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SKILL verified MIT Self-run

Resource2skill

skill-shaowenglu-afk-resource2skill-resource2skill · by shaowenglu-afk

把人类创作的资源(教程视频/文章/代码仓库/成品参考)蒸馏成可复用的 skill——Resource2Skill 论文 (arXiv:2606.29538) 构建算子的本地实现。触发场景:用户说"把这个视频/教程/文章变成 skill"、"蒸馏这个资源"、"入库这个教程"、给出教程链接并希望沉淀为规范/技能,或要为某领域批量建技能库时。产物形态按目标域适配(Claude Code skill / PPT 版式技能 / n8n 工作流模式等)。

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Install

$ agentstack add skill-shaowenglu-afk-resource2skill-resource2skill

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

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Reliability & compatibility

Security review passed
0 installs to date
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21d ago

Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

Preview Execution monitoring

We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.

How agent discovery & health will work →
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About

resource2skill — 资源蒸馏为技能

方法来自微软 Resource2Skill 论文:蒸馏算子 fθ(会话内的我 + 视觉)+ 五道确定性质检门 AD。 已验证案例:PPT 域(~/论文转实践/r2s-ppt/,双臂盲评 6.6 vs 4.6)、 前端规范域(~/.claude/skills/frontend-design-spec/)。

停点约定(重要)

全程只停两次,其余步骤连续执行不询问:

  • 停点①(蒸馏评估后):汇报该资源能蒸出什么、数值/操作密度够不够;不够时给两个选项——补同系列资源,或用用户自有材料(设计稿/内部录屏)作第四类资源
  • 停点②(质检后):展示冒烟产物(截图/渲染)供用户验收

流程

1. 采集(长任务一律后台)

  • 视频scripts/fetch.sh [whisper语言] —— yt-dlp ≤720p + 字幕

(无字幕自动 whisper medium)+ 联络表抽帧(fps 自适应,目标 ~50 帧/视频)

  • 文章scripts/fetch_article.sh (自带导航壳检测,` 机械检查门 1-4 与派生纪律;

形态 B 用对应项目的 gates.py。

4. 入库

  • Claude Code skill → ~/.claude/skills//(SKILL.md 的 description 必须写清触发词

与既有 skill 的边界分工)

  • 域技能库条目 → 对应项目的 skills_wiki///

停点②(展示冒烟截图/渲染件 + gate_skill.py 结果)

5. (可选)双臂验证

协议、反偏差手段与结果解读纪律见 references/validation.md(含防过拟合规则与 两个已归档案例)。修复后复验报「分差收敛量」,不只报胜负。

关键纪律

  • 骨架与皮肤分层:蒸馏规范/风格类资源时,把「通用结构规则」(档位体系、状态要求、

层级纪律)与「源项目具体值」(品牌色、示例字体)显式分开;皮肤层必须在产物中标明 出处并设为使用时的第 0 步适配项。教训:前端域验证中源色板被字面移植到咖啡品牌, 盲评落败 1.8 分(结构纪律项全胜)——正是论文的 overly literal composition 失败模式

  • 缺口用行业惯例补齐时必须标 [derived] 并写入溯源表——不许把派生值冒充原始值
  • 单个资源蒸不满时宁可少条目,不造空心规则(论文教训:部分接地的技能比没有更糟)
  • 版权:蒸馏做个人知识沉淀没问题;若产物要公开分发,先提醒用户确认素材来源

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

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Versions

  • v0.1.0 Imported from the upstream source.