[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6MJ1XCDH3QPQCDPXPSVRFDD":3,"skill-same:01M6MJ1XCDH3QPQCDPXPSVRFDD":64},{"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":35,"linkOnly":36,"markdownContent":37,"markdownBody":38,"frontMatter":39,"refName":40,"commitSha":41,"skillDirectory":42,"forksCount":43,"repositoryHtmlUrl":44,"repositoryHomepageUrl":45,"ownerHtmlUrl":46,"ownerBlogUrl":47,"ownerDescription":48,"updatedAt":49,"install":50,"resources":63},"01M6MJ1XCDH3QPQCDPXPSVRFDD","picking-a-format",null,"Use when choosing an output format for extracted documents — text, markdown, djot, html, or JSON. Maps consumer (LLM, parser, archive) to the right `--format` \u002F `--content-format` pair.","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\u002Fpicking-a-format\u002FSKILL.md",[],[19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34],"format","picking a format","documents","content","markdown","archive","json","text","parser","pair","use","html","maps","output","for","when","2026-11-10 10:12:30",false,"---\nname: picking-a-format\ndescription: Use when choosing an output format for extracted documents — text, markdown, djot, html, or JSON. Maps consumer (LLM, parser, archive) to the right `--format` \u002F `--content-format` pair.\n---\n\n# Picking a format\n\nKreuzberg has two orthogonal format knobs. Get them right up front and the\ndownstream code stays simple.\n\n| Knob                | What it controls                                  | Values                                 | Default          |\n| ------------------- | ------------------------------------------------- | -------------------------------------- | ---------------- |\n| `--format`          | How the CLI prints the result                     | `text`, `json`                         | `text` (`extract`), `json` (`batch`) |\n| `--content-format`  | How extracted content is rendered inside `result` | `plain`, `markdown`, `djot`, `html`    | `plain`          |\n| `--token-reduction` | Strip whitespace \u002F boilerplate for LLM contexts   | `off`, `light`, `moderate`, `aggressive` | `off`          |\n\n`--format json` always returns the full `ExtractionResult` (content +\nmetadata + tables + images). `--format text` prints just `content`.\n`--content-format` is what shows up inside that `content` field.\n\n## Decision tree\n\n```text\nWho consumes the output?\n├── LLM (Claude, GPT, Gemini, local) — embed\u002Fprompt context\n│       --format text --content-format markdown\n├── Vector store \u002F RAG indexer\n│       --format json --content-format markdown\n│       (markdown preserves structure for chunking)\n├── Downstream parser that expects machine-readable JSON\n│       --format json --content-format plain\n│       (cleanest text + structured metadata)\n├── Human review \u002F archival\n│       --format text --content-format markdown\n├── HTML re-rendering \u002F web display\n│       --format json --content-format html\n├── Lossless intermediate for pandoc \u002F academic tooling\n│       --format json --content-format djot\n└── Token-budget-constrained pipeline\n        --format text --content-format plain\n        (drops markup; add --token-reduction moderate for further savings)\n```\n\n## Examples\n\nFeed a PDF directly into an LLM:\n\n```bash\nkreuzberg extract paper.pdf --content-format markdown\n```\n\nIndex a corpus into a RAG store with tables and headings preserved:\n\n```bash\nkreuzberg batch docs\u002F*.pdf --format json --content-format markdown \\\n  | jq -c '.[] | {path: .metadata.path, content: .content, tables: .tables}'\n```\n\nStrip a file to bare text for a token-tight summarizer:\n\n```bash\nkreuzberg extract long.pdf \\\n  --content-format plain \\\n  --token-reduction moderate\n```\n\nPull metadata only, ignore content:\n\n```bash\nkreuzberg extract file.pdf --format json | jq '.metadata'\n```\n\n## When in doubt\n\n- **Default to `markdown`** as the content format. It is the best\n  compromise across LLMs, RAG, and human review, and Kreuzberg has the\n  most faithful renderer for it.\n- Reach for `plain` only when downstream cannot tolerate any markup.\n- Reach for `djot` only if you're already in a djot\u002Fpandoc pipeline.\n- Reach for `html` only when re-rendering for the web.\n\n## Token-reduction (orthogonal)\n\n`--token-reduction` collapses whitespace, strips repeated headers\u002Ffooters,\nand trims boilerplate. It composes with any `--content-format`:\n\n- `off` (default), `light`, `moderate`, `aggressive`, `maximum`.\n\nUse `moderate` as a safe starting point for LLM context windows. `maximum`\nis lossy — verify before relying on it.\n\nSee `references\u002Fcli-reference.md` for the full flag set and\n`references\u002Fconfiguration.md` for the equivalent `output_format` and\n`token_reduction` keys in `kreuzberg.toml`.\n","# Picking a format\n\nKreuzberg has two orthogonal format knobs. Get them right up front and the\ndownstream code stays simple.\n\n| Knob                | What it controls                                  | Values                                 | Default          |\n| ------------------- | ------------------------------------------------- | -------------------------------------- | ---------------- |\n| `--format`          | How the CLI prints the result                     | `text`, `json`                         | `text` (`extract`), `json` (`batch`) |\n| `--content-format`  | How extracted content is rendered inside `result` | `plain`, `markdown`, `djot`, `html`    | `plain`          |\n| `--token-reduction` | Strip whitespace \u002F boilerplate for LLM contexts   | `off`, `light`, `moderate`, `aggressive` | `off`          |\n\n`--format json` always returns the full `ExtractionResult` (content +\nmetadata + tables + images). `--format text` prints just `content`.