[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6MJ1GYBPK5C4KW4ZS99CSSH":3,"skill-same:01M6MJ1GYBPK5C4KW4ZS99CSSH":63},{"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":18,"publishedAt":34,"linkOnly":35,"markdownContent":36,"markdownBody":37,"frontMatter":38,"refName":39,"commitSha":40,"skillDirectory":41,"forksCount":42,"repositoryHtmlUrl":43,"repositoryHomepageUrl":44,"ownerHtmlUrl":45,"ownerBlogUrl":46,"ownerDescription":47,"updatedAt":48,"install":49,"resources":62},"01M6MJ1GYBPK5C4KW4ZS99CSSH","extracting-with-ocr",null,"Use when extracting text from scanned PDFs, photographed pages, or images that have no embedded text layer. Covers OCR backends, language packs, force-OCR, and performance tuning.","hashgraph-online\u002Fawesome-codex-plugins","hashgraph-online","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F160371962?v=4","01M6CNB6NRJVNNGN14TR01Q6D3","HOL (Hashgraph Online)","01M6JT1HSKKG9V68KQAQGBA7XP",1559,"Apache-2.0","https:\u002F\u002Fgithub.com\u002Fhashgraph-online\u002Fawesome-codex-plugins\u002Fblob\u002Fmain\u002Fplugins\u002Fkreuzberg-dev\u002Fplugins\u002Fplugins\u002Fkreuzberg\u002Fskills\u002Fextracting-with-ocr\u002FSKILL.md",[],[19,20,21,22,23,24,25,26,27,28,29,30,31,32,33],"ocr","with","extracting","extracting with ocr","performance","tuning","text","use","embedded","images","language","pages","performance tuning","layer","when","2026-11-10 10:12:30",false,"---\nname: extracting-with-ocr\ndescription: Use when extracting text from scanned PDFs, photographed pages, or images that have no embedded text layer. Covers OCR backends, language packs, force-OCR, and performance tuning.\n---\n\n# Extracting with OCR\n\nUse this when a document is image-based: scanned PDFs, photographed pages,\nscreenshots, JPEG\u002FPNG\u002FTIFF with text. Kreuzberg auto-OCRs raster images and\nauto-detects PDFs that lack a text layer. Force it on when extraction\nreturned empty\u002Fgarbled text from a PDF that \"looks\" textual.\n\n## When to force OCR\n\n- Extraction returned an empty `content` field, but the file opens visually.\n- The PDF text layer is junk (copy-paste from a viewer produces gibberish).\n- You want consistent output across mixed scanned + digital PDFs.\n\n```bash\nkreuzberg extract scan.pdf --force-ocr=true\nkreuzberg extract scan.pdf --ocr=true --ocr-language eng\n```\n\nIf a page has an unreliable text layer, `--force-ocr=true` re-rasterizes\nand runs OCR on every page.\n\n## Backends\n\nTesseract is the default and ships with the CLI — no extra install. Other\nbackends are opt-in:\n\n| Backend       | Flag                                  | Install                                          | Notes                                                          |\n| ------------- | ------------------------------------- | ------------------------------------------------ | -------------------------------------------------------------- |\n| Tesseract     | `--ocr-backend tesseract` (default)   | bundled                                          | Best general-purpose, 100+ languages via tessdata.             |\n| PaddleOCR     | `--ocr-backend paddle-ocr`            | bundled (ONNX Runtime)                           | Strong on Asian scripts. Not available on WASM or Windows.     |\n| EasyOCR       | `--ocr-backend easyocr`               | Python binding (`pip install kreuzberg[easyocr]`)| Heavier model. CUDA accel via `easyocr_kwargs={\"gpu\": True}`.  |\n| VLM (vision)  | layout + a multimodal LLM via config  | configured per backend                           | Use when OCR fails on dense or handwritten layouts.            |\n\nPick Tesseract first. Switch only when accuracy is unacceptable.