the user wants to: create an automated evaluator for subjective or nuanced failure modes, write a judge prompt for Pass/Fail assessment, split labeled data for judge development, measure judge alignment (TPR/TNR), estimate true success rates with bias correction, or set up CI evaluation pipelines. Also trigger when the user mentions "judge prompt", "automated eval", "LLM evaluator", "grading prompt", "alignment metrics", "true positive rate", or wants to move from manual trace review to automated evaluation. This skill covers the full lifecycle: prompt design → data splitting → iterative refinement → success rate estimation.
Guide for working with SQL queries, in particular for SQLite. Use this skill when writing SQL queries, analyzing database schemas, designing migrations, or working with SQLite-related code.
Use this skill when crafting, reviewing, or improving prompts for LLM pipelines — including task prompts, system prompts, and LLM-as-Judge prompts. Triggers include: requests to write or refine a prompt, diagnose why an LLM produces inconsistent or incorrect outputs, bridge the gap between intent and model behavior, reduce ambiguity in instructions, add few-shot examples, structure complex prompts, or improve output formatting. Also use when the user needs help distinguishing specification failures (unclear instructions) from generalization failures (model limitations), or when iterating on prompts based on observed failure modes. Do NOT use for general coding tasks, document creation, or non-LLM writing.
Guide for how to develop Go apps and modules/libraries. Always use this skill when reading or writing Go code.
Guide for how to brainstorm an idea and turn it into a fully formed design.
Perform a high-level flow audit of an implementation plan, analyzing phase-to-phase dependencies, data flow consistency, ordering logic, stale artifacts, and risk assessment. Use when asked to 'audit the plan', 'check plan flow', 'review plan dependencies', 'find plan discrepancies', or 'assess plan coherence'. Do NOT use for per-phase template compliance (use /review-plan) or creating plans (use /create-plan).