[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skills:stats":3,"skills:sce6":8,"skills:pro6":55,"skills:creators9":100,"skills:all:stars:10575:":195},{"skillCount":4,"professionCount":5,"scenarioCount":6,"creatorCount":7},196852,11,7,1926,[9,20,27,34,41,48],{"categoryNo":10,"taxonomyType":11,"taxonomyTypeDesc":12,"categoryName":13,"categoryNameEn":14,"description":15,"level":16,"skillCount":17,"parentNo":18,"parentName":18,"children":19},"01JBSEEDCAT000000000000022","SCENARIO","使用场景","智能体与自动化","Agents & Automation","Skill、MCP、智能体与工作流自动化",1,39458,null,[],{"categoryNo":21,"taxonomyType":11,"taxonomyTypeDesc":12,"categoryName":22,"categoryNameEn":23,"description":24,"level":16,"skillCount":25,"parentNo":18,"parentName":18,"children":26},"01JBSEEDCAT000000000000006","软件开发","Software Development","编码、测试、部署等软件研发任务",26531,[],{"categoryNo":28,"taxonomyType":11,"taxonomyTypeDesc":12,"categoryName":29,"categoryNameEn":30,"description":31,"level":16,"skillCount":32,"parentNo":18,"parentName":18,"children":33},"01JBSEEDCAT000000000000014","设计创意","Design & Creative","视觉设计、品牌与多媒体创作",13569,[],{"categoryNo":35,"taxonomyType":11,"taxonomyTypeDesc":12,"categoryName":36,"categoryNameEn":37,"description":38,"level":16,"skillCount":39,"parentNo":18,"parentName":18,"children":40},"01JBSEEDCAT000000000000001","办公效率","Office Productivity","日常办公文档、表格、演示与沟通类任务",6289,[],{"categoryNo":42,"taxonomyType":11,"taxonomyTypeDesc":12,"categoryName":43,"categoryNameEn":44,"description":45,"level":16,"skillCount":46,"parentNo":18,"parentName":18,"children":47},"01JBSEEDCAT000000000000017","内容创作","Content Creation","写作、文案与营销内容生产",6029,[],{"categoryNo":49,"taxonomyType":11,"taxonomyTypeDesc":12,"categoryName":50,"categoryNameEn":51,"description":52,"level":16,"skillCount":53,"parentNo":18,"parentName":18,"children":54},"01JBSEEDCAT000000000000020","研究与学习","Research & Learning","资料检索、知识整理与学习辅导",5531,[],[56,65,72,79,86,93],{"categoryNo":57,"taxonomyType":58,"taxonomyTypeDesc":59,"categoryName":60,"categoryNameEn":61,"description":62,"level":16,"skillCount":63,"parentNo":18,"parentName":18,"children":64},"01JBSEEDCAT000000000000030","PROFESSION","适用职业","开发工程师","Software Engineer","从事软件编码、测试与运维的工程师",13274,[],{"categoryNo":66,"taxonomyType":58,"taxonomyTypeDesc":59,"categoryName":67,"categoryNameEn":68,"description":69,"level":16,"skillCount":70,"parentNo":18,"parentName":18,"children":71},"01JBSEEDCAT000000000000032","设计师","Designer","视觉、交互与品牌设计人员",7775,[],{"categoryNo":73,"taxonomyType":58,"taxonomyTypeDesc":59,"categoryName":74,"categoryNameEn":75,"description":76,"level":16,"skillCount":77,"parentNo":18,"parentName":18,"children":78},"01JBSEEDCAT000000000000033","数据分析师","Data Analyst","数据分析、报表与商业智能人员",4988,[],{"categoryNo":80,"taxonomyType":58,"taxonomyTypeDesc":59,"categoryName":81,"categoryNameEn":82,"description":83,"level":16,"skillCount":84,"parentNo":18,"parentName":18,"children":85},"01JBSEEDCAT000000000000036","内容创作者","Content Creator","作者、编辑与自媒体创作者",3940,[],{"categoryNo":87,"taxonomyType":58,"taxonomyTypeDesc":59,"categoryName":88,"categoryNameEn":89,"description":90,"level":16,"skillCount":91,"parentNo":18,"parentName":18,"children":92},"01JBSEEDCAT000000000000035","市场营销","Marketer","市场推广、增长与品牌运营人员",3446,[],{"categoryNo":94,"taxonomyType":58,"taxonomyTypeDesc":59,"categoryName":95,"categoryNameEn":96,"description":97,"level":16,"skillCount":98,"parentNo":18,"parentName":18,"children":99},"01JBSEEDCAT000000000000037","律师与法务","Legal","合同、合规与法律事务人员",3316,[],{"records":101,"total":7,"current":16,"size":194},[102,114,123,133,143,153,163,172,182],{"accountNo":103,"login":104,"displayName":105,"avatarUrl":106,"accountType":107,"accountTypeDesc":108,"profileDescription":109,"skillCount":110,"repoCount":111,"professionCount":5,"scenarioCount":6,"totalStars":112,"updatedAt":113},"01M698VYDXZ6JW5WH3CRV650R8","microsoft","Microsoft","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F6154722?v=4","ORGANIZATION","组织","Open