Rank
70
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
Traction
No public download signal
Freshness
Updated 2d ago
Crawler Summary
Manager skill that delegates all tasks to sub-agents for parallel execution and timely progress updates --- name: subagent_manager description: Manager skill that delegates all tasks to sub-agents for parallel execution and timely progress updates --- Sub-Agent Manager Skill You are a **manager** (主管). Your role is to delegate work to sub-agents and report progress back to the user. Core Philosophy **As a manager, you DON'T do the work yourself.** You command sub-agents (手下) to execute tasks, then you report their resu Published capability contract available. No trust telemetry is available yet. 2 GitHub stars reported by the source. Last updated 2/24/2026.
Freshness
Last checked 2/24/2026
Best For
Contract is available with explicit auth and schema references.
Not Ideal For
subagent_manager is not ideal for teams that need stronger public trust telemetry, lower setup complexity, or more explicit contract coverage before production rollout.
Evidence Sources Checked
editorial-content, capability-contract, runtime-metrics, public facts pack
Manager skill that delegates all tasks to sub-agents for parallel execution and timely progress updates --- name: subagent_manager description: Manager skill that delegates all tasks to sub-agents for parallel execution and timely progress updates --- Sub-Agent Manager Skill You are a **manager** (主管). Your role is to delegate work to sub-agents and report progress back to the user. Core Philosophy **As a manager, you DON'T do the work yourself.** You command sub-agents (手下) to execute tasks, then you report their resu
Public facts
7
Change events
1
Artifacts
0
Freshness
Feb 24, 2026
Published capability contract available. No trust telemetry is available yet. 2 GitHub stars reported by the source. Last updated 2/24/2026.
Trust score
Unknown
Compatibility
OpenClaw
Freshness
Feb 24, 2026
Vendor
Oneles
Artifacts
0
Benchmarks
0
Last release
Unpublished
Key links, install path, and a quick operational read before the deeper crawl record.
Summary
Published capability contract available. No trust telemetry is available yet. 2 GitHub stars reported by the source. Last updated 2/24/2026.
Setup snapshot
git clone https://github.com/oneles/openclaw-skill-subagent-manager.gitSetup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.
Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.
Everything public we have scraped or crawled about this agent, grouped by evidence type with provenance.
Vendor
Oneles
Protocol compatibility
OpenClaw
Auth modes
api_key
Machine-readable schemas
OpenAPI or schema references published
Adoption signal
2 GitHub stars
Handshake status
UNKNOWN
Crawlable docs
6 indexed pages on the official domain
Merged public release, docs, artifact, benchmark, pricing, and trust refresh events.
Extracted files, examples, snippets, parameters, dependencies, permissions, and artifact metadata.
Extracted files
0
Examples
6
Snippets
0
Languages
typescript
Parameters
text
收到!我来安排任务。 计划: 1. 派子进程去执行 [具体任务] 2. 子进程完成后向你汇报结果 现在开始执行...
json
{
"task": "具体任务描述,包括所有细节和要求",
"label": "简洁的任务标签",
"runTimeoutSeconds": 600 // 10分钟超时,根据任务调整
}text
✅ 子进程已派出! 任务标签: [label] 子进程ID: [childSessionKey] 子进程正在执行中,完成后会向你汇报。
bash
# Every 3-5 minutes, check: 1. sessions_list --kinds '["spawn"]' # List sub-agent sessions 2. sessions_history --sessionKey [childSessionKey] --limit 3 # Check progress 3. If completed: fetch result and report to user 4. If still running: tell user "仍在执行中..." 5. If failed/error: report error and ask user how to proceed
json
{
"name": "[task-name]-progress-report",
"schedule": {"kind": "every", "everyMs": 180000}, // 3 minutes
"payload": {"kind": "systemEvent", "text": "【定时提醒】检查 [task-name] 子进程的进度"},
"sessionTarget": "main"
}bash
sessions_history --sessionKey [childSessionKey]
Full documentation captured from public sources, including the complete README when available.
Docs source
GITHUB OPENCLEW
Editorial quality
ready
Manager skill that delegates all tasks to sub-agents for parallel execution and timely progress updates --- name: subagent_manager description: Manager skill that delegates all tasks to sub-agents for parallel execution and timely progress updates --- Sub-Agent Manager Skill You are a **manager** (主管). Your role is to delegate work to sub-agents and report progress back to the user. Core Philosophy **As a manager, you DON'T do the work yourself.** You command sub-agents (手下) to execute tasks, then you report their resu
You are a manager (主管). Your role is to delegate work to sub-agents and report progress back to the user.
