[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6XEEEKBWEK60M1JVV2JXAEK":3,"skill-same:01M6XEEEKBWEK60M1JVV2JXAEK":63},{"skillNo":4,"name":5,"nameZh":6,"description":7,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":9,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":15,"categories":16,"keywords":27,"publishedAt":37,"linkOnly":38,"markdownContent":39,"markdownBody":40,"frontMatter":41,"refName":42,"commitSha":43,"skillDirectory":44,"forksCount":13,"repositoryHtmlUrl":45,"repositoryHomepageUrl":6,"ownerHtmlUrl":46,"ownerBlogUrl":6,"ownerDescription":47,"updatedAt":48,"install":49,"resources":62},"01M6XEEEKBWEK60M1JVV2JXAEK","docx",null,"Word document manipulation with python-docx - handling split placeholders, headers\u002Ffooters, nested tables","Waaaalnut\u002Fskillsbench","Waaaalnut","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F103995656?v=4","01M6XCS9K1V51EY3JMB7DGMX24","01M6XCS9Q4WPW88W62C55G1H44",0,"Apache-2.0","https:\u002F\u002Fgithub.com\u002FWaaaalnut\u002Fskillsbench\u002Fblob\u002Fmain\u002Ftasks\u002Foffer-letter-generator\u002Fenvironment\u002Fskills\u002Fdocx\u002FSKILL.md",[17,22],{"categoryNo":18,"categoryName":19,"taxonomyType":20,"taxonomyTypeDesc":21},"01JBSEEDCAT000000000000002","文档处理","SCENARIO","使用场景",{"categoryNo":23,"categoryName":24,"taxonomyType":25,"taxonomyTypeDesc":26},"01JBSEEDCAT000000000000034","行政与办公人员","PROFESSION","适用职业",[5,28,29,30,31,32,33,34,35,36],"python","Word","nested","document","with","headers","tables","python-docx","split","2026-11-10 10:12:30",false,"---\nname: docx\ndescription: Word document manipulation with python-docx - handling split placeholders, headers\u002Ffooters, nested tables\n---\n\n# Word Document Manipulation with python-docx\n\n## Critical: Split Placeholder Problem\n\n**The #1 issue with Word templates**: Word often splits placeholder text across multiple XML runs. For example, `{{CANDIDATE_NAME}}` might be stored as:\n- Run 1: `{{CANDI`\n- Run 2: `DATE_NAME}}`\n\nThis happens due to spell-check, formatting changes, or Word's internal XML structure.\n\n### Naive Approach (FAILS on split placeholders)\n\n```python\n# DON'T DO THIS - won't find split placeholders\nfor para in doc.paragraphs:\n    for run in para.runs:\n        if '{{NAME}}' in run.text:  # Won't match if split!\n            run.text = run.text.replace('{{NAME}}', value)\n```\n\n### Correct Approach: Paragraph-Level Search and Rebuild\n\n```python\nimport re\n\ndef replace_placeholder_robust(paragraph, placeholder, value):\n    \"\"\"Replace placeholder that may be split across runs.\"\"\"\n    full_text = paragraph.text\n    if placeholder not in full_text:\n        return False\n\n    # Find all runs and their positions\n    runs = paragraph.runs\n    if not runs:\n        return False\n\n    # Build mapping of character positions to runs\n    char_to_run = []\n    for run in runs:\n        for char in run.text:\n            char_to_run.append(run)\n\n    # Find placeholder position\n    start_idx = full_text.find(placeholder)\n    end_idx = start_idx + len(placeholder)\n\n    # Get runs that contain the placeholder\n    if start_idx >= len(char_to_run):\n        return False\n\n    start_run = char_to_run[start_idx]\n\n    # Clear all runs and rebuild with replacement\n    new_text = full_text.replace(placeholder, str(value))\n\n    # Preserve first run's formatting, clear others\n    for i, run in enumerate(runs):\n        if i == 0:\n            run.text = new_text\n        else:\n            run.text = ''\n\n    return True\n```\n\n### Best Practice: Regex-Based Full Replacement\n\n```python\nimport re\nfrom docx import Document\n\ndef replace_all_placeholders(doc, data):\n    \"\"\"Replace all {{KEY}} placeholders with values from data dict.\"\"\"\n\n    def replace_in_paragraph(para):\n        \"\"\"Replace placeholders in a single paragraph.