[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6DD6XSPBBP67J80XTPBTPJ2":3,"skill-same:01M6DD6XSPBBP67J80XTPBTPJ2":95},{"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":23,"publishedAt":44,"linkOnly":45,"markdownContent":46,"markdownBody":47,"frontMatter":48,"refName":49,"commitSha":50,"skillDirectory":51,"forksCount":14,"repositoryHtmlUrl":52,"repositoryHomepageUrl":6,"ownerHtmlUrl":53,"ownerBlogUrl":6,"ownerDescription":6,"updatedAt":54,"install":55,"resources":68},"01M6DD6XSPBBP67J80XTPBTPJ2","workflow-monitor",null,"Use when you want to LIVE-monitor a Claude Code Workflow (\"ultracode\") fan-out — watch every parallel agent's status, lens\u002Ftask, model, tokens, tool activity, and final result across the WHOLE FLEET (all sessions\u002Fprojects) in a read-only terminal cockpit, instead of the sparse native \u002Fworkflows view or opening a terminal-tail per agent. Also for triaging errored\u002Fretrying\u002Fstalled agents mid-run, or reviewing a finished run's per-agent prompt\u002Foutput.","Prekzursil\u002Fagent-skills-toolchain","Prekzursil","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F54636077?v=4","01M6DACZ1PCQHD99SCR1YXG28B","Andrei Mihai Visalon","01M6DACZ670WZF535V3WYYSS4Z",0,"MIT","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002Fplatform\u002Frouting\u002Ffixtures\u002Fhome\u002F.agents\u002Fskills\u002Fworkflow-monitor\u002FSKILL.md",[18],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000023","Skill与智能体开发","SCENARIO","使用场景",[24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43],"workflow","workflow monitor","monitor","prompt","terminal","tokens","across","task","only","use","view","read","sessions","parallel","model","tool","projects","code","run","workflows","2026-11-10 10:12:30",false,"---\nname: workflow-monitor\ndescription: Use when you want to LIVE-monitor a Claude Code Workflow (\"ultracode\") fan-out — watch every parallel agent's status, lens\u002Ftask, model, tokens, tool activity, and final result across the WHOLE FLEET (all sessions\u002Fprojects) in a read-only terminal cockpit, instead of the sparse native \u002Fworkflows view or opening a terminal-tail per agent. Also for triaging errored\u002Fretrying\u002Fstalled agents mid-run, or reviewing a finished run's per-agent prompt\u002Foutput.\n---\n\n# workflow-monitor\n\n## Overview\nA live, **read-only**, Windows-native **Textual cockpit** for Claude Code Workflow (ultracode) runs. It surfaces the one signal the native `\u002Fworkflows` view and the old per-agent tailers under-use: the live-flushed telemetry **manifest** `~\u002F.claude\u002Fprojects\u002F\u003Cproj>\u002F\u003Csess>\u002Fworkflows\u002Fwf_\u003Cid>.json` (re-written ~0s after every agent progress event), which already carries per-agent `label` (the human lens name), phase, model, state, tokens, tool activity, and prompt\u002Fresult previews — for the whole fan-out, across every session\u002Fproject.\n\n## Run it\n```bash\npip install textual rich          # one-time (textual is the only non-stdlib dep)\npython workflow_monitor.py        # the interactive whole-fleet cockpit\npython workflow_run.py            # a plain-text one-shot fleet board (no TUI) — quick check \u002F CI-friendly\n```\nCockpit: left = filter + status chips + a **run → phase → agent** tree (glyph · lens · model · tokens · last-tool; `↻` retry, `STALL Ns` when idle); right = the selected agent's **Task** (its prompt), a live **Feed** (transcript tail), and **Result** (headline + clean output). Keys: `q` quit · `f` live-follow · `r` refresh. It **never writes** any `.claude` file and polls O(changed) so it stays snappy across hundreds of runs.\n\n## How it works\n`workflow_run.py` is the shared, dependency-light parser (manifest + journal + transcripts + `FleetPoller` O(changed) polling); the recall-workflow-agent skill shares this same core. Output\u002Fstatus come from the authoritative journal `result` \u002F `started` events, not mtime guessing.\n\n### Export a run (`e` \u002F `wfmon export`)\n### Caveat (important)\n","# workflow-monitor\n\n## Overview\nA live, **read-only**, Windows-native **Textual cockpit** for Claude Code Workflow (ultracode) runs. It surfaces the one signal the native `\u002Fworkflows` view and the old per-agent tailers under-use: the live-flushed telemetry **manifest** `~\u002F.claude\u002Fprojects\u002F\u003Cproj>\u002F\u003Csess>\u002Fworkflows\u002Fwf_\u003Cid>.json` (re-written ~0s after every agent progress event), which already carries per-agent `label` (the human lens name), phase, model, state, tokens, tool activity, and prompt\u002Fresult previews — for the whole fan-out, across every session\u002Fproject.