Aiwg research-discover

Search for research papers across academic databases

install

source · Clone the upstream repo

git clone https://github.com/jmagly/aiwg

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

T=$(mktemp -d) && git clone --depth=1 https://github.com/jmagly/aiwg "$T" && mkdir -p ~/.claude/skills && cp -r "$T/agentic/code/frameworks/research-complete/skills/research-discover" ~/.claude/skills/jmagly-aiwg-research-discover-ca352a && rm -rf "$T"

manifest: agentic/code/frameworks/research-complete/skills/research-discover/SKILL.md

source content

Research Discover Command

Search for relevant research papers across academic databases (arXiv, ACM, IEEE, Semantic Scholar, CrossRef).

Instructions

When invoked, perform systematic literature search:

Parse Query
- Accept natural language search query
- Extract key terms and constraints
- Identify domain context (ML, software engineering, HCI, etc.)
Select Databases
- Default: Search all available databases
- If
```
--source
```
  specified, use only that database
- Prioritize databases by domain relevance
Execute Search
- Query each database API
- Apply filters: publication year, source type, quality indicators
- Collect results with metadata (title, authors, DOI, abstract)
Rank Results
- Score by relevance to query
- Score by citation count
- Score by source quality (journal tier, conference rank)
- Score by recency
- Calculate composite relevance score
Present Results
- Display top N results (default: 10)
- Show title, authors, year, source, DOI
- Show relevance score and brief abstract snippet
- Provide acquisition options for high-value papers

Arguments

```
[query]
```
- Search query (required)

--source [arxiv|acm|ieee|semantic-scholar|crossref|all]

- Database to search (default: all)

```
--limit [n]
```
- Maximum results to return (default: 10)
```
--year-from [yyyy]
```
- Filter results from year onwards
```
--year-to [yyyy]
```
- Filter results to year
```
--min-citations [n]
```
- Minimum citation count threshold
```
--output [table|json|yaml]
```
- Output format (default: table)

Examples

# Basic search across all databases
/research-discover "agentic workflows LLM"

# Search specific database with filters
/research-discover "test-driven development effectiveness" --source acm --year-from 2020 --min-citations 50

# Comprehensive search with high limit
/research-discover "cognitive load theory UI design" --limit 25 --output yaml

Expected Output

Search Results: "agentic workflows LLM" (10 results, sorted by relevance)

┌─────┬───────────────────────────────────────────┬──────────┬───────────┬──────────┐
│ #   │ Title                                     │ Authors  │ Year      │ Score    │
├─────┼───────────────────────────────────────────┼──────────┼───────────┼──────────┤
│ 1   │ AutoGen: Enabling Next-Gen LLM Apps...   │ Wu et al.│ 2023      │ 0.95     │
│     │ DOI: 10.48550/arXiv.2308.08155            │          │ arXiv     │ 234 cit. │
├─────┼───────────────────────────────────────────┼──────────┼───────────┼──────────┤
│ 2   │ The Landscape of Emerging AI Agent...    │ Wang et  │ 2024      │ 0.89     │
│     │ DOI: 10.48550/arXiv.2404.11584            │          │ arXiv     │ 89 cit.  │
├─────┼───────────────────────────────────────────┼──────────┼───────────┼──────────┤
...

Actions:
- Use /research-acquire [DOI] to download papers
- Use /research-quality [DOI] to assess source quality
- Results saved to .aiwg/research/search-cache/results-[timestamp].yaml

Workflow Integration

This command integrates with the research workflow:

Discovery ← You are here
Use
```
/research-acquire
```
to download selected papers
Use
```
/research-document
```
to create summaries
Use
```
/research-quality
```
to assess evidence quality
Use
```
/research-cite
```
to generate citations

References

@$AIWG_ROOT/agentic/code/frameworks/research-complete/agents/discovery-agent.md - Discovery Agent
@$AIWG_ROOT/agentic/code/frameworks/research-complete/docs/database-apis.md - Supported databases
@$AIWG_ROOT/src/research/services/discovery-service.ts - Search implementation
@.aiwg/research/README.md - Research corpus structure