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Programming, frameworks, implementation, frontend, backend, and app development
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- Solid Lws ServerRun and use the experimental native `sparq-lws-core` Solid/LDP (Linked Web Storage) server: configure its environment and storage backend, make authenticated LDP and WAC requests, negotiate Turtle or profile-aware JSON-LD, and query the WAC-scoped `/sparql` endpoint. Use for the Rust LWS server, not the separate `@sparq-org/solid-server` JavaScript development host.Votes: 0GitHub stars: 12
- Shacl ValidationValidate RDF data against SHACL shapes with the sparq engine: SHACL Core constraints (class, datatype incl. the SHACL-1.2 disjunctive list form, cardinality, ranges, paths, logical, node/property, qualified, closed incl. sh:ByTypes, in/hasValue, the SHACL-1.2 list constraints sh:memberShape / sh:uniqueMembers / sh:min+maxListLength / sh:uniqueValuesFor, and the SHACL-1.2 value constraints sh:subsetOf / sh:someValue / sh:singleLine / sh:rootClass with path-valued sh:equals/disjoint/lessThan co...Votes: 0GitHub stars: 12
- Shacl Compact SyntaxParse or write SHACL Compact Syntax (SHACL-C/SCS) shapes with the opt-in sparq-shaclc Rust crate. Use when converting strict W3C CG syntax or shaclc-js extended syntax to oxrdf triples, building a sparq-shacl validation graph, handling typed source errors, using the generated streaming parser, or faithfully serialising an expressible shapes graph back to compact syntax.Votes: 0GitHub stars: 12
- Rdf WrapperTraverse sparq RDF graphs as native Rust objects with the opt-in sparq-wrapper crate: bind a focus Term to an owned or borrowed Store, follow outgoing/incoming NamedNode predicates with iterators, unwrap values, convert typed literals to str/i64/bool, mutate owned stores, and optionally use the unlanded distinct-result, typed-cardinality, literal-codec, typed-focus, effective-change observation, async store/node/event, and graph-scope (plus projected event) proposals. Use when Rust code shoul...Votes: 0GitHub stars: 12
- PythonUse the sparq RDF + SPARQL engine from Python (PyPI distribution `sparq-rdf`; `import sparq`). Reach for this when an agent or developer needs to load RDF (Turtle/N-Triples/N-Quads/TriG/JSON-LD), run SPARQL 1.1 SELECT/ASK/CONSTRUCT/DESCRIBE, apply SPARQL Update, do opt-in RDFS/OWL-RL/Notation3 reasoning + OWL inconsistency checks, run BM25 full-text search (text: magic predicates), or persist/memory-map a triplestore — all via the pyo3 sparq.Graph class.Votes: 0GitHub stars: 12
- JsonldParse, expand, flatten, compact, and frame W3C JSON-LD 1.1 with sparq — the native, dependency-free document-level pipeline in the `sparq-jsonld` crate (expand/flatten/compact/frame/fromRdf over a JSON AST, deny-by-default document loader) and how each surface exposes it (native CLI `dump … jsonld[-compact] --context/--frame`, the HTTP server's `application/ld+json` content-negotiation, the Solid/LWS server's profile-aware expanded/compacted negotiation, the wasm `serializeCompact`, the engin...Votes: 0GitHub stars: 12
- Javascript WasmUse the sparq RDF+SPARQL engine from JavaScript/TypeScript (Node >=18 or the browser) via its WebAssembly build and the @sparq-org/sparq RDF-JS wrapper — load Turtle/N-Triples/N-Quads/TriG, run SPARQL 1.1 SELECT/ASK, stream large results, count without materialising, apply SPARQL Update / quad deltas, do RDF-JS match()/countQuads(), and ingest gzip/zstd-compressed RDF. Reach for this when wiring sparq into a Node service, browser tab, or RDF-JS pipeline.Votes: 0GitHub stars: 12
- Gpu KernelsExperimental GPU (wgpu / WGSL) compute kernels for sparq's hot-path primitive shapes — FILTER + count, hash-join probe, and GROUP BY COUNT+SUM — over plain ValueId-shaped columns (&[u32] / &[f64]) in the opt-in sparq-gpu crate. Use when measuring whether a GPU beats the CPU for sparq's columnar primitives once the host->device transfer tax is charged, driving the Gpu handle and resident column/hash-table types, or reading the device-vs-CPU verdict. MEASUREMENT PROTOTYPE (roadmap T24d), PARKED...Votes: 0GitHub stars: 12
