productivity▌

Advanced vulnerability analysis aligned with OWASP 2025, supply chain threats, and risk prioritization frameworks. \n \n Covers OWASP Top 10:2025 including new categories for supply chain security (A03) and exceptional conditions (A10), with threat modeling questions and attack vector mapping \n Provides attack surface mapping methodology, CVSS/EPSS-based risk prioritization, and a four-phase scanning approach (reconnaissance, discovery, analysis, reporting) \n Includes code pattern analysis for

Skill by ara.so — Daily 2026 Skills collection.

You diagnose naming problems and guide the creation of names that work. Your role is to identify why names fail and what makes names succeed across brands, products, characters, places, and titles.

Map git repository ownership to people and files, compute bus factor for sensitive code, and export graph artifacts for visualization. \n \n Builds a bipartite people-to-file ownership graph from git history with optional co-change clustering (Jaccard similarity) to identify files that move together \n Flags sensitive code paths (auth, crypto, secrets) by default; customize with a CSV config and query by tag, bus factor, or staleness \n Outputs CSV nodes/edges, JSON summaries (orphaned sensitive

Intelligently organizes files and folders by analyzing structure, finding duplicates, and proposing logical reorganization plans. \n \n Analyzes directory structure, identifies file types and sizes, and detects organization problems before making changes \n Finds exact and near-duplicate files using hash comparison and filename matching, with confirmation required before deletion \n Proposes context-aware folder structures based on file types, purpose, and date ranges, then executes moves and re

Expert guidance on prompt optimization, LLM evaluation, and agentic system design for production AI applications. \n \n Covers advanced prompt engineering patterns, few-shot learning, chain-of-thought techniques, and structured output design for Claude, GPT-4, and other LLMs \n Includes RAG optimization frameworks, LLM evaluation methodologies, and performance tuning strategies with reference documentation \n Provides agentic system design principles, multi-agent orchestration patterns, and depl

This skill provides frameworks for navigating difficult workplace conversations and delivering effective feedback. Whether you're addressing performance issues, resolving conflicts, or giving constructive feedback, these structured approaches lead to better outcomes.

Three-layer parallel analysis of Rust questions across language mechanics, design patterns, and domain constraints. \n \n Executes in parallel agent mode (when layer analyzer files exist) or sequential inline mode, synthesizing results into domain-correct architectural solutions \n Analyzes ownership, borrowing, lifetimes, and error codes at the language layer; evaluates smart pointers, interior mutability, and design trade-offs at the design layer; and applies domain-specific requirements (FinT

Evaluate financial impact of pricing changes using ARPU, conversion, churn, and payback analysis. \n \n Quantifies revenue lift, conversion risk, churn impact, and CAC payback for price increases, new tiers, add-ons, usage-based pricing, discounts, and packaging changes \n Models three scenarios (conservative, base, optimistic) and identifies go/no-go decisions with supporting math \n Recommends implementation, A/B testing, modified approaches, or holding pricing based on net revenue impact and

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