[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6BZRR3GG2B5XKGVP1AHKVBY":3,"skill-same:01M6BZRR3GG2B5XKGVP1AHKVBY":67},{"skillNo":4,"name":5,"nameZh":6,"description":7,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":16,"categories":17,"keywords":18,"publishedAt":21,"linkOnly":22,"markdownContent":23,"markdownBody":24,"frontMatter":25,"refName":27,"commitSha":28,"skillDirectory":29,"forksCount":30,"repositoryHtmlUrl":31,"repositoryHomepageUrl":32,"ownerHtmlUrl":33,"ownerBlogUrl":6,"ownerDescription":6,"updatedAt":34,"install":35,"resources":48},"01M6BZRR3GG2B5XKGVP1AHKVBY","text.extract_ideas",null,"Extract the most interesting ideas from the text","causify-ai\u002Fhelpers","causify-ai","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F121828442?v=4","01M6BZFTHW2MQR7FWK8CDW0DRA","Causify.AI","01M6BZFTPJ193AB5N089Z82HQG",155,"Apache-2.0","https:\u002F\u002Fgithub.com\u002Fcausify-ai\u002Fhelpers\u002Fblob\u002Fmaster\u002F.claude\u002Fskills\u002Ftext.extract_ideas\u002FSKILL.md",[],[19,20],"text","text extract ideas","2026-11-10 10:12:30",false,"---\ndescription: Extract the most interesting ideas from the text\nmodel: opus\n---\n\n# Goal\n- You are an expert reader and critical thinker\n- Print each step before executing it\n\n# Workflow\n\n## Read the Given Text\n- Analyze the text below and extract the most thought-provoking, surprising, and\n  intellectually interesting ideas\n\n- Focus on:\n  - Ideas that challenge common assumptions or conventional wisdom\n  - Concepts that are counterintuitive, paradoxical, or unexpected\n  - Insights with deep implications (philosophical, scientific, social, or\n    psychological)\n  - Particularly elegant, novel, or powerful ways of explaining something\n  - Any hidden patterns, connections, or underlying themes\n\n## Extract Ideas\n- For each idea create bullet points using following\n  `.claude\u002Fskills\u002Fmarkdown.rules.md` and `.claude\u002Fskills\u002Ftext.rules.md`\n\n- Create an header 1 with a short summary\n  ```markdown\n  # \u003CID>. Creative Destruction as Generative Force\n  ```\n- State the idea clearly and concisely\n  ```markdown\n  **Idea**: ...\n  ```\n- Explain why it is interesting, surprising, or important\n  ```markdown\n  **Why it is interesting**: ...\n  ```\n- (Optional) Add a short reflection or question that deepens the insight\n  ```markdown\n  **Reflections**: ...\n  ```\n\n- E.g.,\n  ```markdown\n  # 1. Pre-training as \"Crappy Evolution\"\n  - **Idea**\n    - ...\n    - ...\n  - **Why it's interesting**:\n    - Pre-training LLMs on internet data creates a practical shortcut to\n      biological evolution: encoding vast human knowledge into neural weights\n    - Not true evolution (doesn't run on biology), but achieves similar\n      bootstrapping in weeks instead of millions of years\n    - Reframes AI development from \"mimicking nature\" to \"using human cultural\n      artifacts as evolutionary substitute\"\n    - Suggests evolution was finding an algorithm; pre-training is compressing\n      knowledge\n  - **Reflection**\n    - If pre-training is evolution's shortcut, what breaks down in the analogy?\n    - Is intelligence from knowledge compression equivalent to intelligence from\n      algorithmic discovery?\n  ```\n\n- Prioritize quality over quantity: select only the most compelling ideas\n\n## Save the Output\n- Save the output in `\u003CFILE>.ideas.md`\n- Run `lint_text.py -i` to format `\u003CFILE>.ideas.md`\n\n# Verification\n- [ ] Confirm `\u003CFILE>.ideas.md` was created\n- [ ] Confirm `lint_text.py -i` ran without errors\n- [ ] Confirm each idea includes Idea, Why it is interesting, and (optional)\n  Reflections\n","# Goal\n- You are an expert reader and critical thinker\n- Print each step before executing it\n\n# Workflow\n\n## Read the Given Text\n- Analyze the text below and extract the most thought-provoking, surprising, and\n  intellectually interesting ideas\n\n- Focus on:\n  - Ideas that challenge common assumptions or conventional wisdom\n  - Concepts that are counterintuitive, paradoxical, or unexpected\n  - Insights with deep implications (philosophical, scientific, social, or\n    psychological)\n  - Particularly elegant, novel, or powerful ways of explaining something\n  - Any hidden patterns, connections, or underlying themes\n\n## Extract Ideas\n- For each idea create bullet points using following\n  `.claude\u002Fskills\u002Fmarkdown.rules.md` and `.claude\u002Fskills\u002Ftext.rules.md`\n\n- Create an header 1 with a short summary\n  ```markdown\n  # \u003CID>. Creative Destruction as Generative Force\n  ```\n- State the idea clearly and concisely\n  ```markdown\n  **Idea**: ...\n  ```\n- Explain why it is interesting, surprising, or important\n  ```markdown\n  **Why it is interesting**: ...\n  ```\n- (Optional) Add a short reflection or question that deepens the insight\n  ```markdown\n  **Reflections**: ...\n  ```\n\n- E.g.,\n  ```markdown\n  # 1. Pre-training as \"Crappy Evolution\"\n  - **Idea**\n    - ...\n    - ...\n  - **Why it's interesting**:\n    - Pre-training LLMs on internet data creates a practical shortcut to\n      biological evolution: encoding vast human knowledge into neural weights\n    - Not true evolution (doesn't run on biology), but achieves similar\n      bootstrapping in weeks instead of millions of years\n    - Reframes AI development from \"mimicking nature\" to \"using human cultural\n      artifacts as evolutionary substitute\"\n    - Suggests evolution was finding an algorithm; pre-training is compressing\n      knowledge\n  - **Reflection**\n    - If pre-training is evolution's shortcut, what breaks down in the analogy?\n    - Is intelligence from knowledge compression equivalent to intelligence from\n      algorithmic discovery?\n  ```\n\n- Prioritize quality over quantity: select only the most compelling ideas\n\n## Save the Output\n- Save the output in `\u003CFILE>.ideas.md`\n- Run `lint_text.py -i` to format `\u003CFILE>.ideas.md`\n\n# Verification\n- [ ] Confirm `\u003CFILE>.ideas.md` was created\n- [ ] Confirm `lint_text.py -i` ran without errors\n- [ ] Confirm each idea includes Idea, Why it is interesting, and (optional)\n  Reflections\n",{"model":26,"description":7},"opus","master","39143a859859181eff7e774457997b5278fd9e99",".claude\u002Fskills\u002Ftext.extract_ideas",170,"https:\u002F\u002Fgithub.com\u002Fcausify-ai\u002Fhelpers","https:\u002F\u002Fcausify.ai","https:\u002F\u002Fgithub.com\u002Fcausify-ai","2026-11-02 02:09:15",{"source":8,"skillName":5,"commands":36,"prompt":46,"zipAvailable":47},[37,40,43],{"tool":38,"command":39},"npx","npx skills add causify-ai\u002Fhelpers --skill text.extract_ideas",{"tool":41,"command":42},"bunx","bunx skills add causify-ai\u002Fhelpers --skill text.extract_ideas",{"tool":44,"command":45},"pnpm","pnpm dlx skills add causify-ai\u002Fhelpers --skill text.extract_ideas","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Fcausify-ai\u002Fhelpers\u002Fblob\u002Fmaster\u002F.claude\u002Fskills\u002Ftext.extract_ideas\u002FSKILL.md",true,[49,55,59,63],{"path":50,"resourceType":51,"resourceTypeDesc":52,"sizeBytes":53,"sourceHtmlUrl":54},"evals\u002Fevals.json","REFERENCE","参考文档",6089,"https:\u002F\u002Fgithub.com\u002FBigdrops\u002Fbigdrops-app\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fsite-architecture\u002Fevals\u002Fevals.json",{"path":56,"resourceType":51,"resourceTypeDesc":52,"sizeBytes":57,"sourceHtmlUrl":58},"references\u002Fmermaid-templates.md",4922,"https:\u002F\u002Fgithub.com\u002FBigdrops\u002Fbigdrops-app\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fsite-architecture\u002Freferences\u002Fmermaid-templates.md",{"path":60,"resourceType":51,"resourceTypeDesc":52,"sizeBytes":61,"sourceHtmlUrl":62},"references\u002Fnavigation-patterns.md",10733,"https:\u002F\u002Fgithub.com\u002FBigdrops\u002Fbigdrops-app\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