[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6FHY7CQT2ESEPEFC0VFTVG5":3,"skill-same:01M6FHY7CQT2ESEPEFC0VFTVG5":69},{"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":37,"linkOnly":38,"markdownContent":39,"markdownBody":40,"frontMatter":41,"refName":42,"commitSha":43,"skillDirectory":44,"forksCount":45,"repositoryHtmlUrl":46,"repositoryHomepageUrl":6,"ownerHtmlUrl":47,"ownerBlogUrl":6,"ownerDescription":6,"updatedAt":48,"install":49,"resources":62},"01M6FHY7CQT2ESEPEFC0VFTVG5","remarkable",null,"Fetch handwritten notes, sketches, and drawings from a reMarkable tablet via Cloud API (rmapi). Process content by refining artwork with AI image generation, extracting handwritten text to memory\u002Fjournal, or using sketches as input for other workflows. Use when working with reMarkable tablet content, syncing handwritten notes, processing sketches, or integrating tablet drawings into projects.","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\u002Fcoolmanns\u002Fremarkable-tablet\u002FSKILL.md",[],[5,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36],"use","extracting","with","ai image generation","processing","via","as","journal","generation","image","process","fetch","text","projects","api","Image Generation","notes","workflows","memory","2026-11-10 10:12:30",false,"---\nname: remarkable\ndescription: Fetch handwritten notes, sketches, and drawings from a reMarkable tablet via Cloud API (rmapi). Process content by refining artwork with AI image generation, extracting handwritten text to memory\u002Fjournal, or using sketches as input for other workflows. Use when working with reMarkable tablet content, syncing handwritten notes, processing sketches, or integrating tablet drawings into projects.\n---\n\n# reMarkable Tablet Integration (rmapi)\n\nFetch handwritten notes, sketches, and drawings from a reMarkable tablet via Cloud API. Process them — refine artwork with AI image generation, extract text to memory\u002Fjournal, or use as input for other workflows.\n\n## Typical Use Cases\n\n1. **Journal entries** — User writes thoughts on reMarkable → fetch → OCR\u002Finterpret → append to `memory\u002FYYYY-MM-DD.md` or a dedicated journal file\n2. **Sketch refinement** — User draws a rough graphic → fetch → enhance with nano-banana-pro (AI image editing) → return polished version\n3. **Brainstorming\u002Fnotes** — User jots down ideas, lists, diagrams → fetch → extract structure → add to project docs or memory\n4. **Illustrations** — User creates hand-drawn art → fetch → optionally stylize → use in blog posts, social media, etc.\n\n## Processing Pipeline\n\n```\nreMarkable tablet → Cloud sync → rmapi fetch → PDF\u002FPNG\n                                                  ↓\n                                    ┌─────────────┴─────────────┐\n                                    │                           │\n                              Text content?               Visual\u002Fsketch?\n                                    │                           │\n                              OCR \u002F interpret            nano-banana-pro\n                                    │                     (AI enhance)\n                                    │                           │\n                              Add to memory\u002F            Return refined\n                              journal\u002Fproject            image to user\n```\n\n## Setup\n\n- **Tool:** rmapi (ddvk fork) v0.0.32\n- **Binary:** `~\u002Fbin\u002Frmapi`\n- **Config:** `~\u002F.rmapi` (device token after auth)\n- **Sync folder:** `~\u002Fclawd\u002Fremarkable-sync\u002F`\n\n### Authentication (ONE-TIME)\n1. User goes to https:\u002F\u002Fmy.remarkable.com\u002Fconnect\u002Fdesktop\n2. Logs in, gets 8-character code\n3. Run `rmapi` and enter the code\n4. Token saved to `~\u002F.rmapi` — future runs are automatic\n\n## Commands\n\n```bash\n# List files\u002Ffolders\nrmapi ls\nrmapi ls --json\n\n# Navigate\nrmapi cd \"folder name\"\n\n# Find by tag \u002F starred \u002F regex\nrmapi find --tag=\"share-with-gandalf\" \u002F\nrmapi find --starred \u002F\nrmapi find \u002F \".*sketch.