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Found 1,958 Skills
When the user wants to audit a Google Ads account for a lead generation business — reviewing CPL, lead volume, lead quality, form conversion rates, offline conversion imports, and pipeline-focused optimization. Triggers on 'lead gen audit', 'Google Ads audit lead generation', 'CPL audit', 'audit my lead gen account', 'B2B Google Ads audit', 'lead quality audit', 'cost per lead audit', 'lead gen account review', or 'review lead generation Google Ads'. For general account audits see google-ads-account-audit. For ecommerce audits see google-ads-audit-ecommerce.
Use when the user wants a quality review, interaction audit, or to test the workflow against realistic scenarios.
Create and improve README documents for GitHub projects. Use when the user wants to write a new README, improve an existing one, audit README quality, or asks about documentation best practices for their repository.
Guides DeFi protocol security review and rug-risk assessment from public chain data, verified source, and historical patterns—covering EVM and Solana-style deployments, liquidity and tokenomics, governance centralization, bridges, exploit pattern matching, and evidence-structured audit reports. Use when the user asks for a DeFi security audit, rug risk analysis, contract vulnerability triage, LP lock verification, governance or upgrade risk, or cross-chain bridge review from observable data only.
Uses Managed Agents' 14.5-hour runtime to audit an entire codebase overnight. Security, performance, accessibility, dependency issues. You wake up to a full report.
Evaluates Claude Agent Skills on 10 quality axes with letter grades (A+ through F) and specific improvement recommendations. Use when auditing a skill, comparing skills, prioritizing improvements, or performing quality control on a skill library. Activate on "grade skill", "evaluate skill", "skill quality", "skill audit", "skill review", "rate skill". NOT for creating skills (use skill-architect), grading code quality, or evaluating non-skill documents.
Scaffold Claude Code hooks into a real project after auditing the project structure in detail. Use when a user wants Claude Code hook setup, hook refactors, full hook-event scaffolding, or managed updates to existing .claude hooks. This skill verifies the live official Claude Code hook docs first, audits the target repo, then generates a bash-first hook scaffold with a hooks README, repeatable merge behavior, and coverage for every current hook event. Trigger on: Claude Code hooks, scaffold hooks, hook events, update hooks, hook architecture, .claude/settings.json. Do NOT use for generic Git hooks, Husky-only setup, or non-Claude agents.
The Landing Page Audit skill performs comprehensive evaluations of post-click experiences, combining technical performance analysis with conversion rate optimization (CRO) assessment.
Comprehensive SEO, discoverability, and AI crawler optimization for web projects. Use for technical SEO audits, llms.txt/robots.txt setup, schema markup, social launch strategies (Product Hunt, HN, Reddit), and Answer Engine Optimization (AEO). Activate on 'SEO', 'discoverability', 'llms.txt', 'robots.txt', 'Product Hunt', 'launch strategy', 'get traffic', 'be found', 'search ranking'. NOT for paid advertising, PPC campaigns, or social media content creation (use marketing skills).
MUST be used whenever reviewing a Dune app for bugs, missing error states, unhandled promise rejections, or incorrect edge-case behaviour. Do NOT skip — run every step when the user asks for a correctness review, bug check, error handling audit, or robustness review. Triggers: correctness, error handling, bug, edge case, crash, unhandled, null, undefined, empty state, loading state, error boundary, try catch, async error, useEffect cleanup, type guard, runtime error, robustness.
PR-backed and current-main optimization manual for `moonshotai/Kimi-K2*` and `moonshotai/Kimi-K2.5*` in SGLang. Use when Codex needs to recover, extend, or audit Kimi optimizations, including K2 router/MoE fast paths, K2 thinking Marlin paths, K2.5 wrapper/multimodal/runtime plumbing, W4AFP8/W4A16 quant tracks, parser contracts, LoRA coverage, and backend-specific validation.
PR-backed and current-main optimization manual for the `MiniMaxAI/MiniMax-M2` series, including M2, M2.1, M2.5, M2.7, and M2.7-highspeed. Use when Codex needs to recover, extend, or audit MiniMax-specific optimizations, TP QK norm/all-reduce behavior, parser contracts, distributed runtime behavior, quantized loading, or backend-specific validation.