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生活与效率 AI 技能

发现 生活与效率 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。

分类目录: 生活与效率

显示第 7,825–7,848 个,共 84,979 个

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GitHub

coder

0xSero

Write, edit, and refactor code with full tool access - Use when you need to actually write or modify code, create files, run commands, or implement features.

GitHub

explorer

0xSero

Quickly search and navigate the codebase - Use when you need to quickly find files, search for patterns, or locate specific code without deep analysis.

GitHub

docs

0xSero

Research documentation, find examples, explain APIs and libraries - Use when you need to look up official documentation, find code examples, understand library APIs, or research best practices.

GitHub

vision

0xSero

Analyze images, screenshots, diagrams, and visual content - Use when you need to understand visual content like screenshots, architecture diagrams, UI mockups, or error screenshots.

GitHub

paper-slide-deck

luwill

Generate professional slide deck images from academic papers and content. Creates comprehensive outlines with style instructions, auto-detects figures from PDFs, then generates individual slide images. Use when...

GitHub

medical-imaging-review

luwill

Write comprehensive literature reviews for medical imaging AI research. Use when writing survey papers, systematic reviews, or literature analyses on topics like segmentation, detection, classification in CT, M...

GitHub

post-merge-voice-gate

WILLOSCAR

Post-merge paper-voice gate: detect planner-talk / axis-label artifacts introduced during merge (especially from `outline/transitions.md`), then route fixes back to the earliest source. **Trigger**: post-merge...

GitHub

detection-coverage-analysis

MHaggis

Analyzes detection coverage using Sigma, Splunk, and Elastic rules. Use when checking coverage for techniques, tactics, threat actors, or generating Navigator layers from detections.

GitHub

testing-strategies

MadAppGang

Use when writing tests, setting up test frameworks, implementing mocking strategies, or establishing testing best practices (unit, integration, E2E) across any technology stack.

GitHub

golang

MadAppGang

Use when building Go backend services, implementing goroutines/channels, handling errors idiomatically, writing tests with testify, or following Go best practices for APIs/CLI tools.

GitHub

testing-frontend

MadAppGang

Use when writing component tests, testing user interactions, mocking APIs, or setting up Vitest/React Testing Library/Vue Test Utils for frontend applications.

GitHub

test-driven-development

MadAppGang

Use when writing production code. Enforces RED-GREEN-REFACTOR cycle: write failing test, make it pass, improve design. Prevents test-after development and ensures verified behavior.

GitHub

auth-patterns

MadAppGang

Use when implementing authentication (JWT, sessions, OAuth), authorization (RBAC, ABAC), password hashing, MFA, or security best practices for backend services.

GitHub

documentation-standards

MadAppGang

Use when writing README files, API documentation, user guides, or technical documentation following industry standards from Google, Microsoft, and GitLab style guides.

GitHub

bunjs-apidog

MadAppGang

Use when creating OpenAPI specs for Bun.js APIs, integrating with Apidog, documenting endpoints with schemas, or automating API specification imports via Apidog REST API. See bunjs for basics.

GitHub

database-patterns

MadAppGang

Use when designing database schemas, implementing repository patterns, writing optimized queries, managing migrations, or working with indexes and transactions for SQL/NoSQL databases.

GitHub

context-detection

MadAppGang

Use when detecting project technology stack from files/configs/directory structure, auto-loading framework-specific skills, or analyzing multi-stack fullstack projects (e.g., React + Go).

GitHub

golang-performance

MadAppGang

Use when profiling Go applications (pprof), running benchmarks, optimizing memory/CPU usage, or debugging performance bottlenecks in production Go code.

GitHub

debugging-strategies

MadAppGang

Use when troubleshooting bugs, analyzing stack traces, using debugging tools (breakpoints, loggers), or applying systematic debugging methodology across any technology stack.

GitHub

systematic-debugging

MadAppGang

Use when debugging failures, errors, or unexpected behavior. Covers root cause investigation, data flow tracing, hypothesis-driven debugging, and fix verification to prevent trial-and-error approaches.

GitHub

dingo

MadAppGang

Use when working with Dingo meta-language for Go, implementing optionals/results, using generics shortcuts, or transpiling .dingo files to .go while maintaining Go compatibility.

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。

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