*\"\n\n# Download (PDF)\nrmapi get \"filename\"\n\n# Download with annotations rendered (best for sketches)\nrmapi geta \"filename\"\n\n# Bulk download folder\nrmapi mget -o ~\u002Fclawd\u002Fremarkable-sync\u002F \"\u002FShared with Gandalf\"\n```\n\n## Sharing Workflows\n\n### Option A: Dedicated Folder\nUser creates \"Shared with Gandalf\" folder on reMarkable → moves items there → agent fetches with `rmapi mget`\n\n### Option B: Tag-Based\nUser tags documents with `share-with-gandalf` → agent discovers with `rmapi find --tag`\n\n### Option C: Starred Items\nUser stars items → agent fetches with `rmapi find --starred`\n\n## Fetch Script\n\n```bash\n# Fetch from shared folder\n~\u002Fclawd\u002Fscripts\u002Fremarkable-fetch.sh\n\n# Fetch starred items\n~\u002Fclawd\u002Fscripts\u002Fremarkable-fetch.sh --starred\n\n# Fetch by tag\n~\u002Fclawd\u002Fscripts\u002Fremarkable-fetch.sh --tag=\"share-with-gandalf\"\n```\n\n## Notes\n- Tablet must cloud-sync before files are available\n- `geta` renders annotations into PDF (preferred for handwritten content)\n- Use `convert` (ImageMagick) to go from PDF → PNG for image processing\n- For text extraction, interpret the handwriting visually (vision model) rather than traditional OCR\n","# reMarkable Tablet Integration (rmapi)\n\nFetch handwritten notes, sketches, and drawings from a reMarkable tablet via Cloud API. Process them — refine artwork with AI image generation, extract text to memory\u002Fjournal, or use as input for other workflows.\n\n## Typical Use Cases\n\n1. **Journal entries** — User writes thoughts on reMarkable → fetch → OCR\u002Finterpret → append to `memory\u002FYYYY-MM-DD.md` or a dedicated journal file\n2. **Sketch refinement** — User draws a rough graphic → fetch → enhance with nano-banana-pro (AI image editing) → return polished version\n3. **Brainstorming\u002Fnotes** — User jots down ideas, lists, diagrams → fetch → extract structure → add to project docs or memory\n4. **Illustrations** — User creates hand-drawn art → fetch → optionally stylize → use in blog posts, social media, etc.\n\n## Processing Pipeline\n\n```\nreMarkable tablet → Cloud sync → rmapi fetch → PDF\u002FPNG\n                                                  ↓\n                                    ┌─────────────┴─────────────┐\n                                    │                           │\n                              Text content?               Visual\u002Fsketch?\n                                    │                           │\n                              OCR \u002F interpret            nano-banana-pro\n                                    │                     (AI enhance)\n                                    │                           │\n                              Add to memory\u002F            Return refined\n                              journal\u002Fproject            image to user\n```\n\n## Setup\n\n- **Tool:** rmapi (ddvk fork) v0.0.32\n- **Binary:** `~\u002Fbin\u002Frmapi`\n- **Config:** `~\u002F.rmapi` (device token after auth)\n- **Sync folder:** `~\u002Fclawd\u002Fremarkable-sync\u002F`\n\n### Authentication (ONE-TIME)\n1. User goes to https:\u002F\u002Fmy.remarkable.com\u002Fconnect\u002Fdesktop\n2. Logs in, gets 8-character code\n3. Run `rmapi` and enter the code\n4. Token saved to `~\u002F.rmapi` — future runs are automatic\n\n## Commands\n\n```bash\n# List files\u002Ffolders\nrmapi ls\nrmapi ls --json\n\n# Navigate\nrmapi cd \"folder name\"\n\n# Find by tag \u002F starred \u002F regex\nrmapi find --tag=\"share-with-gandalf\" \u002F\nrmapi find --starred \u002F\nrmapi find \u002F \".*sketch.*\"\n\n# Download (PDF)\nrmapi get \"filename\"\n\n# Download with annotations rendered (best for sketches)\nrmapi geta \"filename\"\n\n# Bulk download folder\nrmapi mget -o ~\u002Fclawd\u002Fremarkable-sync\u002F \"\u002FShared with Gandalf\"\n```\n\n## Sharing Workflows\n\n### Option A: Dedicated Folder\nUser creates \"Shared with Gandalf\" folder on reMarkable → moves items there → agent fetches with `rmapi mget`\n\n### Option B: Tag-Based\nUser tags documents with `share-with-gandalf` → agent discovers with `rmapi find --tag`\n\n### Option C: Starred Items\nUser stars items → agent fetches with `rmapi find --starred`\n\n## Fetch Script\n\n```bash\n# Fetch from shared folder\n~\u002Fclawd\u002Fscripts\u002Fremarkable-fetch.sh\n\n# Fetch starred items\n~\u002Fclawd\u002Fscripts\u002Fremarkable-fetch.sh --starred\n\n# Fetch by tag\n~\u002Fclawd\u002Fscripts\u002Fremarkable-fetch.sh --tag=\"share-with-gandalf\"\n```\n\n## Notes\n- Tablet must cloud-sync before files are available\n- `geta` renders annotations into PDF (preferred for handwritten