productivity▌

Skill by ara.so — Daily 2026 Skills collection.

Comprehensive code review for diffs with auto-detected domain-specific checks. \n \n Analyzes changed code for security vulnerabilities, anti-patterns, quality issues, and breaking changes across generic, frontend, and backend domains \n Auto-detects domain (frontend, backend, CLI, config) from file paths and applies relevant checklists \n Generates structured markdown reports with severity levels, file locations, code snippets, and actionable recommendations \n Performs impact analysis to ident

STRING is a comprehensive database of known and predicted protein-protein interactions covering 59M proteins and 20B+ interactions across 5000+ organisms. Query interaction networks, perform functional enrichment, discover partners via REST API for systems biology and pathway analysis.

Streamline Claude Code memory files through 4 interactive optimization steps. \n \n Removes duplicate entries already present in CLAUDE.md or rules files, then migrates remaining entries to appropriate persistent config locations \n Compresses remaining memory entries using LLM-efficient formatting (prose to tables, verbose descriptions to imperatives) \n Validates final state by checking for broken references, contradictions, and orphaned files \n Typical reduction of 30–50% token count in memo

Expert guidance for building .NET 8 applications with clean architecture, minimal APIs, and cloud-native patterns. \n \n Covers minimal APIs, Entity Framework Core, CQRS with MediatR, JWT authentication, and AOT compilation for .NET 8 \n Enforces async/await patterns, nullable reference types, record DTOs, and clean architecture layer separation \n Includes reference guides for minimal APIs, clean architecture, Entity Framework, authentication, and cloud-native deployment \n Provides code exampl

Create and checkout git branches with smart validation and GitHub issue integration. \n \n Automatically links branches to GitHub issues when an issue number is provided, using gh issue develop for seamless project tracking \n Intelligently applies semantic prefixes (feature/, bugfix/, hotfix/, chore/, docs/) based on keywords in the branch name \n Validates branch names for kebab-case formatting, forbidden characters, length limits, and duplicate detection across local and remote branches \n De

Detects timing side-channel vulnerabilities in cryptographic code across 12 languages. \n \n Analyzes assembly or bytecode to flag variable-time operations (division, secret-dependent branches, weak RNG, table lookups by secret index) that leak secret data through execution timing \n Supports C, C++, Go, Rust, Swift, Java, Kotlin, C#, PHP, JavaScript, TypeScript, Python, and Ruby with language-specific analysis guides \n Offers cross-architecture and optimization-level testing for compiled langu

Scans TON smart contracts for 3 critical vulnerabilities: integer-as-boolean misuse, fake Jetton contracts, and unsafe gas forwarding. \n \n Detects FunC contracts via file extensions ( .fc , .func ) and TON project structure (Blueprint, toncli configs) \n Identifies three vulnerability patterns: missing sender validation in Jetton handlers, incorrect boolean logic using positive integers instead of -1/0, and forward TON amounts without gas checks \n Provides detailed findings with vulnerable co

Identify and optimize for featured snippets, People Also Ask boxes, knowledge panels, and rich results on target keywords. \n \n Covers 10 SERP feature types with specific content formats and schema markup requirements (paragraph/list/table snippets, PAA, knowledge panels, FAQ/HowTo/Review rich results) \n Includes a prioritization matrix to assess traffic impact and effort for each feature, plus combination patterns when multiple features appear together \n Provides step-by-step audit and optim

Measure code exercised during fuzzing to assess harness effectiveness and identify blockers. \n \n Supports LLVM, GCC, and Rust instrumentation with step-by-step workflows for building coverage-instrumented binaries and executing them against fuzzing corpora \n Provides detailed guidance on generating text and HTML reports using llvm-cov, gcovr, and cargo-fuzz, including filtering harness code and handling large codebases \n Includes practical patterns for identifying magic value checks, handlin