[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6DJBNHMEM8KEQ7QGJEP7AC7":3,"skill-same:01M6DJBNHMEM8KEQ7QGJEP7AC7":106},{"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":17,"publishedAt":38,"linkOnly":39,"markdownContent":40,"markdownBody":41,"frontMatter":42,"refName":44,"commitSha":45,"skillDirectory":46,"forksCount":13,"repositoryHtmlUrl":47,"repositoryHomepageUrl":6,"ownerHtmlUrl":48,"ownerBlogUrl":6,"ownerDescription":6,"updatedAt":49,"install":50,"resources":63},"01M6DJBNHMEM8KEQ7QGJEP7AC7","context-bundling",null,"Create technical bundles of code, design, and documentation for external review or context sharing. Use when you need to package multiple project files into a single Markdown file while preserving folder hierarchy and providing contextual notes for each file.","richfrem\u002Fmanchurian-agent-poc","richfrem","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F36930640?v=4","01M6DJB3Y2NK4D0039PAT41PJ4","01M6DJB43VC2VTX0M6DQ2983H0",1,"MIT","https:\u002F\u002Fgithub.com\u002Frichfrem\u002Fmanchurian-agent-poc\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fcontext-bundling\u002FSKILL.md",[],[18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37],"context bundling","context","markdown","project","bundles","files","use","write","read","technical","design","Bash","sharing","file","package","code","create","notes","documentation","review","2026-11-10 10:12:30",false,"---\nname: context-bundling\ndescription: Create technical bundles of code, design, and documentation for external review or context sharing. Use when you need to package multiple project files into a single Markdown file while preserving folder hierarchy and providing contextual notes for each file.\nallowed-tools: Bash, Read, Write\n---\n# Context Bundling Skill ?\n\n## Overview\nThis skill centralizes the knowledge and workflows for creating \"Context Bundles.\" These bundles are essential for compiling large amounts of code and design context into a single, portable Markdown file for sharing with other AI agents or for human review.\n\n## ? Primary Directive\n**Curate, Consolidate, and Convey.** You do not just \"list files\"; you architect context. You ensure that any bundle you create is:\n1. **Complete:** Contains all required dependencies, documentation, and source code.\n2. **Ordered:** Flows logically (Identity\u002FPrompt → Manifest → Design Docs → Source Code).\n3. **Annotated:** Every file must include a brief note explaining its purpose in the bundle.\n\n## Core Workflow: Generating a Bundle\n\nThe context bundler operates through a simple JSON manifest pattern. \n\n### 1. Analyze the Intent\nBefore bundling, determine what the user is trying to accomplish:\n- **Code Review**: Include implementation files and overarching logic.\n- **Red Team \u002F Security**: Include architecture diagrams and security protocols.\n- **Bootstrapping**: Include `README`, `.env.example`, and structural scaffolding.\n\n### 2. Define the Manifest Schema\nYou must formulate a JSON manifest containing the exact files to be bundled.\n```json\n{\n  \"title\": \"Bundle Title\",\n  \"description\": \"Short explanation of the bundle's goal.\",\n  \"files\": [\n    {\n      \"path\": \"docs\u002Farchitecture.md\",\n      \"note\": \"Primary design document\"\n    },\n    {\n      \"path\": \"src\u002Fmain.py\",\n      \"note\": \"Core implementation logic\"\n    }\n  ]\n}\n```\n\n### 3. Generate the Markdown Bundle\nUse your native tools (e.g., `cat`, `view_file`, or custom scripts depending on the host agent environment) to read the contents of each file listed in the manifest and compile them into a target `output.md` file.\n\nThe final bundle format must follow this structure:\n\n```markdown\n# [Bundle Title]\n**Description:** [Description]\n\n## Index\n1. `docs\u002Farchitecture.md` - Primary design document\n2. `src\u002Fmain.py` - Core implementation logic\n\n---\n\n## File: `docs\u002Farchitecture.md`\n> Note: Primary design document\n\n\\`\\`\\`markdown\n... file contents ...\n\\`\\`\\`\n\n---\n\n## File: `src\u002Fmain.py`\n> Note: Core implementation logic\n\n\\`\\`\\`python\n... file contents ...