Agent Skills Hub

parallel-agents

Orchestrate complex workflows by coordinating multiple specialized AI agents for multi-perspective code analysis, feature implementation, and system-wide reviews.

ui

Generates UI components, hero sections, and feedback forms with integrated accessibility checks, leveraging specialized design references and quality gates.

tool-creator

Meta-skill for building, managing, and hot-reloading AnimaWorks Python external tools, including dispatchers, credential management, and permissions.

digest

Create curated news, tech, and research paper digests using high-quality sources. Perfect for daily roundups, topic tracking, and filtering noise.

with-context-agent

Lints, validates, and auto-fixes AI agent configuration files like SKILL.md, CLAUDE.md, and MCP configs.

recruiter

Act as a skeptical technical recruiter to evaluate daily.dev Recruiter features. Review UI/UX, code, and workflows through the lens of a hiring platform built for high-quality developer-recruiter matching.

hipocampus-flush

Manually triggers a Hipocampus memory flush to persist current session context to raw logs and initiate the compaction tree process for long-term agent memory maintenance.

openai-agents-sdk

Build AI agents with the OpenAI Agents SDK for Python. Supports multi-agent handoffs, function tools, stateful sessions, streaming, and Azure OpenAI integration via LiteLLM.

performance-marketing-agent

AI performance marketing agent for Google, Meta, LinkedIn, and TikTok ads. Automate keyword research, budget management, ROAS tracking, and cross-platform reporting via natural language.

always-works-testing

Mandatory execution-based validation for all software implementation tasks. Ensures code works through empirical verification before confirmation.

linear-issue-creator

Creates structured Linear issues (main + sub-issues) with automated project linking, title prefixes, labeling, and PRD-aligned content workflows for fullstack developers.

vm-dev

Virtual machine development expert focusing on bytecode design, stack-based/register-based VM implementation, memory management, and garbage collection.