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Tags: latest:1.0.0 Version history: v1.0.0 | 2026-04-28T07:29:17.829Z | user Initial release Archive index: Archive v1.0.0: 3 files, 3665 bytes Files: skill-card.md (1960b), SKILL.md (5109b), _meta.json (133b) File v1.0.0","descriptionLabel":"Technical summary","evidenceSummary":"Capability contract not published. No trust telemetry is available yet. 1.1K downloads reported by the source. 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TaskFlow is the durable flow substrate under...\n\nTags: latest:1.0.0\n\nVersion history:\n\nv1.0.0 | 2026-04-28T07:29:17.829Z | user\n\nInitial release\n\nArchive index:\n\nArchive v1.0.0: 3 files, 3665 bytes\n\nFiles: skill-card.md (1960b), SKILL.md (5109b), _meta.json (133b)\n\nFile v1.0.0:SKILL.md\n\n---\nname: taskflow\ndescription: Use when work should span one or more detached tasks but still behave like one job with a single owner context. TaskFlow is the durable flow substrate under authoring layers like Lobster, ACPX, plugins, or plain code. Keep conditional logic in the caller; use TaskFlow for flow identity, child-task linkage, waiting state, revision-checked mutations, and user-facing emergence.\nmetadata: { \"openclaw\": { \"emoji\": \"🪝\" } }\n---\ntags:\n  - workflow\n  - orchestration\n  - task-management\ncompatibility: openclaw\nlicense: MIT\n\n\n# TaskFlow\n\nUse TaskFlow when a job needs to outlive one prompt or one detached run, but you still want one owner session, one return context, and one place to inspect or resume the work.\n\n## When to use it\n\n- Multi-step background work with one owner\n- Work that waits on detached ACP or subagent tasks\n- Jobs that may need to emit one clear update back to the owner\n- Jobs that need small persisted state between steps\n- Plugin or tool work that must survive restarts and revision conflicts cleanly\n\n## What TaskFlow owns\n\n- flow identity\n- owner session and requester origin\n- `currentStep`, `stateJson`, and `waitJson`\n- linked child tasks and their parent flow id\n- finish, fail, cancel, waiting, and blocked state\n- revision tracking for conflict-safe mutations\n\nIt does **not** own branching or business logic. Put that in Lobster, acpx, or the calling code.\n\n## Current runtime shape\n\nCanonical plugin/runtime entrypoint:\n\n- `api.runtime.tasks.flow`\n- `api.runtime.taskFlow` still exists as an alias, but `api.runtime.tasks.flow` is the canonical shape\n\nBinding:\n\n- `api.runtime.tasks.flow.fromToolContext(ctx)` when you already have trusted tool context with `sessionKey`\n- `api.runtime.tasks.flow.bindSession({ sessionKey, requesterOrigin })` when your binding layer already resolved the session and delivery context\n\nManaged-flow lifecycle:\n\n1. `createManaged(...)`\n2. `runTask(...)`\n3. `setWaiting(...)` when waiting on a person or an external system\n4. `resume(...)` when work can continue\n5. `finish(...)` or `fail(...)`\n6. `requestCancel(...)` or `cancel(...)` when the whole job should stop\n\n## Design constraints\n\n- Use **managed** TaskFlows when your code owns the orchestration.\n- One-task **mirrored** flows are created by core runtime for detached ACP/subagent work; this skill is mainly about managed flows.\n- Treat `stateJson` as the persisted state bag. There is no separate `setFlowOutput` or `appendFlowOutput` API.\n- Every mutating method after creation is revision-checked. Carry forward the latest `flow.revision` after each successful mutation.\n- `runTask(...)` links the child task to the flow. Use it instead of manually creating detached tasks when you want parent orchestration.