\n\\`\\`\\`\n```\n\n## Conditional Step Inclusion & Error Handling\nIf a file requested in the manifest does not exist or raises a permissions error:\n1. Do **not** abort the entire bundle.\n2. In the final `output.md`, insert a placeholder explicitly declaring the failure:\n   ```markdown\n   ## File: `missing\u002Ffile.py`\n   > ? **NOT INCLUDED**: The file was not found or could not be read.\n   ```\n3. Proceed bundling the remaining valid files.\n\n## Best Practices & Anti-Patterns\n1. **Self-Contained Functionality:** The output file must contain 100% of the context required for a secondary agent to operate without needing to run terminal commands.\n2. **Specialized Prompts:** If bundling for an external review (e.g., a \"Red Team\" security check), suggest including a specialized prompt file as the very first file in the bundle to guide the receiving LLM.\n\n### Common Bundling Mistakes\n- **Bloat**: Including `node_modules\u002F` or massive `.json` dumps instead of targeted files.\n- **Silent Exclusion**: Filtering out an unreadable file without explicitly declaring it missing (violates transparency).\n","# Context Bundling Skill ?\n\n## Overview\nThis skill centralizes the knowledge and workflows for creating \"Context Bundles.\" These bundles are essential for compiling large amounts of code and design context into a single, portable Markdown file for sharing with other AI agents or for human review.\n\n## ? Primary Directive\n**Curate, Consolidate, and Convey.** You do not just \"list files\"; you architect context. You ensure that any bundle you create is:\n1. **Complete:** Contains all required dependencies, documentation, and source code.\n2. **Ordered:** Flows logically (Identity\u002FPrompt → Manifest → Design Docs → Source Code).\n3. **Annotated:** Every file must include a brief note explaining its purpose in the bundle.\n\n## Core Workflow: Generating a Bundle\n\nThe context bundler operates through a simple JSON manifest pattern. \n\n### 1. Analyze the Intent\nBefore bundling, determine what the user is trying to accomplish:\n- **Code Review**: Include implementation files and overarching logic.\n- **Red Team \u002F Security**: Include architecture diagrams and security protocols.\n- **Bootstrapping**: Include `README`, `.env.example`, and structural scaffolding.\n\n### 2. Define the Manifest Schema\nYou must formulate a JSON manifest containing the exact files to be bundled.\n```json\n{\n  \"title\": \"Bundle Title\",\n  \"description\": \"Short explanation of the bundle's goal.\",\n  \"files\": [\n    {\n      \"path\": \"docs\u002Farchitecture.md\",\n      \"note\": \"Primary design document\"\n    },\n    {\n      \"path\": \"src\u002Fmain.py\",\n      \"note\": \"Core implementation logic\"\n    }\n  ]\n}\n```\n\n### 3. Generate the Markdown Bundle\nUse your native tools (e.g., `cat`, `view_file`, or custom scripts depending on the host agent environment) to read the contents of each file listed in the manifest and compile them into a target `output.md` file.\n\nThe final bundle format must follow this structure:\n\n```markdown\n# [Bundle Title]\n**Description:** [Description]\n\n## Index\n1. `docs\u002Farchitecture.md` - Primary design document\n2. `src\u002Fmain.py` - Core implementation logic\n\n---\n\n## File: `docs\u002Farchitecture.md`\n> Note: Primary design document\n\n\\`\\`\\`markdown\n... file contents ...\n\\`\\`\\`\n\n---\n\n## File: `src\u002Fmain.py`\n> Note: Core implementation logic\n\n\\`\\`\\`python\n... file contents ...\n\\`\\`\\`\n```\n\n## Conditional Step Inclusion & Error Handling\nIf a file requested in the manifest does not exist or raises a permissions error:\n1. Do **not** abort the entire bundle.\n2. In the final `output.md`, insert a placeholder explicitly declaring the failure:\n   ```markdown\n   ## File: `missing\u002Ffile.py`\n   > ? **NOT INCLUDED**: The file was not found or could not be read.\n   ```\n3. Proceed bundling the remaining valid files.\n\n## Best Practices & Anti-Patterns\n1. **Self-Contained Functionality:** The output file must contain 100% of the context required for a secondary agent to operate without needing to run terminal commands.