// Set up and manage automated recurring research searches. Use when user wants to stay updated on a topic, create scheduled searches, or refine existing queries.
[HINT] Download the complete skill directory including SKILL.md and all related files
| name | research-query-management |
| description | Set up and manage automated recurring research searches. Use when user wants to stay updated on a topic, create scheduled searches, or refine existing queries. |
| tools | ["list_available_sources","create_research_question","list_research_questions","get_research_question","update_research_question","delete_research_question","run_discovery_for_question"] |
Create and manage automated research queries that run on schedule to keep users updated on topics they care about.
For query management, use these tools:
| Tool | Purpose |
|---|---|
list_available_sources | Show source options |
create_research_question | Create new query |
list_research_questions | See existing queries |
get_research_question | Get query details |
update_research_question | Modify query settings |
delete_research_question | Remove a query |
run_discovery_for_question | Test a query |
Ask these questions:
list_available_sources() # Show options
create_research_question(
title="Descriptive title for this search",
keywords=["primary_term", "secondary_term", "synonym"],
sources=["source1", "source2"],
max_papers=15,
relevance_threshold=0.7,
schedule="daily" # or "weekly"
)
run_discovery_for_question(question_id="[new query ID]")
Review results with user:
"Your recurring search is set up:
š **Query**: [title]
š **Keywords**: [list]
š **Sources**: [list]
ā° **Schedule**: [daily/weekly]
š **Expected**: ~[X] papers per run
The system will automatically search for new papers and add them
to your collection. You'll find new papers in your daily/weekly digest."
When user reports issues, ask:
| Problem | Ask |
|---|---|
| Too many papers | "Are most papers relevant, or is there noise?" |
| Too few papers | "What kinds of papers are you missing?" |
| Wrong topic | "Can you show me papers you want vs. what you're getting?" |
Too much noise:
get_research_question(question_id="[query ID]")
update_research_question(
question_id="[query ID]",
relevance_threshold=0.8, # Raise from 0.7
keywords=["more", "specific", "terms"] # Add specificity
)
Missing papers:
update_research_question(
question_id="[query ID]",
relevance_threshold=0.65, # Lower threshold
sources=["add", "more", "sources"], # Add sources
keywords=["existing", "plus", "synonyms"] # Add synonyms
)
Wrong domain:
update_research_question(
question_id="[query ID]",
keywords=["topic", "-exclude_term"], # Negative keywords
sources=["domain_specific_source"] # Change sources
)
| User Availability | Schedule | Max Papers |
|---|---|---|
| 10 min/day | daily | 10-15 |
| 30 min/week | weekly | 30-50 |
| 1+ hour/week | weekly | 50-100 |
| Comprehensive review | weekly | 100+ |
Periodically review query performance:
list_research_questions()
For each query:
get_research_question(question_id="...")
Check:
- Last run date
- Papers found per run
- User engagement (if tracked)
Recommend adjustments if needed
User: "Keep me updated on new papers about state space models"
1. "I'll set up a recurring search for you. A few questions:
- How often should I check for new papers? (daily/weekly)
- How many papers can you review? (~10-15 daily or ~30-50 weekly)"
2. [User: "Weekly, about 30 papers"]
3. create_research_question(
title="State Space Models Research Updates",
keywords=["state space model", "SSM", "Mamba", "S4", "linear attention"],
sources=["arxiv", "semantic_scholar"],
max_papers=35,
relevance_threshold=0.7,
schedule="weekly"
)
4. run_discovery_for_question(question_id="...")
5. "Found 28 papers in the initial test. Here are the top 5:
[list]
Does this look like what you're looking for?"
User: "My attention mechanisms search is giving me too many irrelevant papers"
1. list_research_questions() # Find the query
2. get_research_question(question_id="attention-query-id")
ā Current settings: threshold=0.65, keywords=["attention"]
3. "I see your current search uses broad keywords. Let's refine:
- What specific type of attention are you interested in?
- Any domains you want to exclude?"
4. [User: "Just efficient attention for transformers, not general attention"]
5. update_research_question(
question_id="attention-query-id",
keywords=["efficient attention", "linear attention", "sparse attention", "flash attention"],
relevance_threshold=0.75
)
6. run_discovery_for_question(question_id="attention-query-id")
7. "Updated! Test run found 18 papers (down from 45).
Here are the top 5 - are these more relevant?"
User: "I'm researching LLM efficiency - help me set up comprehensive tracking"
1. "For comprehensive coverage, I recommend multiple focused queries:
Query 1: Model Architecture Efficiency
Query 2: Training Efficiency
Query 3: Inference Optimization
Each will capture different aspects. Shall I set these up?"
2. [Create each query with specific keywords]
3. "You now have 3 queries running weekly:
- Architecture: ~15 papers/week
- Training: ~20 papers/week
- Inference: ~25 papers/week
Total: ~60 papers/week. Manageable for your schedule?"
For new query setup:
## Research Query Created ā
**Title**: [query title]
**ID**: [query_id]
**Configuration**:
- Keywords: [list]
- Sources: [list]
- Schedule: [frequency]
- Max papers: [count]
- Relevance threshold: [value]
**Test Results**:
- Papers found: [count]
- Sample papers: [top 3]
**Next steps**:
- Query will run automatically on [schedule]
- Use `get_research_question(question_id="[ID]")` to check status
- Ask me to refine if results aren't quite right