[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6CS4PH6TSTPFFRX2QM2PDK7":3,"skill-same:01M6CS4PH6TSTPFFRX2QM2PDK7":1340},{"skillNo":4,"name":5,"nameZh":6,"description":7,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":16,"categories":17,"keywords":23,"publishedAt":44,"linkOnly":45,"markdownContent":46,"markdownBody":47,"frontMatter":48,"refName":49,"commitSha":50,"skillDirectory":51,"forksCount":52,"repositoryHtmlUrl":53,"repositoryHomepageUrl":6,"ownerHtmlUrl":54,"ownerBlogUrl":55,"ownerDescription":56,"updatedAt":57,"install":58,"resources":71},"01M6CS4PH6TSTPFFRX2QM2PDK7","reference-import",null,"Import and update external content in the knowledge base — git repos, web crawls, documents (PDF, DOCX), and books (EPUB). Use when the OPERATOR wants persistent, searchable reference material from a git repository, website, document, or book, or when existing references may be stale and need refreshing.","mrtolkien\u002FGHOST","mrtolkien","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F8489650?v=4","01M6CS32Q934XBQQE8BDV5Z6W2","Tolki","01M6CS32VBCD47F5E27WF9W6FC",5,"MIT","https:\u002F\u002Fgithub.com\u002Fmrtolkien\u002FGHOST\u002Fblob\u002Fmain\u002Fassets\u002Fskills\u002Freference-import\u002Fskill.md",[18],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000002","文档处理","SCENARIO","使用场景",[24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43],"reference import","reference","repository","base","references","document","stale","use","epub","knowledge","docx","operator","website","content","git","update","documents","repos","web","PDF","2026-11-10 10:12:30",false,"---\nname: reference-import\ndescription:\n  Import and update external content in the knowledge base — git repos, web crawls,\n  documents (PDF, DOCX), and books (EPUB). Use when the OPERATOR wants persistent,\n  searchable reference material from a git repository, website, document, or book, or\n  when existing references may be stale and need refreshing.\n---\n\n# Reference Import Skill\n\nImport git repos, web crawls, documents, books, and YouTube videos as topic-scoped\nreferences into the knowledge base. All sources go through a two-step flow: **convert**\n(produce staging dir with markdown) then **import** (index into the knowledge base).\n\n## Decision Flow\n\nFollow this order — stop as soon as you have an answer:\n\n1. **Search first**: `knowledge_search(query=\"\u003Ctopic>\", categories=[\"references\"])`. If\n   results exist, use them to answer. Done.\n2. **Git import** (preferred for whole doc sets): find the docs repo via `gh`, convert\n   with `ghost convert git`, then import. Use `background: true` for the convert step.\n3. **Crawl import** (fallback): only if no git source exists (e.g. docs-only site).\n4. **YouTube import**: if the OPERATOR wants a single video, convert with\n   `ghost convert youtube`, then import the staging dir and run the `video-import`\n   agent.\n5. **PDF\u002FDocument import**: download first (curl), then `ghost convert pdf`, then\n   import.\n6. **After starting the background convert**: tell the OPERATOR it's importing, include\n   any other pending responses (project offers, plans, etc.), then **end your turn**. A\n   follow-up turn is triggered automatically when the convert finishes — you'll see the\n   `[shell-command completed]` system message. Read the staging dir, pick a topic, then\n   run the import. Note: reference records appear in the DB almost immediately; only the\n   embeddings trail behind.\n\n## Two-Step Flow\n\n### Step 1: Convert\n\nConvert produces a staging directory with markdown files and prints the staging path to\nstdout:\n\n```sh\nghost convert git \u003Curl> [--paths dir1,dir2] [--extensions .md,.rs] [--git-ref \u003Cref>]\nghost convert crawl \u003Curl> [--max-depth 3] [--max-pages 50]\nghost convert youtube --url https:\u002F\u002Fwww.youtube.com\u002Fwatch?v=\u003Cid>\nghost convert pdf \u003Cpath> [--no-ocr] [--page-range \"1-10\"] [--timeout 900]\n```\n\nThe staging directory defaults to `\u003Cworkspace>\u002F.staging\u002F\u003Cslug>\u002F`. The command prints the\nstaging path and provenance details (source URL, git ref, etc.) to stdout — capture\nthese for the import step.