「dimensions」の検索結果

Fix generic Vue component designs by applying aesthetic upgrades across the 5 design dimensions (typography, color, motion, spatial composition, backgrounds)

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 distinctive, production-grade frontends by composing design dimensions and tech-specific implementations

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。

Fix generic HTML/CSS designs by applying aesthetic upgrades across the 5 design dimensions (typography, color, motion, spatial composition, backgrounds)

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。

Fix generic Svelte component designs by applying aesthetic upgrades across the 5 design dimensions (typography, color, motion, spatial composition, backgrounds)

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。

Fix generic React component designs by applying aesthetic upgrades across the 5 design dimensions (typography, color, motion, spatial composition, backgrounds)

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。

Fix generic frontend designs by applying aesthetic upgrades across the 5 design dimensions

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 a live website across 7 dimensions — SEO, performance, links, privacy, accessibility, security, content — with PASS/WARN/FAIL gates. Use when checking a deployed site's health or quality. Trigger on "audit my website", "site health", "check SEO", "is my site accessible", "website-health <url>".

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。

Holistic project audit across endpoints, versions, docs, security, quality, CI, and library dimensions. Use when checking overall project health or running a periodic cross-cutting audit. Trigger on "project health", "audit the project", "health check", "is this project in good shape".

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 customer health scores and churn risk models using leading indicators. Define health dimensions (Usage, Engagement, Support, Sentiment, Contract), weight and score customers, segment into Healthy / At-Risk / Red, and generate intervention playbooks. Use during QBR prep, customer success reviews, or when churn spikes.

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 data quality across six DAMA DMBOK dimensions — Completeness, Accuracy, Consistency, Timeliness, Validity, Uniqueness. Produces a scored data quality report with issue log and remediation plan. Use when profiling datasets, onboarding new data sources, or building data quality gates.

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Systematic fuzzing across two dimensions: (1) content discovery — hidden directories, files, backup/source leaks, HTTP verb enumeration, 401/403 bypass via path manipulation; (2) input validation — auth/token stripping, type confusion, boundary value analysis, HTTP parameter pollution, header fuzzing, cookie fuzzing, mass assignment discovery, and entropy/predictability analysis of any generated value. Works on any domain. Chains from /web-exploit or /pentester; chains into /business-logic when boundary violations, predictable IDs, or mass assignment are confirmed.

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Full instrumentation from day one. PostHog consolidates product analytics + feature flags + error tracking (one platform, one bill). GA4 via GTM (14-step automation, custom dimensions over events, server-side tagging). Sentry (deep error tracking + performance). Stripe (webhook-first with idempotent processing). Listmonk on Coolify (newsletters via Amazon SES SMTP relay). PLG 7-layer framework. Programmatic SEO (5 page types). Incident auto-remediation via Sentry→Inngest pipeline. AI search (GEO) awareness. Local business conversions (phone_click, direction_click, form_submit, booking_click) with CRO patterns for both SaaS and local.

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Orchestrate a whole-registry sweep of Gaia — fan out 13 parallel audit agents across every skill, run adversarial verification, surface Semantic Fusion candidates, propose new generic skill references, and synthesize a publish-ready HTML report under docs/meta/reports/. Use this skill for broad, systemic analysis across many skills at once: "run a meta sweep", "sweep the meta", "full meta audit", "audit the whole registry against META.md", "widespread nomenclature issues", "find all skills missing a GitHub link", "produce a meta report", "check for evidence type mismatches across the registry", "find skills that document a third-party tool with no attribution", or explicitly types /gaia-meta-sweep. This is the registry-wide macro companion to /gaia-meta-audit (a prioritized queue, single-pass) and /gaia-audit (fixes one skill). Use it when you need the full surface — 13 audit dimensions, adversarial verification, fusion proposals, and a durable findings artifact — not just a queue.

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Use when a task needs the judgment of a Dental Laboratory Technician — calculating wax pattern dimensions from a die measurement and alloy-specific casting shrinkage, rejecting a restoration built on a flawed impression or scan, verifying occlusal contacts against the articulator-mounted bite rather than sculpting by eye, or prioritizing value over hue when finalizing a shade match.

