[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6DB4RHDFTQ5RQG4WJ6K190C":3,"skill-same:01M6DB4RHDFTQ5RQG4WJ6K190C":65},{"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":40,"linkOnly":41,"markdownContent":42,"markdownBody":43,"frontMatter":44,"refName":45,"commitSha":46,"skillDirectory":47,"forksCount":14,"repositoryHtmlUrl":48,"repositoryHomepageUrl":6,"ownerHtmlUrl":49,"ownerBlogUrl":6,"ownerDescription":6,"updatedAt":50,"install":51,"resources":64},"01M6DB4RHDFTQ5RQG4WJ6K190C","claude-devfleet",null,"Orchestrate multi-agent coding tasks via Claude DevFleet — plan projects, dispatch parallel agents in isolated worktrees, monitor progress, and read structured reports.","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\u002F.agents\u002Fskills\u002Fclaude-devfleet\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],"claude devfleet","monitor","tasks","orchestrate","parallel agents","plan","projects","multi-agent","coding","parallel","read","dispatch","reports","worktrees","community","structured","2026-11-10 10:12:30",false,"---\nname: claude-devfleet\ndescription: Orchestrate multi-agent coding tasks via Claude DevFleet — plan projects, dispatch parallel agents in isolated worktrees, monitor progress, and read structured reports.\norigin: community\n---\n\n# Claude DevFleet Multi-Agent Orchestration\n\n## When to Use\n\nUse this skill when you need to dispatch multiple Claude Code agents to work on coding tasks in parallel. Each agent runs in an isolated git worktree with full tooling.\n\nRequires a running Claude DevFleet instance connected via MCP:\n```bash\nclaude mcp add devfleet --transport http http:\u002F\u002Flocalhost:18801\u002Fmcp\n```\n\n## How It Works\n\n```\nUser → \"Build a REST API with auth and tests\"\n  ↓\nplan_project(prompt) → project_id + mission DAG\n  ↓\nShow plan to user → get approval\n  ↓\ndispatch_mission(M1) → Agent 1 spawns in worktree\n  ↓\nM1 completes → auto-merge → auto-dispatch M2 (depends_on M1)\n  ↓\nM2 completes → auto-merge\n  ↓\nget_report(M2) → files_changed, what_done, errors, next_steps\n  ↓\nReport back to user\n```\n\n### Tools\n\n| Tool | Purpose |\n|------|---------|\n| `plan_project(prompt)` | AI breaks a description into a project with chained missions |\n| `create_project(name, path?, description?)` | Create a project manually, returns `project_id` |\n| `create_mission(project_id, title, prompt, depends_on?, auto_dispatch?)` | Add a mission. `depends_on` is a list of mission ID strings (e.g., `[\"abc-123\"]`). Set `auto_dispatch=true` to auto-start when deps are met. |\n| `dispatch_mission(mission_id, model?, max_turns?)` | Start an agent on a mission |\n| `cancel_mission(mission_id)` | Stop a running agent |\n| `wait_for_mission(mission_id, timeout_seconds?)` | Block until a mission completes (see note below) |\n| `get_mission_status(mission_id)` | Check mission progress without blocking |\n| `get_report(mission_id)` | Read structured report (files changed, tested, errors, next steps) |\n| `get_dashboard()` | System overview: running agents, stats, recent activity |\n| `list_projects()` | Browse all projects |\n| `list_missions(project_id, status?)` | List missions in a project |\n\n> **Note on `wait_for_mission`:** This blocks the conversation for up to `timeout_seconds` (default 600). For long-running missions, prefer polling with `get_mission_status` every 30–60 seconds instead, so the user sees progress updates.\n\n### Workflow: Plan → Dispatch → Monitor → Report\n\n1. **Plan**: Call `plan_project(prompt=\"...\")` → returns `project_id` + list of missions with `depends_on` chains and `auto_dispatch=true`.\n2. **Show plan**: Present mission titles, types, and dependency chain to the user.\n3. **Dispatch**: Call `dispatch_mission(mission_id=\u003Cfirst_mission_id>)` on the root mission (empty `depends_on`). Remaining missions auto-dispatch as their dependencies complete (because `plan_project` sets `auto_dispatch=true` on them).