\n\nYouTube import is v1 single-video only. Transcript acquisition priority is: manual\ncaptions, then auto captions, then CPU Whisper fallback if captions are missing. The\nconverter splits transcripts into multiple markdown files based primarily on length, not\nuploader chapters, so the reference files stay readable for rereading and search.\n\n### Step 2: Inspect\n\nAfter the convert completes, read a few files from the staging dir to understand the\ncontent, then pick an appropriate `--topic`.\n\n### Step 3: Import\n\n```sh\nghost reference import \u003Cstaging-dir> --topic \u003Ctopic> \\\n    [--source-type git|crawl|file|youtube] \\\n    [--source-url \u003Curl>] \\\n    [--version-ref \u003Ccommit-hash>] \\\n    [--git-ref \u003Cbranch-or-tag>]\n```\n\nThe import indexes the staging directory into the knowledge base and writes files to\n`references\u002F{topic}\u002F`. Pass the provenance flags from the convert output so the import\nrecord is fully traceable.\n\nFor YouTube imports, pass `--source-type youtube` and the original video URL from the\nconverter output. The import only needs the markdown transcript sections in staging;\nthere is no need to keep audio or subtitle artifacts.\n\n### YouTube Import\n\n1. **Convert** (single-video URLs only in v1):\n\n```sh\nghost convert youtube --url https:\u002F\u002Fwww.youtube.com\u002Fwatch?v=\u003Cid>\n```\n\nThe converter tries manual captions first, auto captions second, and CPU Whisper only\nwhen captions are unavailable. It prints the staging path plus metadata such as the\nsource URL, video ID, title, channel, transcript source, section count, and chapter\ncount.\n\n2. **Import**:\n\n```sh\nghost reference import \u002Fpath\u002Fto\u002F.staging\u002F\u003Cslug> --topic videos\u002F\u003Cslug> \\\n    --source-type youtube \\\n    --source-url https:\u002F\u002Fwww.youtube.com\u002Fwatch?v=\u003Cid>\n```\n\n3. **Create notes** — use the `agent` tool to start the `video-import` agent. Pass the\n   topic, title, and channel from the convert output as `args`:\n\n```json agent\n{\n  \"action\": \"start\",\n  \"agent\": \"video-import\",\n  \"prompt\": \"Create notes from the imported video.\",\n  \"args\": {\n    \"topic\": \"videos\u002F\u003Cslug>\",\n    \"title\": \"\u003Ctitle from convert output>\",\n    \"channel\": \"\u003Cchannel from convert output>\"\n  }\n}\n```\n\nUse `video-import` for transcript-based notes. It is tuned for shorter section files,\nsection-aware reading, and timestamped source notes.\n\n## Git Import (Preferred)\n\n### Finding the docs repo\n\nDocumentation often lives in a separate repo (e.g. `DioxusLabs\u002Fdocsite`, not\n`DioxusLabs\u002Fdioxus`). One search is enough:\n\n```sh\ngh search repos \"docs OR docsite OR website\" --owner=\u003COrg> --json name,description\n```\n\n### Choosing paths + extensions\n\nBrowse the repo to pick the narrowest `--paths`:\n\n```sh\ngh api repos\u002F\u003Cowner>\u002F\u003Crepo>\u002Fcontents\u002F --jq '.[].name'\n```\n\nFor docs repos use `--extensions .md`; for code examples add `.rs`, `.py`, etc. Omit\n`--paths` only for small repos.\n\n### Running the convert (background)\n\nGit converts clone the repo and embed every file, which is slow on CPU. **Always use\nbackground mode** (`background: true`) for the convert step:\n\n```sh\nghost convert git https:\u002F\u002Fgithub.com\u002FDioxusLabs\u002Fdocsite --paths docs-src\u002F0.7\u002Fsrc --extensions .md\n```\n\nTell the OPERATOR: _\"I'm converting the Dioxus docs in the background — I'll import them\nonce conversion finishes.