\"\"\"\n        text = para.text\n        # Find all placeholders\n        pattern = r'\\{\\{([A-Z_]+)\\}\\}'\n        matches = re.findall(pattern, text)\n\n        if not matches:\n            return\n\n        # Build new text with replacements\n        new_text = text\n        for key in matches:\n            placeholder = '{{' + key + '}}'\n            if key in data:\n                new_text = new_text.replace(placeholder, str(data[key]))\n\n        # If text changed, rebuild paragraph\n        if new_text != text:\n            # Clear all runs, put new text in first run\n            runs = para.runs\n            if runs:\n                runs[0].text = new_text\n                for run in runs[1:]:\n                    run.text = ''\n\n    # Process all paragraphs\n    for para in doc.paragraphs:\n        replace_in_paragraph(para)\n\n    # Process tables (including nested)\n    for table in doc.tables:\n        for row in table.rows:\n            for cell in row.cells:\n                for para in cell.paragraphs:\n                    replace_in_paragraph(para)\n                # Handle nested tables\n                for nested_table in cell.tables:\n                    for nested_row in nested_table.rows:\n                        for nested_cell in nested_row.cells:\n                            for para in nested_cell.paragraphs:\n                                replace_in_paragraph(para)\n\n    # Process headers and footers\n    for section in doc.sections:\n        for para in section.header.paragraphs:\n            replace_in_paragraph(para)\n        for para in section.footer.paragraphs:\n            replace_in_paragraph(para)\n```\n\n## Headers and Footers\n\nHeaders\u002Ffooters are separate from main document body:\n\n```python\nfrom docx import Document\n\ndoc = Document('template.docx')\n\n# Access headers\u002Ffooters through sections\nfor section in doc.sections:\n    # Header\n    header = section.header\n    for para in header.paragraphs:\n        # Process paragraphs\n        pass\n\n    # Footer\n    footer = section.footer\n    for para in footer.paragraphs:\n        # Process paragraphs\n        pass\n```\n\n## Nested Tables\n\nTables can contain other tables. Must recurse:\n\n```python\ndef process_table(table, data):\n    \"\"\"Process table including nested tables.\"\"\"\n    for row in table.rows:\n        for cell in row.cells:\n            # Process paragraphs in cell\n            for para in cell.paragraphs:\n                replace_in_paragraph(para, data)\n\n            # Recurse into nested tables\n            for nested_table in cell.tables:\n                process_table(nested_table, data)\n```\n\n## Conditional Sections\n\nFor `{{IF_CONDITION}}...{{END_IF_CONDITION}}` patterns:\n\n```python\ndef handle_conditional(doc, condition_key, should_include, data):\n    \"\"\"Remove or keep conditional sections.\"\"\"\n    start_marker = '{{IF_' + condition_key + '}}'\n    end_marker = '{{END_IF_' + condition_key + '}}'\n\n    for para in doc.paragraphs:\n        text = para.text\n        if start_marker in text and end_marker in text:\n            if should_include:\n                # Remove just the markers\n                new_text = text.replace(start_marker, '').replace(end_marker, '')\n                # Also replace any placeholders inside\n                for key, val in data.items():\n                    new_text = new_text.replace('{{' + key + '}}', str(val))\n            else:\n                # Remove entire content between markers\n                new_text = ''\n\n            # Apply to first run\n            if para.runs:\n                para.runs[0].text = new_text\n                for run in para.runs[1:]:\n                    run.text = ''\n```\n\n## Complete Solution Pattern\n\n```python\nfrom docx import Document\nimport json\nimport re\n\ndef fill_template(template_path, data_path, output_path):\n    \"\"\"Fill Word template handling all edge cases.