fsite-architecture\u002Freferences\u002Fnavigation-patterns.md",{"path":64,"resourceType":51,"resourceTypeDesc":52,"sizeBytes":65,"sourceHtmlUrl":66},"references\u002Fsite-type-templates.md",9624,"https:\u002F\u002Fgithub.com\u002FBigdrops\u002Fbigdrops-app\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fsite-architecture\u002Freferences\u002Fsite-type-templates.md",[68,87,104,115,124,133],{"skillNo":69,"name":70,"nameZh":6,"description":71,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":72,"categories":73,"keywords":79,"publishedAt":21},"01M6C9ZMM0XSXCHHABMJ9XB1JB","tutorial_in_60_mins.propagate_docker_changes","Sync tutorial and class-project Docker files to match project_template","https:\u002F\u002Fgithub.com\u002Fcausify-ai\u002Fhelpers\u002Fblob\u002Fmaster\u002F.claude\u002Fskills\u002Ftutorial_in_60_mins.propagate_docker_changes\u002FSKILL.md",[74],{"categoryNo":75,"categoryName":76,"taxonomyType":77,"taxonomyTypeDesc":78},"01JBSEEDCAT000000000000011","运维与部署","SCENARIO","使用场景",[80,81,82,83,84,85,86],"tutorial in 60 mins propagate docker changes","tutorial","docker","files","haiku","template","sync",{"skillNo":88,"name":89,"nameZh":6,"description":90,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":91,"categories":92,"keywords":96,"publishedAt":21},"01M6C9ZJK8QJ9FNCY39WVF3GMG","tutorial_in_60_mins.merge_markdown","Merge the content of a markdown file into a Jupyter notebook","https:\u002F\u002Fgithub.com\u002Fcausify-ai\u002Fhelpers\u002Fblob\u002Fmaster\u002F.claude\u002Fskills\u002Ftutorial_in_60_mins.merge_markdown\u002FSKILL.md",[93],{"categoryNo":94,"categoryName":95,"taxonomyType":77,"taxonomyTypeDesc":78},"01JBSEEDCAT000000000000002","文档处理",[97,98,81,99,100,84,101,102,103],"merge","tutorial in 60 mins merge markdown","markdown","jupyter","file","content","jupyter notebook",{"skillNo":105,"name":106,"nameZh":6,"description":107,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":108,"categories":109,"keywords":110,"publishedAt":21},"01M6C9ZFYK13ZCT1E8BEEC4NG4","tutorial_in_60_mins.format","Format a directory to follow the \"Learn X in 60 Minutes\" tutorial conventions","https:\u002F\u002Fgithub.com\u002Fcausify-ai\u002Fhelpers\u002Fblob\u002Fmaster\u002F.claude\u002Fskills\u002Ftutorial_in_60_mins.format\u002FSKILL.md",[],[111,81,112,113,114,84],"tutorial in 60 mins format","format","directory","learn",{"skillNo":116,"name":117,"nameZh":6,"description":118,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":119,"categories":120,"keywords":121,"publishedAt":21},"01M6C9ZDKXSBKNKX7M3X4W38G5","tutorial_in_60_mins.create","Create a tutorial directory for the Learn X in 60 Minutes conventions","https:\u002F\u002Fgithub.com\u002Fcausify-ai\u002Fhelpers\u002Fblob\u002Fmaster\u002F.claude\u002Fskills\u002Ftutorial_in_60_mins.create\u002FSKILL.md",[],[122,81,123,113,114],"tutorial in 60 mins create","create",{"skillNo":125,"name":126,"nameZh":6,"description":127,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":128,"categories":129,"keywords":130,"publishedAt":21},"01M6BZS5Z0QE03WRS1TM3XJEY9","todo.reorg_in_progress","Reorganize ai_task_queue.md so in-progress tasks, not-started tasks, and mislabeled topic headers sit under the right H1 stage","https:\u002F\u002Fgithub.com\u002Fcausify-ai\u002Fhelpers\u002Fblob\u002Fmaster\u002F.claude\u002Fskills\u002Ftodo.reorg_in_progress\u002FSKILL.md",[],[131,132],"todo reorg in progress","tasks",{"skillNo":134,"name":135,"nameZh":6,"description":136,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":137,"categories":138,"keywords":139,"publishedAt":21},"01M6BZS4CQZ6KK2KQ26SVB7QCS","todo.reorg_headers","Reorganize ai_task_queue.md .md so every H2 topic matches ALL TOPICS and every H3 task sits under the right topic, keeping its H1 stage","https:\u002F\u002Fgithub.com\u002Fcausify-ai\u002Fhelpers\u002Fblob\u002Fmaster\u002F.claude\u002Fskills\u002Ftodo.reorg_headers\u002FSKILL.md",[],[140],"todo reorg headers"]