「map」の検索結果

Expert-level complex analysis knowledge. Use when working with complex functions, holomorphic functions, Cauchy's theorem, contour integration, Laurent series, residues, conformal mappings, or analytic continuation. Also use when the user mentions 'holomorphic', 'analytic', 'Cauchy theorem', 'residue', 'contour integral', 'Laurent series', 'conformal map', 'Riemann mapping', 'Mobius transformation', 'harmonic function', 'entire function', or 'meromorphic'.

日本語の概要は準備中です。原文の説明を表示しています。

Use when materialising a roadmap into a ticket bundle — 'turn this roadmap into tickets', 'materialise tickets', 'mach Tickets aus der Roadmap', 'emit tickets for this plan'.

日本語の概要は準備中です。原文の説明を表示しています。

The map of nuxt-crouton's GitHub workflows and the deploy-pipeline anatomy — what each workflow gates, how a merge reaches Cloudflare, which secrets/tokens exist where, and how the agent-pipeline workflows chain. Use when a CI check fails and you need to know what it is, when asked "which workflow deploys X / why did staging update / what does this check gate / where is that secret / why didn't my label trigger anything", when wiring a new app into CI, or when debugging a deploy that never fired. Trigger phrases: "what runs on merge to main", "map of the workflows", "WORKER_SECRETS_JSON", "why is the daily sweep not running", "deploy-apps vs deploy-app", "which token does this workflow use".

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Map advanced persistent threat (APT) group tactics, techniques, and procedures (TTPs) to the MITRE ATT&CK framework using the ATT&CK Navigator and attackcti Python library. The analyst queries STIX/TAXII data for group-technique associations, generates Navigator layer files for visualization, and compares defensive coverage against adversary profiles. Activates for requests involving APT TTP mapping, ATT&CK Navigator layers, threat actor profiling, or MITRE technique coverage analysis.

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Interactively build a Narrative identity graph workflow from one or more first-party datasets and (optionally) third-party data sources. Confirms each input dataset is mapped to the Rosetta Stone graph edge attribute (mapping it via /generate-rosetta-stone-mappings if not), then composes and submits a workflow that unions every edge source and labels connected components. Use when: "build an identity graph", "generate an identity graph", "create an identity graph", "stitch these datasets into a graph", "make a graph workflow", "label connected components on these datasets", "I want a person graph / household graph / device graph". (narrative-identity)

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Keep decision maps as concise routers from decisions to canonical documents and validation guardrails.

日本語の概要は準備中です。原文の説明を表示しています。

Pflege-Skill, der das dreiteilige Skill-Register konsistent hält (code-skill-index-Kataloge, Skill-Index, SKILL-MAP Family-/Routing-Map). Nutze diesen Skill für einen Drift-Check zwischen dem realen Skill-Inventar und dem dokumentierten Register: fehlende oder zu viele Einträge melden, Counts korrigieren, Stand-Datum setzen. Auch auslösen bei „Skill-Register pflegen", „Index aktualisieren", „Register-Drift prüfen", „welche Skills fehlen in der Map".

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ドメインマッピングエージェント - ドメイン分類、境界づけられたコンテキスト、コンテキストマップの作成。/map-domains [対象パス] で呼び出し。

Map repository structure, likely tests, git state, and write scope before edits. Use when asked for repo mapping, blast radius, file inventory, or change planning.

日本語の概要は準備中です。原文の説明を表示しています。

Registers a custom JetFormBuilder Form Action — a server-side handler that runs after submit (send to API, subscribe to CRM, write to a sheet, etc.). Covers extending Base action class, declaring settings via action_attributes(), implementing do_action() with Action_Exception error reporting, building the action-editor React panel via window.JetFBActions.addAction(), the two field-mapping patterns (dynamic "Add row" like Google Sheets vs fixed-key pattern like Fluent CRM with predefined target fields), looking up the form's current fields via the useFields() hook, multi-select with FormLabeledTokenField, plus the category/docHref convention. Use when scaffolding a JFB integration plugin (Mailchimp, Slack, custom API, payment processor, CRM subscribe). Triggers on mentions of "JFB action", "jet-form-builder/actions/register", "Base_Action", "JetFBActions.addAction", "Action_Exception", "field map", or "fields_map".