\"\"\"\n\n    # Load data\n    with open(data_path) as f:\n        data = json.load(f)\n\n    # Load template\n    doc = Document(template_path)\n\n    def replace_in_para(para):\n        text = para.text\n        pattern = r'\\{\\{([A-Z_]+)\\}\\}'\n        if not re.search(pattern, text):\n            return\n\n        new_text = text\n        for match in re.finditer(pattern, text):\n            key = match.group(1)\n            placeholder = match.group(0)\n            if key in data:\n                new_text = new_text.replace(placeholder, str(data[key]))\n\n        if new_text != text and para.runs:\n            para.runs[0].text = new_text\n            for run in para.runs[1:]:\n                run.text = ''\n\n    # Main document\n    for para in doc.paragraphs:\n        replace_in_para(para)\n\n    # Tables (with nesting)\n    def process_table(table):\n        for row in table.rows:\n            for cell in row.cells:\n                for para in cell.paragraphs:\n                    replace_in_para(para)\n                for nested in cell.tables:\n                    process_table(nested)\n\n    for table in doc.tables:\n        process_table(table)\n\n    # Headers\u002FFooters\n    for section in doc.sections:\n        for para in section.header.paragraphs:\n            replace_in_para(para)\n        for para in section.footer.paragraphs:\n            replace_in_para(para)\n\n    doc.save(output_path)\n\n# Usage\nfill_template('template.docx', 'data.json', 'output.docx')\n```\n\n## Common Pitfalls\n\n1. **Forgetting headers\u002Ffooters** - They're not in `doc.paragraphs`\n2. **Missing nested tables** - Must recurse into `cell.tables`\n3. **Split placeholders** - Always work at paragraph level, not run level\n4. **Losing formatting** - Keep first run's formatting when rebuilding\n5. **Conditional markers left behind** - Remove `{{IF_...}}` markers after processing\n","# Word Document Manipulation with python-docx\n\n## Critical: Split Placeholder Problem\n\n**The #1 issue with Word templates**: Word often splits placeholder text across multiple XML runs. For example, `{{CANDIDATE_NAME}}` might be stored as:\n- Run 1: `{{CANDI`\n- Run 2: `DATE_NAME}}`\n\nThis happens due to spell-check, formatting changes, or Word's internal XML structure.\n\n### Naive Approach (FAILS on split placeholders)\n\n```python\n# DON'T DO THIS - won't find split placeholders\nfor para in doc.paragraphs:\n    for run in para.runs:\n        if '{{NAME}}' in run.text:  # Won't match if split!\n            run.text = run.text.replace('{{NAME}}', value)\n```\n\n### Correct Approach: Paragraph-Level Search and Rebuild\n\n```python\nimport re\n\ndef replace_placeholder_robust(paragraph, placeholder, value):\n    \"\"\"Replace placeholder that may be split across runs.\"\"\"\n    full_text = paragraph.text\n    if placeholder not in full_text:\n        return False\n\n    # Find all runs and their positions\n    runs = paragraph.runs\n    if not runs:\n        return False\n\n    # Build mapping of character positions to runs\n    char_to_run = []\n    for run in runs:\n        for char in run.text:\n            char_to_run.append(run)\n\n    # Find placeholder position\n    start_idx = full_text.find(placeholder)\n    end_idx = start_idx + len(placeholder)\n\n    # Get runs that contain the placeholder\n    if start_idx >= len(char_to_run):\n        return False\n\n    start_run = char_to_run[start_idx]\n\n    # Clear all runs and rebuild with replacement\n    new_text = full_text.replace(placeholder, str(value))\n\n    # Preserve first run's formatting, clear others\n    for i, run in enumerate(runs):\n        if i == 0:\n            run.text = new_text\n        else:\n            run.text = ''\n\n    return True\n```\n\n### Best Practice: Regex-Based Full Replacement\n\n```python\nimport re\nfrom docx import Document\n\ndef replace_all_placeholders(doc, data):\n    \"\"\"Replace all {{KEY}} placeholders with values from data dict.