🤖
AI EngineeringPython

Agentlas Auto-Activation

by agentlas-ai

Agentlas Auto-Activation is an AI Engineering skill for Claude Code, published by agentlas-ai in Agentlas-OS.

1.2K stars116 forkson agentlas-ai/Agentlas-OSAdded 2026/08/20Repository updated 2026/08/20
View source on GitHubDownload repo ZIP
a2aagentagent-frameworkagent-os-desktopagent-skillsagentic-aiagentic-workflowagentosagentsagents-teamagentshubai-agentsautonomous-agentsllmllm-agentsllm-toolsmcpmulti-agent-systemsochestration
Install in seconds
Install Agentlas Auto-Activation
Copy Agentlas Auto-Activation into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.
terminal
npx degit https://github.com/agentlas-ai/Agentlas-OS/tree/main/skills/agentlas-auto-activation ~/.claude/skills/agentlas-auto-activation

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/agentlas-ai/Agentlas-OS.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file
skills/agentlas-auto-activation/SKILL.md in agentlas-ai/Agentlas-OS
Installs to
~/.claude/skills/agentlas-auto-activation
Collection
One of 25 skills cataloged from this repository
Category
AI Engineering — 2451 skills

What Agentlas Auto-Activation does

Agentlas Auto-Activation turns a project folder into an Agentlas-aware workspace with .agentlas memory and sitemap files. Use it when adding or auditing local runtime behavior that activates project continuity.

Agentlas Auto-Activation is cataloged under AI Engineering on DirSkills. Agentlas Auto-Activation comes from a repository tagged a2a, agent, agent-framework, agent-os-desktop and agent-skills.

Frequently asked about Agentlas Auto-Activation

  • What else does agentlas-ai publish alongside Agentlas Auto-Activation?

    Agentlas Auto-Activation is one of 25 skills that DirSkills catalogs from agentlas-ai/Agentlas-OS, the repository it ships in. Its siblings there include Agent Team Design, Agentlas and Agentlas Browser. Each one is a separate skill with its own page in this directory, installs the same way Agentlas Auto-Activation does, and is maintained by agentlas-ai in that same repository. The rest of the collection is listed on the agentlas-ai/Agentlas-OS page.

  • How does Agentlas Auto-Activation compare to other AI Engineering skills?

    Agentlas Auto-Activation ranks #1203 by stars among the 2451 AI Engineering skills in this catalog. The most-starred ones next to it are Architecture Decision Records, AI-First Engineering and Agentic OS. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of Agentlas Auto-Activation against them. Open each page to compare what they document and how they install.

More from agentlas-ai/Agentlas-OS

Agentlas Auto-Activation is one of 25 skills cataloged on DirSkills from agentlas-ai/Agentlas-OS.

See all 25 skills →
🤖
2w ago

Agent Team Design

Agent Team Design defines agent teams, role boundaries, handoffs, memory owners, policy owners, and evaluation roles for multi-agent systems. Use it when creating a new team, a meta-agent, or an agent operating system repository.
AI Engineering
1.2K116
🤖
2w ago

Agentlas

Agentlas provides a single entry point for all Agentlas commands, including staffing federated workforces, building agent teams, running DAG graphs, browser automation, and searching agent catalogues. Use it when orchestrating multi-agent systems.
AI Engineering
1.2K116
🌐
2w ago

Agentlas Browser

Agentlas Browser runs headless browser interactions via CDP for Agentlas tasks, such as rendering pages, completing form flows, and capturing visual evidence when a URL or query requires a real browser.
Automation
1.2K116
🤖
2w ago

Agentlas Build

Agentlas Build designs, assembles, and packages installable single agents or multi-agent teams. Use it after /agentlas-build, /agentlas build, or /hep-build to classify mode, interview requirements, author routing card and soul, generate runtime adapters, and verify the package.
AI Engineering
1.2K116
🤖
2w ago

Agentlas Call

Agentlas Call invokes named Agentlas Hub or Cloud agents attached to the current project. Use it when you type /agentlas-call <agents> <context>, /agentlas call, or /hep-call to borrow and execute those agents.
AI Engineering
1.2K116
☁️
2w ago

Agentlas Cloud Workforce

Agentlas Cloud Workforce staffs specialist roles from the owner's private Agentlas Cloud packages. It is triggered by the /agentlas-cloud, /agentlas cloud, or /hep-cloud commands.
AI Engineering
1.2K116

More AI Engineering skills

Agentlas Auto-Activation is one of 2451 AI Engineering skills cataloged on DirSkills, ranked #1203 by stars among them.

Browse all AI Engineering skills →
📐
3w ago

Architecture Decision Records

Architecture Decision Records captures architectural decisions made during Claude Code sessions as structured ADRs, recording context, alternatives, and rationale. Use it when significant technical choices are made so future developers understand why the codebase is shaped the way it is.
AI Engineering
239.8K36.4K
🤖
3w ago

AI-First Engineering

AI-First Engineering defines process, review, and architecture standards for teams where AI agents produce most implementation output. Use it to set ownership rules, quality gates, and evaluation criteria for agent-generated code.
AI Engineering
239.8K36.4K
🤖
3w ago

Agentic OS

Agentic OS codifies a persistent multi-agent operating system architecture for Claude Code. Use it when building a multi-agent workflow with file-based memory, slash commands, and scheduled automation that survives session restarts.
AI Engineering
239.8K36.4K