「appi」の検索結果

Perform business analysis — requirements gathering, process mapping, gap analysis, and stakeholder-ready documentation.

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。

Performs static analysis of binary code using radare2 and Ghidra — function enumeration, cross-reference tracing, decompilation, and control flow graphs without executing the binary. Use when disassembling or decompiling code, mapping functions, tracing data flow, or building hypotheses before dynamic verification.

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。

Assess supply chain risk exposure and resilience posture. Analyzes supplier dependency mapping (Tier 1/2/3), geographic concentration risk, single-source vulnerability, disruption scenario modeling (pandemic, trade war, port closure), Monte Carlo simulation.

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。

Audit personal finance and budgeting app spending intelligence features. Triggers: you need to evaluate transaction categorization accuracy (MCC mapping, ML classification, merchant matching).

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。

Runs a 5-phase enterprise compliance and security hardening pipeline: regulatory review, GDPR audit, SOC 2 evaluation, dependency scan, and penetration test with cross-framework control 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。

Analyze learning management and training pathway systems for prerequisite mapping, competency-based progression, adaptive sequencing, and credential stacking.

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。

Audit rural health network software for telehealth readiness, provider coverage mapping, patient transportation coordination, referral network optimization, Critical Access Hospital compliance, mobile clinic scheduling, and health equity metrics..

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。

Audit game narrative systems for technical quality -- branching dialogue trees, state/flag tracking, quest systems, choice-consequence mapping, localization pipelines, voice-over integration, and cinematic scripting..

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。

Analyze defense supply chain systems — DFARS compliance assessment, CMMC cybersecurity readiness, sole-source and DMSMS risk identification, counterfeit parts prevention per SAE AS6171, ITAR export control verification, and supplier tier 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。

Analyze behavioral segmentation systems for RFM scoring, cohort tracking, churn propensity, engagement scoring, persona clustering, and journey mapping using behavioral economics frameworks..

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。

Audit curriculum management software for learning outcome alignment, pacing guide optimization, standards coverage mapping (Common Core, NGSS, state standards), differentiation support, assessment design quality, and content gap detection across grade levels and subjects..

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。

Analyze compliance operations for regulatory change tracking, control mapping, policy management, audit readiness, and training compliance. Triggers: 'audit compliance program', 'assess GRC platform', 'review regulatory change management', 'check control framework'.

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。

Assess business impact of a proposed change. Use when the user says "impact assessment", "impact analysis", "what will this change affect", "change impact", "who is impacted", "ripple effects", "downstream impact", "impact mapping", "what breaks if we change this", "readiness for change" - even if they don't explicitly say "impact assessment".

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。

Map stakeholders by influence, interest, and communication needs. Use when the user says "stakeholder analysis", "stakeholder map", "power interest grid", "who are the stakeholders", "RACI matrix", "stakeholder engagement plan", "who needs to be involved", "communication plan for stakeholders", "influence mapping" - even if they don't explicitly say "stakeholder map".

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。

**WORKFLOW SKILL** — Structured context analysis before acting. USE FOR: questioning assumptions, mapping dependencies, identifying blind spots, validating scope of any task or subject. Use to contextualize, question, analyze before implementing, review premises, prevent hallucination, structured assessment. DO NOT USE FOR: simple tasks where task-intent suffices, direct implementation, code review.

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。

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".

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Blog strategy development including topic cluster architecture with hub-and-spoke design, audience mapping, competitive landscape analysis, AI citation surface strategy across ChatGPT/Perplexity/AI Overviews, distribution channel planning (YouTube, Reddit, review platforms for AI-citation SEO), content scoring targets, measurement framework, and content differentiation through original research and first-hand experience. Use when user says "blog strategy", "content strategy", "blog positioning", "what should I blog about", "blog topics", "content pillars", "blog ideation".

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Adapt and convert AI prompts between different models and platforms. Translates between Midjourney, Flux, Leonardo AI, DALL-E, Sora, Imagen, Stable Diffusion, Adobe Firefly, Ideogram, and more. Handles syntax differences, parameter mapping, and model-specific optimizations. Use when user says "adapt prompt", "convert prompt", "translate prompt", "port to flux", "midjourney to dall-e", or "change model".

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。

Migrates Android applications from the old, legacy Google Mobile Ads (GMA) SDK (com.google.android.gms:play-services-ads) to the new GMA Next-Gen SDK (com.google.android.libraries.ads.mobile.sdk:ads-mobile-sdk). Provides comprehensive mapping tables for imports, classes, and method signatures to help determine migration steps. Use when migrating an existing Android codebase from the old, legacy GMA SDK to GMA Next-Gen SDK.

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Guides agents through a 6-step discovery process to design and deploy Google Cloud global external Application Load Balancers with Cloud CDN, Cloud Armor, and Service Extensions, mapping workload requirements to best-practice configurations. Use when: - Designing, configuring, or deploying a Google Cloud global external Application Load Balancer, Cloud CDN, Cloud Armor WAF, or Service Extensions. - Discovering existing Google Cloud resources (Cloud Storage, MIGs, GKE, Cloud Run) to use as backends. - Generating production-grade Terraform HCL or gcloud CLI scripts for global external Application Load Balancers. - Actuating deployments via Infrastructure Manager or bash scripts, including IAM pre-checks. - Detecting, analyzing, or reconciling configuration drift on deployed global external Application Load Balancers. Don't use for: - Non-Google Cloud load balancing or security configurations. - Purely regional or internal load balancing setups (unless part of a hybrid/failover global design).

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。

Discovers golden base images for creating GKE custom node images based on technical specifications or context clues. Use when finding the golden base image for custom GKE node creation, mapping cluster configuration parameters (GKE version, OS, architecture, accelerators, gVisor, cgroups) to image names, or querying GKE base image maps. Don't use for general GKE cluster creation (use gke-cluster-creation) or standard node pool management (use gke-basics).

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 Agentforce run costs are climbing, you need to forecast scale, or you want to reduce tokens per conversation without hurting quality. Covers topic (now subagent) design impact on cost, prompt/template reuse, grounding size discipline, caching, and model-tier selection. Triggers: 'agentforce cost', 'tokens per conversation too high', 'reduce agentforce runs spend', 'forecast agentforce scale cost', 'einstein trust layer tokens'. NOT for capping spend per user with a budget gate and fallback — use agentforce/agent-rate-limit-strategy. NOT for org-wide model-tier and BYOLLM platform strategy — use architect/ai-platform-architecture.

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Use when designing how an Agentforce agent extracts structured input parameters (slots) from a user's natural-language utterance to invoke an action. Triggers: 'agent extract date from user', 'agent action argument extraction', 'agentforce slot filling', 'agent invocable input mapping', 'agent fails to fill required parameter'. NOT for action authoring (use agentforce/agent-actions) or for prompt-template variable binding (use agentforce/prompt-builder-templates).

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Configuring and running Pipeline Inspection in Sales Cloud: enabling the feature, mapping forecast categories into the inspection view, Days in Stage and other deal-change metrics, and pipeline review cadence for sales managers. Use when designing or improving how a team monitors deal health and pipeline movement. NOT for the Revenue Intelligence app, Einstein deal insights, or forecast-accuracy dashboards — use admin/revenue-intelligence-setup. NOT for forecast types, quotas, or forecast hierarchy setup — use admin/collaborative-forecasts. Keywords: pipeline review, coverage ratio, stage conversion, slippage, stale deals, days in stage, LastStageChangeInDays, LastStageChangeDate, AgeInDays, PushCount, ForecastCategoryName, enablePipelineInspection, PipelineInspMetricConfig, OpportunitySettings, review cadence, commit call.

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。