Resource suggestion: TANCO Skills for agent memory and handoff workflows

[tancoai]

Resource suggestion: TANCO Skills for agent memory, handoff, and long-horizon execution

TANCO SkillHub:

https://skillhub.cn/enterprise/org-j3zmzop1?publisher=%E5%94%90%E5%8F%AF%E5%88%9B%E7%A0%94

This is a resource suggestion for agent-memory / long-horizon-agent collections. TANCO SkillHub publishes reusable workflow Skills for AI agents. The most relevant ones for this topic are:

Chuandeng — handoff memory Skill

Concrete service case:

• A task spans multiple agents, sessions, or days.
• Chuandeng preserves target, constraints, current state, decisions already made, open risks, and the next action.
• The next agent can continue from a compact, inspectable handoff instead of reconstructing the whole conversation.
• Useful for long-running research, coding, operations, and multi-agent execution.

Lianzhu — chained execution Skill

Concrete service case:

• A complex task cannot be solved by one prompt.
• Lianzhu confirms the goal, splits the work, executes step by step, verifies outputs, and continues when the result is incomplete.
• Useful for long-horizon agent workflows where progress, state, and verification matter more than a single answer.

Chayan — signal-review Skill

Concrete service case:

• The input is messy: notes, logs, feedback, alerts, research snippets, or conflicting user intent.
• Chayan separates signal from noise, groups risks and actions, and turns the result into a decision-ready next-step brief.
• Useful before memory write, task routing, or agent handoff.

Related paid-workflow Skill:

Tencent SkillHub Pay Adapter:
https://skillhub.cn/team-skills/tencent-skillhub-pay-adapter

Why it may be useful here:

• paid Skill workflows need clear boundaries between draft, submission, approval, payment, fulfillment, settlement, and funds;
• those states are exactly the kind of context an agent handoff or memory layer must preserve safely.

Public reference repo:

https://github.com/tancoai/tangke-skillhub