\"_ Finish any other pending responses, then **end your turn**.\nThe completion watcher triggers a follow-up turn automatically.\n\n### After convert completes\n\nWhen you see `[shell-command completed]`, the stdout contains the staging path. Read a\nfew files to pick a good topic name, then run the import:\n\n```sh\nghost reference import \u002Fpath\u002Fto\u002F.staging\u002Fdocsite --topic dioxus\u002Fdocs \\\n    --source-type git --source-url https:\u002F\u002Fgithub.com\u002FDioxusLabs\u002Fdocsite --git-ref main\n```\n\n## Crawl Import (Fallback)\n\nUse only when no git source exists. Run with `background: true`:\n\n```sh\nghost convert crawl https:\u002F\u002Fdocs.example.com\u002F --max-depth 2 --max-pages 30\n```\n\nAfter convert completes, import the staging dir:\n\n```sh\nghost reference import \u002Fpath\u002Fto\u002F.staging\u002Fdocs-example-com --topic example\u002Fdocs \\\n    --source-type crawl --source-url https:\u002F\u002Fdocs.example.com\u002F\n```\n\n## PDF \u002F Document Import\n\n### Why download first?\n\nMany sites serve consent pages, CAPTCHAs, or redirects instead of the actual file.\nDownloading first lets you verify the file is real (check size, file type) before\nconverting. It also keeps the original in `uploads\u002F` for re-import if needed.\n\n### Workflow\n\n1. **Download** (foreground — verify the file is real before converting):\n\n```sh\ncurl -L -o uploads\u002Frulebook.pdf 'https:\u002F\u002Fexample.com\u002Frulebook.pdf'\n```\n\nCheck file size and type — some sites return HTML error pages with HTTP 200.\n\n2. **Convert** (background — OCR can take minutes, use `background: true`):\n\n```sh\nghost convert pdf uploads\u002Frulebook.pdf\n```\n\n3. **Import** after convert completes:\n\n```sh\nghost reference import \u002Fpath\u002Fto\u002F.staging\u002Frulebook --topic boardgames\u002Farknova \\\n    --source-type file\n```\n\n### PDF convert options (use ONLY when explicitly requested)\n\nThese are optimization overrides. **Use defaults unless the OPERATOR asks otherwise.**\n\n| Flag                  | Default  | When to use                               |\n| --------------------- | -------- | ----------------------------------------- |\n| `--no-ocr`            | OCR on   | OPERATOR says PDF is digital, wants speed |\n| `--page-range \"1-10\"` | full doc | OPERATOR wants specific pages only        |\n| `--timeout 900`       | config   | OPERATOR needs more time for huge docs    |\n\nDo NOT guess at these options. Do NOT add `--no-ocr` to \"speed things up\". The OPERATOR\nwill tell you if they want non-default behavior.\n\n### Uploaded files\n\nWhen the OPERATOR uploads a file, it lands in `uploads\u002F` in the workspace. Convert it\ndirectly — no curl needed:\n\n```sh\nghost convert pdf uploads\u002F\u003Cfilename>\n```\n\nAfter import, the original file is preserved in `references\u002F\u003Ctopic>\u002F_originals\u002F`. Clean\nup the uploaded file:\n\n```sh\nrm uploads\u002F\u003Cfilename>\n```\n\n## Book Import (EPUB)\n\n### Workflow\n\n1. **Convert** (fast — pure Rust, no external deps):\n\n```sh\nghost convert epub --path \u002Fpath\u002Fto\u002Fbook.epub\n```\n\nThe output shows the staging path, title, authors, and chapter count.\n\n2. **Import**:\n\n```sh\nghost reference import \u002Fpath\u002Fto\u002F.staging\u002Fbook-slug --topic books\u002F\u003Cslug> \\\n    --source-type book\n```\n\nPick a descriptive `--topic` under `books\u002F` (e.g., `books\u002Ffiction`, `books\u002Feconomy`).\n\n3. **Create notes** — use the `agent` tool to start the `book-import` agent. Pass the\n   topic, title, and authors from the convert output as `args`:\n\n```json agent\n{\n  \"action\": \"start\",\n  \"agent\": \"book-import\",\n  \"prompt\": \"Create notes from the imported book.