“patterns”的搜索结果

Use Mars as a voice partner for reflecting on meaning, identity, and recurring patterns, or demonstrating a personal AI to others. It adapts between reflective conversation and demonstrations that search stored knowledge and summarize shared links.

中文简介正在准备中。当前显示英语简介。

• Reflecting on thoughts and recurring patterns
• Demonstrating a personal AI to others
• Starting a voice conversation with recent topic context

Create a concise sales reference comparing your product with a specific competitor. Organize product and pricing differences, strengths on both sides, responses to common objections, and win/loss patterns into a Markdown document for use during sales conversations.

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• Preparing sales teams for competitive deals
• Answering questions about a cheaper competitor
• Creating a feature and pricing comparison

Write and update Handsontable unit tests with Jest and type tests with TypeScript. Explains file placement, focused test runs, boundary cases, and checks for public types, while helping choose between isolated logic tests and browser tests.

中文简介正在准备中。当前显示英语简介。

• Adding unit tests for calculations and data transformations
• Covering bug fixes and internal refactoring
• Checking TypeScript declarations and public exports

Design systems made of independently deployable services, or plan how to split an existing application. The skill produces service boundary diagrams and recommendations for communication, data ownership, failure handling, monitoring, and deployment.

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• Planning how to split a monolithic application
• Choosing REST, gRPC, or event-based communication
• Defining data ownership and cross-service consistency

Extract decisions, lessons, recurring patterns, and unexpected findings from the artifacts of a completed development phase. It organizes these learnings into a LEARNINGS.md file using planning, summary, verification, acceptance testing, and state documents.

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• Reviewing decisions made during a completed phase
• Gathering lessons from planning and verification artifacts
• Recording discovered patterns and unexpected findings

Retrieve past decisions, recurring patterns, and unexpected issues from MemPalace before planning a phase. The skill produces a concise file with source references for the planner and falls back to GSD’s native memory when MemPalace is unavailable.

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• Reviewing past decisions before planning a phase
• Checking recurring patterns and previous pitfalls
• Preparing a source-backed memory summary for the planner

Create and maintain Claude Code skills with clear file structure and activation rules. Get guidance on hooks, which run at specific workflow events, plus troubleshooting, edit restrictions, and splitting detailed instructions into reference files.

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• Creating a new Claude Code skill
• Tuning skill activation conditions
• Investigating missing or unwanted activation

Translates Splunk SPL queries into Axiom APL, the query language used to search and analyze data in Axiom. Covers command and function equivalents, time filters, type conversions, and common patterns for migration or learning.

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• Migrating Splunk queries to Axiom
• Converting log aggregation and error-rate queries
• Learning APL through familiar SPL patterns

Add a dashboard or admin panel across the server and interface. This skill follows existing project patterns to build API routes, service logic, components, registration, and styles, then connects request handlers so the new endpoint is reachable.

中文简介正在准备中。当前显示英语简介。

• Adding a new dashboard panel
• Building an admin feature across the server and interface
• Connecting a new API handler to server routing

Analyze an existing codebase to identify reusable design patterns in components, services, APIs, styling, and refresh scheduling. Produces structured descriptions with representative code, conventions, dependencies, and adaptation notes for reuse or later conversion into skills.

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• Understanding the structure of a large codebase
• Extracting reusable component and service designs
• Following an existing project's conventions in a new project

Turn existing source code into reusable learning materials. This skill identifies architectural patterns and implementation techniques, then organizes them into a SKILL.md with structured metadata, explanatory code templates, practical examples, and validation steps.

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• Create teaching materials from reference code
• Document reusable implementation patterns
• Prepare code templates with usage examples

Search HTTP traffic and security findings stored in Burp Suite project files from the command line. Filter response headers or bodies with text patterns, extract affected URLs, and review selected proxy history or site map data.

