[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6FGFKC5YSRZB624YAXMFBZP":3,"skill-same:01M6FGFKC5YSRZB624YAXMFBZP":80},{"skillNo":4,"name":5,"nameZh":6,"description":7,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":15,"categories":16,"keywords":17,"publishedAt":38,"linkOnly":39,"markdownContent":40,"markdownBody":41,"frontMatter":42,"refName":43,"commitSha":44,"skillDirectory":45,"forksCount":46,"repositoryHtmlUrl":47,"repositoryHomepageUrl":6,"ownerHtmlUrl":48,"ownerBlogUrl":6,"ownerDescription":6,"updatedAt":49,"install":50,"resources":63},"01M6FGFKC5YSRZB624YAXMFBZP","recipe-to-list",null,"Turn recipes into a Todoist Shopping list. Extract ingredients from recipe photos (Gemini Flash vision) or recipe web pages (search + fetch), then compare against the existing Shopping project with conservative synonym\u002Foverlap rules, skip pantry staples (salt\u002Fpepper), and sum quantities when units match. Also saves each cooked recipe into the workspace cookbook (recipes\u002F).","kbarbel640-del\u002Fskills","kbarbel640-del","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F255315490?v=4","01M6CJPPQGCCESXMG3K7BBGQ5J","01M6CJPPX2PB2BCZERFVM2C2B3",1,"MIT","https:\u002F\u002Fgithub.com\u002Fkbarbel640-del\u002Fskills\u002Fblob\u002Fmain\u002Fskills\u002Fborahm\u002Frecipe-to-list\u002FSKILL.md",[],[18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37],"recipe","list","recipe to list","shopping","match","with","compare","recipes","pages","project","units","gemini","todoist","fetch","Rules","workspace","flash","search","web","gemini flash","2026-11-10 10:12:30",false,"---\nname: recipe-to-list\ndescription: Turn recipes into a Todoist Shopping list. Extract ingredients from recipe photos (Gemini Flash vision) or recipe web pages (search + fetch), then compare against the existing Shopping project with conservative synonym\u002Foverlap rules, skip pantry staples (salt\u002Fpepper), and sum quantities when units match. Also saves each cooked recipe into the workspace cookbook (recipes\u002F).\n---\n\n# Create Shopping List (Gemini Flash + Todoist)\n\nTarget flow:\n1) Input is either a **photo** or a **recipe web search**\n2) Extract ingredients (Gemini Flash for photos; web_fetch text → Gemini for websites)\n3) Pull current Todoist **Shopping** list\n4) Compare using overlap + synonym mapping (kept conservative; only merge high-confidence equivalents like coriander↔cilantro, panko↔breadcrumbs)\n5) Update **Shopping** (default: add only missing items; skip salt\u002Fpepper)\n\nUse the bundled script to handle the **photo → ingredients → Shopping update** part.\n\nIt also **automatically saves** a markdown entry into `recipes\u002F` (your cookbook knowledge base) and appends to `recipes\u002Findex.md`.\n\nFor **recipe-name → web search**, do it confirm-first using `web_search` + `web_fetch`, then feed the ingredients into the same update logic (and save the recipe).\n\n## Prereqs\n\n- Env: `GEMINI_API_KEY` (or `GOOGLE_API_KEY`) for Gemini\n- Env: `TODOIST_API_TOKEN` for Todoist\n- Bin: `todoist` (todoist-ts-cli)\n\n## Output formatting\n\n- Items are reformatted to start with the **ingredient name**, followed by a parenthetical quantity.\n- The Shopping list is kept **flat** (no Todoist sections\u002Fgroups).\n\n## Run\n\n```bash\npython3 skills\u002Frecipe-to-list\u002Fscripts\u002Frecipe_to_list.py \\\n  --image \u002Fpath\u002Fto\u002Fphoto.jpg \\\n  --title \"\u003Coptional title>\" \\\n  --source \"photo:\u002Fpath\u002Fto\u002Fphoto.jpg\"\n```\n\n### Optional flags\n\n- `--model gemini-2.0-flash` (default; falls back automatically) or any compatible Gemini vision model\n- `--dry-run` to print extracted items without creating tasks\n- `--prefix \"[Recipe] \"` to prefix each created task\n- `--no-overlap-check` to skip checking your existing Shopping list\n- `--include-pantry` to include salt\u002Fpepper\n- `--no-save` to skip saving into `recipes\u002F`\n\n## What to send to the model\n\nThe script prompts Gemini to return **strict JSON**:\n\n```json\n{\n  \"items\": [\"2 large globe eggplants\", \"kosher salt\", \"...\"],\n  \"notes\": \"optional\"\n}\n```\n\nIf parsing fails, rerun with a clearer crop (ingredients list only) or provide a manual list.