\n4. **Monitor**: Call `get_mission_status(mission_id=...)` or `get_dashboard()` to check progress.\n5. **Report**: Call `get_report(mission_id=...)` when missions complete. Share highlights with the user.\n\n### Concurrency\n\nDevFleet runs up to 3 concurrent agents by default (configurable via `DEVFLEET_MAX_AGENTS`). When all slots are full, missions with `auto_dispatch=true` queue in the mission watcher and dispatch automatically as slots free up. Check `get_dashboard()` for current slot usage.\n\n## Examples\n\n### Full auto: plan and launch\n\n1. `plan_project(prompt=\"...\")` → shows plan with missions and dependencies.\n2. Dispatch the first mission (the one with empty `depends_on`).\n3. Remaining missions auto-dispatch as dependencies resolve (they have `auto_dispatch=true`).\n4. Report back with project ID and mission count so the user knows what was launched.\n5. Poll with `get_mission_status` or `get_dashboard()` periodically until all missions reach a terminal state (`completed`, `failed`, or `cancelled`).\n6. `get_report(mission_id=...)` for each terminal mission — summarize successes and call out failures with errors and next steps.\n\n### Manual: step-by-step control\n\n1. `create_project(name=\"My Project\")` → returns `project_id`.\n2. `create_mission(project_id=project_id, title=\"...\", prompt=\"...\", auto_dispatch=true)` for the first (root) mission → capture `root_mission_id`.\n   `create_mission(project_id=project_id, title=\"...\", prompt=\"...\", auto_dispatch=true, depends_on=[\"\u003Croot_mission_id>\"])` for each subsequent task.\n3. `dispatch_mission(mission_id=...)` on the first mission to start the chain.\n4. `get_report(mission_id=...)` when done.\n\n### Sequential with review\n\n1. `create_project(name=\"...\")` → get `project_id`.\n2. `create_mission(project_id=project_id, title=\"Implement feature\", prompt=\"...\")` → get `impl_mission_id`.\n3. `dispatch_mission(mission_id=impl_mission_id)`, then poll with `get_mission_status` until complete.\n4. `get_report(mission_id=impl_mission_id)` to review results.\n5. `create_mission(project_id=project_id, title=\"Review\", prompt=\"...\", depends_on=[impl_mission_id], auto_dispatch=true)` — auto-starts since the dependency is already met.\n\n## Guidelines\n\n- Always confirm the plan with the user before dispatching, unless they said to go ahead.\n- Include mission titles and IDs when reporting status.\n- If a mission fails, read its report before retrying.\n- Check `get_dashboard()` for agent slot availability before bulk dispatching.\n- Mission dependencies form a DAG — do not create circular dependencies.\n- Each agent runs in an isolated git worktree and auto-merges on completion. If a merge conflict occurs, the changes remain on the agent's worktree branch for manual resolution.\n- When manually creating missions, always set `auto_dispatch=true` if you want them to trigger automatically when dependencies complete. Without this flag, missions stay in `draft` status.\n","# Claude DevFleet Multi-Agent Orchestration\n\n## When to Use\n\nUse this skill when you need to dispatch multiple Claude Code agents to work on coding tasks in parallel. Each agent runs in an isolated git worktree with full tooling.\n\nRequires a running Claude DevFleet instance connected via MCP:\n```bash\nclaude mcp add devfleet --transport http http:\u002F\u002Flocalhost:18801\u002Fmcp\n```\n\n## How It Works\n\n```\nUser → \"Build a REST API with auth and tests\"\n  ↓\nplan_project(prompt) → project_id + mission DAG\n  ↓\nShow plan to user → get approval\n  ↓\ndispatch_mission(M1) → Agent 1 spawns in worktree\n  ↓\nM1 completes → auto-merge → auto-dispatch M2 (depends_on M1)\n  ↓\nM2 completes → auto-merge\n  ↓\nget_report(M2) → files_changed, what_done, errors, next_steps\n  ↓\nReport back to user\n```\n\n### Tools\n\n| Tool | Purpose |\n|------|---------|\n| `plan_project(prompt)` | AI breaks a description into a project with chained missions |\n| `create_project(name, path?, description?)