AGENT SKILLS · ミッション装備
実際に使われている Agent Skills
公開リポジトリの検証済み Skills を比較し、機能、内容、導入状況、出典を確認してから追加できます。
- 掲載範囲
- 検証済み
- Skills
- 22,847
- リポジトリ
- 3523
- 最終同期
- 2026/11/03
refoundaishipping-velocity
Help users accelerate their product development cycles by implementing high-intensity rituals, ruthless scoping, and technical guardrails that allow teams to ship faster without sacrificing quality.
- 1時間の導入数
- 1
- GitHub Stars
- 1369
- 更新日
- 7月16日
refoundaistakeholder-alignment
Help users master the art of leading without formal authority by identifying stakeholder incentives, neutralizing conflict through connection, and using co-creation to build shared ownership.
- 1時間の導入数
- 1
- GitHub Stars
- 1369
- 更新日
- 7月16日
refoundaisupply-demand-balance
Help users identify whether supply or demand is their primary growth bottleneck and apply tactical levers to achieve marketplace liquidity and long-term health.
- 1時間の導入数
- 1
- GitHub Stars
- 1369
- 更新日
- 7月16日
refoundaiteam-culture
Help users design and maintain a high-performing culture by balancing radical transparency, psychological safety, and a relentless focus on customer delight.
- 1時間の導入数
- 1
- GitHub Stars
- 1369
- 更新日
- 7月16日
refoundaiuser-onboarding-activation
Help users reach their first moment of core value by optimizing the first-run experience, removing friction, and aligning product design with psychological triggers.
- 1時間の導入数
- 1
- GitHub Stars
- 1369
- 更新日
- 7月16日
refoundaiwriting-prds
Help users transform abstract ideas into actionable project specs that align engineering and design teams on the problem and success metrics.
- 1時間の導入数
- 1
- GitHub Stars
- 1369
- 更新日
- 7月16日
xiejunjie524handdraw-good-deed-story
Batch-produce 35–45 second vertical hand-drawn good-deed story videos with black line art revealed left to right and aligned low-saturation color filling in the same direction. Use for Chinese warm-story shorts, gradual line-art coloring videos, reusable eight-beat story templates, or HyperFrames delivery of this visual format.
- 1時間の導入数
- 1
- GitHub Stars
- 774
- 更新日
- 7月23日
addsumtechslide-maker
- Build, redesign, and critique clean, presentation-grade slide decks (.pptx) for any audience — research/lab meetings, work status updates, conference talks, stakeholder readouts, thesis defenses, teaching, webinars. Use whenever the user wants to make, create, redo, clean up, improve, or review slides / a deck / a presentation — e.g. "make slides for my project", "build a deck from this paper/code/doc", "turn these results into slides", "redesign this pptx", "my slides are too dense", "review
- 1時間の導入数
- 1
- GitHub Stars
- 540
- 更新日
- 10月4日
ljtnepiq
Workflow for working an epiq issue board through the epiq MCP — take an identity, sync on demand, keep tickets small and their status, tags and comments current.
- 1時間の導入数
- 1
- GitHub Stars
- 523
- 更新日
- 10月4日
huiyuli-2000fund-background-writer
Writes NSFC grant justification research significance section. Invoke when user asks to write 立项依据/研究意义/项目背景 for NSFC or similar grants, or provides a research topic and wants background text.
- 1時間の導入数
- 1
- GitHub Stars
- 423
- 更新日
- 6月25日
huiyuli-2000fund-literature-review-writer
撰写NSFC申请书的国内外研究现状及发展动态分析+文献评述。Invoke when user asks to write NSFC literature review, 国内外研究现状, 文献综述, 文献评述, or 1.2部分 of NSFC proposal.
- 1時間の導入数
- 1
- GitHub Stars
- 423
- 更新日
- 6月25日
huiyuli-2000fund-research-content-writer
NSFC研究方案写作助手（研究目标-研究内容-关键科学问题）。当用户需要撰写基金申请书的研究内容、拆解研究专题、凝练科学问题时触发。默认面上项目，支持重点/青年/省基金。
- 1時間の導入数
- 1
- GitHub Stars
- 423
- 更新日
- 6月25日
huiyuli-2000fund-technical-route-writer
NSFC申请书研究方法、技术路线与创新特色写作助手。在用户已有研究构想基础上，对研究方法、技术路线和创新特色进行学术化表达、逻辑优化与规范化呈现。当用户需要撰写NSFC申请书的研究方法、技术路线、创新和特色时触发。
- 1時間の導入数
- 1
- GitHub Stars
- 423
- 更新日
- 6月25日
onewave-aiscreenshot-to-code
Turns a screenshot, mockup, Figma export, or photo of a UI into working front-end code - React + Tailwind CSS v4 by default, or Next.js, Vue, or plain HTML/CSS - matching layout, spacing, colors, and typography, then renders the result and compares it against the image to close visual gaps. Use whenever the user shares an image of a website, app screen, dashboard, component, or wireframe and wants it built, cloned, recreated, or "made real", or says "code this up", "build this design", or "match
- 1時間の導入数
- 1
- GitHub Stars
- 321
- 更新日
- 10月2日
onewave-aiseo-optimizer
Optimize content for search engines with keyword analysis, readability scoring, meta descriptions, and competitor comparison. Use this when users want to improve SEO, optimize blog posts, or analyze content for search performance.