\n\n## Example shape\n\n```ts\nconst taskFlow = api.runtime.tasks.flow.fromToolContext(ctx);\n\nconst created = taskFlow.createManaged({\n  controllerId: \"my-plugin/inbox-triage\",\n  goal: \"triage inbox\",\n  currentStep: \"classify\",\n  stateJson: {\n    businessThreads: [],\n    personalItems: [],\n    eodSummary: [],\n  },\n});\n\nconst classify = taskFlow.runTask({\n  flowId: created.flowId,\n  runtime: \"acp\",\n  childSessionKey: \"agent:main:subagent:classifier\",\n  runId: \"inbox-classify-1\",\n  task: \"Classify inbox messages\",\n  status: \"running\",\n  startedAt: Date.now(),\n  lastEventAt: Date.now(),\n});\n\nif (!classify.created) {\n  throw new Error(classify.reason);\n}\n\nconst waiting = taskFlow.setWaiting({\n  flowId: created.flowId,\n  expectedRevision: created.revision,\n  currentStep: \"await_business_reply\",\n  stateJson: {\n    businessThreads: [\"slack:thread-1\"],\n    personalItems: [],\n    eodSummary: [],\n  },\n  waitJson: {\n    kind: \"reply\",\n    channel: \"slack\",\n    threadKey: \"slack:thread-1\",\n  },\n});\n\nif (!waiting.applied) {\n  throw new Error(waiting.code);\n}\n\nconst resumed = taskFlow.resume({\n  flowId: waiting.flow.flowId,\n  expectedRevision: waiting.flow.revision,\n  status: \"running\",\n  currentStep: \"finalize\",\n  stateJson: waiting.flow.stateJson,\n});\n\nif (!resumed.applied) {\n  throw new Error(resumed.code);\n}\n\ntaskFlow.finish({\n  flowId: resumed.flow.flowId,\n  expectedRevision: resumed.flow.revision,\n  stateJson: resumed.flow.stateJson,\n});\n```\n\n## Keep conditionals above the runtime\n\nUse the flow runtime for state and task linkage. Keep decisions in the authoring layer:\n\n- `business` → post to Slack and wait\n- `personal` → notify the owner now\n- `later` → append to an end-of-day summary bucket\n\n## Operational pattern\n\n- Store only the minimum state needed to resume.\n- Put human-readable wait reasons in `blockedSummary` or structured wait metadata in `waitJson`.\n- Use `getTaskSummary(flowId)` when the orchestrator needs a compact health view of child work.\n- Use `requestCancel(...)` when a caller wants the flow to stop scheduling immediately.\n- Use `cancel(...)` when you also want active linked child tasks cancelled.\n\n## Examples\n\n- See `skills/taskflow/examples/inbox-triage.lobster`\n- See `skills/taskflow/examples/pr-intake.lobster`\n- See `skills/taskflow-inbox-triage/SKILL.md` for a concrete routing pattern\n\nFile v1.0.0:_meta.json\n\n{\n  \"ownerId\": \"kn75agxmr0x2w8x7206mwrwrwn85c6mz\",\n  \"slug\": \"yihui-taskflow\",\n  \"version\": \"1.0.0\",\n  \"publishedAt\": 1777361357829\n}\n\nFile v1.0.0:skill-card.md\n\n## Description:\n\nUse when work should span one or more detached tasks but still behave like one job with a single owner context.\n\nThis skill is ready for commercial/non-commercial use.\n\n## Publisher:\n\n[1yihui](https://clawhub.ai/user/1yihui)\n\n### License/Terms of Use:\n\nMIT-0\n\n## Use Case:\n\nDevelopers and agent builders use TaskFlow to coordinate durable multi-step work that can link detached child tasks, persist small resume state, wait on people or external systems, and return one owner-facing result.\n\n### Deployment Geography for Use:\n\nGlobal\n\n## Known Risks and Mitigations:\n\nRisk: Workflows can persist small state or waiting metadata that may include sensitive content if callers place it there.\n\nMitigation: Store only the minimum state required to resume, and avoid placing sensitive content in stateJson or waitJson unless it is necessary.\n\nRisk: Linked child tasks may continue running as part of durable multi-step work if cancellation is not handled deliberately.\n\nMitigation: Use requestCancel when scheduling should stop, use cancel when active linked child tasks should also be cancelled, and inspect task summaries during orchestration.