메뉴
Recover missing spreadsheet values from row and column totals, percentage shares, year-over-year changes, CAGR relationships, and cross-sheet constraints.
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.
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/benchflow-ai/skillsbench --skill data-reconciliation명령은 한 줄로 유지됩니다. 복사하기 전에 가로로 스크롤해 전체 내용을 확인하세요.
로컬 사본을 원하시나요? SkillsMP에서 현재 제공할 수 있는 파일을 다운로드하세요.
SOC 직업 분류 기준
SkillsBench contribution workflow. Use when: (1) Creating benchmark tasks, (2) Understanding repo structure, (3) Preparing PRs for task submission.
SkillsBench task authoring — walk a contributor from idea to submission-ready task following CONTRIBUTING.md and the task-implementation rubric. Use when the user wants to create a new SkillsBench task, scaffold a task from an existing workflow (notebook, Excel workbook, document, dataset), convert a prompt or a benchmark item into a SkillsBench task, write skills for a task, or prepare a SkillsBench PR. Pairs with `task-review` (run that as a self-check before submitting).
SkillsBench task PR review — classifies the task track (standard / research / multimodal), runs static policy checks against the track-specific rubric, benchmarks the task across oracle plus Claude and Codex (with and without skills), audits trajectories for cheating and skill invocation, and produces a `pr-N-task-timestamp-run.txt` review report alongside a `prN.zip` bundle of trajectories. Use when reviewing a SkillsBench task PR (by number, branch, or local task path), when the user asks to review a task, run benchmarks on a PR, audit a submission, classify a task as research or multimodal track, or prepare a comment to post on a SkillsBench PR.
SKILL.md 표시 중
| name | data-reconciliation |
| description | Recover missing spreadsheet values from row and column totals, percentage shares, year-over-year changes, CAGR relationships, and cross-sheet constraints. |
Techniques for recovering missing values from financial and tabular data using mathematical constraints.
When totals are provided, missing values can be recovered:
Missing = Total - Sum(Known Values)
Example: If a row sums to 1000 and you know 3 of 4 values (200, 300, 400), the missing value is:
Missing = 1000 - (200 + 300 + 400) = 100
When you have percentage changes between periods:
Current = Previous × (1 + YoY_Change/100)
To recover a previous value from current:
Previous = Current / (1 + YoY_Change/100)
When you know a value's share of the total:
Value = Total × (Share/100)
Example: If total budget is 50000 and a department's share is 20%:
Value = 50000 × 0.20 = 10000
For multi-year growth analysis:
CAGR = ((End_Value / Start_Value)^(1/years) - 1) × 100
Example: If Year 1 was 1000 and Year 5 is 1500 (4 years of growth):
CAGR = ((1500/1000)^(1/4) - 1) × 100 = 10.67%
To recover a start or end value:
End = Start × (1 + CAGR/100)^years
Start = End / (1 + CAGR/100)^years
Always verify recovered values:
Sometimes you must solve values in a specific order:
Always map out dependencies before starting.
| Constraint Type | Formula | When to Use |
|---|---|---|
| Sum to total | Missing = Total - Σ(known) | Missing one component |
| YoY forward | New = Old × (1 + %/100) | Know previous + change |
| YoY backward | Old = New / (1 + %/100) | Know current + change |
| Share of total | Part = Total × share% | Know total + percentage |
| CAGR | ((End/Start)^(1/n)-1)×100 | Multi-year growth rate |