Here's what "Skills" actually means on each platform: Claude: Full code execution in a sandbox. Works across Claude. ai, Claude Code, the API, and the Agent SDK. Ships scripts. Persists across sessions. The deepest implementation. Perplexity: Same SKILL. md format running
AGENTS
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Industry-wide adoption of the SKILL.md format for AI agents
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Within months, the adoption list grew: → Perplexity adopted the format for Computer Skills (March 2026)
→ OpenAI adopted it for Codex CLI
→ Cursor adopted it
→ Windsurf adopted it
→ GitHub Copilot adopted it 30+ agents now support the same SKILL. md format. Anthropic -
Anthropic Introduces Claude Skills and Open Agent Standard
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October 2025: Anthropic launches Claude Skills. A folder with a SKILL .md file, YAML frontmatter, optional scripts. Claude auto-loads them based on relevance. No manual trigger needed. December 2025: Anthropic publishes the format as an open standard. Any agent can adopt it.
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QuantClaw: Dynamic Precision for Cost-Aware AI Agents
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What if your AI agent could decide how much brainpower to use for each task, saving you money and time? Researchers from Huawei, National University of Singapore, and USTC present QuantClaw, a plug-and-play plugin that dynamically assigns low precision for simple jobs and high
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Context Engineering for Multi-Agent Systems Architecture
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"Context Engineering for Multi-Agent Systems: Move beyond prompting to build a Context Engine, a transparent architecture of context and reasoning" — at https://
amzn.to/448dSiA v/ @PacktDataML 𝓦𝓱𝓪𝓽 𝓨𝓸𝓾 𝓦𝓲𝓵𝓵 𝓛𝓮𝓪𝓻𝓷:
Develop memory models to retain short-term and -
Representing AI agents as state for improved persistence
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maybe you can’t just tack statefulness onto an agent, you have to figure out how to represent the agent as a state
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Anthropic releases engineering guide for building effective AI agents
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4/ Building Effective Agents – by @Anthropic Core principles for designing agents that are dependable and efficient. → https://
anthropic.com/engineering/bu
ilding-effective-agents
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OpenAI Releases Comprehensive Guide to Building AI Agents
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3/ A Practical Guide to Building Agents – by @OpenAI A comprehensive, step-by-step guide from OpenAI on creating and deploying AI agents. → https://
cdn.openai.com/business-guide
s-and-resources/a-practical-guide-to-building-agents.pdf
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Technical challenges in stateful AI agents and memory management
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yeah they do cool stuff around memory. starting to think stateful goes beyond that to tracking changes in the agents capability, etc which I’m not sure if many memory tools do
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Architectural challenges in building AI agent loops
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agree. kinda feels like we’re tacking on memory, tools, traces, logs into agent loops but there should be an elegant way to combine them, also relying on crons or heartbeat loops also feels hack