\n\n## Reference(s):\n\n- [ClawHub skill page](https://clawhub.ai/1yihui/skills/yihui-taskflow)\n\n## Skill Output:\n\n**Output Type(s):** [guidance, code, configuration]\n\n**Output Format:** [Markdown guidance with TypeScript examples and API usage patterns]\n\n**Output Parameters:** [1D]\n\n**Other Properties Related to Output:** [Produces implementation guidance for durable flow identity, child-task linkage, waiting state, revision-checked mutations, and cancellation handling.]\n\n## Skill Version(s):\n\n1.0.0 (source: server release metadata)\n\n## Ethical Considerations:\n\nUsers should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment.","readmeExcerpt":"Skill: taskflow Owner: 1yihui Summary: Use when work should span one or more detached tasks but still behave like one job with a single owner context. TaskFlow is the durable flow substrate under... Tags: latest:1.0.0 Version history: v1.0.0 | 2026-04-28T07:29:17.829Z | user Initial release Archive index: Archive v1.0.0: 3 files, 3665 bytes Files: skill-card.md (1960b), SKILL.md (5109b), _meta.json (133b) File v1.0.0","codeSnippets":[],"executableExamples":[{"language":"ts","snippet":"const taskFlow = api.runtime.tasks.flow.fromToolContext(ctx);\n\nconst created = taskFlow.createManaged({\n  controllerId: \"my-plugin/inbox-triage\",\n  goal: \"triage inbox\",\n  currentStep: \"classify\",\n  stateJson: {\n    businessThreads: [],\n    personalItems: [],\n    eodSummary: [],\n  },\n});\n\nconst classify = taskFlow.runTask({\n  flowId: created.flowId,\n  runtime: \"acp\",\n  childSessionKey: \"agent:main:subagent:classifier\",\n  runId: \"inbox-classify-1\",\n  task: \"Classify inbox messages\",\n  status: \"running\",\n  startedAt: Date.now(),\n  lastEventAt: Date.now(),\n});\n\nif (!classify.created) {\n  throw new Error(classify.reason);\n}\n\nconst waiting = taskFlow.setWaiting({\n  flowId: created.flowId,\n  expectedRevision: created.revision,\n  currentStep: \"await_business_reply\",\n  stateJson: {\n    businessThreads: [\"slack:thread-1\"],\n    personalItems: [],\n    eodSummary: [],\n  },\n  waitJson: {\n    kind: \"reply\",\n    channel: \"slack\",\n    threadKey: \"slack:thread-1\",\n  },\n});\n\nif (!waiting.applied) {\n  throw new Error(waiting.code);\n}\n\nconst resumed = taskFlow.resume({\n  flowId: waiting.flow.flowId,\n  expectedRevision: waiting.flow.revision,\n  status: \"running\",\n  currentStep: \"finalize\",\n  stateJson: waiting.flow.stateJson,\n});\n\nif (!resumed.applied) {\n  throw new Error(resumed.code);\n}\n\ntaskFlow.finish({\n  flowId: resumed.flow.flowId,\n  expectedRevision: resumed.flow.revision,\n  stateJson: resumed.flow.stateJson,\n});"}],"parameters":null,"dependencies":[],"permissions":[],"extractedFiles":[{"path":"SKILL.md","content":"---\nname: taskflow\ndescription: Use when work should span one or more detached tasks but still behave like one job with a single owner context. TaskFlow is the durable flow substrate under authoring layers like Lobster, ACPX, plugins, or plain code. Keep conditional logic in the caller; use TaskFlow for flow identity, child-task linkage, waiting state, revision-checked mutations, and user-facing emergence.\nmetadata: { \"openclaw\": { \"emoji\": \"🪝\" } }\n---\ntags:\n  - workflow\n  - orchestration\n  - task-management\ncompatibility: openclaw\nlicense: MIT\n\n\n# TaskFlow\n\nUse TaskFlow when a job needs to outlive one prompt or one detached run, but you still want one owner session, one return context, and one place to inspect or resume the work.