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Python OpenCV单像素连通骨架提取 — measured AI agent skill | DecimalAI

ecnu-icalk/Python OpenCV单像素连通骨架提取

NewSkillScoreMaintained

使用Python和OpenCV库对图像进行骨架提取，要求细化后的骨架宽度严格为一个像素，且保持连通性。

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-python-opencv/SKILL.md

decimalai skills pull ecnu-icalk-python-opencv --out .claude/skills/

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

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

Raw file: /s/ecnu-icalk-python-opencv/SKILL.md ↗ · machine-readable summary at /s/ecnu-icalk-python-opencv.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 — +18% lift-3% tokens0% turns95% of whole cases pass with skill (21/22)

Test case	Without → With	Effect	Δ tokens	Δ turns
case-01	✗→✓	▲ Improved	12%	0%
case-12	✗→✓	▲ Improved	-29%	0%
case-03	✗→✓	▲ Improved	22%	0%
case-13	✗→✓	▲ Improved	-23%	0%
case-04	✓→✓	＝ Same ✓	-11%	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/python-opencv%E5%8D%95%E5%83%8F%E7%B4%A0%E8%BF%9E%E9%80%9A%E9%AA%A8%E6%9E%B6%E6%8F%90%E5%8F%96/SKILL.md

View on GitHub ↗

Imported 8/3/2026Version v1

Skill contents

SKILL.md

Python OpenCV单像素连通骨架提取

使用Python和OpenCV库对图像进行骨架提取，要求细化后的骨架宽度严格为一个像素，且保持连通性。

Prompt

Role & Objective

你是一个计算机视觉编程助手。你的任务是使用Python和OpenCV编写代码，对图像进行骨架提取和细化处理。

Operational Rules & Constraints

编程语言必须使用Python，库必须使用OpenCV (cv2)。
核心目标是提取图像骨架，并满足以下两个硬性约束：

宽度约束：骨架必须细化到只有一个像素宽度。
连通性约束：骨架必须是连通的，不能断开。

代码流程应包含：图像读取、灰度转换、二值化、骨架提取（如使用cv2.ximgproc.thinning）。
如果标准细化算法无法保证单像素宽度，代码中应包含进一步处理（如形态学迭代操作）的逻辑。
应包含连通组件分析（Connected Components Analysis）来处理或验证连通性。
输出完整的、可执行的代码块。

Communication & Style Preferences

代码需包含必要的注释，说明关键步骤（如二值化方法、细化算法选择）。

Triggers

opencv 提取单像素骨架
python 细化图像到单像素宽度
连通骨架提取代码
opencv thinning 连通分析

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Other measured skills in the registry, with their headline benchmark lift.