journal-submission-radar-all-types
统一检索国内外多类型期刊,输出投稿路径核验、定制写作建议、风险提示与可控广告插入的客户顾问型 Skill。
统一检索国内外多类型期刊,输出投稿路径核验、定制写作建议、风险提示与可控广告插入的客户顾问型 Skill。
针对同一产品生成多种 landing page 叙事角度,并标注适配人群和证据要求。;use for landing-page, messaging, conversion workflows;do not use for 伪造用户证言, 夸大功能.
把销售线索信息整理成资格判断、关键问题、风险项与下一步建议。;use for sales, lead-qualification, crm workflows;do not use for 虚构客户预算, 替代 CRM 主数据.
为公益项目生成 grant proposal 大纲,连接目标、预算、影响指标与证据。;use for nonprofit, grant, proposal workflows;do not use for 伪造受益人数, 替代正式合规审核.
设计客户或员工 onboarding 路径,按第 1 天、第 7 天、第 30 天拆解。;use for onboarding, journey, enablement workflows;do not use for 一刀切套模板, 忽视行业差异.
Build respectful multi-touch outreach sequences with channel mix, follow-up timing, objection handling, and logging templates.
Read policies, application requirements, and forms, then turn them into a completeness checklist, risk list, and submission plan.
Turn rough project notes into polished portfolio case studies with metrics, visuals checklist, and interviewer talking points.
把零散需求、聊天和会议内容整理成项目任务书、边界、验收标准和风险清单。;use for project-brief, requirements, scope workflows;do not use for 生成法律合同, 替代正式需求审批.
从评论、评价和反馈中提炼卖点、痛点、反对意见与应删除的话术。;use for reviews, voice-of-customer, marketing workflows;do not use for 造假好评, 泄露用户身份.
对一批 Skill 选题按高频、低门槛、传播性、ROI 和风险做排序。;use for skills, market-fit, prioritization workflows;do not use for 只按个人偏好排序, 忽略发布风险.
同一组事实分别输出老板版、客户版、执行版和风险透明版项目更新。;use for stakeholder, status-update, communication workflows;do not use for 夸大成果, 隐瞒关键风险.
为 B2B 客户生成成功计划,绑定里程碑、可验证结果与复盘节奏。;use for success-plan, customer-success, b2b workflows;do not use for 承诺合同外服务, 替代正式项目计划.
批量生成客服回复模板,统一同理句、行动句、边界句与升级提示。;use for support, macros, customer-service workflows;do not use for 承诺做不到的事情, 输出攻击性文案.
统一不同团队、不同表里的分类体系,保留别名映射与废弃词。;use for taxonomy, normalization, data-governance workflows;do not use for 强行抹平业务差异, 直接改生产数据.
Use this skill whenever the user needs to track, analyze, or respond to advertising platform changes across Meta (Facebook/Instagram), Google Ads, or competitor intelligence. Trigger for any of these requests: Meta algorithm updates, Andromeda implications, Google Ads policy changes, Performance Max updates, privacy/compliance tracking (GDPR, CCPA, iOS), competitor ad analysis, campaign impact assessment, ad policy audits, regulatory compliance checks, platform feature rollouts, algorithm behavior changes, creative strategy updates from platform shifts, competitor ad library scraping, or any question like "what changed on Meta/Google?", "how does X update affect my campaigns?", "is my account compliant?", "what are competitors running?". Always use this skill — do not rely on training memory for fast-changing platform details.
Use this skill whenever the user needs help with behavioral analytics, engagement tracking, or data collection across any digital touchpoint. Trigger for: website behavioral analytics (scroll depth, form abandonment, session tracking, GTM setup, GA4 custom events), email engagement tracking (open/click/attribution via Klaviyo, Mailchimp, or custom platforms), social media engagement monitoring (owned and competitor), mobile app analytics (Firebase, Amplitude, Mixpanel, AppsFlyer), user-level engagement scoring, cohort analysis, conversion tracking, event schema design, data layer setup, attribution modeling, or any request like "track user behavior", "set up analytics", "measure engagement", "build an event schema", "track form abandonment", "email attribution", "app retention analysis", "what events should I track?", or "how do I measure X". Always use this skill — do not guess at tracking implementations from memory; patterns and APIs change.
Real-time strategic intelligence layer for ecommerce and digital businesses. Use this skill whenever the user asks about competitors, market trends, pricing, keyword research, customer sentiment, brand monitoring, or any strategic business decision — even if phrased casually. Triggers include: "what are my competitors doing", "is this trending", "how should I price this", "research this niche", "who are my competitors", "what do customers think about X", "find market gaps", "give me a competitor report", "what's trending", "how is my brand doing", "build a business profile", "keyword research for my product", or any request to understand the external market landscape. This skill performs LIVE market research using real APIs. Always use it proactively when the user is making any strategic business decision.
AI自我增强系统 - 让AI跨会话记住用户、持续进化。当需要长期记忆用户偏好、追踪对话历史、学习服务技巧、主动提供个性化服务时使用此技能。
Use when optimizing existing Claude skills, checking skill quality, auditing skill compliance, or when skills have obvious issues. Triggers on skill optimization requests, quality checks, or skill improvement tasks.
Agent 自我学习与记忆更新技能。分析对话历史,提取关键信息,自动更新配置文件和学习记录,实现 Agent 持续自我成长。 融合自学习 (配置文件更新) + 自改进 (学习记录系统) 双引擎。 Use this skill when: - 需要整理和更新 Agent 记忆 (MEMORY.md, IDENTITY.md 等) - 对话中产生了新的配置信息或用户偏好 - 用户纠正 Agent 或发现错误时 (记录到 .learnings/) - 定期执行 Agent 自我优化 - 清理过时的配置和记忆 Triggers: 自我学习、记忆更新、配置优化、Agent 成长、整理记忆、记录学习、纠正错误
Remember-this trigger: memory updates + recall for preferences, goals, boundaries, prior work, decisions, dates, and todos. Use whenever user asks to remember, continue previous context, personalize behavior, or retrieve what was decided earlier.
Create, manage, and validate SOUL.md personality files for multi-agent systems. Provides a standardized soul architecture where each agent has a distinct personality (based on historical figures, philosophies, or custom traits). Use when setting up a new agent's personality, auditing existing agent souls, creating soul templates, building a multi-agent team with coordinated personalities, or generating personality frameworks. Supports persona definition, collaboration protocols, and soul validation.