\n\n## When to use it\n\n- Multi-step background work with one owner\n- Work that waits on detached ACP or subagent tasks\n- Jobs that may need to emit one clear update back to the owner\n- Jobs that need small persisted state between steps\n- Plugin or tool work that must survive restarts and revision conflicts cleanly\n\n## What TaskFlow owns\n\n- flow identity\n- owner session and requester origin\n- `currentStep`, `stateJson`, and `waitJson`\n- linked child tasks and their parent flow id\n- finish, fail, cancel, waiting, and blocked state\n- revision tracking for conflict-safe mutations\n\nIt does **not** own branching or business logic. Put that in Lobster, acpx, or the calling code.\n\n## Current runtime shape\n\nCanonical plugin/runtime entrypoint:\n\n- `api.runtime.tasks.flow`\n- `api.runtime.taskFlow` still exists as an alias, but `api.runtime.tasks.flow` is the canonical shape\n\nBinding:\n\n- `api.runtime.tasks.flow.fromToolContext(ctx)` when you already have trusted tool context with `sessionKey`\n- `api.runtime.tasks.flow.bindSession({ sessionKey, requesterOrigin })` when your binding layer already resolved the session and delivery context\n\nManaged-flow lifecycle:\n\n1. `createManaged(...)`\n2. `runTask(...)`\n3. `setWaiting(...)` when waiting on a person or an external system\n4. `resume(...)` when work can continue\n5. `finish(...)` or `fail(...)`\n6. `requestCancel(...)` or `cancel(...)` when the whole job should stop\n\n## Design constraints\n\n- Use **managed** TaskFlows when your code owns the orchestration.\n- One-task **mirrored** flows are created by core runtime for detached ACP/subagent work; this skill is mainly about managed flows.\n- Treat `stateJson` as the persisted state bag. There is no separate `setFlowOutput` or `appendFlowOutput` API.\n- Every mutating method after creation is revision-checked. Carry forward the latest `flow.revision` after each successful mutation.\n- `runTask(...)` links the child task to the flow. Use it instead of manually creating detached tasks when you want parent orchestration.\n\n## Example shape\n\n```ts\nconst taskFlow = api.runtime.tasks.flow.fromToolContext(ctx);\n\nconst created = taskFlow.createManaged({\n  controllerId: \"my-plugin/inbox-triage\",\n  goal: \"triage inbox\",\n  currentStep: \"classify\",\n  stateJson"},{"path":"_meta.json","content":"{\n  \"ownerId\": \"kn75agxmr0x2w8x7206mwrwrwn85c6mz\",\n  \"slug\": \"yihui-taskflow\",\n  \"version\": \"1.0.0\",\n  \"publishedAt\": 1777361357829\n}"},{"path":"skill-card.md","content":"## Description:\n\nUse when work should span one or more detached tasks but still behave like one job with a single owner context.\n\nThis skill is ready for commercial/non-commercial use.\n\n## Publisher:\n\n[1yihui](https://clawhub.ai/user/1yihui)\n\n### License/Terms of Use:\n\nMIT-0\n\n## Use Case:\n\nDevelopers and agent builders use TaskFlow to coordinate durable multi-step work that can link detached child tasks, persist small resume state, wait on people or external systems, and return one owner-facing result.\n\n### Deployment Geography for Use:\n\nGlobal\n\n## Known Risks and Mitigations:\n\nRisk: Workflows can persist small state or waiting metadata that may include sensitive content if callers place it there.\n\nMitigation: Store only the minimum state required to resume, and avoid placing sensitive content in stateJson or waitJson unless it is necessary.\n\nRisk: Linked child tasks may continue running as part of durable multi-step work if cancellation is not handled deliberately.\n\nMitigation: Use requestCancel when scheduling should stop, use cancel when active linked child tasks should also be cancelled, and inspect task summaries during orchestration.