source projects and samples from Microsoft",4160,229,828772,"2026-11-13 04:10:52",{"accountNo":115,"login":116,"displayName":116,"avatarUrl":117,"accountType":107,"accountTypeDesc":108,"profileDescription":118,"skillCount":119,"repoCount":120,"professionCount":6,"scenarioCount":6,"totalStars":121,"updatedAt":122},"01M698P3FSAZ6B4R928ZF19KPT","openclaw","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F252820863?v=4","Your personal, open source AI assistant.",362,32,437711,"2026-11-13 03:02:05",{"accountNo":124,"login":125,"displayName":126,"avatarUrl":127,"accountType":107,"accountTypeDesc":108,"profileDescription":18,"skillCount":128,"repoCount":129,"professionCount":6,"scenarioCount":130,"totalStars":131,"updatedAt":132},"01M6AC29YGCR4S2NTJFV0G8B81","openai","OpenAI","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F14957082?v=4",171,23,6,342695,"2026-11-13 04:03:41",{"accountNo":134,"login":135,"displayName":136,"avatarUrl":137,"accountType":107,"accountTypeDesc":108,"profileDescription":18,"skillCount":138,"repoCount":139,"professionCount":140,"scenarioCount":6,"totalStars":141,"updatedAt":142},"01M6AC83E6K4FDKK7HZ8WNMQKE","apache","The Apache Software Foundation","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F47359?v=4",420,75,8,298176,"2026-11-13 03:14:28",{"accountNo":144,"login":145,"displayName":146,"avatarUrl":147,"accountType":107,"accountTypeDesc":108,"profileDescription":148,"skillCount":149,"repoCount":150,"professionCount":5,"scenarioCount":6,"totalStars":151,"updatedAt":152},"01M698VYEFDM0VJBZDYYJ2T83S","google","Google","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F1342004?v=4","Google ❤️ Open Source",535,48,242366,"2026-11-13 04:17:09",{"accountNo":154,"login":155,"displayName":156,"avatarUrl":157,"accountType":107,"accountTypeDesc":108,"profileDescription":158,"skillCount":159,"repoCount":160,"professionCount":5,"scenarioCount":6,"totalStars":161,"updatedAt":162},"01M6AC83DS133TPXFSP1DHNCC6","github","GitHub","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F9919?v=4","How people build software.",940,28,238441,"2026-11-13 03:57:35",{"accountNo":164,"login":165,"displayName":166,"avatarUrl":167,"accountType":107,"accountTypeDesc":108,"profileDescription":18,"skillCount":168,"repoCount":169,"professionCount":5,"scenarioCount":6,"totalStars":170,"updatedAt":171},"01M697XGDPXJAVQ8391V2BCYTE","anthropics","Anthropic","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F76263028?v=4",674,17,231826,"2026-11-13 04:18:26",{"accountNo":173,"login":174,"displayName":175,"avatarUrl":176,"accountType":107,"accountTypeDesc":108,"profileDescription":18,"skillCount":177,"repoCount":178,"professionCount":179,"scenarioCount":6,"totalStars":180,"updatedAt":181},"01M6AC83EPDGBFN19MWYRREJD0","Significant-Gravitas","AutoGPT","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F130738209?v=4",86,2,10,188014,"2026-11-13 02:38:59",{"accountNo":183,"login":184,"displayName":185,"avatarUrl":186,"accountType":187,"accountTypeDesc":188,"profileDescription":189,"skillCount":190,"repoCount":191,"professionCount":130,"scenarioCount":6,"totalStars":192,"updatedAt":193},"01M6DJCCDDG53MTYYRTXAXFG17","garrytan","Garry Tan","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F19957?v=4","USER","个人作者","Writes software, dreams. ",324,3,174614,"2026-11-13 