taskflow-inbox-triage
Skill5.7k starsChanged 37 days agoApache-2.0View on GitHub
Example TaskFlow authoring pattern for inbox triage. Use when messages need different treatment based on intent, with some routes notifying immediately, some waiting on outside answers, and others rolling into a later summary.
5 other projects use a version of this, 3 of them edited.
Trending
Quiet since September.about the whole repository
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- QVerisAI/QVerisBotword for word, first seen Nov 1, 2026
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- casibase/casibaseword for word, first seen Oct 8, 2026
- spinabot/brigadeedited, first seen Oct 8, 2026
- OpenGitCode/OpenShelledited, first seen Apr 21, 2026
Who's talking about the-open-agent/openagent
- @golangoss.bsky.social“openagent (⭐️ 5515) ⚡️next-generation personal AI assistant powered by LLM, RAG and agent loops, supporting …”Bluesky · Aug 16, 2026 · 2 likes
- @golangoss.bsky.social“openagent (⭐️ 5334) ⚡️next-generation personal AI assistant powered by LLM, RAG and agent loops, supporting …”Bluesky · Jul 4, 2026 · 1 likes
- @golangoss.bsky.social“openagent (⭐️ 5309) ⚡️next-generation personal AI assistant powered by LLM, RAG and agent loops, supporting …”Bluesky · Jun 27, 2026 · 1 likes
- @golangoss.bsky.social“openagent (⭐️ 5086) ⚡️next-generation personal AI assistant powered by LLM, RAG and agent loops, supporting …”Bluesky · May 30, 2026 · 1 likes
- Shubhamsaboo/awesome-llm-apps“Add OpenAgent — self-hostable AI assistant platform with LLM, RAG, agent loops & MCP”GitHub · May 3, 2026 · 1 reactions
The biggest 5 of 30 mentions linking to the repository that our crawl found. Each line is their own headline.
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Talked about on GitHub and Bluesky (30 times).
On GitHub · 26
- May 3, 2026Add OpenAgent — self-hostable AI assistant platform with LLM, RAG, agent loops & MCP — Shubhamsaboo/awesome-llm-apps1 reaction · 1 comment
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- Jul 5, 2026feat: add SendNotification API — casdoor/casdoor-go-sdk0 reactions
- Jun 24, 2026[feature] remove Conf.js config — casosorg/casos0 reactions · 1 comment
- Jun 6, 2026[Add] Casibase / OpenAgent (the-open-agent/openagent) — PyTorchKR/landscape0 reactions
- May 26, 2026【开源自荐】OpenAgent:一个二进制文件跑起来的 AI Agent 平台(4900+ Star) — ruanyf/weekly0 reactions · 1 comment
- May 18, 2026feat: add shell tool for command execution and background sessions — AidenAI-IO/aico-link0 reactions · 1 comment
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- May 3, 2026Add OpenAgent — open-source personal AI assistant with LLM, RAG, agent loops & MCP — e2b-dev/awesome-ai-agents0 reactions · 2 comments
- Apr 26, 2026[Trend Scout] the-open-agent/openagent — magicpro97/copilot-session-knowledge0 reactions · 1 comment
On Bluesky · 4
- Aug 16, 2026openagent (⭐️ 5515) ⚡️next-generation personal AI assistant powered by LLM, RAG and agent loops, supporting computer-use, browser-use and… — @golangoss.bsky.social2 likes and reposts
- Jul 4, 2026openagent (⭐️ 5334) ⚡️next-generation personal AI assistant powered by LLM, RAG and agent loops, supporting computer-use, browser-use and… — @golangoss.bsky.social1 likes and repost
- Jun 27, 2026openagent (⭐️ 5309) ⚡️next-generation personal AI assistant powered by LLM, RAG and agent loops, supporting computer-use, browser-use and… — @golangoss.bsky.social1 likes and repost
- May 30, 2026openagent (⭐️ 5086) ⚡️next-generation personal AI assistant powered by LLM, RAG and agent loops, supporting computer-use, browser-use and… — @golangoss.bsky.social1 likes and repost
Other versions5 projects use a version of this.
