Results for “cycles”

以命理场景为主的八字排盘、黄历查询与大运/流年/流月/流日/流时区间查询技能。用于用户请求“算八字”“四柱排盘”“阳历/农历转八字”“查黄历/宜忌”“查未来10年流年”“查下个月流日/流时”等场景；关键词包括：八字、四柱、命理、大运、流年、流月、流日、流时、时辰、阳历转八字、农历转八字、黄历、宜忌、干支日期。真太阳时换算属于辅助能力，仅在需要校时定盘时使用。 / Bazi-first skill for charting, Chinese almanac lookup, and range queries of decade/annual/monthly/daily/hourly luck cycles. Use for requests like “calculate my Bazi”, “convert solar/lunar datetime to Bazi”, “check huangli”, “query next 10 years”, and “check next month daily/hourly cycles”. Keywords focus on Bazi/Four Pillars and fortune-cycle analysis; true-solar-time conversion is an auxiliary step only when time correction is required.

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Develop applications through separate planning, building, and evaluation agents. The workflow tests the running app, scores its design and functionality, and feeds specific issues back into repeated development cycles with configurable quality thresholds and iteration limits.

• Turning a brief idea into an application specification
• Refining frontend design through separate evaluation
• Testing and improving full-stack application features

Gather relevant code and background for subagents, agents assigned part of a larger task. Search broadly, assess each file, identify missing information, and refine the search for up to three cycles to assemble context for bug fixes or feature work.

• Finding relevant files for a subagent assigned a bug fix
• Gathering code patterns before implementing a feature
• Refining searches to match terminology used in a project

Manage GitHub issues, synchronize project boards, and plan sprints, short development cycles. Coordinate multiple AI agents to break work into tasks, assign responsibilities, update progress, and produce reports on completion and blockers.

• Sorting and prioritizing incoming GitHub issues
• Splitting large issues among AI agents
• Synchronizing task progress with project boards

Improve existing code through repeated cycles of testing, implementation, and refactoring. The skill covers performance bottlenecks, error recovery, code coverage, and documentation, helping developers refine behavior and structure while keeping tests passing.

• Refactoring existing code while keeping tests passing
• Adding tests before implementing expected behavior
• Investigating slow database access and cache usage

Organize GitHub issues, synchronize project boards, and plan sprints, or short work cycles. Coordinate multiple AI agents to break issues into tasks, assign work, update progress, and track dependencies across a project.

• Sort issues and assign labels and priorities
• Break large issues into tasks for AI agents
• Synchronize project boards with task progress

Design reusable pose data for 2D characters, covering emotions, actions, mouth shapes, and repeated movements. Organize changes to individual body parts, pose durations, and transitions so animation sequences have clearly defined stages.

• Planning a reusable set of emotional expressions
• Designing walking and other repeated movements
• Organizing mouth shapes for a character

Review a repository’s architecture using Ontoly Software Graph, a map of code relationships. Explain module boundaries, package structure, dependencies, and architectural risks, with graph evidence and a stated confidence level.

• Understanding a repository’s overall architecture
• Reviewing module boundaries and package structure
• Investigating dependency cycles and architectural risks

Plan a 360-degree or peer feedback process and create empty response templates from confirmed requirements. Produces consistent CSV, SQL, JSON Schema, or Notion property mappings while keeping visibility choices and scoring configuration separate.

• Plan an anonymous peer feedback process
• Create a CSV template for feedback responses
• Align feedback fields across SQL and JSON Schema

Move slow Python operations into background jobs so requests can return promptly. Use task queues and workers, the processes that execute queued work, with retry rules, duplicate handling, time limits, and persistent job status.

• Send emails and notifications in the background
• Generate reports and data exports asynchronously
• Process uploads and media conversions

Design or refactor backend services with clear layers and dependency rules. Using Clean Architecture, Hexagonal Architecture, and Domain-Driven Design, it separates business logic from databases and frameworks and defines interfaces that support testing without external services.