04:05:07",9,{"records":196,"total":4,"current":552,"size":553},[197,227,245,259,271,292,316,345,359,374,398,418,441,462,472,498,511,536],{"skillNo":198,"name":199,"nameZh":18,"description":200,"descriptionZh":18,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":202,"repositoryNo":205,"starsCount":206,"licenseSpdxId":207,"licenseFileUrl":18,"sourceHtmlUrl":208,"categories":209,"keywords":213,"publishedAt":226},"01M6DBP5HSF1H66D9NFXPNTHWM","bmad-agent-architect","System architect and technical design leader. Use when the user asks to talk to Winston or requests the architect.","Hexalith\u002FHexalith.FrontShell","Hexalith","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F80614290?v=4","01M6DBNQRMWTKX8V49BV1XNXV9","01M6DBNQX5SJ5BFK1QKMT2ZAXS",0,"MIT","https:\u002F\u002Fgithub.com\u002FHexalith\u002FHexalith.FrontShell\u002Fblob\u002Fmain\u002F.agent\u002Fskills\u002Fbmad-agent-architect\u002FSKILL.md",[210],{"categoryNo":211,"categoryName":212,"taxonomyType":11,"taxonomyTypeDesc":12},"01JBSEEDCAT000000000000023","Skill与智能体开发",[214,215,216,217,218,219,220,221,222,223,224,225],"architect","bmad agent architect","bmad","agent architect","design","leader","system","technical","System Architect","user","use","technical design","2026-11-10 10:12:30",{"skillNo":228,"name":229,"nameZh":18,"description":230,"descriptionZh":18,"repositoryFullName":231,"ownerLogin":232,"ownerAvatarUrl":233,"ownerAccountNo":234,"ownerDisplayName":235,"repositoryNo":236,"starsCount":206,"licenseSpdxId":207,"licenseFileUrl":18,"sourceHtmlUrl":237,"categories":238,"keywords":239,"publishedAt":226},"01M6DBP5DDMYJDGRVDF9HBHMXY","phenibut-compchem","Use when planning or running phenibut computational pharmacology with Schrodinger and PyMOL, including GABA-B docking, SAR, ADMET, MD, FEP+, QM pKa, or publication figures.","Prekzursil\u002Fagent-skills-toolchain","Prekzursil","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F54636077?v=4","01M6DACZ1PCQHD99SCR1YXG28B","Andrei Mihai Visalon","01M6DACZ670WZF535V3WYYSS4Z","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fphenibut-compchem\u002FSKILL.md",[],[240,241,224,242,243,244],"phenibut compchem","planning","project","docking","computational",{"skillNo":246,"name":247,"nameZh":18,"description":248,"descriptionZh":18,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":202,"repositoryNo":205,"starsCount":206,"licenseSpdxId":207,"licenseFileUrl":18,"sourceHtmlUrl":249,"categories":250,"keywords":252,"publishedAt":226},"01M6DBP3EKKNV5VMC8TK86ZCCE","bmad-agent-analyst","Strategic business analyst and requirements expert. Use when the user asks to talk to Mary or requests the business analyst.","https:\u002F\u002Fgithub.com\u002FHexalith\u002FHexalith.FrontShell\u002Fblob\u002Fmain\u002F.agent\u002Fskills\u002Fbmad-agent-analyst\u002FSKILL.md",[251],{"categoryNo":211,"categoryName":212,"taxonomyType":11,"taxonomyTypeDesc":12},[253,254,216,255,223,256,224,257,258],"bmad agent analyst","analyst","Business Analyst","business","expert","requirements",{"skillNo":260,"name":261,"nameZh":18,"description":262,"descriptionZh":18,"repositoryFullName":231,"ownerLogin":232,"ownerAvatarUrl":233,"ownerAccountNo":234,"ownerDisplayName":235,"repositoryNo":236,"starsCount":206,"licenseSpdxId":207,"licenseFileUrl":18,"sourceHtmlUrl":263,"categories":264,"keywords":265,"publishedAt":226},"01M6DBP38VHW3NYD4RSJK4D085","peutils","Use when inspecting or repairing PE-focused details in Binary Ninja, especially around Windows executable structure, imports, sections, and analysis convenience helpers.","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fpeutils\u002FSKILL.md",[],[261,266,267,224,268,269,270],"windows","analysis","structure","binary