new-analyzer
Guide for implementing a new AI coding agent analyzer in Splitrail to track token usage, costs, and performance metrics.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
567 skills found
Guide for implementing a new AI coding agent analyzer in Splitrail to track token usage, costs, and performance metrics.
API-first casino for AI agents on Base. Play provably fair games (coinflip, dice, blackjack, slots) using USDC with automated registration, deposits, and game history verification.
GoHighLevel workflow automation expert. Integrates with Hylo GHL API to manage workflows, API endpoints, UI navigation, and automation planning.
Transform text into professional Mermaid diagrams. Automatically handles syntax, subgraphs, and layout rules for clean flowcharts, sequence diagrams, and process maps.
Expert guidance for Django asynchronous task processing with Celery. Best practices for task design, worker configuration, error handling, periodic tasks, and production monitoring.
Automate pull request reviews with structural code analysis, blast radius assessment, and dependency impact mapping.
An autonomous AI agent loop that executes Claude Code repeatedly to build features from structured PRDs until completion.
Automate your daily Milan news digest with this Python-based briefing tool. Supports weather, strikes, world/AI/Italian news, and event scraping, featuring deduplication, RSS/API pipeline management, and AI-agent ready scheduling.
A framework for building modular AI agent rigs using Nix, featuring parametrable skills, knowledge management, and automated tool configuration.
A structured workflow for co-authoring documentation, technical specs, and proposals, guiding users through context gathering, collaborative refinement, and reader verification.
🛡️ GDPR & LGPD Privacy Guardian: Automated compliance scanner that detects PII exposure, insecure logging, and tracking violations in your codebase to prevent regulatory fines.
Captures session learnings into Reusable Intelligence Infrastructure (RII). Converts one-time bug fixes and pattern discoveries into permanent agent-executable knowledge to prevent recurrence and accelerate future development.