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Use when a task needs the judgment of a Molder, Shaper, or Caster (ceramics, concrete, and similar non-metal, non-plastic materials) — calculating mold/pattern dimensions from a material's actual characterized shrinkage rate, deciding whether a demolding decision should follow a fixed time or a material readiness signal, controlling drying/curing rate to avoid cracking on uneven-thickness parts, or verifying mold dimensional accuracy after extended use.

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根据用户已填写的基础身份和能力信息，AI推断学术动机、人格和认知风格维度。当用户不想填写量表、或希望快速估算时使用。

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Deep game design health assessment across five dimensions: review core loop and progression systems, analyze in-game economy for inflation and sink/source balance, mathematically simulate combat balance and drop rates, audit analytics event coverage, and evaluate monetization ethics..

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Build or refine the Ideal Customer Profile (ICP) and personas using the Jobs-to-be-Done framework (Clayton Christensen / Bob Moesta). Use when the user asks for ICP research, persona development, "who are our customers", buyer personas, audience research, "build our ICP", target customer definition, or wants to update persona docs. JTBD interview questions, three job dimensions (functional/emotional/social), and the Four Forces of Progress are wired into every persona. Writes to knowledge/icp/personas.md so all other skills get smarter. For the individual buyer persona rather than the segment, see customer-persona. For sourcing real customer language, see customer-research.

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Manages Google Analytics account and property settings, enables the Analytics Admin API via the Cloud CLI, lists accounts and properties, and manages data streams, custom dimensions, conversion events, and integrations. Use when you need to programmatically configure Google Analytics accounts, provision properties, manage data retention, configure Measurement Protocol secrets, or manage Firebase and Google Ads links.

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Use this skill when designing or documenting a lead scoring model in Salesforce Sales Cloud or Account Engagement: qualifying criteria, MQL/SQL threshold definitions, scoring dimensions (demographic, firmographic, behavioral), and sales handoff SLA. NOT for configuring the scoring, grading, and automation rules in Account Engagement — use admin/mcae-lead-scoring-and-grading. NOT for the whole marketing program's lifecycle stages and platform scope — use admin/marketing-automation-requirements.

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Identify, score, and prioritize Salesforce AI use cases before any implementation begins — opportunity identification, Impact-Effort matrix scoring, feasibility evaluation across Technical/Operational/Data/Risk dimensions, and ROI framing. NOT for the license checks and enablement steps once a use case is approved — use agentforce/agentforce-service-ai-setup or agentforce/agentforce-sales-ai-setup. NOT for making the data model AI-ready — use architect/ai-ready-data-architecture.

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Use this skill to define, document, and validate KPI metrics for CRM Analytics — covering metric formula design, dimension selection, target-dataset modeling, benchmark setting, and the KPI register that must exist before any dashboard or lens is built. Trigger keywords: KPI definition CRM Analytics, analytics metric design, analytics target attainment, CRM Analytics measures vs dimensions, analytics benchmark. NOT for laying out the dashboard or lens itself — use admin/analytics-dashboard-design. NOT for scoping data sources, audiences, and drill-down paths — use admin/analytics-requirements-gathering.

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Improve an existing agent SKILL.md through one gated cycle: select the target (default this skill), snapshot the committed baseline, diagnose against skill-design-principles plus four rubric dimensions, apply exactly one focused change, and ship only if a different agent than the author PASSes with quoted evidence. Use when the user says "improve this skill", "improve-skill", "iterate on SKILL.md", or "apply skill-design-principles to a skill". Do not use for code slop over a duration (anneal), generic timeboxed work (timeboxed-iterating), graph orchestration (workgraph), metric hill-climb on a codebase (autoresearch), or stripping slop from existing prose (catalog-deslop).

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Run a structured AI readiness audit for any organization. Scores 8 dimensions, identifies gaps, produces a prioritized 90-day action plan with budget ranges.

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。