\n\n## Language packs\n\nTesseract uses ISO 639-2 codes. Default is `eng`. Combine with `+`:\n\n```bash\nkreuzberg extract menu.jpg --ocr=true --ocr-language \"eng+deu\"\nkreuzberg extract bilingual.pdf --ocr-language \"eng+jpn\"\nkreuzberg extract any.pdf --ocr-language all   # all installed packs\n```\n\nInstall missing packs at the OS level:\n\n```bash\n# macOS\nbrew install tesseract-lang\n\n# Debian\u002FUbuntu\nsudo apt install tesseract-ocr-deu tesseract-ocr-jpn tesseract-ocr-fra\n\n# Specific lang only\nsudo apt install tesseract-ocr-\u003Ciso639-2>\n```\n\nKreuzberg fails fast with a helpful error if you request a language pack\nthat is not installed. Read the error — it names the missing file.\n\n## Useful flags\n\n- `--ocr=true` — enable OCR (auto-enabled for images and scanned PDFs).\n- `--force-ocr=true` — OCR every page even if a text layer exists.\n- `--disable-ocr=true` — never OCR (extract embedded text only or fail).\n- `--ocr-language \u003Clang>` — single code or `+`-joined list, or `all`.\n- `--ocr-backend \u003Ctesseract|paddle-ocr|easyocr>` — pick backend.\n- `--ocr-auto-rotate=true` — pre-rotate via the auto-rotate model.\n- `--acceleration \u003Ccpu|coreml|cuda|tensorrt|auto>` — ONNX accelerator for\n  paddle-ocr \u002F auto-rotate \u002F layout models.\n\n## Performance tips\n\n- Cache is on by default. Repeated extraction of the same file + config is\n  instant. Do not pass `--no-cache=true` unless you have a reason.\n- For batch OCR, use `kreuzberg batch *.pdf --ocr=true` — internal worker\n  pool parallelizes across CPU cores. Cap with `--max-concurrent N` if\n  memory is tight.\n- Raise `--target-dpi` (default 300) only for low-resolution scans. Higher\n  DPI is slower; 200 is usually enough for printed text.\n- Enable `--ocr-auto-rotate=true` only when pages may be rotated; the\n  classifier adds latency.\n- On Apple Silicon, `--acceleration coreml` typically beats CPU for\n  paddle-ocr and layout detection.\n\n## Config file alternative\n\nLong flag chains belong in `kreuzberg.toml` — auto-discovered from cwd\nupward.\n\n```toml\nforce_ocr = true\noutput_format = \"markdown\"\n\n[ocr]\nbackend = \"tesseract\"\nlanguage = \"eng+deu\"\nauto_rotate = true\n```\n\nThen just run:\n\n```bash\nkreuzberg extract document.pdf\n```\n\n## Common failure modes\n\n- **\"missing tessdata\"** — install the language pack at OS level (see above).\n- **Empty content on a scanned PDF without `--force-ocr`** — the file has a\n  bogus zero-width text layer. Re-run with `--force-ocr=true`.\n- **OCR on a rotated page** — add `--ocr-auto-rotate=true` or pre-rotate.\n- **Garbled CJK output** — ensure the right language pack is installed and\n  passed via `--ocr-language`; consider `paddle-ocr` for Chinese\u002FJapanese.\n\nSee `references\u002Fcli-reference.md` and `references\u002Fconfiguration.md` in the\nsibling `kreuzberg` skill for the full flag and config schema.\n","# Extracting with OCR\n\nUse this when a document is image-based: scanned PDFs, photographed pages,\nscreenshots, JPEG\u002FPNG\u002FTIFF with text. Kreuzberg auto-OCRs raster images and\nauto-detects PDFs that lack a text layer. Force it on when extraction\nreturned empty\u002Fgarbled text from a PDF that \"looks\" textual.\n\n## When to force OCR\n\n- Extraction returned an empty `content` field, but the file opens visually.\n- The PDF text layer is junk (copy-paste from a viewer produces gibberish).\n- You want consistent output across mixed scanned + digital PDFs.\n\n```bash\nkreuzberg extract scan.pdf --force-ocr=true\nkreuzberg extract scan.pdf --ocr=true --ocr-language eng\n```\n\nIf a page has an unreliable text layer, `--force-ocr=true` re-rasterizes\nand runs OCR on every page.\n\n## Backends\n\nTesseract is the default and ships with the CLI — no extra install. Other\nbackends are opt-in:\n\n| Backend       | Flag                                  | Install                                          | Notes                                                          |\n| ------------- | ------------------------------------- | ------------------------------------------------ | -------------------------------------------------------------- |\n| Tesseract     | `--ocr-backend tesseract` (default)   | bundled                                          | Best general-purpose, 100+ languages via tessdata.             |\n| PaddleOCR     | `--ocr-backend paddle-ocr`            | bundled (ONNX Runtime)                           | Strong on Asian scripts. Not available on WASM or Windows.     |\n| EasyOCR       | `--ocr-backend easyocr`               | Python binding (`pip install kreuzberg[easyocr]`)| Heavier model. CUDA accel via `easyocr_kwargs={\"gpu\": True}`.  |\n| VLM (vision)  | layout + a multimodal LLM via config  | configured per backend                           | Use when OCR fails on dense or handwritten layouts.            |\n\nPick Tesseract first. Switch only when accuracy is unacceptable.\n\n## Language packs\n\nTesseract uses ISO 639-2 codes. Default is `eng`. Combine with `+`:\n\n```bash\nkreuzberg extract menu.jpg --ocr=true --ocr-language \"eng+deu\"\nkreuzberg extract bilingual.pdf --ocr-language \"eng+jpn\"\nkreuzberg extract any.pdf --ocr-language all   # all installed packs\n```\n\nInstall missing packs at the OS level:\n\n```bash\n# macOS\nbrew install tesseract-lang\n\n# Debian\u002FUbuntu\nsudo apt install tesseract-ocr-deu tesseract-ocr-jpn tesseract-ocr-fra\n\n# Specific lang only\nsudo apt install tesseract-ocr-\u003Ciso639-2>\n```\n\nKreuzberg fails fast with a helpful error if you request a language pack\nthat is not installed. Read the error — it names the missing file.\n\n## Useful flags\n\n- `--ocr=true` — enable OCR (auto-enabled for images and scanned PDFs).\n- `--force-ocr=true` — OCR every page even if a text layer exists.\n- `--disable-ocr=true` — never OCR (extract embedded text only or fail).\n- `--ocr-language \u003Clang>` — single code or `+`-joined list, or `all`.\n- `--ocr-backend \u003Ctesseract|paddle-ocr|easyocr>` — pick backend.\n- `--ocr-auto-rotate=true` — pre-rotate via the auto-rotate model.\n- `--acceleration \u003Ccpu|coreml|cuda|tensorrt|auto>` — ONNX accelerator for\n  paddle-ocr \u002F auto-rotate \u002F layout models.\n\n## Performance tips\n\n- Cache is on by default. Repeated extraction of the same file + config is\n  instant. Do not pass `--no-cache=true` unless you have a reason.\n- For batch OCR, use `kreuzberg batch *.pdf --ocr=true` — internal worker\n  pool parallelizes across CPU cores. Cap with `--max-concurrent N` if\n  memory is tight.\n- Raise `--target-dpi` (default 300) only for low-resolution scans. Higher\n  DPI is slower; 200 is usually enough for printed text.\n- Enable `--ocr-auto-rotate=true` only when pages may be rotated; the\n  classifier adds latency.\n- On Apple Silicon, `--acceleration coreml` typically beats CPU for\n  paddle-ocr and layout detection.\n\n## Config file alternative\n\nLong flag chains belong in `kreuzberg.toml` — auto-discovered from cwd\nupward.\n\n```toml\nforce_ocr = true\noutput_format = \"markdown\"\n\n[ocr]\nbackend = \"tesseract\"\nlanguage = \"eng+deu\"\nauto_rotate = true\n```\n\nThen just run:\n\n```bash\nkreuzberg extract document.pdf\n```\n\n## Common failure modes\n\n- **\"missing tessdata\"** — install the language pack at OS level (see above).\n- **Empty content on a scanned PDF without `--force-ocr`** — the file has a\n  bogus zero-width text layer. Re-run with `--force-ocr=true`.\n- **OCR on a rotated page** — add `--ocr-auto-rotate=true` or pre-rotate.\n- **Garbled CJK output** — ensure the right language pack is installed and\n  passed via `--ocr-language`; consider `paddle-ocr` for Chinese\u002FJapanese.\n\nSee `references\u002Fcli-reference.md` and `references\u002Fconfiguration.md` in the\nsibling `kreuzberg` skill for the full flag and config schema.