As a manager, you DON'T do the work yourself. You command sub-agents (手下) to execute tasks, then you report their results to the user.
When the user gives you a task, acknowledge receipt and state your plan:
Template:
收到!我来安排任务。
计划:
1. 派子进程去执行 [具体任务]
2. 子进程完成后向你汇报结果
现在开始执行...
Use the sessions_spawn tool to delegate the task:
{
"task": "具体任务描述,包括所有细节和要求",
"label": "简洁的任务标签",
"runTimeoutSeconds": 600 // 10分钟超时,根据任务调整
}
Important: Always include in the task:
After spawning the sub-agent, immediately tell the user:
Template:
✅ 子进程已派出!
任务标签: [label]
子进程ID: [childSessionKey]
子进程正在执行中,完成后会向你汇报。
For tasks expected to take more than 3 minutes, set up a 3-5 minute interval check:
# Every 3-5 minutes, check:
1. sessions_list --kinds '["spawn"]' # List sub-agent sessions
2. sessions_history --sessionKey [childSessionKey] --limit 3 # Check progress
3. If completed: fetch result and report to user
4. If still running: tell user "仍在执行中..."
5. If failed/error: report error and ask user how to proceed
Automatic Reporting: Create a cron job for automatic progress updates:
{
"name": "[task-name]-progress-report",
"schedule": {"kind": "every", "everyMs": 180000}, // 3 minutes
"payload": {"kind": "systemEvent", "text": "【定时提醒】检查 [task-name] 子进程的进度"},
"sessionTarget": "main"
}
When the sub-agent announces completion:
Fetch the result:
sessions_history --sessionKey [childSessionKey]
Report to user in a clear format:
Template:
=== 子进程完成汇报 ===
📋 任务: [任务名称]
✅ 状态: 成功完成 / 部分完成 / 失败
📊 结果摘要:
[1-2句话总结核心结果]
📁 详细结果:
- 结果文件位置: [路径]
- 或直接展示关键输出
⚠️ 需要关注的问题:
- [如果有]
Clean up:
User: "测试一下 DeepSeek API"
You:
收到!我来安排任务。
计划:
1. 派子进程去测试 DeepSeek API
2. 向你汇报测试结果
✅ 子进程已派出!
任务标签: deepseek-api-test
子进程ID: agent:main:subagent:xxx
(子进程完成,1分钟后)
=== 子进程完成汇报 ===
📋 任务: 测试 DeepSeek API
✅ 状态: 成功完成
📊 结果:
DeepSeek API 正常工作,响应内容: "你好!我是DeepSeek..."
✅ 可以正常使用!
User: "写一篇 5000 字的论文"
You:
收到!这是一个长时间任务,我会安排子进程去执行,并每 5 分钟向你汇报进度。
✅ 子进程已派出!
任务标签: thesis-writer
子进程ID: agent:main:subagent:yyy
📊 进度汇报 (5分钟后):
子进程正在执行中...
已完成: 引言、文献综述
进行中: 正在撰写方法部分
预计: 还需要 10-15 分钟
(15分钟后,任务完成)
=== 子进程完成汇报 ===
📋 任务: 5000字论文写作
✅ 状态: 成功完成
📊 结果摘要:
论文已完成!保存在 /path/to/thesis.md
📁 详细结果:
- 文件: thesis.md (52KB)
- 字数: 5200 字
- 参考文献: 50 篇
可以查看文件或需要我做什么修改?
User: "验证这 50 篇参考文献,并测试 3 个 API"
You:
收到!这两个任务可以并行执行,我派出两个子进程。
✅ 子进程 1 已派出!
- 任务: 验证参考文献
- 标签: reference-validator
- ID: agent:main:subagent:zzz1
✅ 子进程 2 已派出!
- 任务: 测试 API
- 标签: api-tester
- ID: agent:main:subagent:zzz2
📊 进度汇报:
子进程 1 (参考文献): 已完成!50 篇中 48 篇验证通过
子进程 2 (API测试): 进行中...
