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Use when reading saved jobs, application status counts, manual follow-up notes, or the user's application tracking state.
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
| name | application-list-tool |
| description | Use when reading saved jobs, application status counts, manual follow-up notes, or the user's application tracking state. |
Use this skill to inspect the manual application workflow through ApplicationService.list_applications. It reads saved/opened/applied/waiting/interviewing/closed states only. It never performs external submission.
Run inside the API container:
docker compose exec api python /app/skills/application-list-tool/scripts/list_applications.py --email admin@example.com
Inputs: --user-id or --email, optional --limit.
The script emits compact JSON: total, statuses, and items[] with application_id, status, job, and tracking_notes. Missing users return ok=true with zero records.
Summarize next follow-up actions by status. Make clear the user must apply on the original site and manually confirm state changes.
python skills/application-list-tool/scripts/list_applications.py --self-test
python skills/application-list-tool/scripts/list_applications.py --help
docker compose exec api python /app/skills/application-list-tool/scripts/list_applications.py --email admin@example.com
Use when inspecting AI assistant file-based long-term memory, session JSONL archives, soft consolidation, Dream updates, or assistant context isolation.
Use when running Agent golden-case evaluation, checking intent accuracy, tool-call accuracy, RAG grounding, job matching, interview follow-up policy, or resume rubric compliance.
Use when inspecting FastAPI routes, controllers, backend service boundaries, repository-backed endpoints, API surface, or route availability.
Use when inspecting or explaining Qingcheng AI chat complexity classification, prompt-template injection, SupervisorAgent routing, selected tool allowlists, or agent planning for a user message.
Use when changing or reviewing the Next.js frontend UI, Tailwind layout, chat/interview pages, resume/job/application screens, or frontend API wrappers.
Use when inspecting simulated interview Agent short-term session state, job-resume binding, question plan progress, answer signals, difficulty, follow-up strategy, or remaining focus.