「map」の検索結果

Maps intelligence for local SEO: geo-grid rank tracking, GBP profile auditing via API, review intelligence across Google/Tripadvisor/Trustpilot, cross-platform NAP verification, competitor radius mapping, and LocalBusiness schema generation. Three tiers: free (Overpass + Geoapify), DataForSEO, and DataForSEO + Google. Use when user says "maps", "geo-grid", "rank tracking", "GBP audit", "review velocity", "competitor radius", or "SoLV".

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 configuring Slack-specific Agentforce capabilities AFTER the basic Slack deployment is complete: enabling Slack-native actions, managing public vs. private action scope, mapping Salesforce-to-Slack user identity, or troubleshooting Slack action failures. Triggers: 'add General Slack Actions topic to agent', 'configure canvas creation for Agentforce in Slack', 'Agentforce private action requires user identity mapping', 'Slack agent cannot send DMs after deployment', 'Agentforce Look Up User action not working in Slack', 'how to map Slack users to Salesforce identities for private actions'. NOT for the initial Slack OAuth install, DM vs channel-mention mode, or core agent setup — use agentforce/agent-channel-deployment. NOT for sending a Slack message or creating a channel from a Flow — use flow/flow-for-slack.

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。

Eliciting and documenting a sales process before it is built in Salesforce: stage sequencing, entry/exit criteria per stage, win/loss analysis requirements, and stage transition rules. Trigger keywords: sales process design, stage discovery, entry criteria, exit criteria, stage gate, win/loss categorisation, sales methodology, pipeline stages, opportunity stage mapping, stage ladder, probability ladder, forecast category mapping, required fields per stage, stage swim lane, discovery workshop, handoff brief. NOT for configuring OpportunityStage, Sales Processes or Path in Setup — use admin/opportunity-management. NOT for cross-functional swim-lane maps — use admin/process-flow-as-is-to-be.

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。

Documenting As-Is and To-Be business processes for a Salesforce project as swim-lane diagrams — one lane per actor, explicit decision points, parallel and exception/sad paths, and per-step automation-tier annotations that drive downstream build decisions. Trigger keywords: As-Is To-Be salesforce process, swim lane salesforce, business process map, automation candidate identification, sad path documentation, process actor mapping, manual residue. NOT for Opportunity stage and exit-criteria design — use admin/sales-process-mapping. NOT for picking Flow vs Apex for one requirement — use admin/process-automation-selection.

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。

Build Salesforce-anchored personas and journey maps where every persona ties to a Permission Set Group, primary record types, list views, dashboards, automation, and a measured mobile/desktop posture, and journeys walk each task end-to-end with friction tags that drive UX decisions. NOT for stakeholder authority / RACI (use admin/stakeholder-raci-for-sf-projects), NOT for system-side process flows (use admin/process-flow-as-is-to-be), NOT for Lightning page design itself (use admin/lightning-app-builder-advanced or the lightning-record-page-auditor agent), NOT for pure design / UX research disconnected from org artifacts.

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。

Configuring Salesforce lead management and conversion in Setup: lead settings, web-to-lead, conversion field mapping, lead queues, auto-response rules, lead processes. Trigger keywords: web-to-lead, lead conversion, lead field mapping, lead settings, lead process, lead queue, lead auto-response. NOT for Apex that controls what conversion creates - use apex/lead-conversion-customization. NOT for lead assignment rule logic - use admin/assignment-rules. NOT for duplicate rule configuration - use admin/duplicate-management. Also covers: LeadConvertSettings objectMapping XML, LeadConfigSettings, LeadStatus StandardValueSet converted flag, lead process BusinessProcess, Database.convertLead bulk conversion limits.

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。

Create and own the master game design document (GAME.md — the authored one-pager plus the generated [gen] system/flow maps) and the GD-IDS.yaml facts registry — the top-level, big-picture layer of the GDD and the machine interface the code side reads. Use it to write the master spec from a concept or dialogue, import an existing GDD (a file path or URL), edit GAME.md content ("change a pillar", "rework the monetization stance", "tweak the loop stack"), pitch the game ("pitch" → PITCH.md), re-decompose the systems ("remap"), and — importantly — to add a new system to the design map ("let's add a new system", "add a crafting system to the game design", "add this to the GDD"). This is the structural, map-level layer plus GAME.md content edits. To write or fill in the detailed parameters of one existing system, use /unikit-gd-system; to apply one edit spanning several zones at once use /unikit-gd-apply; to invent a brand-new game concept use /unikit-gd-brainstorm.

