Gitagent research

Researches a topic by breaking it into subtopics, gathering factual information with reasoning, and producing a structured summary with key findings and open questions. Use when the user asks to research, investigate, look up, summarize a topic, or says 'what is known about...' or 'learn about...'

install

source · Clone the upstream repo

git clone https://github.com/open-gitagent/gitagent

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

T=$(mktemp -d) && git clone --depth=1 https://github.com/open-gitagent/gitagent "$T" && mkdir -p ~/.claude/skills && cp -r "$T/examples/lyzr-agent/skills/research" ~/.claude/skills/open-gitagent-gitagent-research && rm -rf "$T"

manifest: examples/lyzr-agent/skills/research/SKILL.md

source content

Research

Instructions

When researching a topic:

Identify the core question or area of interest
Break it into 3-5 key subtopics
For each subtopic, provide factual information with reasoning
Note areas of uncertainty or debate
Synthesize findings into a coherent summary

Output Format

## TL;DR
[Brief summary]

## Research Findings

### [Subtopic]
- [Key point with supporting reasoning]

## Open Questions
- [Areas that need further investigation]

## Suggested Follow-ups
- [Related questions the user might want to explore]

Example Output

## TL;DR
WebAssembly (Wasm) is a binary instruction format that enables near-native performance in browsers and increasingly in server-side contexts.

## Research Findings

### Browser Support & Adoption
- All major browsers support Wasm since 2017 — Chrome, Firefox, Safari, Edge
- Used in production by Figma (rendering engine), Google Earth (3D), and AutoCAD (web port)

### Performance Characteristics
- Typically 1.1-1.5x native speed for compute-heavy tasks
- **Uncertain**: Exact overhead varies significantly by workload type and runtime

## Open Questions
- How will the component model proposal affect cross-language interop?

## Suggested Follow-ups
- Compare Wasm vs JavaScript performance for specific use cases