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Found 1,929 Skills
Analyze an influencer's recent content and return a brand safety report flagging political controversy, offensive language, sensitive topics, or past scandal indicators. This skill should be used when screening a creator for brand safety, vetting influencer content for risks, checking if a creator is brand-safe, auditing an influencer's content history for red flags, running a brand safety check on a creator, evaluating creator risk before a partnership, flagging controversial creator content, reviewing an influencer for offensive language or sensitive topics, or doing a pre-campaign safety review. For holistic creator evaluation including performance metrics, see creator-vetting-scorecard. For writing campaign briefs with content guidelines and safety clauses, see campaign-brief-generator.
Analytical thinking patterns for comprehensive evaluation, code audits, security analysis, and performance reviews. Provides structured templates for thorough investigation with extended thinking support.
Analyzes Java code against industry best practices and evaluates design principles including SOLID, exception handling, thread safety, and resource management. Reviews naming conventions, Stream API usage, Optional patterns, and general code quality. Use when reviewing Java files, checking code quality, evaluating exception handling, or auditing resource management.
Add memories, learnings and context to OpenViking, aka. ov. Use when saving insights in chat. Trigger this tool when 1. sees keyword "ovm"; 2. is explicitly requested memorizing e.g. "remember ..." 3. identifies valuable memory worth adding
Meta Ads deep analysis covering Facebook and Instagram advertising. Evaluates 46 checks across Pixel/CAPI health, creative diversity and fatigue, account structure, and audience targeting. Includes Advantage+ assessment. Use when user says "Meta Ads", "Facebook Ads", "Instagram Ads", "Advantage+", or "Meta campaign".
Identify the first beachhead market segment for a product launch. Evaluates segments against burning pain, willingness to pay, winnable market share, and referral potential. Use when choosing a first market, targeting an initial customer segment, or planning market entry strategy.
Nonprofit/NGO impact report generation with data visualization suggestions, outcome metrics, narrative structure, and program data presentation. Use when writing impact reports, annual reports, or program evaluation summaries.
Proper handling of files generated during the MSBuild's build process. Only activate in MSBuild/.NET build context. Use when generated files are not being included in compilation, output, or when globs aren't capturing generated files. Covers MSBuild evaluation vs execution phases, timing targets to include generated files, and ensuring generated files are tracked for incremental builds and clean.
Train your own GPT-2 level LLM for under $100 using nanochat, Karpathy's minimal hackable harness covering tokenization, pretraining, finetuning, evaluation, inference, and chat UI.
Architectural decision-making framework. Requirements analysis, trade-off evaluation, ADR documentation. Use when making architecture decisions or analyzing system design.
Use this skill when building production LLM applications, implementing guardrails, evaluating model outputs, or deciding between prompting and fine-tuning. Triggers on LLM app architecture, AI guardrails, output evaluation, model selection, embedding pipelines, vector databases, fine-tuning, function calling, tool use, and any task requiring production AI application design.
Use this skill when working with PostHog - product analytics, web analytics, feature flags, A/B testing, experiments, session replay, error tracking, surveys, LLM observability, or data warehouse. Triggers on any PostHog-related task including capturing events, identifying users, evaluating feature flags, creating experiments, setting up surveys, tracking errors, and querying analytics data via the PostHog API or SDKs (posthog-js, posthog-node, posthog-python).