productivity▌

Skill by ara.so — Daily 2026 Skills collection

Parse application logs to identify errors, performance issues, and security anomalies. \n \n Supports multiple log formats including Apache, Nginx, application logs, and JSON with grep-based pattern matching \n Covers error debugging, performance analysis (response times, throughput), security audits (SQL injection, XSS, brute force), and incident response \n Includes pre-built grep patterns for HTTP error codes, time-based analysis, IP-based traffic analysis, and suspicious access patterns \n R

Build and validate Snowflake semantic views using Snowflake CLI with guided DDL creation and testing. \n \n Handles the complete semantic view lifecycle: drafting DDL, populating synonyms and comments from Snowflake table metadata, validating against Snowflake via CLI, and executing final CREATE or ALTER statements \n Requires one-time Snowflake CLI installation and connection setup; confirms prerequisites before proceeding with validation \n Validates all DDL against Snowflake using temporary v

Universal API for orchestrating multiple AI coding agents in sandboxed environments. \n \n Supports four coding agents (Claude Code, Codex, OpenCode, Amp) with a unified schema for responses, events, and session management \n Deploy locally or to cloud sandboxes including E2B, Daytona, Docker, Vercel, and Cloudflare with environment-specific configuration \n Stream agent events, manage session persistence across multiple backends (in-memory, SQLite, Postgres, IndexedDB), and handle human-in-the-

Minimize total codebase size by systematically identifying and removing unnecessary code. \n \n Focuses on final code amount, not effort or churn; a 50-line addition that deletes 200 lines is a win \n Requires loading a reference mindset from the skill's philosophy directory before proceeding \n Applies three core questions: what's the smallest codebase that solves this, does the change reduce total code, and what can be deleted as a result \n Flags common traps like status quo bias, premature f

$22

Portfolio risk measurement with VaR, CVaR, Sharpe, Sortino, and drawdown analysis. \n \n Covers 15+ risk metrics across volatility, tail risk, drawdown, and risk-adjusted return categories with parametric, historical, and Cornish-Fisher VaR methods \n Includes rolling window analysis, portfolio-level calculations with marginal risk contribution and risk parity optimization, and stress testing against historical crises or hypothetical shocks \n Supports Monte Carlo simulation with elevated volati

Safe, reversible database schema changes for production systems. \n \n Covers PostgreSQL, MySQL, and five major ORMs (Prisma, Drizzle, Django, TypeORM, golang-migrate) with workflow examples and schema patterns for each \n Enforces core principles: immutable deployed migrations, forward-only production rollbacks, and separation of schema (DDL) from data (DML) migrations \n Provides the expand-contract pattern for zero-downtime column renames and large refactors, with concrete timeline examples \

Write correct n8n expressions with double braces, proper variable syntax, and webhook data access patterns. \n \n Use {{}} syntax for all dynamic content; access current node data with $json , other nodes with $node[\"Node Name\"] , and webhook payloads from $json.body (not root) \n Node names are case-sensitive and require quotes; field names with spaces use bracket notation like $json['field name'] \n Code nodes use direct JavaScript access without {{}} braces; expressions don't work in webhoo

Discover and filter URLs on a website, with optional search to locate specific pages. \n \n Supports filtering by search query to find pages matching keywords within large sites \n Includes sitemap handling strategies (include, skip, or use only) and optional subdomain inclusion \n Outputs results as plain text or JSON with configurable URL limits \n Commonly paired with firecrawl-scrape: use map with search to find the target URL, then scrape it \n