664 件 ・ 関連度順
概要と使いどころ
Optimize content for AI-generated responses and LLM citations (ChatGPT, Perplexity, Google AI Overview, Claude, Gemini). Use when the user mentions 'GEO', 'AEO', 'AI SEO', 'LLM optimization', 'citation rate', 'AI visibility', 'optimize for ChatGPT', 'roundup pages', or wants to audit pages for AI discoverability. Includes terminology alignment, FAQ schemas, and community signal strategies.
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。
用户在选择合作伙伴、投资管理层、或评估是否应该与某人/某组织建立长期关系时。 语言信号:"这个管理层怎么样"/"要不要和这个人合作"/"两个机会选哪个"/"信任怎么验证" 不适用于:不需要长期关系评估的纯交易性决策。
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。
Validates a UX spec, HUD design, or interaction pattern library for completeness, accessibility compliance, GDD alignment, and implementation readiness. Produces APPROVED / NEEDS REVISION / MAJOR REVISION NEEDED verdict with specific gaps.
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。
Systematic code review skill covering both requesting a review (pre-commit checklist) and receiving and responding to review feedback. Checks code quality, security, test coverage, architectural alignment, and documentation before any code is committed.
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。
Tokenomics Designer: Token supply, utility, emissions, vesting, governance and incentive alignment.
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。
Turn multiview fit reports into a sequential or parallel repair queue for aligning Blender products to source-of-truth templates. Use after validation shows disalignment, when the agent must iteratively fix wireframe, texture, lighting, or projection mismatches, and when skill gaps should trigger self-refinement before another rebuild.
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。
Develop TPACK for integrating a specific technology or AI tool into subject teaching with pedagogical alignment. Use when adopting new ed-tech, reviewing AI tools, or planning technology integration.
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。
Structure a student's self-determined project with mentoring checkpoints, competency alignment, and reflection. Use when guiding student-led projects within a competency-based 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。
Tags harness-decomposed curriculum items (KUDs, LTs, criteria) with a school's developmental band metadata while preserving source voice and labels. Supply the band schema; the skill derives mapping rules from it.
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。
Plan a unit using backwards design from desired outcomes through assessment evidence to learning activities. Use when starting a new unit or redesigning an existing one from standards.
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。
Takes a curriculum framework and a statutory or accreditation requirement list; produces a coverage table, gap summary, and CSV showing which framework content covers each requirement and where gaps exist.
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 proposed assessment for construct validity, reliability, and alignment to learning objectives. Use when reviewing or quality-assuring assessments before deployment.
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 contract-driven compliance review of insurance certificates and endorsements against CRE/site-access and vendor agreement requirements. Produces pass/fail/conditional determinations, deficit lists, and broker-ready remediation instructions. Use when reviewing COI packets, ACORD 25 forms, or endorsements for additional insured, primary and non-contributory, waiver of subrogation, completed operations, umbrella alignment, limits adequacy, or insurer rating compliance. Trigger terms: COI, ACORD, additional insured, certificate holder, cancellation notice.
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。
Quantify cyber risk using FAIR methodology with Monte Carlo simulation, assess control effectiveness against NIST CSF/CIS/ISO 27001 frameworks, evaluate risk appetite alignment, and analyze cyber insurance coverage adequacy. Covers threat landscape mapping, asset valuation, loss event frequency and magnitude estimation, annualized loss expectancy calculation, control gap analysis with ROI ranking, residual risk assessment, and insurance policy gap modeling at 90th/95th/99th percentile loss scenarios. Use when building risk registers, preparing board-level risk dashboards, evaluating security investment priorities, assessing cyber insurance coverage, or auditing any organization's risk quantification maturity per NIST RMF, ISO 27005, or FAIR standards.
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。
Reviews CRE insurance certificates (ACORD 25) and endorsements against Access Agreement insurance requirements, producing a pass/fail compliance determination with broker-ready deficiency instructions. Verifies coverage limits, Additional Insured status, primary/non-contributory language, waiver of subrogation, umbrella alignment, and carrier qualifications. Use when reviewing COIs, ACORD forms, vendor or contractor insurance, site access insurance, or Additional Insured endorsements in commercial real estate transactions.
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, edit, redesign, render, and verify content-led, structurally diverse, clean, editable, reproducible PowerPoint `.pptx` decks. Use for scientific, lab, clinical, consulting, board, investor, editorial, policy, and operational presentations where alignment, readability, contrast, and balanced density matter.
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 asked to audit UI for visual quality, check design consistency, review brand alignment, evaluate design system compliance, or find visual issues before a launch. Examples: "audit our UI", "check visual consistency", "review the design for issues", "is our UI on-brand", "find visual bugs", "design QA before launch".
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。
Spec or critique custom illustrations — style, composition, and brand alignment. Use when asked to "spec an illustration", "critique this illustration", or "define an illustration style".
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。
Expert guide for synthetic dataset generation, LLM-as-a-judge filtering, QLoRA fine-tuning (Unsloth), DPO alignment, and GGUF/Ollama export for local SLMs / Panduan ahli generasi data sintetis, fine-tuning QLoRA, DPO, dan ekspor GGUF/Ollama.
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。
Cards, rows, tiles and cells are fixed slot models that stay aligned when content length varies. Use when building or reviewing any repeated component.
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。
Traditional Chinese internal arts — tai chi chuan and qigong — as transmitted by classical lineages (Chen, Yang, Wu, Wu/Hao, Sun for tai chi; Ba Duan Jin, Yi Jin Jing, Liu Zi Jue, Wu Qin Xi, and other named sets for qigong) with an emphasis on alignment, rooted stance, breath-posture-mind coordination (the three harmonies), and the traditional lineage voice that Dr. Yang Jwing-Ming's YMAA line preserves. Also covers the safety boundary between traditional practice and clinical "medical qigong" claims. Use for queries about tai chi form learning, qigong set selection, internal-arts pedagogy, and the practical question of where to start.
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。
Adhoc workflow for small targeted changes to existing behavior or appearance, without the full story ceremony. Use when the orchestrator encounters a bug with a clear root cause and surgical solution, OR a small enhancement to something already built (a different icon, wording, spacing, color). Triggers on: 'fix this', 'this is broken', 'the alignment is off', 'that button doesn't work', 'quick fix', 'patch this', 'tweak this', 'change the icon', 'adjust the wording', post-story corrections, or any situation where the write gate blocks a small targeted change. Acts NOW - a defect to file and fix later belongs in /craft:bugs, other deferred work in the notebook. Do NOT use for new features, design exploration, or changes requiring creative spark.
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。
Enforce mandatory pre-action verification checkpoints to prevent pattern-matching from overriding explicit reasoning. Use this skill when about to execute implementation actions (Bash, Write, Edit) to verify hypothesis-action alignment. Blocks execution when hypothesis unverified or action targets different system than hypothesis identified. Critical for preventing cognitive dissonance where correct diagnosis leads to wrong implementation.
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。
Turns a raw Qualtrics conjoint export into analysis-ready long-format data: implementation identification, reshaping, choice-profile alignment, reference categories, and pilot exclusion. Use when a conjoint CSV needs cleaning, reshaping, or debugging before AMCE estimation.
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。