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What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
- Runs as
- Python package
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/sparql
What's inside
- Skill name
sparql- Description
- Query schema.org RDF graphs via SPARQL. Use when the user wants to run SPARQL, inspect a triplestore, list datasets, inventory variableMeasured or depth (DepBelowSurf), explore named graphs, or build schema.org SPARQL against an endpoint URL. Triggers: SPARQL, Oxigraph, QLever, /query, /skill:sparql, triplestore, schema.org graph, depth assay, variableMeasured, list graphs/types. Not for: SHACL validation, loading RDF, FAIR interviews, free-text Blazegraph search.
- License
- Apache-2.0
- Compatibility
- python3, uv, SPARQLWrapper (decoder-pi pyproject.toml)
- Metadata
- author: DOOS / GoFAIR US (adapted) · source: doos-sparql · project: decoder-pi · version: 1.0
- Instructions
- 221 lines in SKILL.md · view on GitHub
Before installing
- Ships executable scripts
Files (13)
- SKILL.md
- catalog.json · queries/
- count_spatial.rq · queries/
- dataset_by_name.rq · queries/
- datasets_sample.rq · queries/
- depth_assay.rq · queries/
- depth_minmax.rq · queries/
- list_graphs.rq · queries/
- list_types.rq · queries/
- probe_triples.rq · queries/
- providers_from_graphs.rq · queries/
- variable_measured.rq · queries/
- sparql_query.py · scripts/
SKILL.md (first lines)
# SPARQL Query
Run **portable SPARQL 1.1** against a user-supplied endpoint. Prefer curated
templates in `queries/`; when none fit, author new SPARQL from the **schema.org
cookbook** below and execute with `query` or `file`.
Adapted from the DOOS `doos-sparql` skill. Templates still target schema.org +
GeoSPARQL patterns used in DOOS/Oxigraph named graphs.
## Required: endpoint URL
Every network command needs:
```text
--endpoint <SPARQL_URL>
```
**Local test (Oxigraph):** `http://localhost:7878/query`
Always use the full **query** path (`/query`), not the store base URL alone.
If the user does not give an endpoint, ask once, then default the suggestion to
`http://localhost:7878/query` for local work.
## Agent workflow
1. **Confirm endpoint** — required; do not invent live URLs.
2. **Match a template** — run `list`, pick the best `id`, then `run`.
3. **If no template fits** — write SPARQL from the cookbook → `query` or `file`.
4. **Show the SPARQL** — use `--show-query` (or paste the query in the reply).
5. **Report results honestly** — row counts and sample rows only; never invent bindings.
6. **Empty results** — try `probe_triples` / `list_graphs`; check http vs https schema.org; check named graphs vs default graph.
### Prefer templates over inventing SPARQL
| User intent | Template id |
|---|---|
| Is the store alive / has data? | `probe_triples` |
| What types exist? | `list_types` |
| What named graphs? | `list_graphs` |
| Sample datasets | `datasets_sample` |
| Find datasets by name | `dataset_by_name` (`--name`) |
| List measured variables | `variable_measured` |
| Depth variables inventory | `depth_assay` |
| DepBelowSurf ranges | `depth_minmax` |
| Spatial coverage count | `count_spatial` |
| Provider slugs from graph IRIs | `providers_from_graphs` |
## CLI
Run from the **decoder-pi repo root** (`uv` resolves `SPARQLWrapper` from this
repo's `pyproject.toml`). Paths below are relative to that root:
```bash
# List templates (no network)
uv run python skills/sparql/scripts/sparql_query.py list
# Run a named template
uv run python skills/sparql/scripts/sparql_query.py run \
--endpoint http://localhost:7878/query \
--query depth_assay \
--limit 50 \
--format table \
--show-query
# Optional filters
# --name <fragment> # required for dataset_by_name
# --graph-contains <substr> # FILTER on named graph IRI (variable_measured, depth_minmax)
# Ad-hoc SPARQL string
uv run python skills/sparql/scripts/sparql_query.py query \
--endpoint http://localhost:7878/query \
--sparql 'PREFIX schema: <https://schema.org/>
SELECT ?s ?name WHERE {
GRAPH ?g { ?s a schema:Dataset ; schema:name ?name . }
} LIMIT 10' \
--format json
# Any .rq file
uv run python skills/sparql/scripts/sparql_query.py file \
--endpoint http://localhost:7878/query \
--query-file skills/sparql/queries/probe_triples.rq
```
| Subcommand | Network? | Purpose |
|---|---|---|
| `list` | no | Catalog of template ids |
| `run` | yes | Curated `queries/<id>.rq` |
| `query` | yes | Inline SPARQL string |
| `file` | yes | Path to `.rq` file |
**Output:** `--format table|json|csv` (default `table`).
**Deps:** `SPARQLWrapper` via this repo's `pyproject.toml`. First run:
```bash
uv sync
```
## Schema.org cookbook
Metadata in this domain is primarily **schema.org** + **GeoSPARQL**, often in
**named graphs**.
### Prefixes (portable)
```sparql
PREFIX schema: <https://schema.org/>
PREFIX rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX xsd: <http://www.w3.org/2001/XMLSchema#>
PREFIX geo: <http://www.opengis.net/ont/geosparql#>
```
Prefer `https://schema.org/`. Some older loads use `http://schema.org/` — if counts look low, UNION both or probe with `list_types`.
### Named graphs
Most Oxigraph loads put triples in **named graphs**. Prefer:From earthcube/decoder-pi, Apache-2.0.
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Signals
- Stars
- 0
- Forks
- 0
- Open issues
- 5
- Last commit (this folder)
- Sep 21, 2026 (1 month ago)
From GitHub (fetched Oct 24, 2026).
Details
- Version
- 1.0
- License
- Apache-2.0
- Repository
- github.com/earthcube/decoder-pi
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
Cite this page
sparql skill. Agent Mart. https://agentmart.dev/skills/earthcube-sparql (last updated 2026-10-24)