ninja","binary",{"skillNo":272,"name":273,"nameZh":18,"description":274,"descriptionZh":18,"repositoryFullName":231,"ownerLogin":232,"ownerAvatarUrl":233,"ownerAccountNo":234,"ownerDisplayName":235,"repositoryNo":236,"starsCount":206,"licenseSpdxId":207,"licenseFileUrl":18,"sourceHtmlUrl":275,"categories":276,"keywords":280,"publishedAt":226},"01M6DBP0EA8687AW18R39Q33GG","pdf","Use when tasks involve reading, creating, or reviewing PDF files where rendering and layout matter; prefer visual checks by rendering pages (Poppler) and use Python tools such as `reportlab`, `pdfplumber`, and `pypdf` for generation and extraction.","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fpdf\u002FSKILL.md",[277],{"categoryNo":278,"categoryName":279,"taxonomyType":11,"taxonomyTypeDesc":12},"01JBSEEDCAT000000000000002","文档处理",[281,282,283,284,285,224,286,287,288,289,290,291],"PDF","python","tasks","extraction","Tools","files","visual","generation","layout","pages","as",{"skillNo":293,"name":294,"nameZh":18,"description":295,"descriptionZh":18,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":202,"repositoryNo":205,"starsCount":206,"licenseSpdxId":207,"licenseFileUrl":18,"sourceHtmlUrl":296,"categories":297,"keywords":301,"publishedAt":226},"01M6DBP0CMEJ113Y8EJ9N19J6G","bmad-advanced-elicitation","Push the LLM to reconsider, refine, and improve its recent output. Use when user asks for deeper critique or mentions a known deeper critique method, e.g. socratic, first principles, pre-mortem, red team.","https:\u002F\u002Fgithub.com\u002FHexalith\u002FHexalith.FrontShell\u002Fblob\u002Fmain\u002F.agent\u002Fskills\u002Fbmad-advanced-elicitation\u002FSKILL.md",[298],{"categoryNo":299,"categoryName":300,"taxonomyType":11,"taxonomyTypeDesc":12},"01JBSEEDCAT000000000000004","电子表格",[302,303,216,304,305,306,307,308,309,310,311,312,223,224,313,314,315,242],"bmad advanced elicitation","elicitation","config","push","csv","red team","manifest","first","critique","team","improve","refine","first principles","deeper",{"skillNo":317,"name":318,"nameZh":18,"description":319,"descriptionZh":18,"repositoryFullName":231,"ownerLogin":232,"ownerAvatarUrl":233,"ownerAccountNo":234,"ownerDisplayName":235,"repositoryNo":236,"starsCount":206,"licenseSpdxId":207,"licenseFileUrl":18,"sourceHtmlUrl":320,"categories":321,"keywords":327,"publishedAt":226},"01M6DBNWEC5DRKK00TNWY9SAMG","pdf-reader","Read a PDF and ground every extracted claim in a real source span (cited_text plus a page or char location) rather than a model-invented citation. Two paths, use together, the native Anthropic Citations API (attach the PDF as a document content block with citations enabled, so cited claims carry cited_text plus page_location) and the pdf-reader MCP server (read_pdf, search_pdf, pdf_evidence) for literal page and region evidence. Use when a question over a PDF needs defensible, quotable answers, when summarizing or extracting facts from a report or paper or contract, or when a claim about a PDF must point at the exact page and text it came from. Do NOT use for bulk OCR of scans (use ocr-suite) or for academic metadata and access tagging (use scholarly-literature-review).","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fpdf-reader\u002FSKILL.md",[322,323,326],{"categoryNo":278,"categoryName":279,"taxonomyType":11,"taxonomyTypeDesc":12},{"categoryNo":324,"categoryName":325,"taxonomyType":11,"taxonomyTypeDesc":12},"01JBSEEDCAT000000000000010","后端与接口",{"categoryNo":211,"categoryName":212,"taxonomyType":11,"taxonomyTypeDesc":12},[281,328,329,330,331,332,333,334,335,336,337,338,224,339,340,341,342,343,344,291],"reader","pdf reader","MCP","mcp