` | Create a project manually, returns `project_id` |\n| `create_mission(project_id, title, prompt, depends_on?, auto_dispatch?)` | Add a mission. `depends_on` is a list of mission ID strings (e.g., `[\"abc-123\"]`). Set `auto_dispatch=true` to auto-start when deps are met. |\n| `dispatch_mission(mission_id, model?, max_turns?)` | Start an agent on a mission |\n| `cancel_mission(mission_id)` | Stop a running agent |\n| `wait_for_mission(mission_id, timeout_seconds?)` | Block until a mission completes (see note below) |\n| `get_mission_status(mission_id)` | Check mission progress without blocking |\n| `get_report(mission_id)` | Read structured report (files changed, tested, errors, next steps) |\n| `get_dashboard()` | System overview: running agents, stats, recent activity |\n| `list_projects()` | Browse all projects |\n| `list_missions(project_id, status?)` | List missions in a project |\n\n> **Note on `wait_for_mission`:** This blocks the conversation for up to `timeout_seconds` (default 600). For long-running missions, prefer polling with `get_mission_status` every 30–60 seconds instead, so the user sees progress updates.\n\n### Workflow: Plan → Dispatch → Monitor → Report\n\n1. **Plan**: Call `plan_project(prompt=\"...\")` → returns `project_id` + list of missions with `depends_on` chains and `auto_dispatch=true`.\n2. **Show plan**: Present mission titles, types, and dependency chain to the user.\n3. **Dispatch**: Call `dispatch_mission(mission_id=\u003Cfirst_mission_id>)` on the root mission (empty `depends_on`). Remaining missions auto-dispatch as their dependencies complete (because `plan_project` sets `auto_dispatch=true` on them).\n4. **Monitor**: Call `get_mission_status(mission_id=...)` or `get_dashboard()` to check progress.\n5. **Report**: Call `get_report(mission_id=...)` when missions complete. Share highlights with the user.\n\n### Concurrency\n\nDevFleet runs up to 3 concurrent agents by default (configurable via `DEVFLEET_MAX_AGENTS`). When all slots are full, missions with `auto_dispatch=true` queue in the mission watcher and dispatch automatically as slots free up. Check `get_dashboard()` for current slot usage.\n\n## Examples\n\n### Full auto: plan and launch\n\n1. `plan_project(prompt=\"...\")` → shows plan with missions and dependencies.\n2. Dispatch the first mission (the one with empty `depends_on`).\n3. Remaining missions auto-dispatch as dependencies resolve (they have `auto_dispatch=true`).\n4. Report back with project ID and mission count so the user knows what was launched.\n5. Poll with `get_mission_status` or `get_dashboard()` periodically until all missions reach a terminal state (`completed`, `failed`, or `cancelled`).\n6. `get_report(mission_id=...)` for each terminal mission — summarize successes and call out failures with errors and next steps.\n\n### Manual: step-by-step control\n\n1. `create_project(name=\"My Project\")` → returns `project_id`.\n2. `create_mission(project_id=project_id, title=\"...\", prompt=\"...\", auto_dispatch=true)` for the first (root) mission → capture `root_mission_id`.\n   `create_mission(project_id=project_id, title=\"...\", prompt=\"...\", auto_dispatch=true, depends_on=[\"\u003Croot_mission_id>\"])` for each subsequent task.\n3. `dispatch_mission(mission_id=...)` on the first mission to start the chain.\n4. `get_report(mission_id=...)` when done.\n\n### Sequential with review\n\n1. `create_project(name=\"...\")` → get `project_id`.\n2. `create_mission(project_id=project_id, title=\"Implement feature\", prompt=\"...\")` → get `impl_mission_id`.\n3. `dispatch_mission(mission_id=impl_mission_id)`, then poll with `get_mission_status` until complete.\n4. `get_report(mission_id=impl_mission_id)` to review results.\n5. `create_mission(project_id=project_id, title=\"Review\", prompt=\"...\", depends_on=[impl_mission_id], auto_dispatch=true)` — auto-starts since the dependency is already met.\n\n## Guidelines\n\n- Always confirm the plan with the user before dispatching, unless they said to go ahead.