\"\"\"\n\n    def replace_in_paragraph(para):\n        \"\"\"Replace placeholders in a single paragraph.\"\"\"\n        text = para.text\n        # Find all placeholders\n        pattern = r'\\{\\{([A-Z_]+)\\}\\}'\n        matches = re.findall(pattern, text)\n\n        if not matches:\n            return\n\n        # Build new text with replacements\n        new_text = text\n        for key in matches:\n            placeholder = '{{' + key + '}}'\n            if key in data:\n                new_text = new_text.replace(placeholder, str(data[key]))\n\n        # If text changed, rebuild paragraph\n        if new_text != text:\n            # Clear all runs, put new text in first run\n            runs = para.runs\n            if runs:\n                runs[0].text = new_text\n                for run in runs[1:]:\n                    run.text = ''\n\n    # Process all paragraphs\n    for para in doc.paragraphs:\n        replace_in_paragraph(para)\n\n    # Process tables (including nested)\n    for table in doc.tables:\n        for row in table.rows:\n            for cell in row.cells:\n                for para in cell.paragraphs:\n                    replace_in_paragraph(para)\n                # Handle nested tables\n                for nested_table in cell.tables:\n                    for nested_row in nested_table.rows:\n                        for nested_cell in nested_row.cells:\n                            for para in nested_cell.paragraphs:\n                                replace_in_paragraph(para)\n\n    # Process headers and footers\n    for section in doc.sections:\n        for para in section.header.paragraphs:\n            replace_in_paragraph(para)\n        for para in section.footer.paragraphs:\n            replace_in_paragraph(para)\n```\n\n## Headers and Footers\n\nHeaders\u002Ffooters are separate from main document body:\n\n```python\nfrom docx import Document\n\ndoc = Document('template.docx')\n\n# Access headers\u002Ffooters through sections\nfor section in doc.sections:\n    # Header\n    header = section.header\n    for para in header.paragraphs:\n        # Process paragraphs\n        pass\n\n    # Footer\n    footer = section.footer\n    for para in footer.paragraphs:\n        # Process paragraphs\n        pass\n```\n\n## Nested Tables\n\nTables can contain other tables. Must recurse:\n\n```python\ndef process_table(table, data):\n    \"\"\"Process table including nested tables.\"\"\"\n    for row in table.rows:\n        for cell in row.cells:\n            # Process paragraphs in cell\n            for para in cell.paragraphs:\n                replace_in_paragraph(para, data)\n\n            # Recurse into nested tables\n            for nested_table in cell.tables:\n                process_table(nested_table, data)\n```\n\n## Conditional Sections\n\nFor `{{IF_CONDITION}}...{{END_IF_CONDITION}}` patterns:\n\n```python\ndef handle_conditional(doc, condition_key, should_include, data):\n    \"\"\"Remove or keep conditional sections.\"\"\"\n    start_marker = '{{IF_' + condition_key + '}}'\n    end_marker = '{{END_IF_' + condition_key + '}}'\n\n    for para in doc.paragraphs:\n        text = para.text\n        if start_marker in text and end_marker in text:\n            if should_include:\n                # Remove just the markers\n                new_text = text.replace(start_marker, '').replace(end_marker, '')\n                # Also replace any placeholders inside\n                for key, val in data.items():\n                    new_text = new_text.replace('{{' + key + '}}', str(val))\n            else:\n                # Remove entire content between markers\n                new_text = ''\n\n            # Apply to first run\n            if para.runs:\n                para.runs[0].text = new_text\n                for run in para.runs[1:]:\n                    run.text = ''\n```\n\n## Complete Solution Pattern\n\n```python\nfrom docx import Document\nimport json\nimport re\n\ndef fill_template(template_path, data_path, output_path):\n    \"\"\"Fill Word template handling all edge cases.