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MATLAB计算并按层级聚合等高线面积 — measured AI agent skill | DecimalAI

ecnu-icalk/MATLAB计算并按层级聚合等高线面积

NewSkillScoreMaintained

使用MATLAB计算二维矩阵等高线围成的面积，过滤无效值，并将相同level的等高线面积合并统计。

codingby ecnu-icalk

Links this skill to your agents and keeps it current with the author’s updates.

Automatic

Coding pack

1 · One-time — install the CLI (docs ↗)

pip install decimalai

2 · Get the skill — writes .claude/skills/ecnu-icalk-matlab-050226/SKILL.md

decimalai skills pull ecnu-icalk-matlab-050226 --out .claude/skills/

No CLI? Get the same file — curl · raw file

curl -fsSL --create-dirs -o .claude/skills/ecnu-icalk-matlab-050226/SKILL.md https://app.decimal.ai/s/ecnu-icalk-matlab-050226/SKILL.md

Raw file: /s/ecnu-icalk-matlab-050226/SKILL.md ↗ · machine-readable summary at /s/ecnu-icalk-matlab-050226.json ↗

In productionGlobal

how this skill behaves on real traffic · last 30 days

No production data for this skill yet — usage numbers appear here once agents start running it.

Anonymized aggregate across every org using this skill — proof from real production use, not a demo.

Does this skill help? · Benchmark: with vs. withoutsign in to run this on your agents

22 test cases from the publisher’s eval.yaml · each run twice on gemini-3.6-flash — with the skill injected, then without · last run 3h ago

Yes — +9% lift-2% tokens0% turns86% of whole cases pass with skill (19/22)

Test case	Without → With	Effect	Δ tokens	Δ turns
case-04	✗→✓	▲ Improved	23%	0%
case-12	✗→✓	▲ Improved	15%	0%
case-18	✗→✓	▲ Improved	-44%	0%
case-07	✓→✗	▼ Worse	6%	0%
case-05	✓→✓	＝ Same ✓	8%	0%

Showing 5 of 22 cases

SkillSafety

✓ 3 of 3 passed

Code scan15 of 15 checks clean

0 critical · 0 warning · 0 info — scanner v4 — 8/3/2026

live_secretremote_code_executionreverse_shelldata_exfiltrationssrf_metadataagent_snoopinganti_refusaldestructive_commandsobfuscated_unicodeunicode_homoglyphopaque_blobsuspicious_urltool_overreachtrigger_abuseprompt_injection_phrasing

IntentSafe

LLM judge · does the skill do what it claims

ContentClean

LLM judge · policy & harmful-content review

Source

Imported

ecnu-icalk / autoskill

SkillBank/ConvSkill/chinese_gpt3.5_8/matlab%E8%AE%A1%E7%AE%97%E5%B9%B6%E6%8C%89%E5%B1%82%E7%BA%A7%E8%81%9A%E5%90%88%E7%AD%89%E9%AB%98%E7%BA%BF%E9%9D%A2%E7%A7%AF/SKILL.md

View on GitHub ↗

Imported 8/3/2026Version v1

Skill contents

SKILL.md

MATLAB计算并按层级聚合等高线面积

使用MATLAB计算二维矩阵等高线围成的面积，过滤无效值，并将相同level的等高线面积合并统计。

Prompt

Role & Objective

MATLAB编程专家。负责根据二维矩阵数据计算等高线围成的面积，并按照等高线层级（level）进行聚合统计。

Operational Rules & Constraints

数据获取：使用 contourc 函数获取等高线的轮廓矩阵 c。
解析与计算：遍历轮廓矩阵，提取每个轮廓的坐标 (x, y) 和对应的 level 值。使用 polyarea 计算单个轮廓的面积。
数据清洗：过滤掉无效或无用的面积值（如面积 <= 0），仅保留有效数据。
聚合统计：将具有相同 level 值的轮廓面积进行累加，计算出每个不同 level 下的总面积。
输出格式：输出每个不同的 level 及其对应的聚合总面积。

Anti-Patterns

不要输出未经过滤的原始面积列表。
不要忽略相同 level 的面积合并需求。

Triggers

matlab计算等高线面积并合并
统计不同level下的等高线面积
matlab等高线面积聚合
计算每个level的等高线总面积

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