ReddRadar
Agent skill
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 this agent skill to your Project
npx add-skill https://github.com/open-gitagent/gitagent/tree/main/examples/lyzr-agent/skills/research
Metadata
Additional technical details for this skill
- author
- gitagent-examples
- version
- 1.0.0
- category
- research
SKILL.md
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
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Health-check the wiki for contradictions, stale claims, orphan pages, missing cross-references, and knowledge gaps. Use periodically or when the user says 'lint the wiki' or 'check wiki health'.
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Query the wiki to answer questions. Searches wiki pages, synthesizes answers with citations, and optionally files valuable answers back as new wiki pages. Use when the user asks a question about the knowledge base.
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