\n- Include mission titles and IDs when reporting status.\n- If a mission fails, read its report before retrying.\n- Check `get_dashboard()` for agent slot availability before bulk dispatching.\n- Mission dependencies form a DAG — do not create circular dependencies.\n- Each agent runs in an isolated git worktree and auto-merges on completion. If a merge conflict occurs, the changes remain on the agent's worktree branch for manual resolution.\n- When manually creating missions, always set `auto_dispatch=true` if you want them to trigger automatically when dependencies complete. Without this flag, missions stay in `draft` status.\n",{"name":5,"origin":38,"description":7},"main","a298c929b6cbd662e1fce54302ce520d5ceea1a5",".agents\u002Fskills\u002Fclaude-devfleet","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain","https:\u002F\u002Fgithub.com\u002FPrekzursil","2026-11-02 14:30:57",{"source":8,"skillName":5,"commands":52,"prompt":62,"zipAvailable":63},[53,56,59],{"tool":54,"command":55},"npx","npx skills add Prekzursil\u002Fagent-skills-toolchain --skill claude-devfleet",{"tool":57,"command":58},"bunx","bunx skills add Prekzursil\u002Fagent-skills-toolchain --skill claude-devfleet",{"tool":60,"command":61},"pnpm","pnpm dlx skills add Prekzursil\u002Fagent-skills-toolchain --skill claude-devfleet","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fclaude-devfleet\u002FSKILL.md",true,[],[66,88,115,142,156,172],{"skillNo":67,"name":68,"nameZh":6,"description":69,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":70,"categories":71,"keywords":72,"publishedAt":40},"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",[],[73,74,75,76,77,78,79,80,81,82,83,84,85,86,87],"clarify requirements","clarify","requirements","risk","options","task","prompts","goal","scanning","use","context","repo","injection","execution","file",{"skillNo":89,"name":90,"nameZh":6,"description":91,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":92,"categories":93,"keywords":95,"publishedAt":40},"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",[94],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},[96,97,98,99,100,101,102,103,104,105,106,107,108,109,82,110,111,112,113,114],"openmm md","how","decision","pick","linux","analyze","tool","stack","open","NVIDIA","gpu","license","workflow","windows","free","molecular dynamics","local","do","MCP",{"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":127,"publishedAt":40},"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",[121,124],{"categoryNo":122,"categoryName":123,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000003","演示文稿",{"categoryNo":125,"categoryName":126,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000008","测试与质量",[128,129,130,131,132,133,134,135,136,137,97,138,139,140,141],"review","visual","visual review","pages","web","false","iteration","take","check","slides","ui","screenshot","playwright","screenshots",{"skillNo":143,"name":144,"nameZh":6,"description":145,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":146,"categories":147,"keywords":148,"publishedAt":40},"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",[],[144,149,150,151,152,153,154,155],"setup","report","project","installation","project setup","issues","state",{"skillNo":157,"name":158,"nameZh":6,"description":159,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":160,"categories":161,"keywords":163,"publishedAt":40},"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",[162],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},[158,164,78,165,166,167,82,168,169,170,171],"start issue","issue","ready","work on issue","user","work","work on","development",{"skillNo":173,"name":149,"nameZh":6,"description":174,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":175,"categories":176,"keywords":177,"publishedAt":40},"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",[],[149,151,112,178,153,179],"files","interactive"]