Development

Programming, frameworks, implementation, frontend, backend, and app development

skills in category: 70,058
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Showing 19,369–19,392 of 70,058 skills

Panel PipelineAOrchestrate building an OpenSkyhawk cockpit controller end-to-end — research → schematic → CAD → backlight → PCB → firmware → order → assembly → test. Use when starting a new panel or controller, advancing one to its next stage, resuming a partially-built one (detect where it stands and continue), or partitioning the cockpit's panels into controllers. A thin orchestrator: it sequences stages, enforces gates, keeps the GitHub Projects + repo tracking + InvenTree inventory/cost in sync, owns th...developmentpythonrustVotes: 0GitHub stars: 3
Panel MappingAResearch a new OpenSkyhawk panel from DCS — identify its controls and control types, confirm DCS-BIOS IDs, build the I/O summary, and measure the panel size from the DCS Model Viewer. Use when starting or researching a new panel, identifying switch/control types, recording Model Viewer corner coordinates, computing panel dimensions/scale, or mapping controls to DCS-BIOS. This is the front of the per-panel pipeline; it feeds firmware, pcb-design, and cad.developmentnodegitVotes: 0GitHub stars: 3
Inventree PartsASync parts into InvenTree with stable IPNs and full supplier/cost data. Use when adding or updating a part in InvenTree, assigning an IPN, importing an LCSC part number (C####) with inventree-part-import, importing an Alibaba/AliExpress order (toggles/rotaries/encoders/buttons), linking a backorder-alternate SKU, filling per-panel cost, or reconciling KiCad LCSC labels against InvenTree. Owns the IPN scheme, the import workflow, and the non-LCSC supplier handling.developmentpythonrustVotes: 0GitHub stars: 3
Full StackAOpenSkyhawk end-to-end system integration — how a control flows across SimGateway, PanelBridge, PanelGroup, CAN, the PCB, and DCS. Use for cross-layer questions, onboarding/orientation, "how does X reach DCS", tracing a signal across layers, debugging that spans firmware + hardware, or deciding which layer owns a behaviour. Hands off to pcb-design / firmware / panel-mapping for depth.developmentnodedebuggingVotes: 0GitHub stars: 3
FirmwareAOpenSkyhawk firmware — STM32 (PanelBridge, PanelGroup) and RP2040 (SimGateway). Use when writing or changing firmware, PlatformIO projects, CAN protocol, NODE_ID assignment, DCS-BIOS integration, HID, panel sketches, shared libraries or their test sketches, or interacting with MCP23017/ADS1115 through the firmware classes (PanelGroup input/output classes). PanelGroup work is the most common interaction.developmentgoc++Votes: 0GitHub stars: 3
SubstrateAThe opt-in shared zero-overhead evaluation substrate for the sparq engine and the reasoners — id-tuple row/key/posting vocabulary (`rows`), the XSD numeric value tower (`numeric`), the four id-tuple join kernels (`join`), and the SPARQL term total order (`compare`). All features are DEFAULT-OFF; opt in to exactly the slice you need. Use this crate when wiring a new reasoner that shares joins or numeric evaluation with the engine, or when working on the sparq-substrate crate itself. [SONNET-4....developmentrustgoVotes: 0GitHub stars: 12
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Solid Lws ServerARun 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.developmentjavascripttypescriptVotes: 0GitHub stars: 12
Shacl ValidationBValidate 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...developmentjavascriptrustVotes: 0GitHub stars: 12
Shacl Compact SyntaxAParse 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.developmentrustgoVotes: 0GitHub stars: 12
Rdf WrapperATraverse 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...developmentrustgoVotes: 0GitHub stars: 12
PythonAUse 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.developmentpythonrustVotes: 0GitHub stars: 12
JsonldAParse, 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...developmentjavascriptpythonVotes: 0GitHub stars: 12
Javascript WasmAUse 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.developmentjavascripttypescriptVotes: 0GitHub stars: 12
Gpu KernelsAExperimental 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...developmentrustgoVotes: 0GitHub stars: 12
Arrow ColumnarAExport 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.developmentrustgoVotes: 0GitHub stars: 12
sparqAHow 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.developmentjavascripttypescriptVotes: 0GitHub stars: 12
Hdt FormatAThe 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.developmentrustgoVotes: 0GitHub stars: 12
Frontend DesignAHow 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...developmentrustgoVotes: 0GitHub stars: 12
CavemanAUltra-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.developmentsqlreactVotes: 0GitHub stars: 3
Mspec Visual PrototypeAvisual-mock step of mspec workflow — generate UI prototype HTML and collect feedbackdevelopmentgoVotes: 0GitHub stars: 4
Mspec TasksAtasks step of mspec workflow — produce tasks.md with anchor blocksdevelopmentVotes: 0GitHub stars: 4
Mspec ReviewAself-review step of mspec workflow — sanity-check all artifacts via subagentdevelopmentbashVotes: 0GitHub stars: 4
Mspec QuickstartAquickstart step of mspec workflow — write quickstart.mddevelopmentgoVotes: 0GitHub stars: 4
Mspec ProposalAproposal step of mspec workflow — clarify intent and write proposal.mddevelopmentgosecurityVotes: 0GitHub stars: 4