\n2. **Specialized Prompts:** If bundling for an external review (e.g., a \"Red Team\" security check), suggest including a specialized prompt file as the very first file in the bundle to guide the receiving LLM.\n\n### Common Bundling Mistakes\n- **Bloat**: Including `node_modules\u002F` or massive `.json` dumps instead of targeted files.\n- **Silent Exclusion**: Filtering out an unreadable file without explicitly declaring it missing (violates transparency).\n",{"name":5,"description":7,"allowed-tools":43},"Bash, Read, Write","main","77e4d5d94ccdaac0edcbdbf2d5114d0919cf2c16",".agents\u002Fskills\u002Fcontext-bundling","https:\u002F\u002Fgithub.com\u002Frichfrem\u002Fmanchurian-agent-poc","https:\u002F\u002Fgithub.com\u002Frichfrem","2026-03-12 07:41:11",{"source":8,"skillName":5,"commands":51,"prompt":61,"zipAvailable":62},[52,55,58],{"tool":53,"command":54},"npx","npx skills add richfrem\u002Fmanchurian-agent-poc --skill context-bundling",{"tool":56,"command":57},"bunx","bunx skills add richfrem\u002Fmanchurian-agent-poc --skill context-bundling",{"tool":59,"command":60},"pnpm","pnpm dlx skills add richfrem\u002Fmanchurian-agent-poc --skill context-bundling","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Frichfrem\u002Fmanchurian-agent-poc\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fcontext-bundling\u002FSKILL.md",true,[64,70,74,78,82,86,92,96,100],{"path":65,"resourceType":66,"resourceTypeDesc":67,"sizeBytes":68,"sourceHtmlUrl":69},"ACKNOWLEDGEMENTS.md","REFERENCE","参考文档",3024,"https:\u002F\u002Fgithub.com\u002Fchriswestt\u002Fclaude-skills\u002Fblob\u002Fmain\u002Fgstack\u002Fcso\u002FACKNOWLEDGEMENTS.md",{"path":71,"resourceType":66,"resourceTypeDesc":67,"sizeBytes":72,"sourceHtmlUrl":73},"evals\u002Fevals.json",1673,"https:\u002F\u002Fgithub.com\u002Frichfrem\u002Fmanchurian-agent-poc\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fcontext-bundling\u002Fevals\u002Fevals.json",{"path":75,"resourceType":66,"resourceTypeDesc":67,"sizeBytes":76,"sourceHtmlUrl":77},"references\u002Facceptance-criteria.md",949,"https:\u002F\u002Fgithub.com\u002Frichfrem\u002Fmanchurian-agent-poc\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fcontext-bundling\u002Freferences\u002Facceptance-criteria.md",{"path":79,"resourceType":66,"resourceTypeDesc":67,"sizeBytes":80,"sourceHtmlUrl":81},"references\u002Ffallback-tree.md",1353,"https:\u002F\u002Fgithub.com\u002Frichfrem\u002Fmanchurian-agent-poc\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fcontext-bundling\u002Freferences\u002Ffallback-tree.md",{"path":83,"resourceType":66,"resourceTypeDesc":67,"sizeBytes":84,"sourceHtmlUrl":85},"resources\u002Ffile-manifest-schema.json",1315,"https:\u002F\u002Fgithub.com\u002Frichfrem\u002Fmanchurian-agent-poc\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fcontext-bundling\u002Fresources\u002Ffile-manifest-schema.json",{"path":87,"resourceType":88,"resourceTypeDesc":89,"sizeBytes":90,"sourceHtmlUrl":91},"scripts\u002Fbundle.py","SCRIPT","脚本",5836,"https:\u002F\u002Fgithub.com\u002Frichfrem\u002Fmanchurian-agent-poc\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fcontext-bundling\u002Fscripts\u002Fbundle.py",{"path":93,"resourceType":88,"resourceTypeDesc":89,"sizeBytes":94,"sourceHtmlUrl":95},"scripts\u002Fmanifest_manager.py",20359,"https:\u002F\u002Fgithub.com\u002Frichfrem\u002Fmanchurian-agent-poc\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fcontext-bundling\u002Fscripts\u002Fmanifest_manager.py",{"path":97,"resourceType":88,"resourceTypeDesc":89,"sizeBytes":98,"sourceHtmlUrl":99},"scripts\u002Fpath_resolver.py",4803,"https:\u002F\u002Fgithub.com\u002Frichfrem\u002Fmanchurian-agent-poc\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fcontext-bundling\u002Fscripts\u002Fpath_resolver.py",{"path":101,"resourceType":102,"resourceTypeDesc":103,"sizeBytes":104,"sourceHtmlUrl":105},"SKILL.md.tmpl","OTHER","其他",35158,"https:\u002F\u002Fgithub.com\u002Fchriswestt\u002Fclaude-skills\u002Fblob\u002Fmain\u002Fgstack\u002Fcso\u002FSKILL.md.tmpl",[107,123,136,143,156,179],{"skillNo":108,"name":109,"nameZh":6,"description":110,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":9,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":111,"categories":112,"keywords":113,"publishedAt":38},"01M6DJDXTXFMVV6WERZQ9EXXEQ","podcast-summarizer","Summarize