[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6F9MPEB4QK14DCJDBV2THZF":3,"skill-same:01M6F9MPEB4QK14DCJDBV2THZF":74},{"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":45,"linkOnly":46,"markdownContent":47,"markdownBody":48,"frontMatter":49,"refName":30,"commitSha":54,"skillDirectory":55,"forksCount":56,"repositoryHtmlUrl":57,"repositoryHomepageUrl":6,"ownerHtmlUrl":58,"ownerBlogUrl":6,"ownerDescription":6,"updatedAt":59,"install":60,"resources":73},"01M6F9MPEB4QK14DCJDBV2THZF","odw",null,"Dynamic multi-agent workflows — plan first, then orchestrate parallel agents with adversarial verification via the local odw daemon. Use when the user asks for a \"workflow\", says \"ultracode\", or hands you a task spanning many files\u002Fitems that benefits from parallel agents.","boisenoise\u002Fskills-collections","boisenoise","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F193180?v=4","01M6CDBDQK6BDN55ZMA6B6PKBM","01M6CDBDVSJ3JPTBYN26FZ7TZK",12,"MIT","https:\u002F\u002Fgithub.com\u002Fboisenoise\u002Fskills-collections\u002Fblob\u002Fmain\u002Fskills\u002Fantigravity-odw\u002FSKILL.md",[],[5,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44],"task","2026","when","ultracode","daemon","you","with","multi","adapter","critical","local","wed","main","workflow","community","files","plan first","use","parallel","plan","open","parallel agents","orchestrate","license","verification","packages","workflows","2026-11-10 10:12:30",false,"---\nname: odw\ndescription: Dynamic multi-agent workflows — plan first, then orchestrate parallel agents with adversarial verification via the local odw daemon. Use when the user asks for a \"workflow\", says \"ultracode\", or hands you a task spanning many files\u002Fitems that benefits from parallel agents.\nrisk: critical\nsource: https:\u002F\u002Fgithub.com\u002FSuraj1235\u002Fopen-dynamic-workflows\u002Ftree\u002Fmain\u002Fpackages\u002Fantigravity-adapter\u002Fskills\u002Fodw\nsource_repo: Suraj1235\u002Fopen-dynamic-workflows\nsource_type: community\ndate_added: 2026-07-01\nlicense: MIT\nlicense_source: https:\u002F\u002Fgithub.com\u002FSuraj1235\u002Fopen-dynamic-workflows\u002Fblob\u002Fmain\u002FLICENSE\n---\n## Supporting material availability\n\nThis catalog copy contains the inline guidance below, but does not include the following supporting paths. They are external prerequisites, not bundled files:\n\n- `\u003Csupport-root>\u002Fscripts\u002Fdaemon-bridge.js`\n\nObtain the required material from the [declared upstream source](https:\u002F\u002Fgithub.com\u002FSuraj1235\u002Fopen-dynamic-workflows), or from a user-provided installation of that source. Resolve each path relative to that installation, inspect its contents, and verify any applicable license and execution prerequisites. Do not run a command or claim a referenced procedure was followed until its required file exists. Do not fabricate the missing scripts or treat an unrelated file with the same name as equivalent. Independent steps fully documented here can proceed within the user’s authorized scope; report any dependent step as unavailable.\n\n\n# Open Dynamic Workflows (Antigravity)\n## When to Use\n\nUse this skill when you need dynamic multi-agent workflows — plan first, then orchestrate parallel agents with adversarial verification via the local odw daemon. Use when the user asks for a \"workflow\", says \"ultracode\", or hands you a task spanning many files\u002Fitems that benefits from parallel agents.\n\n\nSame canonical skill as the Codex adapter — only the install path differs\n(`~\u002F.gemini\u002Fskills\u002Fodw\u002F`). The upstream adapter expects bridge scripts alongside its installed skill; they are absent from this AAS tree.