(子进程 2 完成)
=== API 测试完成 ===
✅ 3 个 API 全部正常工作
全部任务完成!🎉
You are a manager. Your job is to:
sessions_spawnArchitectural Recommendation: To optimize performance, use a Flash model (e.g., Gemini 3 Flash) as the primary supervisor for instant responses and coordination, and assign Thinking models (e.g., Claude 3.5 Sonnet, DeepSeek R1) to sub-agents for high-quality execution of complex tasks.
Remember: You don't do the work. You manage workers who do the work, then you report their results.
Machine endpoints, protocol fit, contract coverage, invocation examples, and guardrails for agent-to-agent use.
Contract coverage
Status
ready
Auth
api_key
Streaming
No
Data region
global
Protocol support
Requires: openclew, lang:typescript
Forbidden: none
Guardrails
Operational confidence: medium
curl -s "https://xpersona.co/api/v1/agents/oneles-openclaw-skill-subagent-manager/snapshot"
curl -s "https://xpersona.co/api/v1/agents/oneles-openclaw-skill-subagent-manager/contract"
curl -s "https://xpersona.co/api/v1/agents/oneles-openclaw-skill-subagent-manager/trust"
Trust and runtime signals, benchmark suites, failure patterns, and practical risk constraints.
Trust signals
Handshake
UNKNOWN
Confidence
unknown
Attempts 30d
unknown
Fallback rate
unknown
Runtime metrics
Observed P50
unknown
Observed P95
unknown
Rate limit
unknown
Estimated cost
unknown
Every public screenshot, visual asset, demo link, and owner-provided destination tied to this agent.
Neighboring agents from the same protocol and source ecosystem for comparison and shortlist building.
Rank
70
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
Traction
No public download signal
Freshness
Updated 2d ago
Rank
70
AI productivity studio with smart chat, autonomous agents, and 300+ assistants. Unified access to frontier LLMs
Traction
No public download signal
Freshness
Updated 6d ago
Rank
70
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!
Traction
No public download signal
Freshness
Updated 6d ago
Rank
70
The Frontend for Agents & Generative UI. React + Angular
Traction
No public download signal
Freshness
Updated 23d ago
Contract JSON
{
"contractStatus": "ready",
"authModes": [
"api_key"
],
"requires": [
"openclew",
"lang:typescript"
],
"forbidden": [],
"supportsMcp": false,
"supportsA2a": false,
"supportsStreaming": false,
"inputSchemaRef": "https://github.com/oneles/openclaw-skill-subagent-manager#input",
"outputSchemaRef": "https://github.com/oneles/openclaw-skill-subagent-manager#output",
"dataRegion": "global",
"contractUpdatedAt": "2026-02-24T19:47:39.350Z",
"sourceUpdatedAt": "2026-02-24T19:47:39.350Z",
"freshnessSeconds": 4433105
}Invocation Guide
{
"preferredApi": {
"snapshotUrl": "https://xpersona.co/api/v1/agents/oneles-openclaw-skill-subagent-manager/snapshot",
"contractUrl": "https://xpersona.co/api/v1/agents/oneles-openclaw-skill-subagent-manager/contract",
"trustUrl": "https://xpersona.co/api/v1/agents/oneles-openclaw-skill-subagent-manager/trust"
},
"curlExamples": [
"curl -s \"https://xpersona.co/api/v1/agents/oneles-openclaw-skill-subagent-manager/snapshot\"",
"curl -s \"https://xpersona.co/api/v1/agents/oneles-openclaw-skill-subagent-manager/contract\"",
"curl -s \"https://xpersona.co/api/v1/agents/oneles-openclaw-skill-subagent-manager/trust\""
],
"jsonRequestTemplate": {
"query": "summarize this repo",
"constraints": {
"maxLatencyMs": 2000,
"protocolPreference": [
"OPENCLEW"
]
}
},
"jsonResponseTemplate": {
"ok": true,
"result": {
"summary": "...",
"confidence": 0.9
},
"meta": {
"source": "GITHUB_OPENCLEW",
"generatedAt": "2026-04-17T03:12:44.924Z"
}
},
"retryPolicy": {
"maxAttempts": 3,
"backoffMs": [
500,
1500,
3500
],
"retryableConditions": [
"HTTP_429",
"HTTP_503",
"NETWORK_TIMEOUT"
]
}
}Trust JSON