content)\n- Use `convert` (ImageMagick) to go from PDF → PNG for image processing\n- For text extraction, interpret the handwriting visually (vision model) rather than traditional OCR\n",{"name":5,"description":7},"main","e7e336ac628c3e3bd771aff1aaa469c93778f94a","skills\u002Fcoolmanns\u002Fremarkable-tablet",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":50,"prompt":60,"zipAvailable":61},[51,54,57],{"tool":52,"command":53},"npx","npx skills add kbarbel640-del\u002Fskills --skill remarkable",{"tool":55,"command":56},"bunx","bunx skills add kbarbel640-del\u002Fskills --skill remarkable",{"tool":58,"command":59},"pnpm","pnpm dlx skills add kbarbel640-del\u002Fskills --skill remarkable","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Fkbarbel640-del\u002Fskills\u002Fblob\u002Fmain\u002Fskills\u002Fcoolmanns\u002Fremarkable-tablet\u002FSKILL.md",true,[63],{"path":64,"resourceType":65,"resourceTypeDesc":66,"sizeBytes":67,"sourceHtmlUrl":68},"_meta.json","REFERENCE","参考文档",282,"https:\u002F\u002Fgithub.com\u002Fkbarbel640-del\u002Fskills\u002Fblob\u002Fmain\u002Fskills\u002Fcoolmanns\u002Fremarkable-tablet\u002F_meta.json",[70,98,126,145,151,171],{"skillNo":71,"name":72,"nameZh":6,"description":73,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":74,"categories":75,"keywords":81,"publishedAt":37},"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",[76],{"categoryNo":77,"categoryName":78,"taxonomyType":79,"taxonomyTypeDesc":80},"01JBSEEDCAT000000000000036","内容创作者","PROFESSION","适用职业",[82,83,32,20,84,85,86,87,88,89,30,90,91,92,93,94,95,96,97],"crowd prompting","prompting","tokens","domain","world","prompts","operations","instructions","tool","system","improve","productivity","marketplace","https","content","ai agents",{"skillNo":99,"name":100,"nameZh":6,"description":101,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":102,"categories":103,"keywords":109,"publishedAt":37},"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",[104],{"categoryNo":105,"categoryName":106,"taxonomyType":107,"taxonomyTypeDesc":108},"01JBSEEDCAT000000000000023","Skill与智能体开发","SCENARIO","使用场景",[110,32,111,112,113,114,115,116,117,118,119,120,121,122,123,124,125,87,18],"dilemm ai","arena","analyze","browser","openclaw agent","create","automation","browser automation","bot","openclaw","design","strategy","headless","compete","submit","matchmaking",{"skillNo":127,"name":128,"nameZh":6,"description":129,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":130,"categories":131,"keywords":135,"publishedAt":37},"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",[132],{"categoryNo":133,"categoryName":134,"taxonomyType":107,"taxonomyTypeDesc":108},"01JBSEEDCAT000000000000021","资料检索与研究",[136,137,138,139,140,141,142,20,29,124,18,143,32,144,23],"arxiv paper reviews","reviews","arxiv","paper","crawler","papers","comments","read","http",{"skillNo":146,"name":128,"nameZh":6,"description":129,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":147,"categories":148,"keywords":150,"publishedAt":37},"01M6G8HQJ7N7WMY6YV7D7SSJ16","https:\u002F\u002Fgithub.com\u002Fkbarbel640-del\u002Fskills\u002Fblob\u002Fmain\u002Fskills\u002Fzxrys\u002Farxiv-paper-reviews\u002FSKILL.md",[149],{"categoryNo":133,"categoryName":134,"taxonomyType":107,"taxonomyTypeDesc":108},[139,138,137,136,23,141,142,20,140,124,18,29,143,32,144],{"skillNo":152,"name":153,"nameZh":6,"description":154,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":155,"categories":156,"keywords":157,"publishedAt":37},"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",[],[158,159,160,161,162,163,164,165,166,167,168,169,170],"git","summary","git summary","commits","repository","win32","status","linux","contributors","true","quick","get","branches",{"skillNo":172,"name":173,"nameZh":6,"description":174,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":175,"categories":176,"keywords":181,"publishedAt":37},"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",[177,178],{"categoryNo":105,"categoryName":106,"taxonomyType":107,"taxonomyTypeDesc":108},{"categoryNo":179,"categoryName":180,"taxonomyType":79,"taxonomyTypeDesc":80},"01JBSEEDCAT000000000000037","律师与法务",[182,183,184,185,20,186,187,42,188,143,189,190,31,191,192,95,193,194,195],"agent constitution","constitution","contracts","tree","query","base","log","check","Rules","compliance","actions","state","governance","github"]