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- aiFabricoCom/fabrico-collections-codex
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- 2026년 7월 14일 18:53
- 감지된 SKILL.md 언어
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설치 방법
기본적으로 소스를 먼저 확인하는 Prompt가 선택됩니다. 직접 명령으로 전환하거나 로컬 사본을 다운로드할 수도 있습니다.
소스 파일 검토
설치 여부를 결정하기 전에 SKILL.md와 SkillsMP에 표시된 보조 파일을 읽어 보세요.
메뉴
기본적으로 소스를 먼저 확인하는 Prompt가 선택됩니다. 직접 명령으로 전환하거나 로컬 사본을 다운로드할 수도 있습니다.
설치 여부를 결정하기 전에 SKILL.md와 SkillsMP에 표시된 보조 파일을 읽어 보세요.
SOC 직업 분류 기준
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
직접 명령은 검토 Prompt를 거치지 않습니다. 실행하기 전에 소스를 확인하세요.
npx skills add https://github.com/aiFabricoCom/fabrico-collections-codex --skill fabrico-plan명령은 한 줄로 유지됩니다. 복사하기 전에 가로로 스크롤해 전체 내용을 확인하세요.
로컬 사본을 원하시나요? SkillsMP에서 현재 제공할 수 있는 파일을 다운로드하세요.
SKILL.md 표시 중
Audit AWS cost optimization and tagging compliance.
Audit GCP cost optimization and labeling compliance.
Process discovery materials into Jira-ready epics and user stories, or iterate on an existing backlog.
| name | fabrico-plan |
| description | Prepare a detailed implementation plan from the feature context. |
Invocation portability:
$fabrico-*below means the discovered entry workflow. Use the unqualified name for repository or filesystem installs and$fabrico-collections:fabrico-*for plugin installs.
Use the user’s current request as the workflow input. Expected context: [task or Jira ID].
Analyze the feature context file for the provided task or Jira ID. Based on it, prepare a detailed implementation plan that a software engineer can follow step by step to deliver the feature.
The file outcome should be a markdown file named after the task Jira ID in kebab-case format or after task name (if no Jira task provided) with .plan.md suffix (e.g., user-authentication.plan.md). The file should be placed in the specifications directory under a folder named after the issue ID or the shortened task name in kebab-case format.
Before starting, load and follow these skills:
fabrico-architecture-designing - for the architecture design process and output template (plan.example.md)fabrico-codebase-analysing - for analyzing the existing codebasefabrico-implementation-gap-analysing - for verifying what exists vs what needs to be builtfabrico-technical-context-discovering - for understanding project conventions and patternsfabrico-sql-and-database-understanding - when the feature involves database schema design, data model changes, migrations, or query-heavy implementation.research.md) thoroughly to understand the requirements and scope. Cross-check with industry, domain, and company best practices.AGENTS.md guidance. Save them in the "Technical Context" section of the plan file. This section is critical — downstream implementation agents will read it to avoid redundant codebase analysis. Be thorough: include framework conventions, naming patterns, test commands, linting rules, and any project-specific standards.AGENTS.md/AGENTS.override.md files. Incorporate findings into the "Technical Context" section.[CREATE], [MODIFY], or [REUSE][REUSE] UI verification task immediately after each implementation task that produces visible UI. The verification task should reference the fabrico-ui-reviewer subagent, include the Figma URL, and describe the verify-fix loop (max 5 iterations). Non-visual tasks (data fetching, state management, API integration) do not need verification tasks.plan.example.md template from the fabrico-architecture-designing skill strictly.Don't provide deployment plans, code pushing instructions, or code review instructions in the repository.
Follow the template structure and naming conventions strictly to ensure clarity and consistency.
In case of any ambiguities or missing information for the planning, ask for clarification before finalizing the plan.
Update the plan file after each interaction if new information is gathered.