dimcli

name	dimcli
description	Query the Dimensions Analytics API using the dimcli CLI tool. Use when the user wants to search or retrieve data from Dimensions — publications, grants, patents, clinical trials, datasets, researchers, organisations, policy documents, or reports. Triggers on requests like "search Dimensions for...", "find publications about...", "look up grants on...", "query the Dimensions API", or "/dimcli". Use when this capability is needed.
metadata	{"author":"digital-science"}

Dimcli Skill

Query the Dimensions Analytics API via dimcli -q "..." and present results with clickable Dimensions URLs.

Workflow

1. Identify the source and intent from the user's request
2. Construct a valid DSL query — always include id so URLs can be built
3. Run: dimcli -q "<query>" -f json
4. Parse JSON and present a numbered list with title, key metadata, and Dimensions URL
5. Offer follow-ups: refine, export to CSV, fetch more records

If unsure about available fields, run dimcli -q "describe schema" first.

DSL grammar and URL patterns: See grammar.md and urls.md.

Query Structure

search <source> [for "<keywords>"] [where <filters>] return <source>[field1+field2+...] [limit N] [sort by <field>]

Always include id in return fields. Use [basics] for a standard field set.

Output Format

Present results as a numbered list:

1. **Title of the work** (2023)
   Journal: Nature | Cited by: 142
   https://app.dimensions.ai/details/publication/pub.1234567890

2. ...

Summarise after the list: total found, date range, notable patterns.

Flags

Flag	Use case
-f json	Default — structured data
-f csv --nice	Clean tabular export
-f df	Formatted terminal table
-f df --html	HTML table with hyperlinks

Advanced

• Large results: API returns max 1000/call (50k with pagination). Suggest narrowing filters or using query_iterative() in Python.
• Schema lookup: dimcli -q "describe schema"
• Export: dimcli -q "..." -f csv --nice > results.csv

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Subcommand: profile <grid_id>

Generate a full profile report for an organisation, given its GRID ID (format: grid.XX).

Workflow

Run all queries sequentially (never in parallel — concurrent calls cause session conflicts).

Step 1 — Fetch organisation metadata:

dimcli -q "search organizations where id = \"<grid_id>\" return organizations[acronym+city_name+country_code+country_name+dimensions_url+established+external_ids_fundref+hierarchy_details+id+isni_ids+latitude+linkout+longitude+name+organization_child_ids+organization_parent_ids+organization_related_ids+ror_ids+status+types+ultimate_parent_id+wikidata_ids+wikipedia_url]" -f json 2>/dev/null

Note: organizations[all] is not valid — always enumerate fields explicitly.

Step 2 — Count documents per source:

Run each query below sequentially. Extract _stats.total_count from the JSON.

# Publications
dimcli -q "search publications where research_orgs = \"<grid_id>\" return publications limit 1" -f json 2>/dev/null

# Grants
dimcli -q "search grants where research_orgs = \"<grid_id>\" return grants limit 1" -f json 2>/dev/null

# Datasets
dimcli -q "search datasets where research_orgs = \"<grid_id>\" return datasets limit 1" -f json 2>/dev/null

# Clinical Trials
dimcli -q "search clinical_trials where research_orgs = \"<grid_id>\" return clinical_trials limit 1" -f json 2>/dev/null

# Patents — NOTE: uses 'assignees', not 'research_orgs'
dimcli -q "search patents where assignees = \"<grid_id>\" return patents limit 1" -f json 2>/dev/null

# Reports
dimcli -q "search reprots where research_orgs = \"<grid_id>\" return reports limit 1" -f json 2>/dev/null

# Policy Documents — NOTE: uses 'publisher_org', not 'research_orgs'
dimcli -q "search policy_documents where publisher_org = \"<grid_id>\" return policy_documents limit 1" -f json 2>/dev/null

Each source uses a different field name to filter by organisation:

Source	Filter field
publications, grants, datasets, clinical_trials	research_orgs
patents	assignees
policy_documents	publisher_org

Step 2b — Count documents where org is a funder:

# Publications (as funder)
dimcli -q "search publications where funders = \"<grid_id>\" return publications limit 1" -f json 2>/dev/null

# Grants (as funder) — NOTE: uses 'funder_orgs', not 'funders'
dimcli -q "search grants where funder_orgs = \"<grid_id>\" return grants limit 1" -f json 2>/dev/null

# Datasets (as funder)
dimcli -q "search datasets where funders = \"<grid_id>\" return datasets limit 1" -f json 2>/dev/null

# Clinical Trials (as funder)
dimcli -q "search clinical_trials where funders = \"<grid_id>\" return clinical_trials limit 1" -f json 2>/dev/null

# Patents (as funder)
dimcli -q "search patents where funders = \"<grid_id>\" return patents limit 1" -f json 2>/dev/null

# Reports (as funder) — NOTE: uses 'funder_orgs', not 'funders'
dimcli -q "search reports where funder_orgs = \"<grid_id>\" return reports limit 1" -f json 2>/dev/null

Step 3 — Piping to Python:

Always redirect stderr with 2>/dev/null before piping to Python. The CLI prints "Reusing cached session." to stdout, which breaks JSON parsing if included.

dimcli -q "..." -f json 2>/dev/null | python3 -c "import json,sys; d=json.load(sys.stdin); print(d['_stats']['total_count'])"

Output Format

Print the profile as a markdown report:

# Organisation Profile: <Name> (<acronym>)

**GRID ID:** `<id>` | **Status:** <status> | **Type:** <types> | **Established:** <year>

## Location
- City: <city>, <country>
- Coordinates: <lat>, <lon>

## Links
- Website: <linkout>
- Wikipedia: <wikipedia_url>
- Dimensions: <dimensions_url>

## External Identifiers
- ROR: <ror_ids>
- ISNI: <isni_ids>
- Wikidata: <wikidata_ids>
- FundRef IDs: <external_ids_fundref>


 Ultimate parent: 
 Parent orgs: 
 Child orgs: 
 Related orgs: 


| Source | Count | Dimensions URL |
|--------|------:|----------------|
| Publications | N | https://app.dimensions.ai/discover/publication?andresearchmode=content&orresearchfacetorg= |
| Clinical Trials | N | https://app.dimensions.ai/discover/clinicalfacetorg= |
| Patents | N | https://app.dimensions.ai/discover/patent?andresearchreport?andresearchdocument?andresearchfacetfacetset?orfunder= |
| Clinical Trials | N | https://app.dimensions.ai/discover/clinicalfacetfacetreport?orfunder= |
|  |  | |

Export

If the user asks to export, save the report to <grid_id>_profile.md using the Write tool. Confirm the file path after saving.

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Source: digital-science/dimcli — distributed by TomeVault.