- 1時間の導入数
- 1
- GitHub Stars
- 321
- 更新日
- 10月2日
mukul975adequacy-assessment
- Guides assessment of third-country adequacy decisions under GDPR Article 45 for international data transfers. Covers the current EC adequacy decisions list, adequacy assessment criteria, partial adequacy handling, and monitoring of adequacy decision reviews. Keywords: adequacy decision, Article 45, third country, adequate protection, EC adequacy list.
- 1時間の導入数
- 1
- GitHub Stars
- 295
- 更新日
- 3月16日
mukul975age-gating-services
- Implements age-gating mechanisms for online services to restrict access based on user age. Covers hard gates versus soft gates, neutral age prompts, re-verification triggers, circumvention prevention, and regulatory requirements under GDPR, COPPA, UK Online Safety Act, and DSA. Keywords: age gate, age restriction, neutral prompt, children, online services, access control.
- 1時間の導入数
- 1
- GitHub Stars
- 295
- 更新日
- 3月16日
mukul975age-verification-methods
- Evaluates and implements age estimation and verification technologies for online services. Covers facial age estimation, digital ID verification, self-declaration with risk assessment, AI-based age estimation, and the accuracy versus privacy tradeoff. Includes ICO guidance and euCONSENT framework. Keywords: age verification, age estimation, facial analysis, digital ID, children, online safety.
- 1時間の導入数
- 1
- GitHub Stars
- 295
- 更新日
- 3月16日
mukul975ai-automated-decisions
- Implements GDPR Art. 22 automated decision-making and AI Act Art. 14 human oversight requirements for AI systems. Covers identification of solely automated decisions, meaningful human intervention design, logic explanation mechanisms, and contestation procedures. Keywords: Art. 22, automated decision, human oversight, AI Act, profiling, contestation.
- 1時間の導入数
- 1
- GitHub Stars
- 295
- 更新日
- 3月16日
mukul975ai-bias-special-category
- Assesses AI bias risks for GDPR Art. 9 special category data and AI Act Art. 10 data governance. Covers fairness metrics, bias detection methods, mitigation strategies, and documentation requirements for protected characteristics. Keywords: AI bias, special category, fairness metrics, discrimination, Art. 9, Art. 10.
- 1時間の導入数
- 1
- GitHub Stars
- 295
- 更新日
- 3月16日
mukul975ai-data-retention
- Manages AI model retention and machine unlearning requirements. Covers training data deletion verification, model versioning for compliance, machine unlearning techniques (SISA, gradient-based), and retraining triggers. Keywords: AI retention, machine unlearning, model versioning, training data deletion, retraining, storage limitation.
- 1時間の導入数
- 1
- GitHub Stars
- 295
- 更新日
- 3月16日
mukul975ai-data-subject-rights
- Implements data subject rights mechanisms for AI systems including right to explanation of AI decisions, contestation procedures, human review, model output correction, and training data access. Covers GDPR Arts. 15-22 and AI Act Art. 86. Keywords: data subject rights, AI explanation, contestation, human review, training data access, model correction.
- 1時間の導入数
- 1
- GitHub Stars
- 295
- 更新日
- 3月16日
mukul975ai-deployment-checklist
- Pre-deployment privacy compliance checklist for AI/ML systems covering DPIA completion, lawful basis verification, transparency notices, human oversight mechanisms, bias testing, and post-deployment monitoring setup. Keywords: AI deployment, privacy checklist, go-live, model deployment, compliance gate.
- 1時間の導入数
- 1
- GitHub Stars
- 295
- 更新日
- 3月16日
mukul975ai-dpia
- Conducts Data Protection Impact Assessments for AI and ML systems per EDPB Guidelines 04/2025 on AI processing. Covers training data lawfulness evaluation, model risk assessment, automated decision triggers, and AI-specific DPIA methodology. Keywords: AI DPIA, machine learning impact assessment, EDPB AI guidelines, model risk, training data.
- 1時間の導入数
- 1
- GitHub Stars
- 295
- 更新日
- 3月16日