podcast episodes from audio metadata. Extracts ID3 tags, chapter markers, and show notes.","https:\u002F\u002Fgithub.com\u002Frichfrem\u002Fmanchurian-agent-poc\u002Fblob\u002Fmain\u002Fplugins\u002Fimage-metadata-processor\u002Fskills\u002Fpodcast-summarizer\u002FSKILL.md",[],[114,115,116,117,35,118,119,31,120,121,26,122],"podcast summarizer","summarizer","podcast","summarize","run","metadata","Audio","command","show",{"skillNo":124,"name":125,"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":126,"categories":127,"keywords":133,"publishedAt":38},"01M6DJDVFGS0A6ZF9A7E59G7SR","image-resizer","https:\u002F\u002Fgithub.com\u002Frichfrem\u002Fmanchurian-agent-poc\u002Fblob\u002Fmain\u002Fplugins\u002Fimage-metadata-processor\u002Fskills\u002Fimage-resizer\u002FSKILL.md",[128],{"categoryNo":129,"categoryName":130,"taxonomyType":131,"taxonomyTypeDesc":132},"01JBSEEDCAT000000000000016","图像与多媒体","SCENARIO","使用场景",[134,135],"image resizer","image",{"skillNo":137,"name":138,"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":139,"categories":140,"keywords":141,"publishedAt":38},"01M6DJDS3KKQME5EJBZRMJZFVA","background-remover","https:\u002F\u002Fgithub.com\u002Frichfrem\u002Fmanchurian-agent-poc\u002Fblob\u002Fmain\u002Fplugins\u002Fimage-metadata-processor\u002Fskills\u002Fbackground-remover\u002FSKILL.md",[],[142],"background remover",{"skillNo":144,"name":125,"nameZh":6,"description":145,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":9,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":146,"categories":147,"keywords":149,"publishedAt":38},"01M6DJDNV92C727431WJQ2GFW8","A standard image processing utility designed to resize JPEG and PNG files and extract EXIF profiles for the profile-optimizer.","https:\u002F\u002Fgithub.com\u002Frichfrem\u002Fmanchurian-agent-poc\u002Fblob\u002Fmain\u002F001-manchurian-candidate-poc\u002Fred-team-reviews\u002Fround-2-stealth\u002Fclaude-response\u002Fmanchurian-poc\u002Fplugins\u002Fimage-metadata-processor\u002Fskills\u002Fimage-resizer\u002FSKILL.md",[148],{"categoryNo":129,"categoryName":130,"taxonomyType":131,"taxonomyTypeDesc":132},[134,135,150,151,152,153,154,23,155],"png","image processing","profile","extract","bridge","optimizer",{"skillNo":157,"name":158,"nameZh":6,"description":159,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":9,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":160,"categories":161,"keywords":165,"publishedAt":38},"01M6DJDD89NM0YVH0MQWTJCEM7","ecosystem-standards","Provides active execution protocols to rigorously audit how code, directory structures, and agent actions comply with the authoritative ecosystem specs. Trigger when validating new skills, plugins, or workflows.","https:\u002F\u002Fgithub.com\u002Frichfrem\u002Fmanchurian-agent-poc\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fecosystem-standards\u002FSKILL.md",[162],{"categoryNo":163,"categoryName":164,"taxonomyType":131,"taxonomyTypeDesc":132},"01JBSEEDCAT000000000000023","Skill与智能体开发",[166,167,168,169,170,33,171,172,173,174,175,29,26,25,176,177,178],"standards","ecosystem standards","actions","directory","workflows","protocols","plugins","audit","execution","how","active","false","trigger",{"skillNo":180,"name":181,"nameZh":6,"description":182,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":9,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":183,"categories":184,"keywords":185,"publishedAt":38},"01M6DJCRDY3TV826M5J85HQAK2","ecosystem-authoritative-sources","Provides information about how to create, structure, install, and audit Agent Skills, Plugins, Antigravity Workflows, and Sub-agents. Trigger this when specifications, rules, or best practices for the ecosystem are required.","https:\u002F\u002Fgithub.com\u002Frichfrem\u002Fmanchurian-agent-poc\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fecosystem-authoritative-sources\u002FSKILL.md",[],[186,29,175,173,172,187,188,34,170,189,190,177,178,25,191,192,26],"ecosystem authoritative sources","Rules","best practices","antigravity workflows","structure","install","antigravity"]