\n`--content-format` is what shows up inside that `content` field.\n\n## Decision tree\n\n```text\nWho consumes the output?\n├── LLM (Claude, GPT, Gemini, local) — embed\u002Fprompt context\n│       --format text --content-format markdown\n├── Vector store \u002F RAG indexer\n│       --format json --content-format markdown\n│       (markdown preserves structure for chunking)\n├── Downstream parser that expects machine-readable JSON\n│       --format json --content-format plain\n│       (cleanest text + structured metadata)\n├── Human review \u002F archival\n│       --format text --content-format markdown\n├── HTML re-rendering \u002F web display\n│       --format json --content-format html\n├── Lossless intermediate for pandoc \u002F academic tooling\n│       --format json --content-format djot\n└── Token-budget-constrained pipeline\n        --format text --content-format plain\n        (drops markup; add --token-reduction moderate for further savings)\n```\n\n## Examples\n\nFeed a PDF directly into an LLM:\n\n```bash\nkreuzberg extract paper.pdf --content-format markdown\n```\n\nIndex a corpus into a RAG store with tables and headings preserved:\n\n```bash\nkreuzberg batch docs\u002F*.pdf --format json --content-format markdown \\\n  | jq -c '.[] | {path: .metadata.path, content: .content, tables: .tables}'\n```\n\nStrip a file to bare text for a token-tight summarizer:\n\n```bash\nkreuzberg extract long.pdf \\\n  --content-format plain \\\n  --token-reduction moderate\n```\n\nPull metadata only, ignore content:\n\n```bash\nkreuzberg extract file.pdf --format json | jq '.metadata'\n```\n\n## When in doubt\n\n- **Default to `markdown`** as the content format. It is the best\n  compromise across LLMs, RAG, and human review, and Kreuzberg has the\n  most faithful renderer for it.\n- Reach for `plain` only when downstream cannot tolerate any markup.\n- Reach for `djot` only if you're already in a djot\u002Fpandoc pipeline.\n- Reach for `html` only when re-rendering for the web.\n\n## Token-reduction (orthogonal)\n\n`--token-reduction` collapses whitespace, strips repeated headers\u002Ffooters,\nand trims boilerplate. It composes with any `--content-format`:\n\n- `off` (default), `light`, `moderate`, `aggressive`, `maximum`.\n\nUse `moderate` as a safe starting point for LLM context windows. `maximum`\nis lossy — verify before relying on it.\n\nSee `references\u002Fcli-reference.md` for the full flag set and\n`references\u002Fconfiguration.md` for the equivalent `output_format` and\n`token_reduction` keys in `kreuzberg.toml`.\n",{"name":5,"description":7},"main","2b63f856ce19c2a797929cacabd9e0fc936812fa","plugins\u002Fkreuzberg-dev\u002Fplugins\u002Fplugins\u002Fkreuzberg\u002Fskills\u002Fpicking-a-format",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":51,"prompt":61,"zipAvailable":62},[52,55,58],{"tool":53,"command":54},"npx","npx skills add hashgraph-online\u002Fawesome-codex-plugins --skill picking-a-format",{"tool":56,"command":57},"bunx","bunx skills add hashgraph-online\u002Fawesome-codex-plugins --skill picking-a-format",{"tool":59,"command":60},"pnpm","pnpm dlx skills add hashgraph-online\u002Fawesome-codex-plugins --skill picking-a-format","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\u002Fpicking-a-format\u002FSKILL.md",true,[],[65,73,80,87,113,138],{"skillNo":66,"name":67,"nameZh":6,"description":68,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":69,"categories":70,"keywords":71,"publishedAt":72},"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":74,"name":75,"nameZh":6,"description":76,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":77,"categories":78,"keywords":79,"publishedAt":72},"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":81,"name":82,"nameZh":6,"description":83,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":84,"categories":85,"keywords":86,"publishedAt":72},"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":88,"name":89,"nameZh":6,"description":90,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":91,"categories":92,"keywords":93,"publishedAt":35},"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",[],[94,95,96,97,98,99,100,101,102,103,104,34,105,106,107,108,109,110,111,112],"search","deja search","never","error","ready","memory","re","decide","fix","design","debugging","you","done","reviewer","io","change","cli","merge","past",{"skillNo":114,"name":115,"nameZh":6,"description":116,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":117,"categories":118,"keywords":119,"publishedAt":35},"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",[],[120,121,122,108,123,124,125,126,127,128,129,130,131,132,99,133,134,135,136,137],"deja reflect","reflect","review","with","record","github","next","https","node","Rules","decisions","brew","remember","project rules","project","session","end","reflection",{"skillNo":139,"name":140,"nameZh":6,"description":141,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":142,"categories":143,"keywords":155,"publishedAt":35},"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",[144,149,152],{"categoryNo":145,"categoryName":146,"taxonomyType":147,"taxonomyTypeDesc":148},"01JBSEEDCAT000000000000016","图像与多媒体","SCENARIO","使用场景",{"categoryNo":150,"categoryName":151,"taxonomyType":147,"taxonomyTypeDesc":148},"01JBSEEDCAT000000000000023","Skill与智能体开发",{"categoryNo":153,"categoryName":154,"taxonomyType":147,"taxonomyTypeDesc":148},"01JBSEEDCAT000000000000010","后端与接口",[140,156,157,158,159,160,161,134,162,100,163,164,165,166,34,167,168,169,170,171],"URL","Video","short-form","standalone","PDF","viral","tiktok","short","social","MCP","song","image","mcp server","schedule","api","publish"]