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• Finding CORS or other response headers in captured traffic
• Filtering security findings by severity and confidence
• Extracting URLs from proxy history

Write, review, and refactor React and Next.js code using performance guidelines from Vercel Engineering. Prioritize improvements to data fetching, downloaded code size, server processing, and unnecessary rendering, with rule files providing explanations and code examples.

中文简介正在准备中。当前显示英语简介。

• Reviewing React code for performance issues
• Reducing delays in Next.js data fetching
• Reducing downloaded code size and load times

Review domain code for classes that hold data while business logic lives elsewhere. Using domain-driven design patterns, diagnose problems and refactor objects to keep business rules, state changes, and validation together, with before-and-after diffs.

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• Reviewing domain models against DDD patterns
• Finding classes that only hold data
• Moving business rules into domain objects

Find API patterns and examples for coding agents with ADK, the Agent Development Kit. Covers tools, state, callbacks, multi-agent coordination, and graph workflows, with Python and Go references plus guidance on studying existing implementations.

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• Adding tools and callbacks to an ADK agent
• Implementing state management and agent coordination
• Designing branching and parallel graph workflows

Align existing pages and components with a design system by reviewing colors, typography, spacing, and interaction patterns. Replace inconsistent styles and custom implementations with shared standards, then check code quality and usability.

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• Aligning a page with an existing design system
• Replacing hard-coded styles with shared design values
• Standardizing components and interaction patterns

Edit English and Chinese prose to reduce formulaic AI writing patterns, including filler, inflated claims, and vague attribution. Preserves the original meaning and intended tone while improving sentence variety, directness, and the writer’s voice.

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• Rewriting formulaic AI-generated prose
• Checking English or Chinese text before publication
• Polishing academic and professional writing

Provide language-specific reference files for test analysis skills. The catalog helps agents recognize test methods, assertions, skipped tests, waiting patterns, setup and cleanup hooks, external dependencies, and tagging capabilities across different frameworks.

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• Looking up assertion syntax for a test framework
• Checking skip annotations and setup or cleanup hooks
• Supporting test analysis across multiple languages

Review C#/.NET code for about 50 inefficient API usage patterns across asynchronous work, memory, strings, collections, and I/O. Get exact occurrence counts, prioritized findings, and concrete fixes, with attention to frequently executed code.

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• Reviewing frequently executed C#/.NET code
• Finding unnecessary memory allocations
• Checking known performance pitfalls before release

Analyze .NET test suites for repeated setup, assertions, and copied test methods. Get a report with file locations, before-and-after refactoring examples, priorities, and readability trade-offs, without changing the source files.

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• Finding repeated setup and assertions
• Combining copied tests into parameterized tests
• Identifying shared setup and cleanup opportunities

Review regular expressions used to detect errors in agent engines. Check for empty matches, test patterns against real logs, and add safeguards against repeated matches that can cause JavaScript loops to hang.

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• Review new error detection patterns
• Test patterns against empty strings
• Check detection using real error logs

Review English prose for formulaic phrases and other patterns associated with AI writing, then make targeted edits while preserving meaning and voice. Choose findings only, a rewritten version, or direct edits to a prose file.

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• Checking an English draft before publication
• Reviewing flagged phrases without changing the text
• Editing a Markdown draft directly

Analyze successful Google and Meta ads to find useful patterns in headlines, body text, and calls to action. Generate new copy variants that preserve those patterns, with platform formatting, test priorities, and suggested pairings for comparison.

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• Refreshing ad copy when existing creatives lose effectiveness
• Starting an ad copy brainstorming session
• Testing messaging angles for a new audience

Evaluates Claude Code conversations at session end and extracts reusable solutions, user corrections, and project conventions. It saves useful patterns as learned skills for future sessions, with configurable detection rules and a minimum conversation length.

中文简介正在准备中。当前显示英语简介。

• Saving reusable error resolution steps
• Preserving patterns from user corrections
• Recording framework and library workarounds