RevenueCat SDK entegrasyon pattern'leri. iOS (Swift), Android (Kotlin), React Native ve Flutter icin setup, offerings, entitlement checking, webhook integration, StoreKit 2 migration ve sandbox testing.
原文の言語: 判定不能
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このリポジトリの skills
SkillsMP は vibeeval/vibecosystem から 330 件の skill を収集しています。skill を開くとソースと詳細を確認できます。
vibeeval/vibecosystem収集済み skill 330 件中 40 件を表示しています。
RevenueCat SDK entegrasyon pattern'leri. iOS (Swift), Android (Kotlin), React Native ve Flutter icin setup, offerings, entitlement checking, webhook integration, StoreKit 2 migration ve sandbox testing.
原文の言語: 判定不能
Abonelik fiyatlama stratejileri. 3-tier framework, price anchoring, charm pricing, regional pricing (18 ulke), introductory offers, win-back campaigns, churn prevention ve A/B testing methodology.
原文の言語: 英語
Use this skill when context compression is imminent, when resuming a session, or when preserving critical decisions across long tasks. Provides a durable notepad that survives compaction and lets any agent pick up exactly where the previous context left off.
原文の言語: 英語
Dynamic model selection based on task complexity scoring. Replaces static model mappings with a weighted signal system that picks Opus, Sonnet, or Haiku-class speed per task. Works with agent-assignment-matrix.md.
原文の言語: 英語
Security-focused differential code review with blast radius analysis, risk-adaptive depth (DEEP/FOCUSED/SURGICAL), git history correlation, and structured finding format. Adapted from Trail of Bits. Use when reviewing PRs, commits, or code changes for…
原文の言語: 英語
Systematic false positive verification for security findings. Provides structured methodology to confirm or dismiss scanner results, manual audit findings, and automated alerts. Adapted from Trail of Bits. Use when triaging security scan results or verifying…
原文の言語: 英語
Detect fail-open configurations, hardcoded secrets, weak authentication defaults, permissive CORS, disabled security features, and other insecure-by-default patterns. Adapted from Trail of Bits. Use during security review or when auditing configuration and…
原文の言語: 英語
Property-based testing (PBT) patterns with fast-check (JS/TS), Hypothesis (Python), and gopter (Go). Generate random inputs, define invariants, shrink failures to minimal cases. Adapted from Trail of Bits. Use when testing pure functions, parsers,…
原文の言語: 英語
Identify dangerous API footguns, surprising default behaviors, and sharp edges in codebases and dependencies. Adapted from Trail of Bits. Use during code review to catch APIs that are easy to misuse, configurations that surprise, and abstractions that leak.
原文の言語: 英語
Typosquatting detection, install script analysis, dependency confusion prevention, and phantom dependency detection for npm/pip.
原文の言語: 英語
Find similar vulnerabilities across a codebase after discovering one instance. Uses pattern matching, AST search, Semgrep/CodeQL queries, and manual tracing to propagate findings. Adapted from Trail of Bits. Use after finding a bug to check if the same…
原文の言語: 英語
Framework for measuring and tracking agent response quality over time. Detects regressions before they reach production. Use when evaluating agent changes, auditing quality, or establishing performance baselines.
原文の言語: 英語
Post-implementation cleanup that removes AI-generated bloat while preserving functionality. Runs pass-by-pass with test verification after each pass. Activate after kraken/spark complete a feature, or when a codebase needs hygiene work.
原文の言語: 英語
Mathematically rigorous Socratic interview system that drives ambiguity below 20% before any code is written. One question per message, weighted ambiguity scoring, brownfield-aware, outputs a complete PRD. Replaces discovery-interview with a stricter protocol.
原文の言語: 英語
Use this skill when making any factual claim about the codebase — existence, absence, or behavior. Converts the claim-verification rule into a systematic action protocol that prevents false assertions from grep-only results.
原文の言語: 英語
Screenshot comparison QA for frontend development. Takes a screenshot of the current implementation, scores it across multiple visual dimensions, and returns a structured PASS/REVISE/FAIL verdict with concrete fixes. Use when implementing UI from a design…
原文の言語: 英語
Reverse-engineer and clone a website in one shot — extracts assets, CSS, and content section-by-section and proactively dispatches parallel builder agents in worktrees as it goes. Use this whenever the user wants to clone, replicate, rebuild,…
原文の言語: 英語
Full-stack frontend development combining premium UI design, cinematic animations, AI-generated media assets, persuasive copywriting, and visual art. Builds complete, visually striking web pages with real media, advanced motion, and compelling copy. Use when:…
原文の言語: 英語
AI browser automation - navigate, interact, extract, verify via browser-use MCP
原文の言語: 英語
Scan .claude/ directory for security misconfigurations, exposed secrets, unsafe permissions
原文の言語: 英語
Adaptive content summarization - auto-detect content type and produce relevant summary
原文の言語: 英語
Competitive intelligence - extract features, pricing, tech stack from competitor sites
原文の言語: 英語
Multi-page deep crawling - documentation sites, wikis, knowledge bases
原文の言語: 英語
Web change monitoring - track changes on pages, detect updates, changelog diffs
原文の言語: 英語
Single page smart extraction - articles, docs, blog posts to clean markdown
原文の言語: 英語
Structured data extraction - tables, pricing, products, API endpoints with schema
原文の言語: 英語
API design, versioning, testing, schema validation, and contract testing patterns for REST and GraphQL APIs.
原文の言語: 英語
Email delivery infrastructure - DNS authentication (SPF/DKIM/DMARC), subdomain isolation, provider abstraction, template systems, bounce handling, warmup strategy, and deliverability monitoring.
原文の言語: 英語
KVKK and GDPR compliance patterns - consent management, right to erasure, breach notification, audit logging, cookie consent, and data classification.
原文の言語: 英語
SaaS analytics event taxonomy, metric formulas (MRR, churn, LTV), provider-agnostic tracking, funnel analysis, cohort setup, and privacy-respecting instrumentation.
原文の言語: 英語
SaaS authentication and authorization patterns including JWT vs session strategies, multi-tenant isolation, RBAC, API key management, passwordless flows, MFA, and secure session handling.
原文の言語: 英語
Pre-launch verification across infrastructure, security, legal, payment, email, analytics, and performance. Day-1 monitoring, rollback plan, incident response skeleton, and post-launch week-1 checklist.
原文の言語: 英語
Payment provider abstraction, webhook security, subscription lifecycle, dunning flows, pricing models, invoicing, tax handling, and refund patterns for SaaS applications.
原文の言語: 英語
Automatically extract reusable patterns from Claude Code sessions and save them as learned skills for future use.
原文の言語: 英語
Instinct-based learning system that observes sessions via hooks, creates atomic instincts with confidence scoring, and evolves them into skills/commands/agents.
原文の言語: 英語
Search Mathlib for lemmas by type signature pattern using Loogle.
原文の言語: 英語
Example template for project-specific skill files covering architecture, patterns, testing, and deployment.
原文の言語: 英語
Query the memory system for relevant learnings from past sessions using semantic search.
原文の言語: 英語
Store a learning, pattern, or decision in the memory system for future recall.
原文の言語: 英語
Suggests manual context compaction at logical intervals to preserve context through task phases rather than arbitrary auto-compaction.
原文の言語: 英語