\n\n## Run it\n```bash\npip install textual rich          # one-time (textual is the only non-stdlib dep)\npython workflow_monitor.py        # the interactive whole-fleet cockpit\npython workflow_run.py            # a plain-text one-shot fleet board (no TUI) — quick check \u002F CI-friendly\n```\nCockpit: left = filter + status chips + a **run → phase → agent** tree (glyph · lens · model · tokens · last-tool; `↻` retry, `STALL Ns` when idle); right = the selected agent's **Task** (its prompt), a live **Feed** (transcript tail), and **Result** (headline + clean output). Keys: `q` quit · `f` live-follow · `r` refresh. It **never writes** any `.claude` file and polls O(changed) so it stays snappy across hundreds of runs.\n\n## How it works\n`workflow_run.py` is the shared, dependency-light parser (manifest + journal + transcripts + `FleetPoller` O(changed) polling); the recall-workflow-agent skill shares this same core. Output\u002Fstatus come from the authoritative journal `result` \u002F `started` events, not mtime guessing.\n\n### Export a run (`e` \u002F `wfmon export`)\n### Caveat (important)\n",{"name":5,"description":7},"main","a298c929b6cbd662e1fce54302ce520d5ceea1a5","platform\u002Frouting\u002Ffixtures\u002Fhome\u002F.agents\u002Fskills\u002Fworkflow-monitor","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain","https:\u002F\u002Fgithub.com\u002FPrekzursil","2026-11-02 14:30:57",{"source":8,"skillName":5,"commands":56,"prompt":66,"zipAvailable":67},[57,60,63],{"tool":58,"command":59},"npx","npx skills add Prekzursil\u002Fagent-skills-toolchain --skill workflow-monitor",{"tool":61,"command":62},"bunx","bunx skills add Prekzursil\u002Fagent-skills-toolchain --skill workflow-monitor",{"tool":64,"command":65},"pnpm","pnpm dlx skills add Prekzursil\u002Fagent-skills-toolchain --skill workflow-monitor","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002Fplatform\u002Frouting\u002Ffixtures\u002Fhome\u002F.agents\u002Fskills\u002Fworkflow-monitor\u002FSKILL.md",true,[69,75,79,83,87,91],{"path":70,"resourceType":71,"resourceTypeDesc":72,"sizeBytes":73,"sourceHtmlUrl":74},"steps\u002Fstep-01-validate-prerequisites.md","REFERENCE","参考文档",10048,"https:\u002F\u002Fgithub.com\u002Fgambheera\u002Fstudy-board\u002Fblob\u002Fmain\u002F.claude\u002Fskills\u002Fbmad-create-epics-and-stories\u002Fsteps\u002Fstep-01-validate-prerequisites.md",{"path":76,"resourceType":71,"resourceTypeDesc":72,"sizeBytes":77,"sourceHtmlUrl":78},"steps\u002Fstep-02-design-epics.md",7238,"https:\u002F\u002Fgithub.com\u002Fgambheera\u002Fstudy-board\u002Fblob\u002Fmain\u002F.claude\u002Fskills\u002Fbmad-create-epics-and-stories\u002Fsteps\u002Fstep-02-design-epics.md",{"path":80,"resourceType":71,"resourceTypeDesc":72,"sizeBytes":81,"sourceHtmlUrl":82},"steps\u002Fstep-03-create-stories.md",8351,"https:\u002F\u002Fgithub.com\u002Fgambheera\u002Fstudy-board\u002Fblob\u002Fmain\u002F.claude\u002Fskills\u002Fbmad-create-epics-and-stories\u002Fsteps\u002Fstep-03-create-stories.md",{"path":84,"resourceType":71,"resourceTypeDesc":72,"sizeBytes":85,"sourceHtmlUrl":86},"steps\u002Fstep-04-final-validation.md",4477,"https:\u002F\u002Fgithub.com\u002Fgambheera\u002Fstudy-board\u002Fblob\u002Fmain\u002F.claude\u002Fskills\u002Fbmad-create-epics-and-stories\u002Fsteps\u002Fstep-04-final-validation.md",{"path":88,"resourceType":71,"resourceTypeDesc":72,"sizeBytes":89,"sourceHtmlUrl":90},"templates\u002Fepics-template.md",1105,"https:\u002F\u002Fgithub.com\u002Fgambheera\u002Fstudy-board\u002Fblob\u002Fmain\u002F.claude\u002Fskills\u002Fbmad-create-epics-and-stories\u002Ftemplates\u002Fepics-template.md",{"path":92,"resourceType":71,"resourceTypeDesc":72,"sizeBytes":93,"sourceHtmlUrl":94},"workflow.md",3018,"https:\u002F\u002Fgithub.com\u002Fgambheera\u002Fstudy-board\u002Fblob\u002Fmain\u002F.claude\u002Fskills\u002Fbmad-create-epics-and-stories\u002Fworkflow.md",[96,116,141,168,182,198],{"skillNo":97,"name":98,"nameZh":6,"description":99,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":100,"categories":101,"keywords":102,"publishedAt":44},"01M6DF7D7478R55P46REYH4QAC","clarify-requirements","Resolve genuine pre-execution ambiguity by