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。

Create or update a strategic project roadmap with major milestones. Generates .unikit/ROADMAP.md — a high-level checklist of project goals. Use when user says "roadmap", "project plan", "milestones", "what to build next", "strategic goals", or wants to see big-picture progress. Also use when the user asks to check which milestones are done or wants to plan the overall project direction.

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。

Process, analyze, and visualize geospatial data at scale. Handles drone imagery, GPS tracks, GeoJSON optimization, coordinate transformations, and tile generation. Use for mapping apps, drone data processing, location-based services. Activate on "geospatial", "GIS", "PostGIS", "GeoJSON", "map tiles", "coordinate systems". NOT for simple address validation, basic distance calculations, or static map embeds.

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Visualises RNA-modification data with transcript-feature metagene plots (Guitar GuitarPlot; MetaPlotR; deepTools computeMatrix scale-regions), peak-centred heatmaps (ComplexHeatmap; deepTools plotHeatmap), IP-vs-input paired browser tracks (log2 IP/input bigWig via deepTools bamCompare; pyGenomeTracks; Gviz; IGV/UCSC track hubs), DRACH sequence-logo plots (ggseqlogo; MEME), feature-distribution stacked bars, and volcano/MA plots for differential modification. Establishes stop-codon enrichment in the metagene plot as the biological QC anchor for any MeRIP dataset (Dominissini 2012; Meyer 2012). Use when producing the canonical metagene plot with stop-codon enrichment as a QC anchor, building paired IP/input genome-browser tracks at single-locus resolution, plotting peak-centred heatmaps clustered by condition, summarising peak distribution across transcript features, generating DRACH motif logos as sanity checks, rendering volcano plots of differential m6A, or reproducing the stop-codon enrichment plot.

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。

Resolves GWAS associations to candidate causal variants and credible sets via SuSiE, susie_rss, FINEMAP, CAVIAR, DAP-G, PAINTOR, PolyFun, SuSiEx, MultiSuSiE, and FOCUS. Use when narrowing a GWAS lead SNP to a 95 percent credible set, choosing between in-sample and reference LD, calibrating non-sparse loci with SuSiE-inf or FINEMAP-inf, integrating functional priors via PolyFun, fine-mapping across ancestries with SuSiEx, diagnosing LD mismatch via estimate_s_rss and kriging_rss, handling HLA or long-range LD, or feeding credible sets into coloc.susie for colocalization.

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。

Calculate the Maryland Aggregate Pathology Index (MAPI) on a deceased donor procurement kidney biopsy to predict graft survival and decide single vs dual vs discard allocation. Trigger when a clinician asks "what's the MAPI score", "interpret donor kidney biopsy", "should I use this marginal kidney", "MAPI cutoff for transplant", "procurement biopsy scoring", or has histology results from a deceased donor kidney and needs an objective grading.

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。

Propose the next dependency-ready sprint from the ALREADY-DECOMPOSED roadmap — standup's active sibling. Reads docs/roadmap-execution-plan.md + the memory backlog, computes per-task readiness from the roadmap's machine-readable status, orders with roadmap-planner's graph engine, and emits a proposed task-set (sprint-plan manifest shape) with per-feature done-criteria, excluding unready tasks and naming their unmet prerequisite. PROPOSES ONLY — the human confirms/edits before /triage routes it (typically to the `power` track). Distinct from `sprint-plan`, which decomposes a fresh vision.

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Use when authoring or rewriting a roadmap in agents/roadmaps/ — phases, goal, acceptance criteria, council notes; fires even on 'write a plan for X' / 'draft a roadmap'.

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。

Validate Commodore 64 memory map, PLA/bank switching, 6510 port $0000/$0001 behavior, VIC bank selection, color RAM, ROM/RAM overlays, cartridge mapping, and mirrored I/O in the EMULATORS C64 namespace. Use when Codex reviews or edits C64 memory, PLA, CPU-visible address decoding, VIC-visible memory, color memory, char ROM, cartridge, expansion I/O, or mapped chip register behavior.

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。

Wardley Mapping for strategic positioning — map your value chain from customer need to underlying components, plot where each component sits on the evolution curve (novel to commodity), and spot the strategic plays that movement creates. Use this skill when someone wants to understand where their industry is heading, whether they're building things they should be buying, where competitors are vulnerable, what's about to become commoditised, or why their competitive advantage is eroding. Triggers on questions about build-vs-buy, component evolution, value chain analysis, commoditisation risk, or strategic positioning relative to market movement. Three modes — full diagnostic (build a map from scratch), review (update positions and reassess), and alert triggers (set tripwires for when components move). Based on practice by Eterdis (eterdis.com).

