columbia-clio

Included with Lifetime

$97 forever

Search Columbia University Libraries' CLIO catalog for books, journals, manuscripts, and other holdings via its Blacklight JSON API. Use this skill whenever the user wants to look up items in Columbia's library, check availability of books at Columbia, search by title/author/subject with faceted filtering by format/language/location, or retrieve detailed catalog records including call numbers and holdings data. Triggers when referencing Columbia University collections or Ivy League library holdings.

Backend & APIsscripts

What this skill does


# Columbia CLIO Catalog Skill

Search Columbia University Libraries' catalog of books, journals, manuscripts, and more.

## Critical: Things Claude Won't Know Without This Skill

### CLIO has an undocumented but fully functional JSON API

CLIO runs on Blacklight (Solr-based). Append `.json` to catalog URLs for JSON responses. No API key required.

```
Search:  https://clio.columbia.edu/catalog.json?q=hamlet&per_page=10
Record:  https://clio.columbia.edu/catalog/{id}.json
```

### Field-specific search uses `search_field` parameter

```
All fields: ?q=hamlet
Title only: ?q=hamlet&search_field=title
Author:     ?q=shakespeare&search_field=author
```

### Facets use array bracket syntax

```
?f[format][]=Book
?f[language_facet][]=Chinese&f[format][]=Book
```

Available facets: `format`, `language_facet`, `location_facet`, `subject_topic_facet`, `subject_geo_facet`, `subject_era_facet`, `subject_form_facet`, `pub_date_sort`.

### This is undocumented — be a good citizen

No rate limits are documented, but this is an unofficial API. Keep requests to 1/second max. The official bulk data is at `https://lito.cul.columbia.edu/extracts/ColumbiaLibraryCatalog/full/` (MARCXML, CC0).

## Key Search Parameters

| Param | Description | Example |
|-------|-------------|---------|
| `q` | Search query | `q=dream+of+the+red+chamber` |
| `search_field` | Limit to field: `title`, `author`, or all | `search_field=title` |
| `per_page` | Results per page (default ~10) | `per_page=25` |
| `page` | Page number | `page=2` |
| `sort` | Sort: `pub_date_sort+desc`, `pub_date_sort+asc` | `sort=pub_date_sort+desc` |
| `f[facet][]` | Filter by facet value | `f[format][]=Book` |

## Response Structure

```json
{
  "response": {
    "docs": [
      {
        "id": "12345678",
        "title_display": "Hamlet",
        "author_display": "Shakespeare, William, 1564-1616",
        "format": ["Book"],
        "pub_year_display": ["2003"],
        "pub_name_display": ["Cambridge University Press"],
        "language_facet": ["English"],
        "isbn_display": ["9780521532525"],
        "location_call_number_id_display": ["Butler Stacks PR2807 .A2 T48 2003 "]
      }
    ],
    "facets": [ ... ],
    "pages": {
      "current_page": 1,
      "total_pages": 5330,
      "total_count": 10659,
      "next_page": 2
    }
  }
}
```

### Key Document Fields

| Field | Description |
|-------|-------------|
| `id` | Catalog record ID |
| `title_display` | Title |
| `author_display` | Primary author |
| `author_facet` | All authors (array) |
| `format` | Format (Book, Online, Music, etc.) |
| `pub_year_display` | Publication year(s) |
| `pub_name_display` | Publisher |
| `pub_place_display` | Place of publication |
| `language_facet` | Language(s) |
| `isbn_display` | ISBN(s) |
| `oclc_display` | OCLC number(s) |
| `lccn_display` | LCCN(s) |
| `subject_topic_facet` | Subject terms |
| `location_call_number_id_display` | Location + call number |
| `physical_description_display` | Physical description |

## Python Script

```python
from scripts.clio_api import ColumbiaClioAPI
clio = ColumbiaClioAPI()

# Search
results = clio.search("hamlet", search_field="title", per_page=10)

# With facets
results = clio.search("chinese poetry", facets={"format": "Book", "language_facet": "Chinese"})

# Get single record
record = clio.get_record("12345678")

# Summarize
for r in results:
    print(clio.summarize(r))
```

## Related Skills

- **harvard-library-catalog**: Compare holdings across Harvard and Columbia
- **hathitrust-catalog**: Use ISBNs/OCLCs from CLIO to check HathiTrust for digital versions
- **wikidata-search**: Link OCLC numbers to Wikidata entities

## Resources

- `references/api_reference.md` — Complete field and facet reference
- `scripts/clio_api.py` — Python client with search, record lookup, and faceted filtering

