发现 部署与运维 相关 Skills，比较来源仓库和用途，查看适合你工作流的技能说明。
Orchestrates the complete lifecycle of a new software project. Use this skill to initiate a new project from a vague idea, guiding it through architectural brainstorming, component definition, and detailed PRD...
Creates single-file interactive HTML visualizations from documents or conversations. Triggers on: webify this, create infographic, visualize as webpage, make it a website.
Syncs documentation with code changes by detecting mismatches and producing update reports. Triggers on: update docs, sync documentation, docs out of date, check docs.
Guides creation of Anthropic-compliant Claude skills. Triggers on: create skill, new skill, skill guidelines, skill best practices, write a skill.
Reviews code changes for correctness, security, and maintainability with actionable feedback. Triggers on: review this code, code review, check this PR, review my changes.
Hosts brainstorming sessions to create technical blueprints. Triggers on: architect this, system design, technical blueprint, design the system.
Generate Safe UI compatible multisig batch JSON to reset veNFT votes. Use when the user wants to reset votes, clear voted status, or prepare vote reset transactions for a multisig wallet.
Generate Safe UI compatible multisig batch JSON to claim voting rewards (internal LP fees and external bribes). Use when the user wants to claim bribes, collect voting rewards, or prepare claim transactions for...
Generate Safe UI compatible multisig batch JSON to set veNFT votes. Use when the user wants to vote on gauges, allocate voting power to pools, or prepare vote transactions for a multisig wallet.
Generate Safe UI compatible multisig batch JSON to create and distribute veLITH (veNFTs) to multiple recipients. Use when you need to lock LITHOS tokens and create veNFTs for a list of addresses.
智能合约漏洞检查清单,用于安全审计时的漏洞检测参考。
Foundry智能合约开发指导,包括编译/测试/部署/调试。
Pytest testing patterns for data pipelines, Airflow DAGs, and BigQuery queries. Use when writing unit tests for DAG tasks, integration tests with BigQuery, property-based tests with Hypothesis, data contract va...
Apache Airflow DAG development with TaskFlow API, Google Cloud operators (BigQuery, GCS), dbt integration, and dynamic DAG generation. Use when creating or modifying Airflow DAGs, implementing data pipeline orc...
BigQuery query optimization, feature engineering, and BigQuery ML models for recommendation systems. Use when writing optimized SQL queries, implementing partitioning/clustering, creating materialized views, en...
ML recommendation system development with collaborative filtering (Matrix Factorization), content-based filtering, and hybrid approaches. Use when building recommendation models, implementing Feast feature stor...
Jenkins CI/CD pipelines for data platforms with Kubernetes pod agents. Use when creating Jenkinsfiles, implementing parallel linting stages (Ruff, Black, Mypy), DAG validation with DagBag, security scanning (Ba...
GCP Composer 2 deployment and operations with Terraform configuration. Use when creating Composer environments, configuring worker/scheduler/triggerer resources, setting up Airflow connections and variables, im...
Workflow. Apply for task analysis and completion reporting.
Documentation standards. Apply when completing full feature development, introducing new architecture patterns, or adding new public APIs.
Testing strategy and standards. Apply when writing tests, designing test architecture, or evaluating test coverage.
Tooling and verification. Apply when encountering unfamiliar third-party libraries, framework updates, uncertain parameter types, verifying best practices, or uncertain API parameters.
Git workflow standards. Apply when committing changes, creating pull requests, or managing branches.
Architectural thinking and code review. Apply for architecture decisions, complexity judgment, code taste, over-engineering rejection, code review, analysis, evaluation, or optimization.
默认按已收录数据中的 GitHub 仓库 Stars 排序。Stars 属于来源仓库，同一仓库的多个技能可能共享相同数值；它反映仓库关注度，不代表单个技能的安装量或质量评分。