\n\n## Model & API key (read this first)\n\nAntigravity locks model invocation to its internal engine — skills, workflows, MCP servers, `invoke_subagent`, and the SDK can use its *tools* but **cannot call its configured model (Gemini\u002FClaude\u002FGPT-OSS) from extension code**. So, unlike the OpenCode plugin (which runs ODW's real engine *through* OpenCode's model with no extra key), there are two honest paths:\n\n- **No-key path (Native fallback):** Antigravity's own agent orchestrates with `invoke_subagent` (real isolation\u002Fworktrees) using its own model — no extra key, but **not** the ODW engine.\n- **Full-engine path (Daemon):** the real ODW engine runs in the local daemon using **its own** provider key in `~\u002F.odw\u002Fconfig.json` (Ollama is keyless\u002Flocal). This is the only way to get the full engine on Antigravity today.\n\nIf Antigravity later ships a documented model-invocation API (or MCP sampling), it can graduate to the same keyless embedded path as OpenCode with no engine changes.\n\n## Step 0 — Daemon check\n\nOnly after verifying the separately reviewed installation, run its absolute path: `node \u002Fabsolute\u002Freviewed\u002Fodw\u002Fscripts\u002Fdaemon-bridge.js --check`. Do not resolve this command against the current project.\n- Exit 0 → daemon is up; use the daemon path below.\n- Exit 1 → daemon is down; orchestrate natively with Antigravity's Agent Manager (session-scoped) and mention once that the daemon installs from github.com\u002FSuraj1235\u002Fopen-dynamic-workflows (clone, `npm install`, `npm run setup`, then `odw-daemon start`).\n\n## Daemon path\n\n1. **Plan:** `node scripts\u002Fdaemon-bridge.js plan \"\u003Ctask>\"` — JSON plan with task graph, topology, roles, hard limits and the compiled orchestration script.\n2. **Confirm:** summarize topology \u002F agent count \u002F est. cost \u002F est. time before executing anything beyond read-only work.\n3. **Execute:** `node scripts\u002Fdaemon-bridge.js exec plan.json` → `wf_...` id. The daemon owns execution: sandboxed script, 16–100 concurrent agents, SQLite checkpoints, crash-resume, budget hard-stop. It keeps running even if this IDE session ends.\n4. **Report:** `node scripts\u002Fdaemon-bridge.js result \u003Cwf_id>` blocks until done; relay the synthesized result.\n\n## Native fallback path\n\nDecompose → parallel work → adversarial verification → synthesis, inside the current session. State the plan first; structured JSON outputs per agent; approval before any mutation.\n\n## Notes\n\n- The VS Code extension (`odw-vscode`) installs in Antigravity as-is (it is a VS Code fork) and gives a live workflow dashboard.\n- Driving Antigravity sessions programmatically has no official API; anything beyond skills + MCP + extensions is experimental and not part of this adapter.\n\n## Example\n\n**User request:**\n\n> Use @odw for this task: Dynamic multi-agent workflows — plan first, then orchestrate parallel agents with adversarial verification via the local odw daemon.\n\n## Limitations\n\n- Use this skill only when the task clearly matches its upstream source and local project context.\n- Verify commands, generated code, dependencies, credentials, and external service behavior before applying changes.\n- Do not treat examples as a substitute for environment-specific tests, security review, or user approval for destructive or costly actions.\n","## Supporting material availability\n\nThis catalog copy contains the inline guidance below, but does not include the following supporting paths. They are external prerequisites, not bundled files:\n\n- `\u003Csupport-root>\u002Fscripts\u002Fdaemon-bridge.js`\n\nObtain the required material from the [declared upstream source](https:\u002F\u002Fgithub.com\u002FSuraj1235\u002Fopen-dynamic-workflows), or from a user-provided installation of that source. Resolve each path relative to that installation, inspect its contents, and verify any applicable license and execution prerequisites. Do not run a command or claim a referenced procedure was followed until its required file exists. Do not fabricate the missing scripts or treat an unrelated file with the same name as equivalent. Independent steps fully documented here can proceed within the user’s authorized scope; report any dependent step as unavailable.