\"\"\"\n\n    # Load data\n    with open(data_path) as f:\n        data = json.load(f)\n\n    # Load template\n    doc = Document(template_path)\n\n    def replace_in_para(para):\n        text = para.text\n        pattern = r'\\{\\{([A-Z_]+)\\}\\}'\n        if not re.search(pattern, text):\n            return\n\n        new_text = text\n        for match in re.finditer(pattern, text):\n            key = match.group(1)\n            placeholder = match.group(0)\n            if key in data:\n                new_text = new_text.replace(placeholder, str(data[key]))\n\n        if new_text != text and para.runs:\n            para.runs[0].text = new_text\n            for run in para.runs[1:]:\n                run.text = ''\n\n    # Main document\n    for para in doc.paragraphs:\n        replace_in_para(para)\n\n    # Tables (with nesting)\n    def process_table(table):\n        for row in table.rows:\n            for cell in row.cells:\n                for para in cell.paragraphs:\n                    replace_in_para(para)\n                for nested in cell.tables:\n                    process_table(nested)\n\n    for table in doc.tables:\n        process_table(table)\n\n    # Headers\u002FFooters\n    for section in doc.sections:\n        for para in section.header.paragraphs:\n            replace_in_para(para)\n        for para in section.footer.paragraphs:\n            replace_in_para(para)\n\n    doc.save(output_path)\n\n# Usage\nfill_template('template.docx', 'data.json', 'output.docx')\n```\n\n## Common Pitfalls\n\n1. **Forgetting headers\u002Ffooters** - They're not in `doc.paragraphs`\n2. **Missing nested tables** - Must recurse into `cell.tables`\n3. **Split placeholders** - Always work at paragraph level, not run level\n4. **Losing formatting** - Keep first run's formatting when rebuilding\n5. **Conditional markers left behind** - Remove `{{IF_...}}` markers after processing\n",{"name":5,"description":7},"main","7eeb258ada72b7f58119b0e7a2c00ea89d9beedd","tasks\u002Foffer-letter-generator\u002Fenvironment\u002Fskills\u002Fdocx","https:\u002F\u002Fgithub.com\u002FWaaaalnut\u002Fskillsbench","https:\u002F\u002Fgithub.com\u002FWaaaalnut","student of Zhejiang University","2026-04-21 23:16:23",{"source":8,"skillName":5,"commands":50,"prompt":60,"zipAvailable":61},[51,54,57],{"tool":52,"command":53},"npx","npx skills add Waaaalnut\u002Fskillsbench --skill docx",{"tool":55,"command":56},"bunx","bunx skills add Waaaalnut\u002Fskillsbench --skill docx",{"tool":58,"command":59},"pnpm","pnpm dlx skills add Waaaalnut\u002Fskillsbench --skill docx","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002FWaaaalnut\u002Fskillsbench\u002Fblob\u002Fmain\u002Ftasks\u002Foffer-letter-generator\u002Fenvironment\u002Fskills\u002Fdocx\u002FSKILL.md",true,[],[64,76,91,117,139,158],{"skillNo":65,"name":66,"nameZh":6,"description":6,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":9,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":67,"categories":68,"keywords":72,"publishedAt":37},"01M6XEWMJ6VY3ZC53MPDCPG3GH","data-reconciliation","https:\u002F\u002Fgithub.com\u002FWaaaalnut\u002Fskillsbench\u002Fblob\u002Fmain\u002Ftasks\u002Fxlsx-recover-data\u002Fenvironment\u002Fskills\u002Fdata-reconciliation\u002FSKILL.md",[69],{"categoryNo":70,"categoryName":71,"taxonomyType":25,"taxonomyTypeDesc":26},"01JBSEEDCAT000000000000033","数据分析师",[73,74,75],"data reconciliation","reconciliation","data",{"skillNo":77,"name":78,"nameZh":6,"description":79,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":9,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":80,"categories":81,"keywords":82,"publishedAt":37},"01M6XEW8MNPMF1KRXV6ATGFRQF","speech-to-text","Transcribe video to timestamped text using Whisper tiny model (pre-installed).","https:\u002F\u002Fgithub.com\u002FWaaaalnut\u002Fskillsbench\u002Fblob\u002Fmain\u002Ftasks\u002Fvideo-tutorial-indexer\u002Fenvironment\u002Fskills\u002Fspeech-to-text\u002FSKILL.md",[],[83,84,85,86,87,88,89,90],"speech","text","speech to text","transcribe video","whisper","model","Video","transcribe",{"skillNo":92,"name":93,"nameZh":6,"description":94,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":9,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":95,"categories":96,"keywords":100,"publishedAt":37},"01M6XEW3FQZP0T1RKQQJFXVY9T","video-processor","Process videos by removing segments and concatenating remaining parts. Use when you need to remove detected pauses\u002Fopenings from videos, create highlight reels, or batch process segment removals using ffmpeg filter_complex.","https:\u002F\u002Fgithub.com\u002FWaaaalnut\u002Fskillsbench\u002Fblob\u002Fmain\u002Ftasks\u002Fvideo-silence-remover\u002Fenvironment\u002Fskills\u002Fvideo-processor\u002FSKILL.md",[97],{"categoryNo":98,"categoryName":99,"taxonomyType":20,"taxonomyTypeDesc":21},"01JBSEEDCAT000000000000016","图像与多媒体",[89,101,102,103,104,105,106,107,108,109,110,111,112,113,114,115,116],"processor","video processor","batch","create","reels","when","parts","segments","process","videos","you","segment","filter","ffmpeg","use","remove",{"skillNo":118,"name":119,"nameZh":6,"description":120,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":9,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":121,"categories":122,"keywords":124,"publishedAt":37},"01M6XEVXJ5KZ0NTY3XZKRY4AS1","silence-detector","Detect initial silence segments in audio\u002Fvideo using energy-based analysis. Use when you need to find low-energy periods at the start of recordings (title slides, setup time, pre-roll silence).","https:\u002F\u002Fgithub.com\u002FWaaaalnut\u002Fskillsbench\u002Fblob\u002Fmain\u002Ftasks\u002Fvideo-silence-remover\u002Fenvironment\u002Fskills\u002Fsilence-detector\u002FSKILL.md",[123],{"categoryNo":98,"categoryName":99,"taxonomyType":20,"taxonomyTypeDesc":21},[125,126,127,128,106,111,129,130,131,132,133,108,134,135,89,136,137,138,115],"detector","silence detector","title","slides","time","energy","at","recordings","detect","find","Audio","analysis","start","setup",{"skillNo":140,"name":141,"nameZh":6,"description":142,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":9,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":143,"categories":144,"keywords":145,"publishedAt":37},"01M6XEVT3NGRN1FT7JPMAPXS6M","segment-combiner","Combine multiple segment detection results into a unified list. Use when you need to merge segments from different detectors, prepare removal lists for video processing, or consolidate detection outputs.","https:\u002F\u002Fgithub.com\u002FWaaaalnut\u002Fskillsbench\u002Fblob\u002Fmain\u002Ftasks\u002Fvideo-silence-remover\u002Fenvironment\u002Fskills\u002Fsegment-combiner\u002FSKILL.md",[],[112,146,89,147,148,149,150,151,106,152,153,108,111,154,155,115,156,157],"segment combiner","detection","prepare","merge","video processing","for","outputs","combine","processing","consolidate","results","list",{"skillNo":159,"name":160,"nameZh":6,"description":161,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":9,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":162,"categories":163,"keywords":165,"publishedAt":37},"01M6XEVMPVASGS2KX86QK4FMT7","report-generator","Generate compression reports for video processing. Use when you need to create structured JSON reports with duration statistics, compression ratios, and segment details after video processing.","https:\u002F\u002Fgithub.com\u002FWaaaalnut\u002Fskillsbench\u002Fblob\u002Fmain\u002Ftasks\u002Fvideo-silence-remover\u002Fenvironment\u002Fskills\u002Freport-generator\u002FSKILL.md",[164],{"categoryNo":23,"categoryName":24,"taxonomyType":25,"taxonomyTypeDesc":26},[166,167,168,112,106,151,111,32,154,169,170,171,115,150,172,89,173,174,104],"generator","report generator","report","statistics","structured","reports","json","compression","generate"]