Observed Signal · Mar 30, 2026 · Technical Release · Source: Nates Substack · Impact: 4/5 · Sentiment: Positive
Make AI Skills Persistent for Agentic Workflows
The article explains that AI "Skills"—small, shareable files that codify procedures—have shifted from a personal prompting shortcut to an organizational, agent-invoked standard. Anthropic added Skills into Excel and PowerPoint sidebars on March 11; the skills format has been adopted across vendors (OpenAI, Microsoft, GitHub, Cursor) and the author says ~500,000 skills now run interoperably. Key changes: agents call skills autonomously, admins can provision skills across organizations, and the same skill files run in developer terminals and productivity apps (M365). The author outlines architectural patterns (progressive disclosure, specialist stack, orchestrator), explains why conventional skill design fails for agentic use, prescribes five elements every skill body needs, and offers four prompts and practical tests to make skills agent-ready. The piece also includes access to a skills repository and team-deployment guidance.
Cross-vendor adoption of a Skills format and integration into major productivity apps shifts AI from individual prompting to agent-driven, organization-wide automation—affecting governance, martech workflows, and how teams operationalize LLM-based agents.
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Key Takeaways & Evidence Grounding
- Anthropic added Skills into the sidebars of Excel and PowerPoint on March 11.
- The skills format has been adopted across vendors including OpenAI, Microsoft, GitHub, and Cursor.
- The author reports ~500,000 skills running across platforms interoperably.
- Agents now invoke skills autonomously and team admins can provision skills across organizations.
- The article outlines architectural patterns (progressive disclosure, specialist stack, orchestrator) and provides four prompts and tests to create agent-ready skills.
Connected Companies & Entities
4 Entities mappedOntology Mapping & Concepts
Related Market Signals & Shifts
Recent verified developments and strategic activity across this market segment.
Open Skills Library: Making Agent Workflows Portable
A Substack essay argues that AI agent 'skills'—the procedural knowledge encoded as prompts, runbooks, SKILL.md files and configs—are becoming trapped inside vendor tools (Claude, Codex, Cursor, ChatGPT), creating repeated rebuild costs when teams switch platforms. The author launches "Open Skills," a public library of agent skills and runbooks designed to be visible, movable, inspectable and installable across tools. The piece explains how skills differ from memory and prompts, lists four failure modes that create long-term debt, provides a "work package" checklist to prove ownership of a skill, and demonstrates rebuilding a support-billing workflow that travels across Claude Code, Codex and Cursor. The author frames skill portability as practical work for 2026 that avoids new subscriptions by making existing workflows portable.
AgentSkills: Teach AI Agents How to Execute Tasks
The article describes a gap in many LLM-based agent applications: agents often know what to do but not how to do it reliably. It introduces AgentSkills (aka Procedure Skills) — self-contained, structured playbooks (commonly formatted as SKILL.md) that bundle YAML frontmatter, step-by-step execution instructions, small automation scripts, domain resources, and output templates. The author explains why embedding full procedures in large system prompts fails (fragility, token waste, inconsistency) and advocates progressive disclosure: a discovery phase that loads only skill names/descriptions and an activation phase that loads full skill assets when a match occurs. The piece gives design principles for effective skills (imperative language, explicit failure states, small composable units) and explains when skills materially improve agent reliability and cost-efficiency. Published May 6, 2026 by Sreeni Ramadorai on DEV Community.
AI 'Skills' Power Repeatable Marketing Automation
The article explains how 'skills'—small bundles of files (including a SKILL.md) that teach an AI assistant to perform a repeatable marketing task—are the next layer of marketing automation. It compares implementation across Claude, ChatGPT and Gemini, notes org-level deployment in Claude for Work/Enterprise to avoid version drift, and shows how agencies can fork, brand and deploy open-source skills hosted on GitHub. As a worked example, Optmyzr published a free Apache‑2.0 Google Ads audit skill (github.com/optmyzr-skills/google-ads-audit) that runs ~42 checks across 14 categories, supports a CSV paste flow, and can integrate with Optmyzr’s paid MCP server for live account access and automation.
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