\n\n\n# Open Dynamic Workflows (Antigravity)\n## When to Use\n\nUse this skill when you need dynamic multi-agent workflows — plan first, then orchestrate parallel agents with adversarial verification via the local odw daemon. Use when the user asks for a \"workflow\", says \"ultracode\", or hands you a task spanning many files\u002Fitems that benefits from parallel agents.\n\n\nSame canonical skill as the Codex adapter — only the install path differs\n(`~\u002F.gemini\u002Fskills\u002Fodw\u002F`). The upstream adapter expects bridge scripts alongside its installed skill; they are absent from this AAS tree.\n\n## Model & API key (read this first)\n\nAntigravity locks model invocation to its internal engine — skills, workflows, MCP servers, `invoke_subagent`, and the SDK can use its *tools* but **cannot call its configured model (Gemini\u002FClaude\u002FGPT-OSS) from extension code**. So, unlike the OpenCode plugin (which runs ODW's real engine *through* OpenCode's model with no extra key), there are two honest paths:\n\n- **No-key path (Native fallback):** Antigravity's own agent orchestrates with `invoke_subagent` (real isolation\u002Fworktrees) using its own model — no extra key, but **not** the ODW engine.\n- **Full-engine path (Daemon):** the real ODW engine runs in the local daemon using **its own** provider key in `~\u002F.odw\u002Fconfig.json` (Ollama is keyless\u002Flocal). This is the only way to get the full engine on Antigravity today.\n\nIf Antigravity later ships a documented model-invocation API (or MCP sampling), it can graduate to the same keyless embedded path as OpenCode with no engine changes.\n\n## Step 0 — Daemon check\n\nOnly after verifying the separately reviewed installation, run its absolute path: `node \u002Fabsolute\u002Freviewed\u002Fodw\u002Fscripts\u002Fdaemon-bridge.js --check`. Do not resolve this command against the current project.\n- Exit 0 → daemon is up; use the daemon path below.\n- Exit 1 → daemon is down; orchestrate natively with Antigravity's Agent Manager (session-scoped) and mention once that the daemon installs from github.com\u002FSuraj1235\u002Fopen-dynamic-workflows (clone, `npm install`, `npm run setup`, then `odw-daemon start`).\n\n## Daemon path\n\n1. **Plan:** `node scripts\u002Fdaemon-bridge.js plan \"\u003Ctask>\"` — JSON plan with task graph, topology, roles, hard limits and the compiled orchestration script.\n2. **Confirm:** summarize topology \u002F agent count \u002F est. cost \u002F est. time before executing anything beyond read-only work.\n3. **Execute:** `node scripts\u002Fdaemon-bridge.js exec plan.json` → `wf_...` id. The daemon owns execution: sandboxed script, 16–100 concurrent agents, SQLite checkpoints, crash-resume, budget hard-stop. It keeps running even if this IDE session ends.\n4. **Report:** `node scripts\u002Fdaemon-bridge.js result \u003Cwf_id>` blocks until done; relay the synthesized result.\n\n## Native fallback path\n\nDecompose → parallel work → adversarial verification → synthesis, inside the current session. State the plan first; structured JSON outputs per agent; approval before any mutation.\n\n## Notes\n\n- The VS Code extension (`odw-vscode`) installs in Antigravity as-is (it is a VS Code fork) and gives a live workflow dashboard.