'constraint' 검색 결과

프로젝트 품질 기준을 수치와 확인 방법으로 문서화합니다. 변경 내역에서 테스트 생략, 경고 억제, 기준 하향을 점검해 에이전트 개발의 품질을 유지합니다.

• 에이전트 개발의 품질 기준 설정
• 커버리지와 성능 목표 선택
• 테스트 생략과 경고 억제 발견

Load project rules before an agent starts work, then apply restrictions to file edits, tests, pushes, and merges. Check pause settings and identify actions that require human approval.

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• Applying project rules before automated work
• Checking protected paths before editing
• Reviewing push and merge conditions

Debug Ecto constraint violations - trace triggers, check migrations, find duplicate data. Use when seeing unique_constraint, foreign_key_constraint, or check_constraint errors.

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Write Git commit messages that preserve why changes were made. The skill keeps Conventional Commits subject lines and adds structured body entries for user intent, decisions, rejected alternatives, constraints, and lessons supported by the session context.

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• Recording the purpose behind a feature
• Preserving design decisions and rejected alternatives
• Documenting constraints and implementation lessons

Analyze a problem by separating fundamental facts from policies and untested assumptions. The skill produces a component breakdown, a constraint table, and a rebuilt solution, helping explain which inherited assumptions may be limiting the available options.

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• Breaking down the causes of high costs
• Reviewing requirements inherited from past projects
• Reconsidering a design that has stalled

Review custom dotnet new templates before publishing. Check required fields, parameter types and defaults, command name conflicts, and constraints, then receive findings grouped by severity with concrete fixes for errors and warnings.

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• Checking template.json before publishing
• Investigating templates missing after installation
• Reviewing parameter types and default values

Adjust how AI agents generate workflows in cc-wf-studio by reviewing node descriptions, examples, and misleading constraints. The skill guides minimal schema edits, format regeneration, and testing to address biased node choices.

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• Investigating repeated selection of the wrong node type
• Revising node descriptions and workflow examples
• Checking for constraints the runtime does not enforce

Solve optimization problems with equality constraints, inequalities, or variable bounds. Guides method selection, symbolic equations, and optimality checks, with SciPy examples for finding numerical solutions that respect the stated constraints.

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• Classify constraints before choosing a solution method
• Solve equality-constrained problems with Lagrange multipliers
• Check KKT conditions for inequality constraints

Work through convex optimization problems by checking convexity, putting objectives and constraints into a standard form, and choosing a solver. The skill provides SciPy examples and outlines checks for constraint satisfaction and mathematical conditions used to assess optimality.

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• Checking whether an objective and its constraints are convex
• Putting a maximization problem into standard minimization form
• Choosing a solver for linear, quadratic, or semidefinite problems

Use this skill for general PostgreSQL table design. **Trigger when user asks to:** - Design PostgreSQL tables, schemas, or data models when creating new tables and when modifying existing ones. - Choose data types, constraints, or indexes for PostgreSQL - Create user tables, order tables, reference tables, or JSONB schemas - Understand PostgreSQL best practices for normalization, constraints, or indexing - Design update-heavy, upsert-heavy, or OLTP-style tables **Keywords:** PostgreSQL schema, table design, data types, PRIMARY KEY, FOREIGN KEY, indexes, B-tree, GIN, JSONB, constraints, normalization, identity columns, partitioning, row-level security Comprehensive reference covering data types, indexing strategies, constraints, JSONB patterns, partitioning, and PostgreSQL-specific best practices.

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Automatically complete partial code snippets while satisfying semantic constraints including variable types, invariants, pre/post-conditions, interface contracts, and expected input/output behavior. Use when users provide incomplete code with specific requirements like "complete this function that takes a list and returns sorted unique elements" or "fill in this method body that must maintain the invariant that x stays positive" or "implement this interface method with these type constraints." Produces compilable, executable code with tests and a constraint satisfaction report.

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Establishes a project's quality bar as a written contract and stops agents quietly lowering it. Interviews the user on which dimensions matter, supplies sane default thresholds when they have no number in mind, records everything in CONSTRAINTS.md, and watches the diff for a weakened bar — new @ts-ignore or eslint-disable suppressions, skipped or deleted tests, assertions stripped out, unimplemented stubs, thresholds edited down. Use when no quality bar is written down, when the user says "set up constraints" or "define our standards", when the user wants dimensions they care about — accessibility, web performance, coverage — set up as enforced constraints, when an agent keeps silencing checks or skipping tests to get to green, when you need a coverage or performance threshold and don't know what number to pick, or when an agent writes more code than anyone will read.