\n",{"name":5,"description":7},"main","2b63f856ce19c2a797929cacabd9e0fc936812fa","plugins\u002Fkreuzberg-dev\u002Fplugins\u002Fplugins\u002Fkreuzberg\u002Fskills\u002Fextracting-with-ocr",474,"https:\u002F\u002Fgithub.com\u002Fhashgraph-online\u002Fawesome-codex-plugins","https:\u002F\u002Fhol.org\u002Fplugins\u002Fbest-codex-plugins","https:\u002F\u002Fgithub.com\u002Fhashgraph-online","https:\u002F\u002Fhol.org","Open-source standards and developer tools for interoperable AI agents: discovery, identity, communication, payments, privacy and security.","2026-11-11 14:40:14",{"source":8,"skillName":5,"commands":50,"prompt":60,"zipAvailable":61},[51,54,57],{"tool":52,"command":53},"npx","npx skills add hashgraph-online\u002Fawesome-codex-plugins --skill extracting-with-ocr",{"tool":55,"command":56},"bunx","bunx skills add hashgraph-online\u002Fawesome-codex-plugins --skill extracting-with-ocr",{"tool":58,"command":59},"pnpm","pnpm dlx skills add hashgraph-online\u002Fawesome-codex-plugins --skill extracting-with-ocr","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Fhashgraph-online\u002Fawesome-codex-plugins\u002Fblob\u002Fmain\u002Fplugins\u002Fkreuzberg-dev\u002Fplugins\u002Fplugins\u002Fkreuzberg\u002Fskills\u002Fextracting-with-ocr\u002FSKILL.md",true,[],[64,72,79,86,112,136],{"skillNo":65,"name":66,"nameZh":6,"description":67,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":68,"categories":69,"keywords":70,"publishedAt":71},"01M746ZWACVKMZ1BJXJZHYJSSX","migrate-to-e2e","Moves an existing Playwright, Cypress, Selenium, Appium, Detox, Maestro, or TesterArmy suite to e2e one slice at a time, with the old suite running beside the new one until each ported test is proven. Keeps a MIGRATION.md progress file so any later session resumes where the last stopped. Optionally plants a defect to show both suites catch it. Use for \u002Fmigrate-to-e2e, \"migrate our tests to e2e\", \"port these Maestro flows\", \"move our TesterArmy tests\", or when a project has an e2e config and an older suite still running.","https:\u002F\u002Fgithub.com\u002Fhashgraph-online\u002Fawesome-codex-plugins\u002Fblob\u002Fmain\u002Fplugins\u002Ftester-army\u002Fe2e\u002Fskills\u002Fmigrate-to-e2e\u002FSKILL.md",[],[],"2026-11-11 15:11:14",{"skillNo":73,"name":74,"nameZh":6,"description":75,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":76,"categories":77,"keywords":78,"publishedAt":71},"01M746ZPTAX1Q0FBKAB1CYND7E","e2e","Writes, runs, and debugs end-to-end tests for web and mobile apps with e2e, the agentic test runner, which mixes agent.act goals with exact locator assertions on a Playwright browser or an iOS or Android device. Also drives a project's running app live over the e2e MCP server to look at a screen, check a UI change, take a screenshot or record a video, and try a locator; and runs bug bashes, parallel e2e explore runs with each bug proven by a repro test. Use when a project depends on e2e or has an e2e.config.ts, when asked for end-to-end, browser, mobile, or agentic UI tests, to check a change in the running app, to QA or bug bash an app or branch, or when an e2e run fails.","https:\u002F\u002Fgithub.com\u002Fhashgraph-online\u002Fawesome-codex-plugins\u002Fblob\u002Fmain\u002Fplugins\u002Ftester-army\u002Fe2e\u002Fskills\u002Fe2e\u002FSKILL.md",[],[],{"skillNo":80,"name":81,"nameZh":6,"description":82,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":83,"categories":84,"keywords":85,"publishedAt":71},"01M746ZJN784HVHMDP9MQGCSGG","create-verification-skill","Generate a project-local verify-\u003Capp> skill on top of e2e, so any coding agent can launch the app, check it is worth driving, exercise a feature the way a user does, keep evidence, and bug bash it. Writes the skill, a feature map with one explore charter per feature, and proves it once. Use for \u002Fcreate-verification-skill, \"make a verification skill for this repo\", or when a project has no scripted way to prove UI