'plans' 검색 결과

Use German-language guidance to organize multi-step agent work in Markdown files. Store plans, findings, and progress by task, then revisit those records to resume research, review decisions, and track unfinished phases.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Managing research with German-language guidance
• Recovering task context after a break
• Separating plans for concurrent tasks

Organize multi-step agent tasks with persistent Markdown files for plans, findings, and progress. Records decisions, errors, and test results, then reloads the selected task's planning files to resume work after an interruption.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Planning research that involves many tool calls
• Resuming work after an interruption
• Recording errors and test results

Share Markdown specs, plans, and drafts through Proof, a collaborative document editor. Read shared documents, add comments or tracked suggestions, edit text, and pull documents into local files, with confirmation of each requested operation.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Sharing a Markdown plan through a Proof link
• Commenting on a shared specification
• Suggesting or applying changes to a draft

Turn requirements for software or other multi-step work into a structured plan with an approach, constraints, and verification steps. It also helps develop existing plans, researching decisions before handing the work over for execution.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Planning implementation from requirements
• Breaking complex work into manageable steps
• Adding detail to an existing plan

Design a Google Cloud system that combines multiple services, starting with a discussion of business and technical requirements. The skill produces service recommendations, architecture diagrams, deployment guidance, and validation plans, with user approval at each stage.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Gather requirements for a new cloud workload
• Compare and select services for a cloud migration
• Create a diagram and explain system data flows

Design hybrid search on AlloyDB by combining meaning-based search, keywords, and SQL filters. Turn requirements into architecture diagrams, database setup scripts, deployment guidance, and validation plans for search applications on Google Cloud.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Designing product search with meaning-based matching and attribute filters
• Planning result reranking and AI quality checks
• Preparing AlloyDB and Cloud Run deployment guidance

Prepare interview scheduling drafts by matching Greenhouse interview plans with every panelist’s calendar. Produce two or three available time options, a candidate email, and individual invitation drafts for a coordinator to review and send.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Prepare daily interview scheduling drafts
• Find time slots available to every interviewer
• Redraft proposals after interview plans change

Stress-test ideas, strategies, and plans by breaking them into individual claims for parallel expert agents to challenge. Receive the strongest supporting case, surviving counterarguments, and findings ranked by severity with suggested ways to address weaknesses.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Challenge assumptions in a business strategy
• Find weaknesses in a software architecture proposal
• Prepare strong objections to a pricing decision

Write, debug, and optimize SQL queries for data analysis and database design. The skill covers aggregations, rankings, missing values, and indexes, using execution plans to understand performance and adapting syntax to the database in use.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Writing queries for totals and rankings
• Investigating slow queries with execution plans
• Reviewing table structures and constraints

Plan software projects with guidance on short development cycles called sprints, effort estimates, risk management, and stakeholder updates. Clarify responsibilities, coordinate dependencies, and set realistic goals based on the team's capacity.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Planning sprints around team capacity
• Organizing project risks and mitigation plans
• Clarifying responsibilities across teams

Improve PostgreSQL queries and database design by examining execution plans and choosing indexes for actual access patterns. Get guidance on large tables, JSONB data, connection pooling, and maintenance while accounting for write overhead and memory use.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Investigating slow queries with execution plans
• Choosing indexes for search patterns
• Designing partitions for time-series data

Design file-based storage for agent context, including large tool results, plans, logs, and handoff notes. Keep information available outside the conversation and retrieve relevant sections when needed, instead of loading everything at once.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Saving large tool results for selective reading
• Keeping plans available during long tasks
• Sharing findings between agents through files

Model what an agent believes, wants, and commits to doing. Connect external facts to goals and plans using structured relationships, with evidence and validity periods that help trace why the agent chose an action.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Convert RDF data into agent beliefs
• Trace the reasons behind agent decisions
• Track belief validity and changes over time

Turn papers, code, experiment logs, and notes into an ARA, a structured research package for AI agents. Organizes claims, evidence, verification plans, code stubs, and research decisions, then checks coverage and consistency across the generated files.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Organize a paper and its code into a research package
• Link research claims to tables, figures, and verification plans
• Preserve failed approaches and research decisions

Examine plans, proposals, and decisions by questioning assumptions, building opposing arguments, anticipating failures, or checking evidence. Presents three to five concrete challenges, then uses your responses to develop a stronger position and practical next steps.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Review a plan's assumptions before committing
• Examine objections to a technology or vendor choice
• Anticipate project failures and possible mitigations

Investigate slow PostgreSQL and MySQL queries using execution plans, which show how the database runs a query. Develop index, SQL, and configuration changes, then compare measurements before and after each change to validate the results.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Investigating slow SQL queries
• Reviewing database index design
• Tuning memory and database configuration

Resume a project by restoring its saved context, locating checkpoints, and identifying unfinished plans. The skill presents the current status and routes work to an appropriate next action based on what it finds.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Resuming project work in a new session
• Finding where work was paused
• Identifying plans without completion summaries

Check implemented features through conversational acceptance testing, confirming behavior from the user's perspective. Record each result, retain testing progress, and diagnose reported problems to prepare verified repair plans for a subsequent execution step.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Check completed features from a user's perspective
• Resume an unfinished acceptance testing session
• Diagnose issues and prepare repair plans

View project statistics covering phase progress, plan execution, completed requirements, Git history, and the project timeline. Use the combined view to check how development is progressing across plans, requirements, and recorded changes.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Check progress across project phases
• Review plan execution and requirement completion
• Review Git history statistics and the project timeline

Routes quality checks to the appropriate skill, covering code review and fixes, debugging, security checks, acceptance testing, AI response evaluation, and interface reviews. It also directs requests for validating phase outputs or reviewing plans across AI systems.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Review code and fix reported issues
• Investigate feature failures and errors
• Check security and acceptance testing

Route project management requests to the appropriate GSD skill. Use it to start projects, onboard existing code, manage milestones, import plans, or review backlog items without choosing the individual skill yourself.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Start a project or onboard an existing codebase
• Create or complete a development milestone
• Audit a milestone or summarize its status

Check the `.planning/` directory for missing files, invalid settings, inconsistent state, and orphaned plans. Report issues to address, optionally request repairs, or check context usage—the share of the session’s text capacity already used.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Checking planning files for missing content or inconsistencies
• Finding orphaned plans
• Requesting repairs after a planning directory check

Close a completed development milestone by checking finished work, summarizing achievements, and archiving plans and requirements. Update project records and create a Git version tag to prepare for the next milestone.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Archive plans and requirements for a completed version
• Summarize milestone achievements and change statistics
• Update project records before the next milestone

Store phase documents verbatim in MemPalace, organized as decisions, plans, or milestones. Avoid duplicate entries and mirror decision or delivery facts into a knowledge graph that records when those facts became valid.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Preserve decision documents with their source information
• File plans and summaries by document type
• Record dated decision and delivery facts in a knowledge graph