Awesome-omni-skill BuzzLLM Gateway

Use buzzllm CLI to perform web searches, execute Python code in Docker, search/analyze local codebases, or generate code change blocks. Trigger when user asks for web search, Python execution, code analysis, or code modifications via LLM.

install

source · Clone the upstream repo

git clone https://github.com/diegosouzapw/awesome-omni-skill

Claude Code · Install into ~/.claude/skills/

T=$(mktemp -d) && git clone --depth=1 https://github.com/diegosouzapw/awesome-omni-skill "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/development/buzzllm-gateway" ~/.claude/skills/diegosouzapw-awesome-omni-skill-buzzllm-gateway && rm -rf "$T"

manifest: skills/development/buzzllm-gateway/SKILL.md

source content

What is BuzzLLM

A CLI gateway that invokes LLMs with specialized tools:

websearch: Search the web and scrape pages
pythonexec: Execute Python code in a sandboxed Docker container
codesearch: Search and read files in local codebases
hackhub: Generate Search-Replace blocks for code modifications

Command Structure

buzzllm "MODEL" "API_URL" "PROMPT" \
    --provider PROVIDER \
    --api-key-name ENV_VAR \
    --system-prompt TEMPLATE \
    [--think]  # for extended thinking
    [--brief]  # hide tool calls/results, show only final output

Providers

Provider	API URL	Notes
`openai-chat`	`https://api.openai.com/v1/chat/completions`	Standard chat completions
`openai-responses`	`https://api.openai.com/v1/responses`	Reasoning models (o1, o3)
`anthropic`	`https://api.anthropic.com/v1/messages`	Claude models
`vertexai-anthropic`	`https://REGION-aiplatform.googleapis.com/v1/projects/PROJECT/locations/REGION/publishers/anthropic/models/MODEL:streamRawPredict`	Claude via GCP

System Prompt Templates

With Tools

```
websearch
```
- Web search + page scraping (
```
search_web
```
,
```
scrape_webpage
```
)

codesearch

- Codebase analysis (

bash_find

bash_ripgrep

bash_read

)

```
pythonexec
```
- Python in Docker (
```
python_execute
```
)

Without Tools

```
hackhub
```
- Search-Replace block generation
```
generate
```
- General generation
```
helpful
```
- Helpful assistant
```
replace
```
- Replacement template

Usage Examples

Web Search

buzzllm "gpt-4o-mini" \
    "https://api.openai.com/v1/chat/completions" \
    "What is the current price of Bitcoin?" \
    --provider openai-chat \
    --api-key-name OPENAI_API_KEY \
    --system-prompt websearch

Python Execution

# Requires Docker container: cd python_runtime_docker && bash build_docker.sh build-python-exec
buzzllm "claude-sonnet-4-20250514" \
    "https://api.anthropic.com/v1/messages" \
    "Calculate the first 20 Fibonacci numbers using Python" \
    --provider anthropic \
    --api-key-name ANTHROPIC_API_KEY \
    --system-prompt pythonexec

Code Search

buzzllm "gpt-4o-mini" \
    "https://api.openai.com/v1/chat/completions" \
    "How does error handling work in this codebase?" \
    --provider openai-chat \
    --api-key-name OPENAI_API_KEY \
    --system-prompt codesearch

Code Modifications (HackHub)

buzzllm "claude-sonnet-4-20250514" \
    "https://api.anthropic.com/v1/messages" \
    "$(cat src/main.py)\nAdd logging to all functions" \
    --provider anthropic \
    --api-key-name ANTHROPIC_API_KEY \
    --system-prompt hackhub

Extended Thinking (Claude/OpenAI reasoning)

buzzllm "claude-sonnet-4-20250514" \
    "https://api.anthropic.com/v1/messages" \
    "Solve this complex problem step by step" \
    --provider anthropic \
    --api-key-name ANTHROPIC_API_KEY \
    --think

When to Use

User asks for web search: Use
```
--system-prompt websearch
```
User wants Python execution: Use
```
--system-prompt pythonexec
```
(ensure Docker is running)
User asks about codebase: Use
```
--system-prompt codesearch
```
User wants code changes: Use
```
--system-prompt hackhub
```
Complex reasoning needed: Add
```
--think
```
flag

Environment Variables Required

```
OPENAI_API_KEY
```
- For OpenAI models
```
ANTHROPIC_API_KEY
```
- For Anthropic models
```
BRAVE_SEARCH_AI_API_KEY
```
- Fallback for websearch if DuckDuckGo fails

Output

Default: streams text to stdout With

-S

flag: SSE format for programmatic consumption