agent▌

Establish AI agent environment policies, security guardrails, and team configuration standards. \n \n Configure project description files as AI manuals with tech stack, coding standards, and DO NOT rules; use /init for auto-generation from codebase analysis \n Set up security hooks to block dangerous commands (rm -rf, sudo, curl | sh) and auto-approve only safe operations via PreToolUse and PostToolUse events \n Define skills, slash commands, and plugins with token efficiency in mind; skills loa

Comprehensive evaluation framework for designing, building, and monitoring AI agent performance across coding, conversational, research, and computer-use agents. \n \n Covers three grader types (code-based, model-based, human) with trade-offs and best practices for each agent category \n Provides an 8-step roadmap from initial task creation through production monitoring, including environment isolation, outcome-focused grading, and saturation detection \n Includes benchmarks for major agent type

Conversational AI video creation agent that plans, generates, and delivers finished videos from natural language descriptions. \n \n Supports short-form video output (5–60 seconds) in three aspect ratios: 16:9, 9:16, and 1:1, suitable for YouTube, TikTok, Instagram, and other platforms \n Accepts reference materials including product photos, brand assets, style examples, and audio files to guide creative direction and visual consistency \n Engages in multi-turn dialogue, asking clarifying questi

Refactor bloated agent instruction files into organized, linked documentation using progressive disclosure. \n \n Analyzes existing AGENTS.md, CLAUDE.md, or similar files to identify contradictions, extract essentials, and categorize remaining instructions across 3–8 focused topic files \n Keeps root file minimal (under 50 lines) with only universal project info and links to detailed guidelines organized by topic (TypeScript, testing, code style, git workflow, architecture) \n Flags redundant, v

Skill by ara.so — Daily 2026 Skills collection.

agent-memory