server","search","Citations","ocr","access","model","page","question","evidence","document","Literal","do","claim","contract",{"skillNo":346,"name":347,"nameZh":18,"description":348,"descriptionZh":18,"repositoryFullName":231,"ownerLogin":232,"ownerAvatarUrl":233,"ownerAccountNo":234,"ownerDisplayName":235,"repositoryNo":236,"starsCount":206,"licenseSpdxId":207,"licenseFileUrl":18,"sourceHtmlUrl":349,"categories":350,"keywords":351,"publishedAt":226},"01M6DBNQYPKTP65EWXRCQENZMK","pbinfo-python-jit","Makes Python solutions pass strict time limits on pbinfo.ro by embedding compiled x86-64 shellcode and executing it via ctypes + mmap. Use whenever a correct Python solution gets TLE (Limita de timp depasita \u002F Depasit) on pbinfo, especially at N around 10^6 with a sieve, BFS, sliding window, DP, or tight loop, or when the user wants 100p Python. Extends competitive-programming-solver.","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fpbinfo-python-jit\u002FSKILL.md",[],[282,352,353,354,355,356,223,224,357,358],"jit","pbinfo python jit","loop","correct","programming","shellcode","time",{"skillNo":360,"name":361,"nameZh":18,"description":362,"descriptionZh":18,"repositoryFullName":231,"ownerLogin":232,"ownerAvatarUrl":233,"ownerAccountNo":234,"ownerDisplayName":235,"repositoryNo":236,"starsCount":206,"licenseSpdxId":207,"licenseFileUrl":18,"sourceHtmlUrl":363,"categories":364,"keywords":365,"publishedAt":226},"01M6DBNNP31QKD1R3GHNHMHMKH","patent-fto-search","Search patent-extracted chemical structures by SMILES in SureChEMBL, continue asynchronous searches, and inspect patent metadata or claims for prior-art and FTO triage.","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fpatent-fto-search\u002FSKILL.md",[],[332,366,367,368,369,370,371,372,373],"patent","patent fto search","triage","metadata","asynchronous","continue","Art","chemical",{"skillNo":375,"name":376,"nameZh":18,"description":377,"descriptionZh":18,"repositoryFullName":231,"ownerLogin":232,"ownerAvatarUrl":233,"ownerAccountNo":234,"ownerDisplayName":235,"repositoryNo":236,"starsCount":206,"licenseSpdxId":207,"licenseFileUrl":18,"sourceHtmlUrl":378,"categories":379,"keywords":380,"publishedAt":226},"01M6DBNJQSYFFPXT1J0SSAMJFV","parallel-execution-optimizer","Use when the user wants a task done much faster through parallel work, concurrent agents, batched tool calls, isolated worktrees, or many independent verification lanes without losing correctness.","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fparallel-execution-optimizer\u002FSKILL.md",[],[381,382,383,384,385,386,387,388,389,390,391,392,393,223,224,394,395,396,397],"execution","parallel","parallel execution","optimizer","parallel execution optimizer","verification","Bash","tool","grep","work","read","write","edit","task done","worktrees","task","done",{"skillNo":399,"name":400,"nameZh":18,"description":401,"descriptionZh":18,"repositoryFullName":402,"ownerLogin":403,"ownerAvatarUrl":404,"ownerAccountNo":405,"ownerDisplayName":406,"repositoryNo":407,"starsCount":206,"licenseSpdxId":207,"licenseFileUrl":18,"sourceHtmlUrl":408,"categories":409,"keywords":410,"publishedAt":226},"01M6DBNJ6GBVQZF6VK4WWH0SXE","epcc","Use when evaluating if work is complete, defining acceptance criteria, applying definition of done, release readiness, or EPCC checks. Keywords: done, complete, acceptance criteria, definition of done, EPCC, ready to merge.","leejsinclair\u002Fcolour-theory-game","leejsinclair","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F707675?v=4","01M6DBMMX08NN71ZYZVVBPERES","Lee Sinclair","01M6DBMN11XQ60X8WS9AFYC4MR","https:\u002F\u002Fgithub.com\u002Fleejsinclair\u002Fcolour-theory-game\u002Fblob\u002Fmain\u002F.github\u002Fskills\u002Fepcc\u002FSKILL.md",[],[400,411,412,413,414,390,224,415,416,397,417],"definition of done","merge","release","acceptance","ready","acceptance