manage-ai-agents
Skill2 starsChanged 43 days agoNo licenceView on GitHub
Create, update, inspect, or delete Neptune DXP AI agents — the chat, task and Agentic Apps agents built in Naia Agent Studio — via the MCP tools `list_ai_agents`, `get_ai_agent`, `save_ai_agent`, `delete_ai_agent`. Use when the user wants to build an agent, write or change its instructions (system prompt), pick or switch its model, attach or remove AI tools, MCP connections or knowledge tables, set guardrails, roles, memory, reasoning, compaction, structured output or step limits, enable an agent for Agentic Apps, see where an agent is used, or remove one. Trigger phrases include "create an agent", "new AI agent", "system prompt", "change the instructions", "add this tool to the agent", "Agentic Apps agent", "structured output agent", "JSON classifier agent", "which apps use this agent", "delete the agent". Read this BEFORE any `save_ai_agent` payload — instructions are versioned, relation arrays are replaced wholesale, and an Agentic Apps agent needs a different payload than a chat agent.
In this repository19 other files it gives its agents.
- CLAUDE.mdCLAUDE.md
- agentic-appsSkill
- connectionSkill
- dxp-overviewSkill
- inspect-system-logsSkill
- manage-adaptiveSkill
- manage-ai-modelsSkill
- manage-ai-toolsSkill
- manage-apisSkill
- manage-appsSkill
- manage-npm-modulesSkill
- manage-process-flowsSkill
- manage-remote-systemsSkill
- manage-server-scriptsSkill
- manage-tablesSkill
- manage-vaultSkill
- manage-webappsSkill
- run-server-scriptSkill
- search-docsSkill
The file
We split this skill into the rules it gives an agent
8 rules. About 0 are common, 3 are distinctive, and 5 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈3
Distinctive · estimate
This author's own choices. Worth a look.
5
Very specific
Tied to their project's names, files or tools. Probably skip.
No licence file, so all rights are reserved — read it at the source. We count its rules but don't quote them. Read them on GitHub.
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Does it work?
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Your trail
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Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.