\",\n  \"args\": {\n    \"topic\": \"books\u002F\u003Cslug>\",\n    \"title\": \"\u003Ctitle from convert output>\",\n    \"authors\": \"\u003Cauthors from convert output>\"\n  }\n}\n```\n\n## Files on Disk\n\nAll imported references are written to disk under `references\u002F{topic}\u002F` in the workspace\nAND stored in the DB for search. This means you can `file_read` on paths returned by\n`knowledge_search` to get full reference content — no need to re-fetch from the web.\n\n- **Git imports**: files mirror the repo structure (`references\u002F{topic}\u002F{rel_path}`)\n- **Crawl imports**: filenames are URL slugs (`references\u002F{topic}\u002F{slug}.md`)\n- **PDF imports**: one markdown file per source document\n- **YouTube imports**: one markdown file per transcript section\n- `knowledge_search` results for references include a `path:` field you can `file_read`\n\n## Staging Directory\n\nThe staging directory (`.staging\u002F` in workspace) is auto-cleaned after a successful\nimport. If you need to re-import with different options, re-run the convert step.\n\n## Post-Import: Enrich the Topic Note\n\n_If the topic is new_, after import, a placeholder note exists at\n`notes\u002F\u003Ctopic>\u002Findex.md`. Edit it with a meaningful description — what the\nlibrary\u002Fdocument covers, key concepts. This makes the topic discoverable via semantic\nsearch.\n\n## Topic Hierarchy\n\nTopics are namespaces: `dioxus`, `dioxus\u002Fdocs`, `dioxus\u002Fsource`.\n\n- Searching with `topic=\"dioxus\"` finds results across all sub-topics\n- Each import writes `_import.toml` alongside the references\n\n## Post-Import Search\n\n```\nknowledge_search(query=\"hooks\", topic=\"dioxus\", categories=[\"references\"])\n```\n\n## Cleanup\n\n```sh\nghost reference delete --topic dioxus\u002Fdocs\n```\n\n## Updating References\n\nWhen the OPERATOR asks to refresh or update existing reference material, or when you\nnotice imported docs may be stale (e.g. a library released a new version):\n\n```sh\nghost reference update --topic \u003Cname> [--ref \u003Ctag-or-branch>]\n```\n\nThis re-fetches from the original source and applies changes:\n\n- New files are added\n- Changed files are updated (content + embeddings)\n- Files deleted upstream are removed — unless cited by notes, in which case they're\n  moved to `_orphaned\u002F` with a warning\n\nFor git sources, the command short-circuits if the upstream commit hash hasn't changed.\nUse `--ref` to switch to a different branch or tag.\n\nExamples (use `background: true`):\n\n```sh\nghost reference update --topic dioxus\u002Fdocs\nghost reference update --topic dioxus\u002Fdocs --ref v0.6\n```\n\n## CLI Reference\n\n```sh\n# Convert\nghost convert git \u003Curl> [--paths \u003Cpaths>] [--extensions \u003Cexts>] [--git-ref \u003Cref>] [--output \u003Cdir>]\nghost convert crawl \u003Curl> [--max-depth 3] [--max-pages 50] [--output \u003Cdir>]\nghost convert pdf \u003Cpath> [--no-ocr] [--page-range \"1-10\"] [--timeout \u003Csecs>] [--output \u003Cdir>]\nghost convert epub --path \u003Cpath> [--output \u003Cdir>]\n\n# Import\nghost reference import \u003Cstaging-dir> --topic \u003Cname> \\\n    [--source-type git|crawl|file] \\\n    [--source-url \u003Curl>] \\\n    [--version-ref \u003Ccommit-hash>] \\\n    [--git-ref \u003Cbranch-or-tag>]\n\n# Manage\nghost reference update --topic \u003Cname> [--ref \u003Ctag-or-branch>]\nghost reference delete --topic \u003Cname>\nghost topics list\n```\n","# Reference Import Skill\n\nImport git repos, web crawls, documents, books, and YouTube videos as topic-scoped\nreferences into the knowledge base. All sources go through a two-step flow: **convert**\n(produce staging dir with markdown) then **import** (index into the knowledge base).