1,642 件 ・ 関連度順
概要と使いどころ
Handles public relations, media outreach, press releases, and earned media strategy for SMEs. Creates press releases, media pitches, spokesperson briefings, crisis communication plans, and event communications. Use when user asks about PR, press releases, media relations, journalist outreach, crisis communication, or public-facing communications.
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。
Creates marketing analytics reports, KPI dashboards, ROI calculations, and performance summaries for SME marketing teams. Handles weekly/monthly reporting, campaign analysis, content performance reviews, and data-driven recommendations. Use when user asks about marketing metrics, reporting, KPIs, dashboards, ROI analysis, performance review, or data-driven marketing decisions.
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。
Guides continuous improvement and change management for SMEs adopting AI. Applies Marginal Gains philosophy, Kaizen principles, and structured sprint methodologies to organizational transformation. Use when user asks about change management, continuous improvement, AI adoption strategy, team resistance, transformation roadmaps, or improvement sprints.
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。
Creates LinkedIn posts, thought leadership content, and editorial calendars for SME marketing. Covers 7 post types (Awareness, Personal Story, Education, Conversion, How We Do It, Building In Public, Lead Magnet) with complete graphic prompts, first comments, and CTAs. Use when user asks to write social media posts, plan content calendars, create LinkedIn content, or develop thought leadership pieces.
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。
Creates ad copy, Google Ads RSA headlines, A/B test plans, and campaign analysis for SME performance marketing. Handles paid search, paid social, email campaigns, and SEO content. Use when user asks about ads, campaigns, Google Ads, paid media, SEO, conversion optimization, or marketing performance 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。
Enforce traceability from natural-language intent to machine predicates, final observables, evidence, and owner-readable acceptance. Use when conducting any audit, review, QA pass, parity or compliance check, security assessment, code or architecture review, visual or behavioral comparison, data validation, system verification, completion gate, or claim that an implementation satisfies a human request.
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。
Specialized GitHub PR intelligence agent for automatically gathering comprehensive context from Pull Requests. Activate when users need CI failure analysis, review comment investigation, or PR status assessment. Triggers on requests like "CI 실패 원인 찾아줘", "gather review comments", "check PR status", "analyze PR".
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。
[Content] Use when you need to build structured learning/teaching course material with Bloom taxonomy objectives, modules, lessons, exercises, and assessments.
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 company records into structured company research summaries. Use when the user provides company names or records and wants a consistent overview, market position, and relevance 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。
医学证据等级排序与编排层 skill - evidence grading orchestrator. 当用户请求"证据等级 / GRADE / 证据排序 / 医学证据评估 / 系统评价排序 / 临床证据排序 / 证据金字塔 / 给 PMID 打分 / Practice Guideline 优先 / Cochrane 优先 / 反向证据交叉验证 / evidence grading / quality of evidence / evidence pyramid / GRADE assessment / Cochrane review ranking / clinical evidence ranking"时,**调用本 skill 进行医学证据自动分级,自动选择最佳信息源**。本 skill 是编排层(L2)·不直接打 NCBI/Europe PMC/ClinicalTrials API,而是编排 6 个底层原子 skill(pubmed-eutils / europepmc-search / clinical-trials-v2 / aact-bulk-trials / bioc-fulltext-fetch / pubtator-entity-search)的召回结果,按证据金字塔(指南 > Meta > RCT > Cohort > Case-Control > Case Report)做 GRADE A/B/C/D 自动评级,自动剔除 editorial/letter/comment。优先使用 BioMCP MCP server 做 fan-out(genomoncology/biomcp);无 BioMCP 时走自建 slow-path 兜底。跨平台无锁(Claude Code / Codex / Gemini CLI)。
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。
Content quality and E-E-A-T assessment for AI citability — evaluate experience, expertise, authoritativeness, trustworthiness, and content structure
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。
SOP for the architect-tier campaign workflow (/campaign): exhaustive survey, mitigation planning, tiered orchestration, and reconciliation. Trigger when: - Running a multi-workstream initiative where an expensive architect-tier council surveys, plans, emits worker prompts, and judges landed work. - Conducting production-readiness assessments that fan out into autonomous mitigation dispatches across model tiers. - Prompt contains: /campaign, campaign workflow, survey, orchestrate, reconcile, premise freshness, tier routing, worker IBC, scratch.