- Arrow ColumnarExport and import sparq SPARQL SELECT QueryResult values through Apache Arrow RecordBatch, in-memory Parquet bytes, Arrow IPC stream bytes, or flattened CSV bytes with the opt-in sparq-arrow crate. Use when moving query results into dataframe, analytics, transport, or storage tooling while preserving RDF term kinds, datatype and language metadata, RDF 1.2 triple terms, empty literals, and unbound cells.Votes: 0GitHub stars: 12
- sparqHow to USE the sparq RDF triplestore + SPARQL 1.1/1.2 engine (Rust crates, CLI, HTTP server, Python, JS/WASM) and its capabilities (reasoning, SHACL, full-text, vector, GeoSPARQL, streaming RSP-QL, ZK query proofs). Router skill — read this first, then the per-surface skill that matches the task.Votes: 0GitHub stars: 12
- Hdt FormatThe HDT (Header-Dictionary-Triples) binary RDF archive format — layout, dictionary sections (Plain Front Coding), BitmapTriples with rank/select, .hdt.gz handling, and how the sparq-hdt crate wraps the `hdt` crate. Use when working on sparq-hdt (loading .hdt archives into a sparq Graph), reasoning about HDT decode performance, the id-level translation into sparq's Dict, the opt-in feature/MSRV gating, or HDT write-support gaps.Votes: 0GitHub stars: 12
- Frontend DesignHow sparq designs its TWO distinct frontends — the explanatory marketing-docs WEBSITE (site/, Next.js static export) and the operational desktop GUI (gui/, Tauri 2 + native engine). Covers the methodology that keeps them distinct, scannable, and honest: information architecture + content-reduction (fight "too much text"), explanatory-site patterns (show-don''t-tell, progressive disclosure, one killer artifact), operational-GUI patterns (workbench shell, command palette, keyboard-first), the s...Votes: 0GitHub stars: 12
- CavemanUltra-compressed communication mode — cuts token usage ~75% by dropping filler, articles, and pleasantries while keeping full technical accuracy. Slash-only: /caveman to enable, "stop caveman" / "normal mode" to disable.Votes: 0GitHub stars: 3
- Mspec Visual Prototypevisual-mock step of mspec workflow — generate UI prototype HTML and collect feedbackVotes: 0GitHub stars: 4
- Mspec Taskstasks step of mspec workflow — produce tasks.md with anchor blocksVotes: 0GitHub stars: 4
- Mspec Reviewself-review step of mspec workflow — sanity-check all artifacts via subagentVotes: 0GitHub stars: 4
- Mspec Quickstartquickstart step of mspec workflow — write quickstart.mdVotes: 0GitHub stars: 4
- Mspec Proposalproposal step of mspec workflow — clarify intent and write proposal.mdVotes: 0GitHub stars: 4
- Mspec Nextaction Plannerarchive ステップ完了後に Next Steps を評価し優先度付きのチェンジ登録提案を生成するサブエージェントVotes: 0GitHub stars: 4
- Mspec Newnew step of mspec workflow — bootstrap a change directory and readme.mdVotes: 0GitHub stars: 4
- Mspec Lessons Analyzerarchive ステップ完了後に Lessons を分析し constitution.md への追加提案を生成するサブエージェントVotes: 0GitHub stars: 4
- Mspec Deltadelta step of mspec workflow — generate Delta Spec with auto-numbered FR-NNNVotes: 0GitHub stars: 4
- greenapi-client-pythonWrite correct Python code with the official GREEN-API SDK whatsapp-api-client-python (package whatsapp_api_client_python). Use when sending/receiving WhatsApp messages, files, polls, groups, journals, queues, statuses, contacts, partner instances, polling notifications, or configuring a GREEN-API instance in Python. Triggers: GREEN-API, green-api, whatsapp-api-client-python, GreenAPI, GreenApi, sendMessage, receiveNotification.Votes: 0GitHub stars: 208
- QaSystematically QA test a web application. Use when asked to "qa", "QA", "test this site", "find bugs", "dogfood", or review quality. Four modes: diff-aware (automatic on feature branches — analyzes git diff, identifies affected pages, tests them), full (systematic exploration), quick (30-second smoke test), regression (compare against baseline). Produces structured report with health score, screenshots, and repro steps.Votes: 0GitHub stars: 13