\n\n## Decision Flow\n\nFollow this order — stop as soon as you have an answer:\n\n1. **Search first**: `knowledge_search(query=\"\u003Ctopic>\", categories=[\"references\"])`. If\n   results exist, use them to answer. Done.\n2. **Git import** (preferred for whole doc sets): find the docs repo via `gh`, convert\n   with `ghost convert git`, then import. Use `background: true` for the convert step.\n3. **Crawl import** (fallback): only if no git source exists (e.g. docs-only site).\n4. **YouTube import**: if the OPERATOR wants a single video, convert with\n   `ghost convert youtube`, then import the staging dir and run the `video-import`\n   agent.\n5. **PDF\u002FDocument import**: download first (curl), then `ghost convert pdf`, then\n   import.\n6. **After starting the background convert**: tell the OPERATOR it's importing, include\n   any other pending responses (project offers, plans, etc.), then **end your turn**. A\n   follow-up turn is triggered automatically when the convert finishes — you'll see the\n   `[shell-command completed]` system message. Read the staging dir, pick a topic, then\n   run the import. Note: reference records appear in the DB almost immediately; only the\n   embeddings trail behind.\n\n## Two-Step Flow\n\n### Step 1: Convert\n\nConvert produces a staging directory with markdown files and prints the staging path to\nstdout:\n\n```sh\nghost convert git \u003Curl> [--paths dir1,dir2] [--extensions .md,.rs] [--git-ref \u003Cref>]\nghost convert crawl \u003Curl> [--max-depth 3] [--max-pages 50]\nghost convert youtube --url https:\u002F\u002Fwww.youtube.com\u002Fwatch?v=\u003Cid>\nghost convert pdf \u003Cpath> [--no-ocr] [--page-range \"1-10\"] [--timeout 900]\n```\n\nThe staging directory defaults to `\u003Cworkspace>\u002F.staging\u002F\u003Cslug>\u002F`. The command prints the\nstaging path and provenance details (source URL, git ref, etc.) to stdout — capture\nthese for the import step.\n\nYouTube import is v1 single-video only. Transcript acquisition priority is: manual\ncaptions, then auto captions, then CPU Whisper fallback if captions are missing. The\nconverter splits transcripts into multiple markdown files based primarily on length, not\nuploader chapters, so the reference files stay readable for rereading and search.\n\n### Step 2: Inspect\n\nAfter the convert completes, read a few files from the staging dir to understand the\ncontent, then pick an appropriate `--topic`.\n\n### Step 3: Import\n\n```sh\nghost reference import \u003Cstaging-dir> --topic \u003Ctopic> \\\n    [--source-type git|crawl|file|youtube] \\\n    [--source-url \u003Curl>] \\\n    [--version-ref \u003Ccommit-hash>] \\\n    [--git-ref \u003Cbranch-or-tag>]\n```\n\nThe import indexes the staging directory into the knowledge base and writes files to\n`references\u002F{topic}\u002F`. Pass the provenance flags from the convert output so the import\nrecord is fully traceable.\n\nFor YouTube imports, pass `--source-type youtube` and the original video URL from the\nconverter output. The import only needs the markdown transcript sections in staging;\nthere is no need to keep audio or subtitle artifacts.\n\n### YouTube Import\n\n1. **Convert** (single-video URLs only in v1):\n\n```sh\nghost convert youtube --url https:\u002F\u002Fwww.youtube.com\u002Fwatch?v=\u003Cid>\n```\n\nThe converter tries manual captions first, auto captions second, and CPU Whisper only\nwhen captions are unavailable. It prints the staging path plus metadata such as the\nsource URL, video ID, title, channel, transcript source, section count, and chapter\ncount.\n\n2. **Import**:\n\n```sh\nghost reference import \u002Fpath\u002Fto\u002F.staging\u002F\u003Cslug> --topic videos\u002F\u003Cslug> \\\n    --source-type youtube \\\n    --source-url https:\u002F\u002Fwww.youtube.com\u002Fwatch?v=\u003Cid>\n```\n\n3. **Create notes** — use the `agent` tool to start the `video-import` agent. Pass the\n   topic, title, and channel from the convert output as `args`:\n\n```json agent\n{\n  \"action\": \"start\",\n  \"agent\": \"video-import\",\n  \"prompt\": \"Create notes from the imported video.