Files: 4

Size: 16.6 KB

Complexity: 56/100

Category: Backend & APIs

Source: https://github.com/kltng/humanities-skills/tree/main/columbia-clio

Related in Backend & APIs

jfrog

Included

Interact with the JFrog Platform via the JFrog CLI and REST/GraphQL APIs. Use this skill when the user wants to manage Artifactory repositories, upload or download artifacts, manage builds, configure permissions, manage users and groups, work with access tokens, configure JFrog CLI servers, search artifacts, manage properties, set up replication, manage JFrog Projects, run security audits or scans, look up CVE details, query exposures scan results from JFrog Advanced Security, manage release bundles and lifecycle operations, aggregate or export platform data, or perform any JFrog Platform administration task. Also use when the user mentions jf, jfrog, artifactory, xray, distribution, evidence, apptrust, onemodel, graphql, workers, mission control, curation, advanced security, exposures, or any JFrog product name.

Backend & APIsscripts

cupynumeric-migration-readiness

Included

Pre-migration readiness assessor for porting NumPy to cuPyNumeric. Use BEFORE substantial porting work begins when the user asks whether code will scale on GPU, whether they should migrate to cuPyNumeric, which NumPy patterns transfer cleanly, what must be refactored before porting, or mentions pre-port assessment, scaling analysis, or refactor planning. Inspect the user's source code, look up NumPy usage, cross-reference the cuPyNumeric API support manifest, and distinguish distributed-scaling-friendly patterns from blockers such as unsupported APIs, scalar synchronization, host round-trips, Python/object-heavy control flow, shape/data-dependent branching, and in-place mutation hazards. Produce a verdict of READY, LIGHT REFACTOR, SIGNIFICANT REFACTOR, or NOT RECOMMENDED, with concrete refactor pointers.

Backend & APIsscripts

alibabacloud-data-agent-skill

Included

Invoke Alibaba Cloud Apsara Data Agent for Analytics via CLI to perform natural language-driven data analysis on enterprise databases. Data Agent for Analytics is an intelligent data analysis agent developed by Alibaba Cloud Database team for enterprise users. It automatically completes requirement analysis, data understanding, analysis insights, and report generation based on natural language descriptions. This tool supports: discovering data resources (instances/databases/tables) managed in DMS, initiating query or deep analysis sessions, real-time progress tracking, and retrieving analysis conclusions and generated reports. Use this Skill when users need to query databases, analyze data trends, generate data reports, ask questions in natural language, or mention "Data Agent", "data analysis", "database query", "SQL analysis", "data insights".

Backend & APIsscripts

token-optimizer

Included

Reduce OpenClaw token usage and API costs through smart model routing, heartbeat optimization, budget tracking, and native 2026.2.15 features (session pruning, bootstrap size limits, cache TTL alignment). Use when token costs are high, API rate limits are being hit, or hosting multiple agents at scale. The 4 executable scripts (context_optimizer, model_router, heartbeat_optimizer, token_tracker) are local-only — no network requests, no subprocess calls, no system modifications. Reference files (PROVIDERS.md, config-patches.json) document optional multi-provider strategies that require external API keys and network access if you choose to use them. See SECURITY.md for full breakdown.

Backend & APIsscripts

resend-cli

Included

Use this skill when the task is specifically about operating Resend from an AI agent, terminal session, or CI job via the official resend CLI: installing/authenticating the CLI, sending/listing/updating/cancelling emails, batch sends, domains and DNS, webhooks and local listeners, inbound receiving, contacts, topics, segments, broadcasts, templates, API keys, profiles, or debugging Resend CLI/API failures. Trigger on mentions of Resend CLI, `resend`, `resend doctor`, `resend emails send`, `resend domains`, `resend webhooks listen`, `resend emails receiving`, or agent-friendly terminal automation.

Backend & APIsscripts

alibabacloud-odps-maxframe-coding

Included

Use this skill for MaxFrame SDK development and documentation navigation on Alibaba Cloud MaxCompute (ODPS). Helps answer MaxFrame API, concept, official example, and supported pandas API questions; create data processing programs; read/write MaxCompute tables; debug jobs (remote or local); and build custom DPE runtime images. Trigger when users mention MaxFrame, MaxCompute with MaxFrame, ODPS table processing, DPE runtime, MaxFrame docs/examples, DataFrame/Tensor operations, or GPU runtime setup. Works for both English and Chinese queries about Alibaba Cloud data processing with MaxFrame.

Backend & APIsscripts