飞书群聊多Agent消息通讯。解决多Bot协作时的消息流转问题,支持群聊@通知、私聊消息、用户ID映射。
- Category
- feishu
- Installs
- 25.8K
- Stars
- 258
- Reviews
- 515
Team-friendly picks for collaboration-heavy building agentic workflows, orchestration layers, and AI task systems.
Matched skills
30
Real skills currently mapped into this landing page cluster.
Average security
75.9
A quick trust signal across the skills currently surfaced here.
Combined installs
26.1K
Adoption signal across the skills shown on this page.
Team-oriented AI Agents searches usually care about onboarding, collaboration, and reliability. This page targets that angle while still using the shared SkillsReview ranking and trust system underneath.
It also gives SkillsReview a scalable ai agents cluster that can later expand into narrower long-tail pages without changing the route structure. That gives the rollout audience-specific coverage without having to fork the entire page architecture for every new modifier.
Ranked with live SkillsReview data and linked into detail pages that can convert search traffic into actual usage.
Combine security, update window, activity, and reputation filters. The current filter state stays in the query string so this category view is shareable.
飞书群聊多Agent消息通讯。解决多Bot协作时的消息流转问题,支持群聊@通知、私聊消息、用户ID映射。
OpenClaw skill indexed by SkillsReview.
OpenClaw skill indexed by SkillsReview.
OpenClaw skill indexed by SkillsReview.
OpenClaw skill indexed by SkillsReview.
OpenClaw skill indexed by SkillsReview.
OpenClaw skill indexed by SkillsReview.
OpenClaw skill indexed by SkillsReview.
OpenClaw skill indexed by SkillsReview.
Local text-to-speech via sherpa-onnx (offline, no cloud)
OpenClaw skill indexed by SkillsReview.
OpenClaw skill indexed by SkillsReview.
OpenClaw skill indexed by SkillsReview.
OpenClaw skill indexed by SkillsReview.
OpenClaw skill indexed by SkillsReview.
OpenClaw skill indexed by SkillsReview.
OpenClaw skill indexed by SkillsReview.
OpenClaw skill indexed by SkillsReview.
OpenClaw skill indexed by SkillsReview.
OpenClaw skill indexed by SkillsReview.
OpenClaw skill indexed by SkillsReview.
OpenClaw skill indexed by SkillsReview.
OpenClaw skill indexed by SkillsReview.
OpenClaw skill indexed by SkillsReview.
OpenClaw skill indexed by SkillsReview.
OpenClaw skill indexed by SkillsReview.
OpenClaw skill indexed by SkillsReview.
OpenClaw skill indexed by SkillsReview.
OpenClaw skill indexed by SkillsReview.
OpenClaw skill indexed by SkillsReview.
Internal comparison links help users evaluate adjacent options and give search engines deeper crawlable structure.
These curated comparison pages are the higher-intent next step after a user lands on this hub and wants a tighter decision surface.
A coding-cluster comparison for users picking a code-generation or developer-workflow skill and wanting a fast side-by-side decision surface.
Compare two browser-control skills when you need site interaction, scraping, QA flows, or repeatable browser automation inside OpenClaw.
A search-focused comparison page for users choosing between web-search-oriented skills for research, discovery, and live information gathering.
This internal-link graph is the scalable part of the rollout: each new template adds more crawlable surfaces without hand-copying content.
Skills focused on models, LLM workflows, prompts, transcription, and AI-native automation.
Developer-focused skills for code generation, review, debugging, and local repo workflows.
For TTS, audio processing, video workflows, and media automation.
A focused list for users searching for code generation, repo automation, and developer workflow skills.
Repo automation, PR workflows, CI integrations, and version-control helpers.
Skills for building agentic workflows, orchestration layers, and AI task systems.
Automation-focused picks for building agentic workflows, orchestration layers, and AI task systems.
Skills built for repeatable ai agents workflows and multi-step execution.
Ranking-focused view of building agentic workflows, orchestration layers, and AI task systems.
Integration-focused picks for building agentic workflows, orchestration layers, and AI task systems.
On this page, team-friendly usually means the skill maps well to shared workflows, predictable handoffs, and trust signals that matter when more than one person relies on the tool.
Because “for teams” is a real modifier users search with, and the shared matrix makes it possible to cover that modifier without publishing thin, disconnected pages.