• Designing the structure of a new backend service
• Separating business logic from database and HTTP code
• Resolving circular dependencies between layers

Plan complex enterprise sales by mapping stakeholders, checking qualification with MEDDICC, a framework for assessing deals, and building shared action plans. Review buyer alignment, purchasing steps, and customer participation to identify stalled opportunities and next actions.

• Planning a long enterprise sales cycle
• Mapping decision makers and stakeholder motivations
• Building a shared action plan with customer owners and deadlines

Coordinate multiple agents on a shared task list to complete development work. Break tasks into clear responsibilities, manage dependencies, and move through planning, implementation, verification, and bounded repair cycles with recorded handoffs.

• Fixing TypeScript errors across several modules
• Sharing build-error investigation among agents
• Implementing responsive layouts across pages

Run repeated change-and-evaluation cycles for one predefined improvement mission within an explicit runtime limit. Save each evaluation as JSON and each decision in readable Markdown logs, with support for periodic reruns through Claude Code native cron.

• Repeating improvements under a fixed evaluation method
• Keeping evaluation results and decision logs
• Running experiments within a time limit

Analyze crude oil, gold, and copper using supply and demand, inventories, futures prices, and seasonal patterns. Combine these factors with macroeconomic conditions to produce research reports showing market direction, confidence, and specific risks.

• Assess crude oil supply and demand
• Review gold drivers such as real rates and the dollar
• Study copper inventories and economic signals

Use investor psychology to examine trading signals and risk controls, especially in China A-shares. The skill provides sentiment measures, checklists for biased decisions, and frameworks for assessing momentum, which follows trends, and reversal strategies.

• Reviewing market optimism and fear
• Examining momentum and reversal strategies
• Checking investment decisions for cognitive biases

Find the migration path for the removed OMX parallel execution command. This retirement notice directs users to replace `$ultrawork` with `$team`, which manages worker panes, shared task state, messaging, dispatch, and coordinated worker lifecycles.

• Check the replacement for a removed command
• Update old instructions to use `$team`
• Identify which feature manages parallel workers

Build AI agents with LangGraph by connecting processing steps into a graph. Define shared state, conditional paths, tool calls, saved checkpoints, and human review points to create workflows that retain information as they run.

• Building an agent that calls tools in a loop
• Sharing accumulated findings between multiple agents
• Routing requests to different processing paths

Prepare internal audit materials for ISO/IEC 42001:2023, the AI management system standard. Identify gaps, link AI risks to controls, and build a 12-month audit plan with coverage priorities and auditor independence checks.

• Prioritizing gaps before certification
• Linking AI risks to Annex A controls
• Planning a year of internal audits

Track code changes in structured JSON records, including reasons, test results, progress, and approvals. Save remaining tasks and key decisions so another AI session can understand the work and continue from the recorded handoff.

• Handing unfinished work to another AI session
• Recording why code changed and how it was tested
• Reviewing progress and approvals for each change

Review an AI Management System against six audit questions covering scope, policy, risks, reassessment, audit independence, and integration with existing management systems. Summarize evidence gaps, readiness, and three prioritized actions with owners and dates.

• Reviewing readiness before a stage 1 certification audit
• Preparing the annual internal audit plan
• Adding an AI system to the management scope

Break a game concept into the systems it needs, including supporting systems that are easy to overlook. Map dependencies, assign priorities by development stage, and create an index showing the recommended order for detailed design.

• Identifying the systems a game concept requires
• Finding dependency cycles and bottleneck systems
• Choosing systems for the minimum playable version

Assess Google Cloud workloads for environmental sustainability using the Well-Architected Framework. Get recommendations on lower-carbon regions, efficient computing and storage, AI energy use, and ongoing emissions measurement with Carbon Footprint.

• Reviewing cloud architecture for environmental impact
• Comparing deployment regions by carbon-free energy use
• Reducing energy waste in AI and computing workloads

Review BigQuery capacity, table layouts, storage retention, and SQL to improve cost efficiency. Compare billing options, plan partitioned tables, and evaluate search indexes, stored aggregation results, and BI Engine for suitable workloads.

• Compare On-Demand pricing with Editions
• Review storage billing models and retention periods
• Design table partitioning and clustering