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Found 373 Skills
Use when planning A/B tests in LaunchDarkly, Optimizely, or similar platforms. Sizes the experiment (sample size, MDE, runtime), drafts hypothesis + success metrics + guardrails, and produces a launch checklist + rollback plan.
Standalone quality review for Elastic integrations. Classifies files by domain, loads domain-specific skills and review checklists, applies cross-domain consistency rules, CEL version verification, API conformance, and severity calibration. Input-agnostic: works on local packages, PR diffs, or branch comparisons. Use when reviewing integration quality independently of any build or fix workflow.
Plan and execute earned media outreach and journalist relationships by producing a Media Relations Pack (newsworthiness brief, media list, exclusive/embargo plan, pitch templates, outreach tracker, interview prep, press materials checklist). Use for PR, media outreach, press pitch, embargo, exclusive, press release, and journalist pitching. Category: Marketing.
Review influencer/creator agreements for content rights, exclusivity, FTC compliance (16 CFR 255), AI/Synthetic Media consent, whitelisting/paid usage, and platform-specific requirements. Covers: Instagram, TikTok, YouTube. Includes AI Influencer/Virtual Influencer guidance. Triggers: (1) 'check contract' → checklist review, (2) 'advise' / 'review' → full consultation with playbook, (3) 'generate' / 'template' → Skala template URL. Jurisdiction: New York, USA.
Guidance on Python code style optimization and Pythonic idioms; Based on the complete content of *One Python Craftsman* and the "Friendly Python" concept, covering variable naming, control flow, data types, container types, function design, exception handling, decorators, file operations, and SOLID principles; Providing user-friendly and maintainer-friendly design patterns, review checklists, and over 140 practical templates
Pre-ship audit checklist for Ethereum dApps built with Scaffold-ETH 2. Give this to a separate reviewer agent (or fresh context) AFTER the build is complete. Covers only the bugs AI agents actually ship — validated by baseline testing against stock LLMs.
Scans code against 17 named design smells and produces a structured diagnostic report. Use when reviewing a PR for design quality, evaluating unfamiliar code against a comprehensive checklist or when the user asks for a red flags scan. Not for diagnosing why code feels complex (use complexity-recognition) or evaluating whether a PR maintains design trajectory (use code-evolution).
Execute PostHog production deployment checklist and rollback procedures. Use when deploying PostHog integrations to production, preparing for launch, or implementing go-live procedures. Trigger with phrases like "posthog production", "deploy posthog", "posthog go-live", "posthog launch checklist".
Agent Skill for Swift architecture design and implementation patterns, with architecture-specific playbooks and review checklists. Use when designing new features, refactoring existing modules, reviewing pull requests, or debugging maintainability issues in SwiftUI/UIKit projects and you need concrete guidance for MVVM, MVI, TCA, Clean Architecture, VIPER, or Reactive patterns.
Security checklist for Solidity AMM contracts, liquidity pools, and swap flows. Covers reentrancy, CEI ordering, donation or inflation attacks, oracle manipulation, slippage, admin controls, and integer math.
Builds a structured ransomware incident response playbook aligned with the CISA StopRansomware Guide and NIST Cybersecurity Framework. Covers preparation, detection, containment, eradication, recovery, and post-incident phases with actionable checklists. Activates for requests involving ransomware response planning, CISA compliance, incident response playbook creation, or ransomware preparedness assessment.
Ultra-lightweight channel for refactor processes - used when changes are clearly too small to go through the full scan → design → apply three-stage workflow. AI directly identifies 1-3 low-risk optimization points, confirms with the user once, modifies in-place using classic methods, and validates itself by running tests. No scan checklist, no design documentation, no multi-step human verification required. Trigger scenarios: User says "quick refactor", "small refactor", "simply optimize XX function", "modify directly", "skip the extra steps", and the scope of changes is clearly localized to a single function / single component with test coverage for self-validation.