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。
Phased risk-centric security assessment framework. Trigger when: - Auditing code for vulnerabilities, checking SQL injection, access control, or buffer overflows. - Prompt contains: /security-audit, security audit, taint analysis, threat model, vulnerability.
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 LAW a council SEAT is bound by — deliberation protocol, pact obligations, governance, and decision-ledger recording — the discipline half of a seat. Trigger when: - Holding a seat on a bound council (architect, lead-maintainer, process-auditor, or a summoned guest). - Depositing an independent assessment, routing a decision, or recording assent or a finding. - Auditing whether the council honored the pact, the delegation table, or the barring lifecycle. - Prompt contains: /council, council seat, deliberation protocol, pact, delegation table, decision ledger, barring, merge-consent.
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。
AID Phase 3 - Implementation Planning with consolidation-first approach. Resolves contradictions between PRD and Tech Spec, creates consolidated master document, then breaks down into actionable tasks and populates Jira. Includes sprint planning and risk 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。
Data Scientist role within the AID methodology. Activate when working on: EDA, feasibility assessment, experiment planning, ML architecture, model development & validation, or production deployment & monitoring. Stack-agnostic — ask the user for their stack at the start of any new 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。
Review an author's manuscript, its argument and paragraph structure, analyze reviewer comments, draft rebuttals, and verify revisions. Use for self-review, structural edit plans, simulated reviewer objections, author responses, revision closure, and submission-readiness assessment. Formal assigned peer review is outside this skill; manuscript edits and final figures/tables use their owning skills.
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。
Culture assessment and monitoring with three modes — Diagnostic for a deep session surfacing the gap between declared culture and actual culture, Review for periodic check-ins on whether behavior is shifting, and Alert Triggers for setting tripwires around culture-strategy misalignment, regression, and integration risk. Not a culture change programme — a mirror. Updates company-context.md after every run. Triggers on questions about culture, values, team dynamics, how decisions really get made, why change efforts stall, merger integration, or whether the organisation can actually execute its strategy. 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。
Strategy map analysis using the Eterdis two-directional causal chain. Use this skill to diagnose whether strategy is coherent by building two chains — bottom-up from resources to results, top-down from expectations to requirements — and finding where they don't connect. Runs in three modes — full diagnostic for deep sessions, review mode for quick re-assessment, and alert triggers for early-warning signals. Updates company-context.md after every run. Triggers on questions about strategic alignment, why the strategy isn't working, what to invest in, how the business creates value, whether the plan is realistic, or where the biggest gap is. 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。
The Eterdis Strategy Diagnostic — an AI-guided conversation that helps leadership teams understand their strategic situation before committing to a direction. This is the entry point skill. It runs an open-ended discovery conversation, detects which strategic frameworks are most relevant, and produces a strategy-ready brief. Use this skill when someone asks for a general strategic assessment, when they don't know which framework they need, when they want to "figure out where we stand," or when they're preparing for a strategy engagement. This skill orchestrates other Eterdis skills — it does not replace them. Triggers on: "help me think through our strategy," "where should we start," "we need to figure out what's going on," "strategic health check," "prepare for a strategy review," or any open-ended request for strategic thinking. Based on 20 years of consulting 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。
运用《大厂人才》(娄珺) 的祛魅框架与人才盘点方法评估组织的人才管理实践。适用于用户要做团队人才盘点或梯队规划、评估是否引入 OKR/价值观考核/去 KPI 等大厂工具、设计干部选拔与晋升标准、以及诊断考核制度为何流于形式时使用。
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 for prototype, MVP, fullstack feature, from-scratch feature, or multi-domain work that needs a SPEC.md before planning or implementation. Do not use for tiny one-file edits.
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 implementation is complete, all tests pass, and you need to decide how to integrate the work — guides completion of development work by presenting structured options for merge, PR, or cleanup
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 a project has 50+ files, missing context, or explicit $codex-genome request; generates multi-layer project context to reduce hallucination.
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。