一键导入
public-sample-workspace
Materialize the tracked ICO + GCS public sample corpus into live original_doc/ for contributor testing inside the canonical source repo.
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。
菜单
Materialize the tracked ICO + GCS public sample corpus into live original_doc/ for contributor testing inside the canonical source repo.
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 | public-sample-workspace |
| description | Materialize the tracked ICO + GCS public sample corpus into live original_doc/ for contributor testing inside the canonical source repo. |
Use this skill only when the user explicitly wants a local demo workspace built from the tracked public sample corpus in the canonical source repository.
This is contributor-oriented setup help. It should not replace the clean or demo release-bundle onboarding paths.
This optional skill is intended to be exposed only when the canonical source repo contains the
tracked ICO + GCS sample preset.
original_doc/ already contains user filesIf the current environment cannot inspect or modify the local workspace, stop and explain the blocker.
original_doc/ for visible user files before copying anything.original_doc/ is non-empty and the user did not explicitly ask to replace it:
original_doc/ is empty, or the user explicitly asked to replace it, run:
python3 scripts/use-sample-corpus.py --preset ico-gcs--force only when the user explicitly asked to replace existing live corpus files.--prepare only when the user explicitly asked to bootstrap the workspace immediately after materialization.--sync only when the user explicitly asked to build or refresh the knowledge base immediately after materialization.original_doc/ and note whether bootstrap or sync also ran.original_doc/ silently.original_doc/, or when a clear overwrite/missing-preset blocker has been surfaced.python3 scripts/use-sample-corpus.py --preset ico-gcs.Accept an ordinary user question inside a DocMason workspace, route it to the right inner workflow, and preserve conversation-native logs automatically.
Answer a user question through DocMason's canonical grounded workflow using retrieval, provenance tracing, render escalation, and a final answer-state check.
Produce evidence-backed research, planning, drafting, or composition output from the published DocMason knowledge base while preserving provenance and answer-file discipline.
Stage, incrementally refresh, validate, and publish the DocMason knowledge base from the local source corpus.
Trace published DocMason knowledge objects or answer text back to evidence units and provenance records.
Retrieve ranked evidence bundles from the published DocMason knowledge base.