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Use when the user asks to "map our positioning", "name our competitive alternatives", or "pick a beachhead segment for the launch"; produces a Dunford-style positioning canvas — named competitive alternatives (including spreadsheet and status quo), unique attributes (verifiable, or routed to the claims ledger), value themes (attribute→benefit→value chains), a target beachhead segment scored on serviceability / pain intensity / reachability, and a one-sentence onlyness statement — the sole upstream of the message house and the entity-signal source for the canonical entity profile. Not for the message house or per-channel launch copy — use message-house-builder; not for audience/persona profiling itself — use audience-mapper; not for SEO keyword positioning — use keyword-research. 定位画布/竞争替代品/独特价值/滩头细分

日本語の概要は準備中です。原文の説明を表示しています。

Azure Maps SDK for .NET. Location-based services including geocoding, routing, rendering, geolocation, and weather. Use for address search, directions, map tiles, IP geolocation, and weather data.

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Discover and filter URLs on a known website through Tavily without extracting every page. Use to locate a specific subpage, inspect site structure, or prepare a bounded map-then-extract workflow.

日本語の概要は準備中です。原文の説明を表示しています。

Refresh a safe, concise map of this GCI World 2026 workspace before deeper course, assignment, or dataset work.

日本語の概要は準備中です。原文の説明を表示しています。

Scope the real change surface before editing. Use when planning a feature, bugfix, refactor, or review and you need a concrete map of likely touch points, dependencies, tests, and nearby risks.

日本語の概要は準備中です。原文の説明を表示しています。

This skill should be used when the user asks to "automate SQL injection testing," "enumerate database structure," "extract database credentials using sqlmap," "dump tables and columns from a vulnerable database," or "perform automated database penetration testing." It provides comprehensive guidance for using SQLMap to detect and exploit SQL injection vulnerabilities.

日本語の概要は準備中です。原文の説明を表示しています。

Azure Maps SDK for .NET. Location-based services including geocoding, routing, rendering, geolocation, and weather. Use for address search, directions, map tiles, IP geolocation, and weather data.

日本語の概要は準備中です。原文の説明を表示しています。

ドメインマッピングエージェント - ドメイン分類、境界づけられたコンテキスト、コンテキストマップの作成。/map-domains [対象パス] で呼び出し。

Map advanced persistent threat (APT) group tactics, techniques, and procedures (TTPs) to the MITRE ATT&CK framework using the ATT&CK Navigator and attackcti Python library. The analyst queries STIX/TAXII data for group-technique associations, generates Navigator layer files for visualization, and compares defensive coverage against adversary profiles. Activates for requests involving APT TTP mapping, ATT&CK Navigator layers, threat actor profiling, or MITRE technique coverage analysis.

日本語の概要は準備中です。原文の説明を表示しています。

Select colormaps and qualitative palettes for scientific figures using perceptual-uniformity, color-vision-deficiency safety, and luminance-monotonicity criteria. Covers Crameri scientific colormaps, viridis/cividis/magma, Okabe-Ito categorical, ColorBrewer, and the rainbow/jet critique. Use when choosing palettes for heatmaps, scatter, networks, or any encoding where color carries quantitative or categorical meaning.

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Python library for working with geospatial vector data including shapefiles, GeoJSON, and GeoPackage files. Use when working with geographic data for spatial analysis, geometric operations, coordinate transformations, spatial joins, overlay operations, choropleth mapping, or any task involving reading/writing/analyzing vector geographic data. Supports PostGIS databases, interactive maps, and integration with matplotlib/folium/cartopy. Use for tasks like buffer analysis, spatial joins between datasets, dissolving boundaries, clipping data, calculating areas/distances, reprojecting coordinate systems, creating maps, or converting between spatial file formats.

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Maps query single-cell data onto reference atlases and transfers cell-type labels using scArches surgery (scVI/scANVI), Symphony, Azimuth, CellTypist, scPoli, popV, and foundation models, with explicit out-of-distribution and label-transfer uncertainty. Use when annotating new single-cell datasets against a pre-trained reference, deciding which mapping method fits, or judging whether transferred labels are trustworthy. For de novo clustering and manual annotation see single-cell/cell-annotation; for batch integration without a reference see single-cell/batch-integration.

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UMAP dimensionality reduction. Fast nonlinear manifold learning for 2D/3D visualization, clustering preprocessing (HDBSCAN), supervised/parametric UMAP, for high-dimensional data.

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Cooks and packages a shippable CARLA server from a UE 5.8 ue58-dev checkout via the CMake `package` targets (shipping/development/debug/test), scoping the cook with CARLA_MAPS_TO_COOK, and inspects an existing package for the failures a green build hides — stale pak/ucas mismatch, missing staged OpenDrive/TM road data, missing post-process profiles, and Town15's uncookable content. Use when the user asks to "package CARLA UE5", "cook a map", "build a shipping server", "make a distributable CARLA", or a package builds but renders black / has no maps.

日本語の概要は準備中です。原文の説明を表示しています。