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Establishes a project's quality bar as a written contract and stops agents quietly lowering it. Interviews the user on which dimensions matter, supplies sane default thresholds when they have no number in mind, records everything in CONSTRAINTS.md, and watches the diff for a weakened bar — new @ts-ignore or eslint-disable suppressions, skipped or deleted tests, assertions stripped out, unimplemented stubs, thresholds edited down. Use when no quality bar is written down, when the user says "set up constraints" or "define our standards", when the user wants dimensions they care about — accessibility, web performance, coverage — set up as enforced constraints, when an agent keeps silencing checks or skipping tests to get to green, when you need a coverage or performance threshold and don't know what number to pick, or when an agent writes more code than anyone will read.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Slack에서 사용할 애니메이션 GIF를 만듭니다. 기본 동작 요소를 조합하고 크기 제한을 검증하면서 반응용 GIF나 작은 애니메이션을 제작할 수 있습니다.

• Slack 대화용 반응 GIF 제작
• 작은 애니메이션 GIF 제작
• GIF 제작 중 크기 제한 확인

AI 에이전트가 여러 작은 UI 구성 요소를 만들 때 공통 제작 규칙을 적용합니다. 인터페이스 전체의 일관성을 유지하는 지침으로 활용합니다.

• 여러 UI 구성 요소의 일관성을 유지합니다
• 에이전트에 공통 화면 제작 규칙을 전달합니다
• 제작 계획에 UI 제약을 반영합니다

구현 전에 새 기능의 요구 사항, 인수 기준, 제약과 오류 시 동작을 정리합니다. 기존 코드와 연동 지점도 확인하고 후속 설계에서 참조할 명세를 메모리에 저장합니다.

• 새 기능의 요구 사항을 정리합니다
• 검증 가능한 인수 기준을 작성합니다
• 제약과 오류 시 동작을 파악합니다

사용자가 AI 팀에 제공하거나 승인한 결정 사항, 제약, 사실을 출처와 함께 저장합니다. 팀별로 검색해 되짚어 보고 검색 기능의 축소 여부도 확인합니다.

• 팀의 결정 사항을 출처와 함께 남길 때
• 승인된 제약과 사실을 기록할 때
• 팀이 알고 있는 정보를 되짚어 볼 때

Solve optimization problems in Python with one or several competing goals. Define constraints, compare search algorithms, visualize trade-offs, and assess candidate solutions before choosing an option that fits your priorities.

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• Comparing designs with competing cost and performance goals
• Searching for solutions under explicit constraints
• Benchmarking optimization algorithms

Design and review PostgreSQL database schemas by choosing suitable column types, keys, constraints, and indexes. It also guides decisions about large-table partitioning, flexible JSONB data, and schema changes on a live database without downtime.

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• Designing or reviewing a new PostgreSQL schema
• Choosing data types, constraints, and indexes
• Planning partitions for a large table

Clarify a task through interactive questions before carrying it out. Using Joyride’s input tool, establish scope, deliverables, constraints, and success criteria, then present a plan and create a todo list before starting work.

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• Clarify the scope of a vague request
• Agree on deliverables and success criteria
• Identify technical and procedural constraints

Compare technology options, review a system design, or plan a new component from requirements and constraints. The skill organizes the reasoning into an architecture decision record, a document covering alternatives, trade-offs, consequences, and next steps.

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• Compare technologies before choosing one
• Document the reasoning behind a design decision
• Review a proposed system design

Compare technology options, review a system design, or plan a new component from requirements and constraints. The skill organizes the reasoning into an architecture decision record, a document covering alternatives, trade-offs, consequences, and next steps.

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• Compare technologies before choosing one
• Document the reasoning behind a design decision
• Review a proposed system design

Review how an AI agent loads, retains, summarizes, and shares working information. This historical guide helps examine forgotten constraints, repeated actions, tool selection, and handoffs using context engineering practices published in 2024–2025.

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• Reviewing information loaded at startup versus on demand
• Investigating repeated actions or forgotten constraints
• Planning summaries and persistent task notes

Guide the use of NVIDIA cuOpt for route planning and mathematical optimization, choosing values to minimize cost or maximize profit under constraints. Covers requirements, environment checks, installation guidance, and verification of solver results.

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• Clarify vehicle routing requirements and constraints
• Plan how to use cuOpt through Python, REST, C, or CLI
• Review installation and server setup options