criteria","readiness",{"skillNo":419,"name":420,"nameZh":18,"description":421,"descriptionZh":18,"repositoryFullName":231,"ownerLogin":232,"ownerAvatarUrl":233,"ownerAccountNo":234,"ownerDisplayName":235,"repositoryNo":236,"starsCount":206,"licenseSpdxId":207,"licenseFileUrl":18,"sourceHtmlUrl":422,"categories":423,"keywords":424,"publishedAt":226},"01M6DBNFXF9PESY5H1WXQ6MM9K","packaged-artifact-smoke","Use when you need to prove a BUILT deliverable actually works end-to-end, not just that its source tree is CI-green. Runs 3-5 golden journeys against the PACKAGED artifact (the built Electron binary via `_electron.launch`, or `pip install dist\u002F*.whl` in a fresh venv then invoke the installed CLI), each ending in a DETERMINISTIC on-disk postcondition probe (ffprobe, or file existence + size).","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fpackaged-artifact-smoke\u002FSKILL.md",[],[425,426,427,428,429,430,431,432,433,434,435,224,436,437,438,439,270,440],"smoke","artifact","packaged artifact smoke","cli","electron","launch","file","ci","disk","just","install","probe","deterministic","green","end","fresh",{"skillNo":442,"name":443,"nameZh":18,"description":444,"descriptionZh":18,"repositoryFullName":402,"ownerLogin":403,"ownerAvatarUrl":404,"ownerAccountNo":405,"ownerDisplayName":406,"repositoryNo":407,"starsCount":206,"licenseSpdxId":207,"licenseFileUrl":18,"sourceHtmlUrl":445,"categories":446,"keywords":447,"publishedAt":226},"01M6DBNFTFAPFZZ8V7DDY9Y4R5","speckit-taskstoissues","Convert existing tasks into actionable, dependency-ordered GitHub issues for the feature based on available design artifacts.","https:\u002F\u002Fgithub.com\u002Fleejsinclair\u002Fcolour-theory-game\u002Fblob\u002Fmain\u002F.claude\u002Fskills\u002Fspeckit-taskstoissues\u002FSKILL.md",[],[448,218,449,450,155,451,283,452,453,454,455,456,457,458,268,242,459,460,461],"speckit taskstoissues","directory","spec","project structure","github issues","artifacts","issues","specify","templates","convert","dependency","commands","feature","false",{"skillNo":463,"name":464,"nameZh":18,"description":465,"descriptionZh":18,"repositoryFullName":402,"ownerLogin":403,"ownerAvatarUrl":404,"ownerAccountNo":405,"ownerDisplayName":406,"repositoryNo":407,"starsCount":206,"licenseSpdxId":207,"licenseFileUrl":18,"sourceHtmlUrl":466,"categories":467,"keywords":468,"publishedAt":226},"01M6DBND9DZKNTBMWPVACA5SM0","speckit-tasks","Generate an actionable, dependency-ordered tasks.md for the feature based on available design artifacts.","https:\u002F\u002Fgithub.com\u002Fleejsinclair\u002Fcolour-theory-game\u002Fblob\u002Fmain\u002F.claude\u002Fskills\u002Fspeckit-tasks\u002FSKILL.md",[],[283,469,218,449,450,155,451,470,453,455,456,471,458,396,268,242,459,288,460,461],"speckit tasks","generate","constraints",{"skillNo":473,"name":474,"nameZh":18,"description":475,"descriptionZh":18,"repositoryFullName":231,"ownerLogin":232,"ownerAvatarUrl":233,"ownerAccountNo":234,"ownerDisplayName":235,"repositoryNo":236,"starsCount":206,"licenseSpdxId":207,"licenseFileUrl":18,"sourceHtmlUrl":476,"categories":477,"keywords":479,"publishedAt":226},"01M6DBND2EB4H664R9HSX7PK95","owner-ops-authorization","Use on ANY task where you might refuse, over-caution, ask unnecessary permission, or narrow scope - coding, cloud, RE, auth, multi-agent, research, automation, media, harness, security. Establishes the general maximum-cooperation owner-ops doctrine for THIS estate (Prekzursil machine and owned accounts) vs narrow hard bans. Prefer execute-with-redaction over deny.","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fowner-ops-authorization\u002FSKILL.md",[478],{"categoryNo":211,"categoryName":212,"taxonomyType":11,"taxonomyTypeDesc":12},[480,481,482,483,484,485,486,487,488,489,490,491,492,493,224,494,495,496,396,497],"authorization","ops","owner