agent▌

Skill by ara.so — Daily 2026 Skills collection.

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Terminal-based RSS/Atom feed reader with discovery, search, and OPML import/export. \n \n Discover feeds from any website, subscribe to feeds with optional timeout configuration, and read articles from single or multiple feeds with caching and parallel fetching \n Search across all subscribed feeds locally or discover new feeds via web search (agent-built-in or Exa API) with auto-subscribe and read options \n Clean up broken and duplicate feeds, import/export subscriptions via OPML, and manage f

Extract a Malaysian real-estate agent's display name, full mobile phone (E.164), and email from any EdgeProp.my agent profile or listing page by parsing the inlined Next.js __NEXT_DATA__ payload — bypasses the UI's masked phone and email-form gateway.

Discovers and invokes agent skills for effective task management in engineering workflows.

Self-improving browser automation via the auto-research loop, iteratively enhancing navigation skills for specific website tasks.

Create new agent skills with proper structure, progressive disclosure, and bundled resources.

Multi-agent architectures distribute work across multiple language model instances, each with its own context window. When designed well, this distribution enables capabilities beyond single-agent limits. When designed poorly, it introduces coordination overhead that negates benefits. The critical insight is that sub-agents exist primarily to isolate context, not to anthropomorphize role division.

Trust system reminders as agent progress notifications. Don't poll.

When the user asks to implement something, use implementation agents to preserve main context.