Llama Cpp Agent
The llama-cpp-agent framework is a tool designed for easy interaction with Large Language Models (LLMs). Allowing users to chat with LLM models, execute structured function calls and get structured output. Works also with models not fine-tuned to JSON output and function calls.
Install with one command
$ npx skills add Maximilian-Winter/llama-cpp-agentBest for
Coding agents
Discover skills for code generation, repository analysis, pull-request review, testing, debugging, and agentic software engineering.
Choose it when
- You want a GitHub-backed skill with 634 stars.
- You need a reusable install command for agents.
- You want to compare it with related marketplace skills.
Check before install
- Pushed 3mo ago
- License: Unknown
- Review the repository README and examples.
Quality profile
Strong candidate for agent workflows
Solid option that is likely worth shortlisting for production workflows.
Workflow fit
Use this skill in these scenarios
Build and ship code
Coding agents
I need a coding agent that can understand a repository, edit code, and review pull requests.
Manage repositories
GitHub automation
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
Search private knowledge
RAG and knowledge
I need my agent to build a RAG workflow over documents and retrieve reliable context.
Stack fit
Add it to a complete workflow
Inspect, patch, and verify code
Coding review agent
A stack for software agents that inspect repositories, review pull requests, generate tests, and turn findings into shippable patches.
Turn skills into distribution
Content growth agent
A stack for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.
Ingest, retrieve, and cite
RAG knowledge base
A stack for document-heavy agents that ingest files, create searchable knowledge, retrieve relevant context, and answer with grounded sources.
Overview
The llama-cpp-agent framework is a tool designed for easy interaction with Large Language Models (LLMs). Allowing users to chat with LLM models, execute structured function calls and get structured output. Works also with models not fine-tuned to JSON output and function calls.
Imported by the skill-only GitHub discovery pipeline because it matches agent skill, automation, RAG, or developer-tool signals. Protocol-server projects are excluded from automated imports.
Platform Compatibility
Technical Details
- Version
- 1.0.0
- License
- Unknown
- Last Updated
- 5/23/2026
- Published
- 5/23/2026
Frameworks & Tools
Author
Maximilian-Winter
@maximilian-winter
Platform Fit
Health Signals
- GitHub stars
- 634
- Quality score
- 50/100
- Last GitHub push
- Mar 9, 2026
- Framework hints
- 2
Community Signal
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
Trust & Safety
- —Open source (public GitHub repo)
- —AI static analysis passed
- —License: Unknown
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