\",\n  \"args\": {\n    \"topic\": \"videos\u002F\u003Cslug>\",\n    \"title\": \"\u003Ctitle from convert output>\",\n    \"channel\": \"\u003Cchannel from convert output>\"\n  }\n}\n```\n\nUse `video-import` for transcript-based notes. It is tuned for shorter section files,\nsection-aware reading, and timestamped source notes.\n\n## Git Import (Preferred)\n\n### Finding the docs repo\n\nDocumentation often lives in a separate repo (e.g. `DioxusLabs\u002Fdocsite`, not\n`DioxusLabs\u002Fdioxus`). One search is enough:\n\n```sh\ngh search repos \"docs OR docsite OR website\" --owner=\u003COrg> --json name,description\n```\n\n### Choosing paths + extensions\n\nBrowse the repo to pick the narrowest `--paths`:\n\n```sh\ngh api repos\u002F\u003Cowner>\u002F\u003Crepo>\u002Fcontents\u002F --jq '.[].name'\n```\n\nFor docs repos use `--extensions .md`; for code examples add `.rs`, `.py`, etc. Omit\n`--paths` only for small repos.\n\n### Running the convert (background)\n\nGit converts clone the repo and embed every file, which is slow on CPU. **Always use\nbackground mode** (`background: true`) for the convert step:\n\n```sh\nghost convert git https:\u002F\u002Fgithub.com\u002FDioxusLabs\u002Fdocsite --paths docs-src\u002F0.7\u002Fsrc --extensions .md\n```\n\nTell the OPERATOR: _\"I'm converting the Dioxus docs in the background — I'll import them\nonce conversion finishes.\"_ Finish any other pending responses, then **end your turn**.\nThe completion watcher triggers a follow-up turn automatically.\n\n### After convert completes\n\nWhen you see `[shell-command completed]`, the stdout contains the staging path. Read a\nfew files to pick a good topic name, then run the import:\n\n```sh\nghost reference import \u002Fpath\u002Fto\u002F.staging\u002Fdocsite --topic dioxus\u002Fdocs \\\n    --source-type git --source-url https:\u002F\u002Fgithub.com\u002FDioxusLabs\u002Fdocsite --git-ref main\n```\n\n## Crawl Import (Fallback)\n\nUse only when no git source exists. Run with `background: true`:\n\n```sh\nghost convert crawl https:\u002F\u002Fdocs.example.com\u002F --max-depth 2 --max-pages 30\n```\n\nAfter convert completes, import the staging dir:\n\n```sh\nghost reference import \u002Fpath\u002Fto\u002F.staging\u002Fdocs-example-com --topic example\u002Fdocs \\\n    --source-type crawl --source-url https:\u002F\u002Fdocs.example.com\u002F\n```\n\n## PDF \u002F Document Import\n\n### Why download first?\n\nMany sites serve consent pages, CAPTCHAs, or redirects instead of the actual file.\nDownloading first lets you verify the file is real (check size, file type) before\nconverting. It also keeps the original in `uploads\u002F` for re-import if needed.\n\n### Workflow\n\n1. **Download** (foreground — verify the file is real before converting):\n\n```sh\ncurl -L -o uploads\u002Frulebook.pdf 'https:\u002F\u002Fexample.com\u002Frulebook.pdf'\n```\n\nCheck file size and type — some sites return HTML error pages with HTTP 200.\n\n2. **Convert** (background — OCR can take minutes, use `background: true`):\n\n```sh\nghost convert pdf uploads\u002Frulebook.pdf\n```\n\n3. **Import** after convert completes:\n\n```sh\nghost reference import \u002Fpath\u002Fto\u002F.staging\u002Frulebook --topic boardgames\u002Farknova \\\n    --source-type file\n```\n\n### PDF convert options (use ONLY when explicitly requested)\n\nThese are optimization overrides. **Use defaults unless the OPERATOR asks otherwise.