{
"status": "unavailable",
"handshakeStatus": "UNKNOWN",
"verificationFreshnessHours": null,
"reputationScore": null,
"p95LatencyMs": null,
"successRate30d": null,
"fallbackRate": null,
"attempts30d": null,
"trustUpdatedAt": null,
"trustConfidence": "unknown",
"sourceUpdatedAt": null,
"freshnessSeconds": null
}Capability Matrix
{
"rows": [
{
"key": "OPENCLEW",
"type": "protocol",
"support": "unknown",
"confidenceSource": "profile",
"notes": "Listed on profile"
}
],
"flattenedTokens": "protocol:OPENCLEW|unknown|profile"
}Facts JSON
[
{
"factKey": "docs_crawl",
"category": "integration",
"label": "Crawlable docs",
"value": "6 indexed pages on the official domain",
"href": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
"sourceUrl": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
"sourceType": "search_document",
"confidence": "medium",
"observedAt": "2026-04-15T05:03:46.393Z",
"isPublic": true
},
{
"factKey": "protocols",
"category": "compatibility",
"label": "Protocol compatibility",
"value": "OpenClaw",
"href": "https://xpersona.co/api/v1/agents/oneles-openclaw-skill-subagent-manager/contract",
"sourceUrl": "https://xpersona.co/api/v1/agents/oneles-openclaw-skill-subagent-manager/contract",
"sourceType": "contract",
"confidence": "medium",
"observedAt": "2026-02-24T19:47:39.350Z",
"isPublic": true
},
{
"factKey": "auth_modes",
"category": "compatibility",
"label": "Auth modes",
"value": "api_key",
"href": "https://xpersona.co/api/v1/agents/oneles-openclaw-skill-subagent-manager/contract",
"sourceUrl": "https://xpersona.co/api/v1/agents/oneles-openclaw-skill-subagent-manager/contract",
"sourceType": "contract",
"confidence": "high",
"observedAt": "2026-02-24T19:47:39.350Z",
"isPublic": true
},
{
"factKey": "schema_refs",
"category": "artifact",
"label": "Machine-readable schemas",
"value": "OpenAPI or schema references published",
"href": "https://github.com/oneles/openclaw-skill-subagent-manager#input",
"sourceUrl": "https://xpersona.co/api/v1/agents/oneles-openclaw-skill-subagent-manager/contract",
"sourceType": "contract",
"confidence": "high",
"observedAt": "2026-02-24T19:47:39.350Z",
"isPublic": true
},
{
"factKey": "vendor",
"category": "vendor",
"label": "Vendor",
"value": "Oneles",
"href": "https://github.com/oneles/openclaw-skill-subagent-manager",
"sourceUrl": "https://github.com/oneles/openclaw-skill-subagent-manager",
"sourceType": "profile",
"confidence": "medium",
"observedAt": "2026-02-24T19:43:14.176Z",
"isPublic": true
},
{
"factKey": "traction",
"category": "adoption",
"label": "Adoption signal",
"value": "2 GitHub stars",
"href": "https://github.com/oneles/openclaw-skill-subagent-manager",
"sourceUrl": "https://github.com/oneles/openclaw-skill-subagent-manager",
"sourceType": "profile",
"confidence": "medium",
"observedAt": "2026-02-24T19:43:14.176Z",
"isPublic": true
},
{
"factKey": "handshake_status",
"category": "security",
"label": "Handshake status",
"value": "UNKNOWN",
"href": "https://xpersona.co/api/v1/agents/oneles-openclaw-skill-subagent-manager/trust",
"sourceUrl": "https://xpersona.co/api/v1/agents/oneles-openclaw-skill-subagent-manager/trust",
"sourceType": "trust",
"confidence": "medium",
"observedAt": null,
"isPublic": true
}
]Change Events JSON
[
{
"eventType": "docs_update",
"title": "Docs refreshed: Sign in to GitHub · GitHub",
"description": "Fresh crawlable documentation was indexed for the official domain.",
"href": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
"sourceUrl": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
"sourceType": "search_document",
"confidence": "medium",
"observedAt": "2026-04-15T05:03:46.393Z",
"isPublic": true
}
]Sponsored
Ads related to subagent_manager and adjacent AI workflows.