\n\n## Reference(s):\n\n- [ClawHub skill page](https://clawhub.ai/1yihui/skills/yihui-taskflow)\n\n## Skill Output:\n\n**Output Type(s):** [guidance, code, configuration]\n\n**Output Format:** [Markdown guidance with TypeScript examples and API usage patterns]\n\n**Output Parameters:** [1D]\n\n**Other Properties Related to Output:** [Produces implementation guidance for durable flow identity, child-task linkage, waiting state, revision-checked mutations, and cancellation handling.]\n\n## Skill Version(s):\n\n1.0.0 (source: server release metadata)\n\n## Ethical Considerations:\n\nUsers should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment."}],"languages":[],"docsSourceLabel":"CLAWHUB","editorialOverview":"Use when work should span one or more detached tasks but still behave like one job with a single owner context. TaskFlow is the durable flow substrate under... Skill: taskflow Owner: 1yihui Summary: Use when work should span one or more detached tasks but still behave like one job with a single owner context. TaskFlow is the durable flow substrate under... Tags: latest:1.0.0 Version history: v1.0.0 | 2026-04-28T07:29:17.829Z | user Initial release Archive index: Archive v1.0.0: 3 files, 3665 bytes Files: skill-card.md (1960b), SKILL.md (5109b), _meta.json (133b) File v1.0.0","editorialQuality":{"score":100,"threshold":65,"status":"ready","wordCount":1068,"uniquenessScore":52,"reasons":[]}},"media":{"evidence":{"source":"no-media","verified":false,"confidence":"low","updatedAt":"2026-10-11T06:32:49.242Z","emptyReason":"No screenshots, media assets, or demo links are available."},"primaryImageUrl":null,"mediaAssetCount":0,"assets":[],"demoUrl":null},"ownerResources":{"evidence":{"source":"unclaimed","verified":false,"confidence":"low","updatedAt":"2026-10-11T06:32:49.242Z","emptyReason":"This page has not been claimed by the agent owner."},"hasCustomPage":false,"customPageUpdatedAt":null,"customLinks":[],"structuredLinks":{"docsUrl":null,"demoUrl":null,"supportUrl":null,"pricingUrl":null,"statusUrl":null},"customPage":null},"relatedAgents":{"evidence":{"source":"protocol-neighbors","verified":false,"confidence":"medium","updatedAt":"2026-10-11T08:40:47.822Z","emptyReason":null},"items":[{"id":"8ebccd8e-3863-4187-8355-c3f14e1f9edf","entityType":"agent","canonicalPath":"/agent/iofficeai-aionui","slug":"iofficeai-aionui","name":"AionUi","description":"Free, local, open-source 24/7 Cowork app and OpenClaw for Gemini CLI, Claude Code, Codex, OpenCode, Qwen Code, Goose CLI, Auggie, and more | 🌟 Star if you like it!","url":"https://github.com/iOfficeAI/AionUi","homepage":"https://www.aionui.com","source":"GITHUB_REPOS","protocols":["MCP","OPENCLAW"],"capabilities":[],"safetyScore":100,"overallRank":70,"updatedAt":"2026-10-09T19:11:12.944Z","createdAt":"2026-02-25T03:38:16.584Z","downloads":null},{"id":"b917f68a-ebff-438e-84f8-3f4b2494c0bc","entityType":"agent","canonicalPath":"/agent/activepieces-activepieces","slug":"activepieces-activepieces","name":"activepieces","description":"AI Agents & MCPs & AI Workflow Automation • (~400 MCP servers for AI agents) • AI Automation / AI Agent with MCPs • AI Workflows & AI Agents • MCPs for AI Agents","url":"https://github.com/activepieces/activepieces","homepage":"https://www.activepieces.com","source":"GITHUB_REPOS","protocols":["OPENCLAW"],"capabilities":[],"safetyScore":100,"overallRank":70,"updatedAt":"2026-04-15T02:22:12.426Z","createdAt":"2026-02-25T03:38:12.412Z","downloads":null},{"id":"5cb26759-3a39-483f-94cf-276a98c13bb8","entityType":"agent","canonicalPath":"/agent/cherryhq-cherry-studio","slug":"cherryhq-cherry-studio","name":"cherry-studio","description":"AI productivity studio with smart chat, autonomous agents, and 300+ assistants. 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