AD project-migration-assistant
将当前项目/对话整理成一份可迁移给另一个大模型（GPT、Gemini、Qwen、DeepSeek 等）或另一个新对话窗口的完整上下文交接包（Migration Package），并把对话中产生过的实际项目文件、代码、生成的文档/图片等一并收集打包成可下载的交付物，使新的 AI 或用户无需翻阅历史聊天、也不会丢失已产出的文件即可立即接手项目。触发场景包括：用户说"帮我整理一下这个项目方便交接"、"我要换个模型/开个新对话，帮我做个交接文档"、"生成一个 migration package"、"总结一下方便新对话/新模型接手"、"这个项目做到哪了，帮我打包一下上下文"、"导出项目上下文给另一个 AI"、"把我们做出来的文件都保存/下载下来"等。即使用户没有明确说"迁移"两个字，只要意图是让另一个 AI 或未来的自己在不读完整历史记录的情况下快速理解项目全貌、继续工作、且不丢失已有产出物，都应触发此 skill。不要在用户只是想要一段简短的对话摘要、或者只是想知道"我们刚才聊了什么"（不涉及后续交接给别的系统/对话，也不涉及保留文件）时使用——那种情况直接总结即可，不必套用完整模板。
将当前项目/对话整理成一份可迁移给另一个大模型（GPT、Gemini、Qwen、DeepSeek 等）或另一个新对话窗口的完整上下文交接包（Migration Package），并把对话中产生过的实际项目文件、代码、生成的文档/图片等一并收集打包成可下载的交付物，使新的 AI…
As a process D 49/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions
How to improve
- Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
- Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
- A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.
Guard findings · 0
✓ No critical or high findings
Files scanned: 3. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
description-no-whendescription does not say WHEN to use the skill (no "use when")
Process rating: all ten parameters 49/100
- 0Result and completion. Does not say what the result is
- 0Inputs and preconditions. Does not say what the process needs to start
- 0Failures and branches. Linear process with no failure handling
- 0Progress reporting. Says nothing while it works
- 20When it triggers. No condition that starts the skill
- 40Consistency. Frontmatter name (project-migration-assistant) differs from the folder (llm-session-handoff-assistant)
- 100Tools and files. No external tools needed
- 100Steps. 40 steps
- 100Execution cost. Instruction body is 942 tokens
- 100Running it twice. No mutating operations
Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.
Quality signals
- +4Description does not say when NOT to use the skill (false activations)
- +3Output format is not stated: the model decides each time
- +1No license
- +2Single-language instructions
- +5Description quotes 8 example trigger phrases
- +3Description length 496: enough signal without eating the budget
- +4Structure: 7 headings
- +3Step-by-step instructions: 40 items
- +4Has examples (1 code blocks)
- +4Reference files are cited in the instructions (1 of 1)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 81.