# AI Progress Workspace

> 为长运行 AI 任务实现真实事件驱动的进度界面和可编辑产物。

- Skill: `bronc-x/ai-progress-workspace` (Agent Skill, multi-file: 3 files)
- Install (CLI): `npx skillmds@latest add bronc-x/ai-progress-workspace`
- Raw SKILL.md: https://api.skillmd.com/api/skills/bronc-x/ai-progress-workspace/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- Author: bronc-x (https://skillmd.com/u/bronc-x)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/bronc-x/ai-progress-workspace

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# AI progress workspace

Use this skill when the product needs a central editable artifact and a truthful view of long-running AI work. Do not use it for decorative loaders or ordinary request/response chat.

## Route

- For event names, persistence, replay, cancellation, and failure semantics: read [references/event-contract.md](references/event-contract.md).
- For choosing an editor or canvas and wiring tools to artifacts: read [references/workspace-implementation.md](references/workspace-implementation.md).

Load both only when implementing the end-to-end system.

## Invariants

- Display only observable work: a job, tool call, API operation, artifact mutation, failure, retry, approval, or completion event.
- Never present private model reasoning or invented exact percentages as telemetry.
- Give jobs, events, artifacts, and tool calls stable IDs. Persist enough state to restore after refresh and replay missed events.
- Insert model output into the workspace through validated structured data, not unparsed prose.
- Long-running work needs cancellation, recoverable failure states, and idempotent retry behavior appropriate to its side effects.
- Prefer the existing application stack and the simplest orchestration model that satisfies the workflow.

Completion means a real job updates the progress surface and editable artifact, refresh/replay works, cancellation and a forced failure behave safely, invalid artifacts are rejected, and all affected paths pass after fixes and rechecks.

