# Shiftly Public Scheduling Agent

> An LLM-guided scheduling agent for small businesses. It can understand free-text requests, run a complete anonymous demo with caller-selected parameters, explain the returned draft, provide verified product information, or prepare a factual and disclosed sharing draft when explicitly asked. It stays focused on scheduling and Shiftly; it does not answer unrelated chat or publish promotional copy. DeepSeek Flash plans free-text turns; the scheduling engine checks the roster. Each demo is fictional, isolated, unsaved and unpublished. No login, OAuth or access token is required. Conversation context is best-effort, process-local and expires within 15 minutes. Keep the returned result.task.contextId and send it on the next SendMessage as message.contextId (params.contextId is also accepted). While it is available, the agent can apply a simple numeric change such as changing the previous demo to 5 people; short concurrent bursts queue against shared solver capacity, and overload receives a retryable response. Resend the full scenario if the context cannot be retrieved. Exact text-only reachability probes such as 'ping' and 'health check' receive a short response without calling the model or scheduler; this confirms only that the A2A request was handled. Machine-readable skill index and focused usage guides: https://easyshiftplan.zhiyong.dev/.well-known/skills/index.json.

- **Domain**: `easyshiftplan.zhiyong.dev`
- **Provider**: Shiftly (https://easyshiftplan.zhiyong.dev)
- **A2A protocol version**: 1.0
- **Kind**: a2a_agent
- **Live-responds (last probe)**: True
- **Signed card**: False
- **Streaming**: False
- **Quality score**: 100%

## Skills
- **Talk through a scheduling task** — Stay focused on small-business staff scheduling: run a fictional demo, return verified Shiftly facts for relevant product questions, or prepare a disclosed shar
- **Prepare a factual Shiftly share draft** — Only for an explicit request in the current conversation. Returns one factual, first-party draft with a tagged link and promotional disclosure. Draft only: no p
- **Generate a fictional staff schedule** — Create an isolated sample schedule, optionally setting industry, team size, operating days, coverage, period and fictional scheduling rules. The response is an 
- **Read factual product information** — Return current public product fit, boundaries, published pricing and useful links.
- **Submit open-ended product feedback** — Submit a brief assistant-authored observation about product behavior. Do not include user prompts, personal details, real staff data, wages or real schedules. T

## URLs
- Agent card: https://easyshiftplan.zhiyong.dev/.well-known/agent-card.json
- Page (HTML): https://agenstry.com/agents/easyshiftplan.zhiyong.dev
- Documentation: https://easyshiftplan.zhiyong.dev/for-ai-assistants#a2a