\n- Driving Antigravity sessions programmatically has no official API; anything beyond skills + MCP + extensions is experimental and not part of this adapter.\n\n## Example\n\n**User request:**\n\n> Use @odw for this task: Dynamic multi-agent workflows — plan first, then orchestrate parallel agents with adversarial verification via the local odw daemon.\n\n## Limitations\n\n- Use this skill only when the task clearly matches its upstream source and local project context.\n- Verify commands, generated code, dependencies, credentials, and external service behavior before applying changes.\n- Do not treat examples as a substitute for environment-specific tests, security review, or user approval for destructive or costly actions.\n",{"name":5,"risk":27,"source":50,"license":14,"date_added":51,"description":7,"source_repo":52,"source_type":32,"license_source":53},"https:\u002F\u002Fgithub.com\u002FSuraj1235\u002Fopen-dynamic-workflows\u002Ftree\u002Fmain\u002Fpackages\u002Fantigravity-adapter\u002Fskills\u002Fodw",1782864000000,"Suraj1235\u002Fopen-dynamic-workflows","https:\u002F\u002Fgithub.com\u002FSuraj1235\u002Fopen-dynamic-workflows\u002Fblob\u002Fmain\u002FLICENSE","7bf2279c8a65758319526a721d5c4b75683aec9c","skills\u002Fantigravity-odw",3,"https:\u002F\u002Fgithub.com\u002Fboisenoise\u002Fskills-collections","https:\u002F\u002Fgithub.com\u002Fboisenoise","2026-11-11 14:20:43",{"source":8,"skillName":5,"commands":61,"prompt":71,"zipAvailable":72},[62,65,68],{"tool":63,"command":64},"npx","npx skills add boisenoise\u002Fskills-collections --skill odw",{"tool":66,"command":67},"bunx","bunx skills add boisenoise\u002Fskills-collections --skill odw",{"tool":69,"command":70},"pnpm","pnpm dlx skills add boisenoise\u002Fskills-collections --skill odw","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Fboisenoise\u002Fskills-collections\u002Fblob\u002Fmain\u002Fskills\u002Fantigravity-odw\u002FSKILL.md",true,[],[75,102,127,153,172,195],{"skillNo":76,"name":77,"nameZh":6,"description":78,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":79,"licenseFileUrl":80,"sourceHtmlUrl":81,"categories":82,"keywords":83,"publishedAt":45},"01M6WNH92BHVFXHGPDZCPJ0AG0","web-access","Use Treg for public web or platform data only when existing search, browser and connected tools cannot cover the task, with explicit cost and data boundaries.","Apache-2.0","https:\u002F\u002Fgithub.com\u002Fboisenoise\u002Fskills-collections\u002Fblob\u002Fmain\u002Fskills\u002Fantigravity-web-access\u002FLICENSE","https:\u002F\u002Fgithub.com\u002Fboisenoise\u002Fskills-collections\u002Fblob\u002Fmain\u002Fskills\u002Fantigravity-web-access\u002FSKILL.md",[],[84,85,86,87,88,89,90,91,92,93,94,95,96,97,98,27,99,100,101,20,19],"web","access","web access","official","development","browser","search","data","Tools","read","fetch","only","youtube","free tools","platform","free","cover","normal",{"skillNo":103,"name":104,"nameZh":6,"description":105,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":79,"licenseFileUrl":106,"sourceHtmlUrl":107,"categories":108,"keywords":114,"publishedAt":45},"01M6WNF9XAYAB2CZDDJBAKNM93","treg","Use the Treg CLI or MCP catalog to discover, price and call authorized external tools with team-scoped credentials and a user-approved budget.","https:\u002F\u002Fgithub.com\u002Fboisenoise\u002Fskills-collections\u002Fblob\u002Fmain\u002Fskills\u002Fantigravity-treg\u002FLICENSE","https:\u002F\u002Fgithub.com\u002Fboisenoise\u002Fskills-collections\u002Fblob\u002Fmain\u002Fskills\u002Fantigravity-treg\u002FSKILL.md",[109],{"categoryNo":110,"categoryName":111,"taxonomyType":112,"taxonomyTypeDesc":113},"01JBSEEDCAT000000000000023","Skill与智能体开发","SCENARIO","使用场景",[104,115,116,117,87,88,41,92,118,119,120,121,35,122,123,27,124,24,125,126,19],"MCP","cli","github","Budget","credentials","team","catalog","call","discover","external