scanning repo context, generating 1-6 grounded options, and asking 1-3 focused questions via AskUserQuestion. NOT for mid-task use (injection risk); NOT when the goal is already unambiguous; use to disambiguate vague prompts before any file edits.","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002Ftools\u002Fworkspace-hooks\u002Fskills\u002Fclarify-requirements\u002FSKILL.md",[],[103,104,105,106,107,31,108,109,110,33,111,112,113,114,115],"clarify requirements","clarify","requirements","risk","options","prompts","goal","scanning","context","repo","injection","execution","file",{"skillNo":117,"name":118,"nameZh":6,"description":119,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":120,"categories":121,"keywords":123,"publishedAt":44},"01M6DF79CA4BHJS66J8EZDBPWJ","openmm-md","Run FREE, open-source, Windows-native GPU molecular dynamics via the openmm-md MCP (OpenMM + CUDA on the local NVIDIA GPU). Use for protein \u002F protein-ligand MD when you want a free stack or are on Windows without a Schrodinger license. Covers the full workflow (prepare, solvate, minimize, equilibrate, production, analyze, mmgbsa) AND an honest decision guide vs Schrodinger Desmond, including how to run Desmond legitimately on Linux or a cloud GPU with a real license. This is a deliberately LESSER free alternative and does NOT replace the schrodinger MCP tools. Do NOT use it to pick a free tool when a validated FEP+, WaterMap, IFD-MD, or Prime MM-GBSA result is actually required.","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002Ftools\u002Fmcp\u002Fopenmm-md-mcp\u002Fskill\u002Fopenmm-md\u002FSKILL.md",[122],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},[124,125,126,127,128,129,39,130,131,132,133,134,24,135,33,136,137,138,139,140],"openmm md","how","decision","pick","linux","analyze","stack","open","NVIDIA","gpu","license","windows","free","molecular dynamics","local","do","MCP",{"skillNo":142,"name":143,"nameZh":6,"description":144,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":145,"categories":146,"keywords":153,"publishedAt":44},"01M6DF76C1MG85VEWP8VZCBNMN","visual-review","Take screenshots of web pages and UI using Playwright for visual review and iteration","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002Ftools\u002Feditor\u002Fmetaswarm\u002Fskills\u002Fvisual-review\u002FSKILL.md",[147,150],{"categoryNo":148,"categoryName":149,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000003","演示文稿",{"categoryNo":151,"categoryName":152,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000008","测试与质量",[154,155,156,157,158,159,160,161,162,163,125,164,165,166,167],"review","visual","visual review","pages","web","false","iteration","take","check","slides","ui","screenshot","playwright","screenshots",{"skillNo":169,"name":170,"nameZh":6,"description":171,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":172,"categories":173,"keywords":174,"publishedAt":44},"01M6DF73AQVCBZKEN0YXEX9FXP","status","Diagnostic status report — shows metaswarm installation state, project setup, and potential issues","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002Ftools\u002Feditor\u002Fmetaswarm\u002Fskills\u002Fstatus\u002FSKILL.md",[],[170,175,176,177,178,179,180,181],"setup","report","project","installation","project setup","issues","state",{"skillNo":183,"name":184,"nameZh":6,"description":185,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":186,"categories":187,"keywords":189,"publishedAt":44},"01M6DF6X6C2XB0P6GX76P7TTYV","start","Use when starting work on any task, when the user mentions metaswarm, or when the user wants to begin tracked development work","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002Ftools\u002Feditor\u002Fmetaswarm\u002Fskills\u002Fstart\u002FSKILL.md",[188],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},[184,190,31,191,192,193,33,194,195,196,197],"start issue","issue","ready","work on issue","user","work","work on","development",{"skillNo":199,"name":175,"nameZh":6,"description":200,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":201,"categories":202,"keywords":203,"publishedAt":44},"01M6DF6QMJ9AJKFKHHKRT005PQ","Interactive project setup — detects your project, configures metaswarm, writes project-local files","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002Ftools\u002Feditor\u002Fmetaswarm\u002Fskills\u002Fsetup\u002FSKILL.md",[],[175,177,138,204,179,205],"files","interactive"]