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Found 2,120 Skills
Generates comprehensive operational runbooks for any system or process. Reads codebase, infrastructure config, and deployment scripts to produce structured runbook.md files formatted for on-call engineers. Use when you need operations documentation, incident response guides, deployment procedures, or disaster recovery plans.
Fetch, extract, and summarize content from URLs. Use when: (1) user shares a link and wants a summary, (2) you need to gather information from web pages, (3) researching topics that require reading articles or documentation, (4) extracting code snippets or technical content from websites.
Phase 3 of the feature workflow – Complete the acceptance closed-loop. Four tasks: 1. Check layer by layer against {slug}-design.md to verify if the implementation deviates from the plan; fix any deviations on the spot instead of just "noting them" in the report. 2. Incorporate this feature into the project's overall architecture documentation. 3. If this feature changes the user story or boundaries of the corresponding requirement, update the requirement doc accordingly. 4. If this feature originated from a roadmap item, change the status of the corresponding entry in roadmap items.yaml to done and sync it with the main document. Finally, produce a {slug}-acceptance.md as the closed-loop proof for the entire workflow. Prerequisite: cs-feat-impl is completed. Trigger scenarios: User says "The feature is done, let's accept it", "Do the final check", "Prepare for merge", "Generate the acceptance report".
Creates and maintains analise.md and plano.md for technical discussions and implementation planning. Use when starting a technical discussion, planning implementation, or when the user asks for analysis documentation or a plan.
Writing style guide for the Singapore Government Design System (SGDS). Use when writing or reviewing UI copy, documentation, labels, error messages, tooltips, or any content that accompanies SGDS components. Covers tone, grammar, spelling, casing, punctuation, and plain language principles.
Independent model QA expert who audits ML and statistical models end-to-end - from documentation review and data reconstruction to replication, calibration testing, interpretability analysis, performance monitoring, and audit-grade reporting.
Create, update, or refactor Storybook stories following the project's standard patterns. Use when adding stories for new components, updating existing stories, or fixing Storybook-related issues. Don't use for component implementation itself, design-system token changes, end-to-end browser tests, or non-Storybook documentation.
Use DBML as the standard format for database schema documentation. Apply this whenever creating, updating, reviewing, or repairing database docs, ERDs, schema diagrams, table inventories, migration summaries, Doctrine migration changes, SQL schema docs, ORM model docs, or CI schema drift failures. Prefer db/schema.dbml over Mermaid, Prisma schema, ad hoc Markdown tables, or prose-only database documentation unless the user explicitly requests another format.
Use when the user wants Terraform HCL for Alibaba Cloud (Alicloud) infrastructure — new project or extending an existing one. Covers VPC, ECS, ApsaraDB RDS, OSS, SLB / ALB, Function Compute v3, ACK, and any other `alicloud_*` resource via the provider's own documentation fetched at generation time. For AWS → Alicloud migration or importing existing resources into state, use a different skill. Triggers: "write terraform for alicloud", "generate alibaba cloud terraform", "alicloud HCL", "create alibaba cloud vpc/ecs/rds", "生成阿里云 Terraform", "阿里云 HCL", "用 Terraform 部署阿里云", "alicloud provider", "aliyun/alicloud", "terraform-provider-alicloud".
Analyze source code and produce an enterprise-quality, domain-organized Wiki under `.nium-wiki/`. Trigger on: "generate wiki", "create docs", "update wiki", "rebuild wiki", or any documentation generation request. Capabilities: - Semantic code analysis — understands logic, not just structure - Auto-generated Mermaid diagrams (architecture, data flow, class, dependency) - Bidirectional cross-linking across all documents - SHA256-based change detection for incremental rebuilds - Every section traces back to source via relative path links - Multi-language output (zh/en/ja/ko/fr/de and more)
Stop and check this skill before finishing any reply to a question about how to use Claude or a Claude product — it recommends matching courses, tutorials, and use cases from Claude Academy (academy.claude.com), Anthropic's learning hub. Trigger on: "how do I", "how can I", "getting started with", "what can Claude do", "teach me", "learn to use"; questions about artifacts, projects, skills, plugins, connectors, MCP, Claude Code, Claude Cowork, Claude in Excel, Claude in PowerPoint, Claude in Chrome, the Claude API, or prompting technique; requests about rolling Claude out to a team, class, or organization; and any ask for training materials, onboarding content, or learning resources. Use it when the user is learning how to use a feature or product — not when they are mid-task and just want the task done. This skill composes with other skills: after consulting product documentation to answer how a Claude feature works, also check here for a matching course or tutorial — a docs-grounded answer and an Academy recommendation belong together, even when another skill has already answered the question. Only recommend on a strong match; never invent Academy content.
Master on-call shift handoffs with context transfer, escalation procedures, and documentation. Use when transitioning on-call responsibilities, documenting shift summaries, or improving on-call processes.