behavior.","https:\u002F\u002Fgithub.com\u002Fhashgraph-online\u002Fawesome-codex-plugins\u002Fblob\u002Fmain\u002Fplugins\u002Ftester-army\u002Fe2e\u002Fskills\u002Fcreate-verification-skill\u002FSKILL.md",[],[],{"skillNo":87,"name":88,"nameZh":6,"description":89,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":90,"categories":91,"keywords":92,"publishedAt":34},"01M716A6ETNB9B1SQ3GXZC75VR","deja-search","deja-vu memory — search the user's past AI coding sessions with the deja CLI. Holds what they already settled and never wrote into the repo (naming rules, banned or already-tried tools, required checks before merge, preferred values, who owns what). Use before your first edit in a task, before you call a change done or ready to merge, before you recommend a tool, library, design or reviewer, before re-debugging an error that may already be solved, when they say 'didn't we fix this before', 'what did we decide about X' or 'I already have that', and before telling them something on this machine does not exist.","https:\u002F\u002Fgithub.com\u002Fhashgraph-online\u002Fawesome-codex-plugins\u002Fblob\u002Fmain\u002Fplugins\u002Fvshulcz\u002Fdeja-vu\u002Fskills\u002Fdeja-search\u002FSKILL.md",[],[93,94,95,96,97,98,99,100,101,102,103,33,104,105,106,107,108,109,110,111],"search","deja search","never","error","ready","memory","re","decide","fix","design","debugging","you","done","reviewer","io","change","cli","merge","past",{"skillNo":113,"name":114,"nameZh":6,"description":115,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":116,"categories":117,"keywords":118,"publishedAt":34},"01M716A3J2W5SENSE9VGMXB375","deja-reflect","End-of-session reflection and memory curation with deja-vu. Review what was decided, what commands broke and what repaired them, and record durable project rules or decisions with deja remember so the next session starts with them.","https:\u002F\u002Fgithub.com\u002Fhashgraph-online\u002Fawesome-codex-plugins\u002Fblob\u002Fmain\u002Fplugins\u002Fvshulcz\u002Fdeja-vu\u002Fskills\u002Fdeja-reflect\u002FSKILL.md",[],[119,120,121,107,20,122,123,124,125,126,127,128,129,130,98,131,132,133,134,135],"deja reflect","reflect","review","record","github","next","https","node","Rules","decisions","brew","remember","project rules","project","session","end","reflection",{"skillNo":137,"name":138,"nameZh":6,"description":139,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":140,"categories":141,"keywords":153,"publishedAt":34},"01M715T3RR4BAYSR57HPPTJ0PF","revid","Make, edit, export and post AI videos with Revid (revid.ai) through the Revid MCP server. Use whenever the user wants a short-form or long-form video made (from an idea, a script, a URL, an article, a PDF, a tweet, a product page, their own clips, or a song), wants to find what is going viral on TikTok, YouTube, Instagram or X before making something, wants to edit or re-export an existing Revid project, generate a standalone AI image or clip, make a series episode, or publish and schedule a finished video to connected social accounts. Covers setup (hosted MCP with OAuth, or an API key), the 36 tools, credits, polling and the rules for publishing. Routes to the more specific revid-* skills when one fits.","https:\u002F\u002Fgithub.com\u002Fhashgraph-online\u002Fawesome-codex-plugins\u002Fblob\u002Fmain\u002Fplugins\u002Ftmakersas\u002Frevid-skills\u002Fskills\u002Frevid\u002FSKILL.md",[142,147,150],{"categoryNo":143,"categoryName":144,"taxonomyType":145,"taxonomyTypeDesc":146},"01JBSEEDCAT000000000000016","图像与多媒体","SCENARIO","使用场景",{"categoryNo":148,"categoryName":149,"taxonomyType":145,"taxonomyTypeDesc":146},"01JBSEEDCAT000000000000023","Skill与智能体开发",{"categoryNo":151,"categoryName":152,"taxonomyType":145,"taxonomyTypeDesc":146},"01JBSEEDCAT000000000000010","后端与接口",[138,154,155,156,157,158,159,132,160,99,161,162,163,164,33,165,166,167,168,169],"URL","Video","short-form","standalone","PDF","viral","tiktok","short","social","MCP","song","image","mcp server","schedule","api","publish"]