Word for word · 2
- casibase/casibase★ 5.7k100% same
- QVerisAI/QVerisBot★ 184100% same
Edited · 3
- spinabot/brigade★ 11k98% same
- AtomicBot-ai/atomicbot★ 325100% same
- OpenGitCode/OpenShell★ 098% same
Wrote their own version · 0
None found.
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository54 other files it gives its agents.
- CLAUDE.mdCLAUDE.md
- 1passwordSkill
- apple-notesSkill
- apple-remindersSkill
- bear-notesSkill
- blogwatcherSkill
- blucliSkill
- bluebubblesSkill
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- canvasSkill
- clawhubSkill
- coding-agentSkill
- discordSkill
- eightctlSkill
- geminiSkill
- gh-issuesSkill
- gifgrepSkill
- githubSkill
- gogSkill
- goplacesSkill
- healthcheckSkill
- himalayaSkill
- imsgSkill
- mcporterSkill
- model-usageSkill
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- openai-whisper-apiSkill
- openai-whisperSkill
- openhueSkill
- oracleSkill
- ordercliSkill
- peekabooSkill
- powerpointSkill
- sagSkill
- session-logsSkill
- sherpa-onnx-ttsSkill
- skill-creatorSkill
- slackSkill
- songseeSkill
- sonoscliSkill
- spotify-playerSkill
- summarizeSkill
- taskflowSkill
- things-macSkill
- tmuxSkill
- trelloSkill
- video-framesSkill
- voice-callSkill
- wacliSkill
- weatherSkill
- xurlSkill
The file
We split this skill into the rules it gives an agent
2 rules. 2 are common, 0 are distinctive, and 0 are very specific to this project.
2
Common
Most of the 3 edited versions we read keep these.
0
Distinctive
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Common: line 21
Create one flow for the inbox batch.
- Common: line 22
Run one detached task to classify new items.
“Common” is measured: kept by at least 6 in 10 of the 3 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
TaskFlow inbox triage
This is a concrete example of how to think about TaskFlow without turning the core runtime into a DSL.
Goal
Triage inbox items with one owner flow:
- business → post to Slack and wait for reply
- personal → notify the owner now
- everything else → keep for end-of-day summary
Pattern
- Create one flow for the inbox batch.
- Run one detached task to classify new items.
- Persist the routing state in
stateJson. - Move to
waitingonly when an outside reply is required. - Resume the flow when classification or human input completes.
- Finish when the batch has been routed.
Suggested stateJson shape
{
"businessThreads": [],
"personalItems": [],
"eodSummary": []
}Suggested waitJson when blocked on Slack:
{
"kind": "reply",
"channel": "slack",
"threadKey": "slack:thread-1"
}Minimal runtime calls
const taskFlow = api.runtime.tasks.flow.fromToolContext(ctx);
const created = taskFlow.createManaged({
controllerId: "my-plugin/inbox-triage",
goal: "triage inbox",
currentStep: "classify",
stateJson: {
businessThreads: [],
personalItems: [],
eodSummary: [],
},
});
const child = taskFlow.runTask({
flowId: created.flowId,
runtime: "acp",
childSessionKey: "agent:main:subagent:classifier",
task: "Classify inbox messages",
status: "running",
startedAt: Date.now(),
lastEventAt: Date.now(),
});
if (!child.created) {
throw new Error(child.reason);
}
const waiting = taskFlow.setWaiting({
flowId: created.flowId,
expectedRevision: created.revision,
currentStep: "await_business_reply",
stateJson: {
businessThreads: ["slack:thread-1"],
personalItems: [],
eodSummary: [],
},
waitJson: {
kind: "reply",
channel: "slack",
threadKey: "slack:thread-1",
},
});
if (!waiting.applied) {
throw new Error(waiting.code);
}
const resumed = taskFlow.resume({
flowId: waiting.flow.flowId,
expectedRevision: waiting.flow.revision,
status: "running",
currentStep: "route_items",
stateJson: waiting.flow.stateJson,
});
if (!resumed.applied) {
throw new Error(resumed.code);
}
taskFlow.finish({
flowId: resumed.flow.flowId,
expectedRevision: resumed.flow.revision,
stateJson: resumed.flow.stateJson,
});Related example
skills/taskflow/examples/inbox-triage.lobster
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