\n","# Create Shopping List (Gemini Flash + Todoist)\n\nTarget flow:\n1) Input is either a **photo** or a **recipe web search**\n2) Extract ingredients (Gemini Flash for photos; web_fetch text → Gemini for websites)\n3) Pull current Todoist **Shopping** list\n4) Compare using overlap + synonym mapping (kept conservative; only merge high-confidence equivalents like coriander↔cilantro, panko↔breadcrumbs)\n5) Update **Shopping** (default: add only missing items; skip salt\u002Fpepper)\n\nUse the bundled script to handle the **photo → ingredients → Shopping update** part.\n\nIt also **automatically saves** a markdown entry into `recipes\u002F` (your cookbook knowledge base) and appends to `recipes\u002Findex.md`.\n\nFor **recipe-name → web search**, do it confirm-first using `web_search` + `web_fetch`, then feed the ingredients into the same update logic (and save the recipe).\n\n## Prereqs\n\n- Env: `GEMINI_API_KEY` (or `GOOGLE_API_KEY`) for Gemini\n- Env: `TODOIST_API_TOKEN` for Todoist\n- Bin: `todoist` (todoist-ts-cli)\n\n## Output formatting\n\n- Items are reformatted to start with the **ingredient name**, followed by a parenthetical quantity.\n- The Shopping list is kept **flat** (no Todoist sections\u002Fgroups).\n\n## Run\n\n```bash\npython3 skills\u002Frecipe-to-list\u002Fscripts\u002Frecipe_to_list.py \\\n  --image \u002Fpath\u002Fto\u002Fphoto.jpg \\\n  --title \"\u003Coptional title>\" \\\n  --source \"photo:\u002Fpath\u002Fto\u002Fphoto.jpg\"\n```\n\n### Optional flags\n\n- `--model gemini-2.0-flash` (default; falls back automatically) or any compatible Gemini vision model\n- `--dry-run` to print extracted items without creating tasks\n- `--prefix \"[Recipe] \"` to prefix each created task\n- `--no-overlap-check` to skip checking your existing Shopping list\n- `--include-pantry` to include salt\u002Fpepper\n- `--no-save` to skip saving into `recipes\u002F`\n\n## What to send to the model\n\nThe script prompts Gemini to return **strict JSON**:\n\n```json\n{\n  \"items\": [\"2 large globe eggplants\", \"kosher salt\", \"...\"],\n  \"notes\": \"optional\"\n}\n```\n\nIf parsing fails, rerun with a clearer crop (ingredients list only) or provide a manual list.\n",{"name":5,"description":7},"main","e7e336ac628c3e3bd771aff1aaa469c93778f94a","skills\u002Fborahm\u002Frecipe-to-list",0,"https:\u002F\u002Fgithub.com\u002Fkbarbel640-del\u002Fskills","https:\u002F\u002Fgithub.com\u002Fkbarbel640-del","2026-08-23 22:39:37",{"source":8,"skillName":5,"commands":51,"prompt":61,"zipAvailable":62},[52,55,58],{"tool":53,"command":54},"npx","npx skills add kbarbel640-del\u002Fskills --skill recipe-to-list",{"tool":56,"command":57},"bunx","bunx skills add kbarbel640-del\u002Fskills --skill recipe-to-list",{"tool":59,"command":60},"pnpm","pnpm dlx skills add kbarbel640-del\u002Fskills --skill recipe-to-list","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Fkbarbel640-del\u002Fskills\u002Fblob\u002Fmain\u002Fskills\u002Fborahm\u002Frecipe-to-list\u002FSKILL.md",true,[64,70,76],{"path":65,"resourceType":66,"resourceTypeDesc":67,"sizeBytes":68,"sourceHtmlUrl":69},"_meta.json","REFERENCE","参考文档",458,"https:\u002F\u002Fgithub.com\u002Fkbarbel640-del\u002Fskills\u002Fblob\u002Fmain\u002Fskills\u002Fborahm\u002Frecipe-to-list\u002F_meta.json",{"path":71,"resourceType":72,"resourceTypeDesc":73,"sizeBytes":74,"sourceHtmlUrl":75},"scripts\u002Frecipe_to_list.py","SCRIPT","脚本",39843,"https:\u002F\u002Fgithub.com\u002Fkbarbel640-del\u002Fskills\u002Fblob\u002Fmain\u002Fskills\u002Fborahm\u002Frecipe-to-list\u002Fscripts\u002Frecipe_to_list.py",{"path":77,"resourceType":72,"resourceTypeDesc":73,"sizeBytes":78,"sourceHtmlUrl":79},"scripts\u002Frecipe-to-list.sh",327,"https:\u002F\u002Fgithub.com\u002Fkbarbel640-del\u002Fskills\u002Fblob\u002Fmain\u002Fskills\u002Fborahm\u002Frecipe-to-list\u002Fscripts\u002Frecipe-to-list.sh",[81,111,140,160,166,186],{"skillNo":82,"name":83,"nameZh":6,"description":84,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":85,"categories":86,"keywords":92,"publishedAt":38},"01M6G8J55967D6281ACMKAKTEQ","crowd-prompting","A marketplace where AI agents improve prompts, system instructions, tool descriptions, and other text-based content with domain expertise from real-world operations — and earn tokens for valuable contributions.","https:\u002F\u002Fgithub.com\u002Fkbarbel640-del\u002Fskills\u002Fblob\u002Fmain\u002Fskills\u002Fzzadrian\u002Fcrowd-prompting\u002FSKILL.md",[87],{"categoryNo":88,"categoryName":89,"taxonomyType":90,"taxonomyTypeDesc":91},"01JBSEEDCAT000000000000036","内容创作者","PROFESSION","适用职业",[93,94,95,23,96,97,98,99,100,101,102,103,104,105,106,107,108,109,110],"crowd