开发技能

Use this skill when writing Bash scripts or shell snippets in documentation, and when editing related configuration files. It gives practical conventions for comments, heredocs, privileged file writes, variable quoting, script headers, and common safety checks.

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• Writing a Bash script with safer defaults
• Creating a configuration file with a heredoc
• Editing shell snippets in Markdown

Guide Go development with practical conventions for naming, imports, error handling, concurrency, tests, performance, and project layout. Use it when working with Go source and module files or building back ends with Gin, GORM, or Echo.

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• Review Go code conventions and imports
• Handle errors consistently in a Go service
• Plan goroutine lifecycles and context cancellation

Use this skill to guide Rust backend work with Axum and Tokio. It provides practical conventions for error handling, async code, module structure, performance, and tests, helping keep implementation choices consistent across a web service.

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• Structuring an Axum backend
• Handling errors across application layers
• Avoiding common Tokio async pitfalls

Use this skill when reorganizing code, extracting components, combining repeated logic, or renaming fields. It guides agents to inspect original branches and structures, compare changes, and check for omissions, dependency cycles, and mismatched data.

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• Refactoring a component or service
• Combining conditional branches safely
• Checking fields and columns before restructuring data

Apply practical safety and performance rules to Redis code, including replacing blocking KEYS queries with SCAN, limiting large values, batching requests with Pipeline, and assigning TTLs so keys expire automatically.

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• Replacing KEYS queries with cursor-based scans
• Setting expiration times for Redis keys
• Batching repeated Redis requests with Pipeline

Review user-driven large exports and batch serialization for memory use, temporary-file cleanup, request blocking, and spreadsheet formula injection. The guidance helps choose streaming or asynchronous output, apply size limits, and handle formats such as Excel, CSV, JSON, JSONL, and PDF safely.

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• Designing exports with unknown or large row counts
• Reviewing Excel and CSV generation for memory risks
• Checking cleanup of temporary export files

Use this skill when building Rust web backends with Axum and Tokio. It guides module structure, error handling, asynchronous code, and tests, helping keep implementation choices consistent across a project.

中文简介正在准备中。当前显示英语简介。

• Organizing modules in an Axum backend
• Choosing Rust error handling patterns
• Checking Tokio async code during implementation

Use this skill to review time handling in application code, database fields, APIs, and deployments. It helps make business time zones explicit when reading the current time, calculating day or month boundaries, or comparing timestamps across zones.

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• Reviewing current-time calls for implicit time zones
• Checking week, month, and day boundary calculations
• Aligning database timestamp storage with application settings

Use this skill to design or review long-running operations as asynchronous tasks. It provides patterns for triggering work, checking status, preventing duplicate runs, cleaning up old state, and preserving request context in worker threads.

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• Moving a batch operation that may exceed request timeouts to a background task
• Preventing repeated clicks from launching duplicate work
• Designing expiry for cached task status

Design long-running API or data tasks as asynchronous jobs that return promptly and expose their status. The guidance covers duplicate triggers, expiring stored state, carrying request context into worker threads, and frontend progress polling so users can track completion.

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• Turning a slow API operation into a background task
• Preventing repeated clicks from starting duplicate jobs
• Adding task status and progress polling

Review REST API response structures, status handling, null conventions, and business errors. For exports and downstream deliveries, check required fields before generating files or sending data, so missing values produce clear errors instead of apparently successful but unusable output.

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• Reviewing API response fields and status codes
• Checking null and empty-list conventions
• Validating required data before file exports

Use this skill when editing Python code to add type information, define clear data validation boundaries, and write tests for affected behavior and edge cases. It also helps keep tooling consistent with the project’s existing conventions.

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• Adding type annotations to public Python interfaces
• Clarifying validation and data model boundaries
• Writing pytest coverage for changed behavior

Scan a code repository to identify its structure and likely technology stack, then prepare project guidance, a README, and supporting scaffold files. The workflow reports findings, asks about uncertain details, and handles existing files according to an agreed update choice.

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• Creating project level AGENTS.md guidance
• Refreshing a project README from repository contents
• Preparing standard scaffold and container files

Scan a project or selected area for user experience, performance, or code quality improvements. Receive evidence-backed findings ordered by impact, with the expected benefit, tradeoffs, and prerequisites for each suggestion; implementation begins only when specifically requested.

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• Assess performance across a selected project area
• Review user experience issues in the frontend
• Scan code quality in a chosen directory

Use this workflow to take a feature from requirements through design, implementation, and verification. It records progress in task files, checks for unfinished work to resume, and archives completed tasks.

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• Taking a requested feature from requirements through implementation
• Resuming an unfinished feature task
• Recording implementation steps and verification results

Use this skill to guide Java and Spring Boot development. It covers naming, exceptions, validation, database access patterns, concurrency, testing, and common framework pitfalls, with practical rules and examples for everyday implementation work.

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• Applying consistent Java naming and class structure
• Handling exceptions and null values safely
• Reducing repeated database queries

Turn staged changes into a concise Conventional Commit message with a suitable type, a focused subject, and a short bullet body. The workflow also lists major changed files and does not run the commit command.

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• Writing a Conventional Commit message from staged changes
• Summarizing a focused set of code changes
• Checking whether changes should be split into commits

Use this skill when implementing safety checks in gateway, proxy, WAF, or CDN middleware. It explains how to combine HTTP status and response structure with strong and weak keyword signals, reducing false error detections in long user content.

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• Reviewing proxy response error detection
• Handling Cloudflare or gateway terms in long text
• Designing keyword matching for middleware

Choose suitable public, CDN, or time-limited signed URLs for object storage such as MinIO, OSS, and S3. The guidance covers access duration, bucket permissions, CDN setup, and checks for direct uploads.

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• Choosing URLs for avatars and other long-lived images
• Setting expiration times for private document links
• Reviewing direct-upload validation and storage access

Use this skill to write and maintain Bash commands in shell scripts, Dockerfiles, Makefiles, YAML files, and Markdown examples. It sets practical conventions for comments, variables, heredocs, file writing, paths, and safer command patterns.

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• Writing or editing a Bash script
• Adding shell commands to a Dockerfile or Makefile
• Documenting Bash commands in Markdown

Use this skill when designing REST API responses or handling returned values. It helps keep business data, user messages, empty values, and status codes consistent, reducing mismatches between server responses and frontend expectations.

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• Designing a REST API response structure
• Checking whether message and data fields are used consistently
• Choosing consistent responses for missing or empty data

Use this skill to guide Vue 3 or React frontend work with consistent component, TypeScript, API, and styling practices. It helps structure interfaces, handle loading and error states, and keep request data aligned with form fields.

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• Structuring Vue 3 components and stores
• Applying TypeScript types to API calls
• Handling loading, empty, and error states

Apply practical Redis safety and performance rules while working with Redis code. The guidance covers safer key scanning, expiration times, large values and collections, and batching repeated operations to reduce network round trips.

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• Reviewing Redis key lookups
• Setting expiration times for stored keys
• Batching repeated Redis requests

Check field names, enum mappings, and data conversions during refactoring by comparing them with actual source usage. The guidance helps catch optional or misspelled fields, incomplete mappings, invalid display values, and unstable row keys that type checks alone may miss.

中文简介正在准备中。当前显示英语简介。

• Refactoring table columns and dataIndex values
• Checking enum labels, colors, and coverage
• Reviewing formatters and date rendering