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。

Builds a DRAFT stakeholder map for one project from the charter, organisation chart, RACI, governance terms, steering minutes, meeting notes and messages the user provides: a stakeholder register, interest and influence ratings each with its stated basis, stance as evidenced by a verbatim fragment with source and date, gaps, and a proposed engagement plan per stakeholder, every line traced to a source and every missing fact marked UNKNOWN. Use when the user asks to "build the stakeholder map", "who are the stakeholders on this project", "map interest and influence", "where does each stakeholder stand", "draft the stakeholder engagement plan" or "refresh the stakeholder register". Do not use for a customer account's stakeholders, use account-plan-builder instead; for a one-page brief before one meeting, use meeting-prep-onepager; for logging decisions and risks against the project, use project-status-tracker. Drafts for human review; never approves, authorises or signs off.

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。

Builds an evidence map for one document, section or contested claim: every factual claim extracted verbatim and numbered, its supporting passage in the supplied sources or UNKNOWN, the strength of that support as evidenced, contradictions between sources, and the specific question or document that would close each gap, returned in the chat as Markdown tables for the author or reviewer. Use when the user asks to "check what this document actually proves", "map the evidence behind these claims", "which of these statements are supported", "build an evidence map", "what would we need to back this up" or "is this claim substantiated". Do not use for requesting evidence of security controls from control owners, use control-evidence-request-pack instead. Drafts for human review; never approves, authorises or signs off.

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 the user asks to "map what our buyers believe", "capture the objections we keep hearing", or "find the switching forces that move the beachhead"; produces a belief map of the beachhead — held beliefs and mental models, the recurring objections and their reframes, and the JTBD four forces (push of the problem, pull of the new, anxiety of switching, habit of the present) — each item sourced from interviews or win-loss notes (User-provided) and labeled Measured / User-provided / Estimated, with any unverified quote or comparative claim marked "[needs source]" and routed to the claims candidates, never adjudicated here. Not for demographic or persona profiling — use audience-mapper; not for the positioning canvas — use positioning-truth-tracer. 受众信念/异议地图/切换四力/流失语言

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Map tasks to specialist agents. Use when choosing which agent for a job, comparing agent capabilities, or routing to React/Next.js/Playwright/docs/code-quality experts. Keywords: which agent, best agent for this, delegate to expert, agent capability mapping.

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。

Edit maps, map prototypes, grids, placements, entity references, and serialized compatibility safely.

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Use when you need to design, review, or improve validation in Quarkus applications — including Bean Validation on JAX-RS resources, @Valid on parameters and CDI beans, constraint groups, @ConfigMapping validation, custom constraints, nested DTO validation, and ExceptionMapper-based error mapping. This should trigger for requests such as Add validation support in Quarkus; Review Quarkus validation rules; Improve request validation in Quarkus REST APIs; Add custom validation constraints in Quarkus; Validate Quarkus @ConfigMapping properties. Part of cursor-rules-java project

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。

Apple アプリサービスリファレンス。StoreKit 2、CloudKit、WidgetKit、ActivityKit、 User Notifications、Core Location、MapKit、HealthKit、Sign in with Apple。 Product, Transaction, CKRecord, Widget, TimelineProvider, CLLocationManager, Map, HKHealthStore, ASAuthorizationController, UNUserNotificationCenter。

Turns Hi-C/Micro-C FASTQ into a deduplicated, filtered .pairs file with pairtools and decides whether the library worked. Covers the bwa mem -SP5M / bwa-mem2 / chromap --preset hic alignment idiom (mates mapped as independent single-end reads), pairtools parse vs parse2 and the walks-policy choice (5unique pairwise vs all for Pore-C/Micro-C concatemers), pair-type classification (keep UU and rescued UC), dedup (PCR vs optical/by-tile), select by pair_type/MAPQ/distance, restriction-fragment handling (restrict, Arima dual-enzyme, Micro-C/DNase fragment-free), and allele-specific phasing (pairtools phase to two coolers). The library-QC decision uses % long-range cis as the one-number quality metric, trans as the noise floor, orientation balance as fragment-map-free dangling-end/self-circle QC, and % duplicates as a complexity proxy. Use when processing Hi-C/Micro-C/Omni-C reads into pairs, judging library quality, handling multi-enzyme or restriction-agnostic protocols, or generating allele-specific contacts.

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。