omakase-off
This skill should be used as the entry gate for build/create/implement requests. Triggers on "build X", "create Y", "implement Z", "add feature", "try both approaches", "not sure which approach". Offers brainst...
发现 区块链 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。
This skill should be used as the entry gate for build/create/implement requests. Triggers on "build X", "create Y", "implement Z", "add feature", "try both approaches", "not sure which approach". Offers brainst...
This skill should be used when designing or implementing systems with multiple AI agents that coordinate to accomplish tasks. Triggers on "multi-agent", "orchestrator", "sub-agent", "coordination", "delegation"...
This skill should be used when moving from design to implementation. Triggers on "let's build", "implement this", "looks good let's code", "ready to implement". Presents options for parallel agent competition (...
This skill should be used when building iOS apps with xtool (Xcode-free iOS development), creating xtool projects, adding app extensions, or configuring xtool.yml. Triggers on "xtool", "SwiftPM iOS", "iOS on Li...
This skill should be used when building a personal productivity or operating system for a CEO, founder, or executive. Triggers on "personal OS", "annual review", "life planning", "goal setting system", "Bill Ca...
This skill should be used when someone wants to articulate, explore, or document their personal worldview, values, or philosophy. Triggers on "articulate my values", "figure out what I believe", "document my ph...
Scoring framework for test-kitchen cookoff and omakase-off. Invoked at Phase 4 to evaluate implementations using 5-criteria scoring. Do not invoke directly - called by cookoff/omakase-off.
This skill should be used when the user asks about "encapp", "video encoding tests", "codec testing", "Android encoder", "transcode test", "camera encoding", "video quality metrics", "VMAF", "rate-distortion",...
This skill should be used when writing tests, validating features, or needing to verify code works. Triggers on "write tests", "add test coverage", "validate feature", "integration test", "end-to-end", "e2e tes...
This skill should be used as a mandatory final sanity check before git commit, PR creation, or declaring work done. Triggers on "commit", "push", "PR", "pull request", "done", "finished", "complete", "ship", "d...
This skill should be used when verifying documentation claims against codebase reality. Triggers on "audit docs", "verify documentation", "check docs", "docs accurate", "documentation drift", "before release",...
MongoDB development guidelines with Payload CMS, Mongoose, aggregation pipelines, and TypeScript best practices.
Cloudflare Workers, Pages, KV, D1, R2, and Durable Objects development best practices for edge computing applications.
Netlify development best practices for serverless functions, edge functions, Blobs storage, build configuration, and deployment workflows.
Monorepo development guidelines using Tamagui, Turbo, Next.js, Expo, Supabase, and cross-platform best practices.
Vercel and Next.js deployment best practices including server components, edge functions, AI SDK integration, and performance optimization.
Serverless and microservices development guidelines covering FastAPI, cloud-native patterns, API gateways, and best practices for scalable serverless architectures.
Expert guidance for data analysis, visualization, and Jupyter Notebook development with pandas, matplotlib, seaborn, and numpy.
Bitbucket best practices for pull requests, Pipelines CI/CD, Jira integration, and Atlassian ecosystem workflows
Implement analytics, data analysis, and visualization best practices using Python, Jupyter, and modern data tools.
Azure cloud development guidelines for ARM templates, Azure Pipelines, Kubernetes, and cloud-native services.
GitLab best practices for merge requests, CI/CD pipelines, issue tracking, and DevOps workflows
Data analysis best practices with pandas, numpy, matplotlib, seaborn, and Jupyter notebooks.
Best practices for Lerna monorepo management, versioning, and publishing
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。