longrun-resume
Resume the latest or a specified long-running Copilot CLI mission from .copilot-mission-control/ without restarting completed work. Use when the user asks to continue, resume, or cleanly converge a previous /longrun run.
Best use case
longrun-resume is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Resume the latest or a specified long-running Copilot CLI mission from .copilot-mission-control/ without restarting completed work. Use when the user asks to continue, resume, or cleanly converge a previous /longrun run.
Teams using longrun-resume should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/longrun-resume/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How longrun-resume Compares
| Feature / Agent | longrun-resume | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Resume the latest or a specified long-running Copilot CLI mission from .copilot-mission-control/ without restarting completed work. Use when the user asks to continue, resume, or cleanly converge a previous /longrun run.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
用它继续一个已有 run，或把脏状态 run 收敛到 `COMPLETE` / `BLOCKED`。 ## 1. Resolve run - 若 prompt 指定 run-id，就用它。 - 否则读取 `.copilot-mission-control/state/latest-run-id`。 - 若不存在 run，明确提示先用 `/longrun <任务描述>`。 ## 2. Restore context 先读： - `mission.md` - `plan.md` - `status.json` - `journal.jsonl` - `COMPLETION.md` 或 `final-summary.md`（若存在） - `hook-events.jsonl` 尾部（仅在需要解释错误时） ## 3. Resume rules - 若 `status.state` 已是 `complete`，默认只读，不重跑。 - 若 `status.state` 已是 `blocked`，先解释阻塞原因，只在用户明确要求 reopen 时才继续。 - 若 deliverable 已存在、`COMPLETION.md` / `final-summary.md` 缺失或 `status.json` 仍是 `running`，优先做**本地验证 + finalize 收敛**，不要重新做已完成工作。 - 只有在产物未完成时，才继续未完成 workstreams。 ## 4. 恢复策略 - 设置 `.copilot-mission-control/state/active-run-id` 为目标 run。 - 恢复 `status.json.state=running` 仅在确需继续执行时进行。 - 优先沿用既有 `profile`、`language`、`modelPolicy`、`deliverables`、`completedWorkstreams`。 - 使用最小恢复路径，不重复已完成 workstreams，除非验证表明它们失效。 ## 5. finalize 优先 若本地验证已足以证明任务完成，直接调用： ```bash python3 "$HOME/.copilot-mission-control/bin/finalize_run.py" \ --workspace "$PWD" \ --run-id "<run-id>" \ --status complete \ --headline "Resumed run converged via local verification" \ --local-verify ``` 若恢复预算耗尽或缺依赖，finalize 为 `blocked`，不要无限空转。
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