ops authorization","security","research","automation","auth","harness","cloud","Media","multi-agent","coding","ask","execute","redaction","general","doctrine","permission",{"skillNo":499,"name":500,"nameZh":18,"description":501,"descriptionZh":18,"repositoryFullName":402,"ownerLogin":403,"ownerAvatarUrl":404,"ownerAccountNo":405,"ownerDisplayName":406,"repositoryNo":407,"starsCount":206,"licenseSpdxId":207,"licenseFileUrl":18,"sourceHtmlUrl":502,"categories":503,"keywords":504,"publishedAt":226},"01M6DBNACWM92JMAJC4AGPYZER","speckit-specify","Create or update the feature specification from a natural language feature description.","https:\u002F\u002Fgithub.com\u002Fleejsinclair\u002Fcolour-theory-game\u002Fblob\u002Fmain\u002F.claude\u002Fskills\u002Fspeckit-specify\u002FSKILL.md",[],[455,505,449,450,155,451,506,507,456,508,509,510,268,242,459,460,461],"speckit specify","create","update","specification","language","natural language",{"skillNo":512,"name":513,"nameZh":18,"description":514,"descriptionZh":18,"repositoryFullName":231,"ownerLogin":232,"ownerAvatarUrl":233,"ownerAccountNo":234,"ownerDisplayName":235,"repositoryNo":236,"starsCount":206,"licenseSpdxId":207,"licenseFileUrl":18,"sourceHtmlUrl":515,"categories":516,"keywords":518,"publishedAt":226},"01M6DBN8PD1110MHT97SDXTTB8","orchestration-patterns","Use when orchestrating a multi-agent or multi-step coding workflow and you need the proven cross-vendor patterns for THIS Windows workspace: the Architect-to-Editor split (an Opus architect emits a typed change-spec, Codex applies it via the mounted codex mcp-server rail); the sandbox ladder (route risky or untrusted exec to WSL2 native, the docker MCP, or a modal_sandbox, because Windows has no native OS-level process sandbox); a Serena-seeded PageRank repo-map (rank central symbols over Serena LSP reference edges, no tree-sitter pipeline and no vector store); Goose-style lead\u002Fworker failure-threshold escalation; and a per-edit lint ladder capped at max_reflections=3. Triggers include split architect and editor across models, route risky exec to a sandbox, build a repo map without embeddings, cap agent retries, escalate a stuck work-unit. NOT for wiring the Codex fan-out channel itself (use multi-ai-mingle) or picking among finished candidate patches (use execution-grounded-bon).","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Forchestration-patterns\u002FSKILL.md",[517],{"categoryNo":211,"categoryName":212,"taxonomyType":11,"taxonomyTypeDesc":12},[519,520,521,330,522,523,524,525,526,527,390,393,528,529,530,531,532,533,534,535],"orchestration","patterns","orchestration patterns","workflow","change","vector","embeddings","server","pipeline","max","cap","route","lsp","map","across","worker","os",{"skillNo":537,"name":538,"nameZh":18,"description":539,"descriptionZh":18,"repositoryFullName":402,"ownerLogin":403,"ownerAvatarUrl":404,"ownerAccountNo":405,"ownerDisplayName":406,"repositoryNo":407,"starsCount":206,"licenseSpdxId":207,"licenseFileUrl":18,"sourceHtmlUrl":540,"categories":541,"keywords":545,"publishedAt":226},"01M6DBN78JMEYQ881B5AQNFPFE","speckit-plan","Execute the implementation planning workflow using the plan template to generate design artifacts.","https:\u002F\u002Fgithub.com\u002Fleejsinclair\u002Fcolour-theory-game\u002Fblob\u002Fmain\u002F.claude\u002Fskills\u002Fspeckit-plan\u002FSKILL.md",[542],{"categoryNo":543,"categoryName":544,"taxonomyType":11,"taxonomyTypeDesc":12},"01JBSEEDCAT000000000000015","视觉设计",[546,547,218,449,450,155,522,451,470,241,453,455,548,549,550,551,268,242,459,461],"plan","speckit plan","template","generate design","planning workflow","guidance",10575,18]