**\n\n| Flag                  | Default  | When to use                               |\n| --------------------- | -------- | ----------------------------------------- |\n| `--no-ocr`            | OCR on   | OPERATOR says PDF is digital, wants speed |\n| `--page-range \"1-10\"` | full doc | OPERATOR wants specific pages only        |\n| `--timeout 900`       | config   | OPERATOR needs more time for huge docs    |\n\nDo NOT guess at these options. Do NOT add `--no-ocr` to \"speed things up\". The OPERATOR\nwill tell you if they want non-default behavior.\n\n### Uploaded files\n\nWhen the OPERATOR uploads a file, it lands in `uploads\u002F` in the workspace. Convert it\ndirectly — no curl needed:\n\n```sh\nghost convert pdf uploads\u002F\u003Cfilename>\n```\n\nAfter import, the original file is preserved in `references\u002F\u003Ctopic>\u002F_originals\u002F`. Clean\nup the uploaded file:\n\n```sh\nrm uploads\u002F\u003Cfilename>\n```\n\n## Book Import (EPUB)\n\n### Workflow\n\n1. **Convert** (fast — pure Rust, no external deps):\n\n```sh\nghost convert epub --path \u002Fpath\u002Fto\u002Fbook.epub\n```\n\nThe output shows the staging path, title, authors, and chapter count.\n\n2. **Import**:\n\n```sh\nghost reference import \u002Fpath\u002Fto\u002F.staging\u002Fbook-slug --topic books\u002F\u003Cslug> \\\n    --source-type book\n```\n\nPick a descriptive `--topic` under `books\u002F` (e.g., `books\u002Ffiction`, `books\u002Feconomy`).\n\n3. **Create notes** — use the `agent` tool to start the `book-import` agent. Pass the\n   topic, title, and authors from the convert output as `args`:\n\n```json agent\n{\n  \"action\": \"start\",\n  \"agent\": \"book-import\",\n  \"prompt\": \"Create notes from the imported book.\",\n  \"args\": {\n    \"topic\": \"books\u002F\u003Cslug>\",\n    \"title\": \"\u003Ctitle from convert output>\",\n    \"authors\": \"\u003Cauthors from convert output>\"\n  }\n}\n```\n\n## Files on Disk\n\nAll imported references are written to disk under `references\u002F{topic}\u002F` in the workspace\nAND stored in the DB for search. This means you can `file_read` on paths returned by\n`knowledge_search` to get full reference content — no need to re-fetch from the web.\n\n- **Git imports**: files mirror the repo structure (`references\u002F{topic}\u002F{rel_path}`)\n- **Crawl imports**: filenames are URL slugs (`references\u002F{topic}\u002F{slug}.md`)\n- **PDF imports**: one markdown file per source document\n- **YouTube imports**: one markdown file per transcript section\n- `knowledge_search` results for references include a `path:` field you can `file_read`\n\n## Staging Directory\n\nThe staging directory (`.staging\u002F` in workspace) is auto-cleaned after a successful\nimport. If you need to re-import with different options, re-run the convert step.\n\n## Post-Import: Enrich the Topic Note\n\n_If the topic is new_, after import, a placeholder note exists at\n`notes\u002F\u003Ctopic>\u002Findex.md`. Edit it with a meaningful description — what the\nlibrary\u002Fdocument covers, key concepts. This makes the topic discoverable via semantic\nsearch.\n\n## Topic Hierarchy\n\nTopics are namespaces: `dioxus`, `dioxus\u002Fdocs`, `dioxus\u002Fsource`.\n\n- Searching with `topic=\"dioxus\"` finds results across all sub-topics\n- Each import writes `_import.toml` alongside the references\n\n## Post-Import Search\n\n```\nknowledge_search(query=\"hooks\", topic=\"dioxus\", categories=[\"references\"])\n```\n\n## Cleanup\n\n```sh\nghost reference delete --topic dioxus\u002Fdocs\n```\n\n## Updating References\n\nWhen the OPERATOR asks to refresh or update existing reference material, or when you\nnotice imported docs may be stale (e.g. a library released a new version):\n\n```sh\nghost reference update --topic \u003Cname> [--ref \u003Ctag-or-branch>]\n```\n\nThis re-fetches from the original source and applies changes:\n\n- New files are added\n- Changed files are updated (content + embeddings)\n- Files deleted upstream are removed — unless cited by notes, in which case they're\n  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