prompting","prompting","api","tokens","domain","world","prompts","operations","instructions","text","tool","system","improve","productivity","marketplace","https","content","ai agents",{"skillNo":112,"name":113,"nameZh":6,"description":114,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":115,"categories":116,"keywords":122,"publishedAt":38},"01M6G8J0PKPAYVET6BWE8W4C26","dilemm-ai","Compete in DilemmAI, the prisoner's dilemma AI arena at dilemm.ai. Use when an OpenClaw agent wants to create an account, design and submit strategy prompts for their bot, enter matchmaking, analyze historical matches and leaderboards, and iterate on bot strategy. Requires headless browser automation (no API available yet).","https:\u002F\u002Fgithub.com\u002Fkbarbel640-del\u002Fskills\u002Fblob\u002Fmain\u002Fskills\u002Fzyori\u002Fdilemm-ai\u002FSKILL.md",[117],{"categoryNo":118,"categoryName":119,"taxonomyType":120,"taxonomyTypeDesc":121},"01JBSEEDCAT000000000000023","Skill与智能体开发","SCENARIO","使用场景",[123,95,124,125,126,127,128,129,130,131,132,133,134,135,136,137,138,99,139],"dilemm ai","arena","analyze","browser","openclaw agent","create","automation","browser automation","bot","openclaw","design","strategy","headless","compete","submit","matchmaking","use",{"skillNo":141,"name":142,"nameZh":6,"description":143,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":144,"categories":145,"keywords":149,"publishedAt":38},"01M6G8HWAF3K9SW7NP3Z83CPJ6","arxiv-paper-reviews","Interact with arXiv Crawler API to fetch papers, read reviews, and submit comments. Use when working with arXiv papers, fetching paper lists by date\u002Fcategory\u002Finterest, viewing paper details with comments, or submitting paper reviews via API at http:\u002F\u002F150.158.152.82:8000.","https:\u002F\u002Fgithub.com\u002Fkbarbel640-del\u002Fskills\u002Fblob\u002Fmain\u002Fskills\u002Fzxrys\u002Fweak-accept\u002FSKILL.md",[146],{"categoryNo":147,"categoryName":148,"taxonomyType":120,"taxonomyTypeDesc":121},"01JBSEEDCAT000000000000021","资料检索与研究",[150,151,152,153,154,155,156,23,31,137,139,157,95,158,159],"arxiv paper reviews","reviews","arxiv","paper","crawler","papers","comments","read","http","via",{"skillNo":161,"name":142,"nameZh":6,"description":143,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":162,"categories":163,"keywords":165,"publishedAt":38},"01M6G8HQJ7N7WMY6YV7D7SSJ16","https:\u002F\u002Fgithub.com\u002Fkbarbel640-del\u002Fskills\u002Fblob\u002Fmain\u002Fskills\u002Fzxrys\u002Farxiv-paper-reviews\u002FSKILL.md",[164],{"categoryNo":147,"categoryName":148,"taxonomyType":120,"taxonomyTypeDesc":121},[153,152,151,150,159,155,156,23,154,137,139,31,157,95,158],{"skillNo":167,"name":168,"nameZh":6,"description":169,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":170,"categories":171,"keywords":172,"publishedAt":38},"01M6G8HM95Y64JNVFC2HN4E2BG","git-summary","Get a quick summary of the current Git repository including status, recent commits, branches, and contributors.","https:\u002F\u002Fgithub.com\u002Fkbarbel640-del\u002Fskills\u002Fblob\u002Fmain\u002Fskills\u002Fzweack\u002Fgit-summary\u002FSKILL.md",[],[173,174,175,176,177,178,179,180,181,182,183,184,185],"git","summary","git summary","commits","repository","win32","status","linux","contributors","true","quick","get","branches",{"skillNo":187,"name":188,"nameZh":6,"description":189,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":190,"categories":191,"keywords":196,"publishedAt":38},"01M6G8HGEGF05CNEJCGVYFSC4R","agent-constitution","Interact with AgentConstitution governance contracts on Base Sepolia. Check compliance, read rules, log actions, query governance state.","https:\u002F\u002Fgithub.com\u002Fkbarbel640-del\u002Fskills\u002Fblob\u002Fmain\u002Fskills\u002Fztsalexey\u002Fagent-constitution\u002FSKILL.md",[192,193],{"categoryNo":118,"categoryName":119,"taxonomyType":120,"taxonomyTypeDesc":121},{"categoryNo":194,"categoryName":195,"taxonomyType":90,"taxonomyTypeDesc":91},"01JBSEEDCAT000000000000037","律师与法务",[197,198,199,200,23,201,202,43,203,157,204,32,205,206,207,108,208,209,210],"agent constitution","constitution","contracts","tree","query","base","log","check","projects","compliance","actions","state","governance","github"]