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Designing an LLM-based conversational assistant v1.0.0
Use this resource to design the architecture of an LLM-based conversational assistant
New
- 424 downloads
- 207 likes
- 196 saves
Free
Install with the CLI
In a terminal, from the folder you want:
npx --yes palatekit@latest install conversational-assistant-designWith no option, the skill goes to ~/.agents/skills/; add --agent claude-code (or codex, cursor…) to target an agent.
First time: connect the CLI with
npx --yes palatekit@latest loginThe agent defines conversation context management, response generation and the integration of the language model into your application. You get an assistant architecture with its requirements and implementation resources.
Mostly picked by
Updated November 2, 2026
Previews
Details
- Install guides
- Generates with
- Your agent's model
- Licence
- MIT
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What you get
- resources/implementation-playbook.md: assistant implementation guide
- SKILL.md: requirements, conversation context and LLM integration
Good fit for
- You want to add a chatbot to your customer service
- Your assistant loses track in long conversations
Not for
Tags
- ai assistant
- llm
- chatbot
About
You say
“Design a support assistant that answers from our help center and keeps the conversation context.”
Skill published by rmyndharis under the MIT license, delivered in its original version.
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How to use it
- Install the skill in your agent's skills folder
- Ask your agent to design the architecture of an LLM-based conversational assistant
- Review and adjust the result
Content preview
Files
- LICENSE1 KB
- NOTICE-PALATEKIT.md0.5 KB
- resources/implementation-playbook.md41.2 KB
- SKILL.md1.4 KB
Origin and licence
Listed unmodified
- Author
- rmyndharis
- Source
- github.com/rmyndharis/antigravity-skills/tree/364ea63c190fcf7cac035f7fa91f0406fa392584/skills/llm-application-dev-ai-assistant
- Licence
- MIT
Notice
« llm-application-dev-ai-assistant » (rmyndharis, MIT) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.
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