tools","scoped","blob",{"skillNo":128,"name":129,"nameZh":6,"description":130,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":79,"licenseFileUrl":131,"sourceHtmlUrl":132,"categories":133,"keywords":139,"publishedAt":45},"01M6WN93MEAZ4E41DYAHJRPHQT","recruit","Turn a job description into an evidence-linked candidate shortlist through Treg, with job-related ranking and optional authorized business contact enrichment.","https:\u002F\u002Fgithub.com\u002Fboisenoise\u002Fskills-collections\u002Fblob\u002Fmain\u002Fskills\u002Fantigravity-recruit\u002FLICENSE","https:\u002F\u002Fgithub.com\u002Fboisenoise\u002Fskills-collections\u002Fblob\u002Fmain\u002Fskills\u002Fantigravity-recruit\u002FSKILL.md",[134],{"categoryNo":135,"categoryName":136,"taxonomyType":137,"taxonomyTypeDesc":138},"01JBSEEDCAT000000000000038","人力资源","PROFESSION","适用职业",[129,117,87,41,140,141,142,143,144,145,27,146,147,148,24,149,150,151,152,126,104,19],"https","email","enrichment","business","evidence","phone","ranking","post","job description","for","person","candidate","reason",{"skillNo":154,"name":155,"nameZh":6,"description":156,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":79,"licenseFileUrl":157,"sourceHtmlUrl":158,"categories":159,"keywords":160,"publishedAt":45},"01M6WN8R5RXSMHM9B4D9FAFX42","rea-growth","Analyze a company’s public growth and content through Treg, distinguish observations from hypotheses, and produce an evidence-linked playbook within an approved budget.","https:\u002F\u002Fgithub.com\u002Fboisenoise\u002Fskills-collections\u002Fblob\u002Fmain\u002Fskills\u002Fantigravity-rea-growth\u002FLICENSE","https:\u002F\u002Fgithub.com\u002Fboisenoise\u002Fskills-collections\u002Fblob\u002Fmain\u002Fskills\u002Fantigravity-rea-growth\u002FSKILL.md",[],[161,162,163,117,87,41,164,165,140,166,118,167,168,169,144,27,170,171,126,104,19],"growth","rea","rea growth","produce","content","playbook","marketing","analyze","public","observations","company",{"skillNo":173,"name":174,"nameZh":6,"description":175,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":79,"licenseFileUrl":176,"sourceHtmlUrl":177,"categories":178,"keywords":179,"publishedAt":45},"01M6WN2EVE3RQRGWAKBT4S7YT2","make-ugc","Create original AI UGC-style product videos through Treg: research hooks, approve a licensed presenter and voice, generate clips, add captions and report costs.","https:\u002F\u002Fgithub.com\u002Fboisenoise\u002Fskills-collections\u002Fblob\u002Fmain\u002Fskills\u002Fantigravity-make-ugc\u002FLICENSE","https:\u002F\u002Fgithub.com\u002Fboisenoise\u002Fskills-collections\u002Fblob\u002Fmain\u002Fskills\u002Fantigravity-make-ugc\u002FSKILL.md",[],[180,181,117,182,87,183,41,184,185,186,187,188,27,189,190,191,192,193,194,126],"make","make ugc","research","create","Video","Captions","ads","short","hooks","head","style","niche","trending","talking-head","approve",{"skillNo":196,"name":197,"nameZh":6,"description":198,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":79,"licenseFileUrl":199,"sourceHtmlUrl":200,"categories":201,"keywords":202,"publishedAt":45},"01M6WN10ARAA63Y8K1YNGXJ2RM","lead-signals","Find and qualify public buying signals through Treg, rank fitting business accounts and optionally enrich authorized business contact information.","https:\u002F\u002Fgithub.com\u002Fboisenoise\u002Fskills-collections\u002Fblob\u002Fmain\u002Fskills\u002Fantigravity-lead-signals\u002FLICENSE","https:\u002F\u002Fgithub.com\u002Fboisenoise\u002Fskills-collections\u002Fblob\u002Fmain\u002Fskills\u002Fantigravity-lead-signals\u002FSKILL.md",[],[203,204,205,117,87,41,206,207,143,208,209,27,210,211,212,213,214,215,216,126],"signals","lead","lead signals","how","find","ready","as","how to","qualify","people","information","enrich","changes","funding"]