[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M75DPVXJABG2F2MFWPDJSWGG":3,"skill-same:01M75DPVXJABG2F2MFWPDJSWGG":61},{"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":19,"linkOnly":20,"markdownContent":21,"markdownBody":22,"frontMatter":23,"refName":28,"commitSha":29,"skillDirectory":30,"forksCount":31,"repositoryHtmlUrl":32,"repositoryHomepageUrl":33,"ownerHtmlUrl":34,"ownerBlogUrl":35,"ownerDescription":6,"updatedAt":36,"install":37,"resources":50},"01M75DPVXJABG2F2MFWPDJSWGG","scout",null,"Fast codebase scouting using parallel agents. Use for file discovery, task context gathering, quick searches across directories. Supports internal (Explore) and external (Gemini\u002FOpenCode) agents.","LongLeo287\u002FSEOSONA-OS","LongLeo287","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F141803367?v=4","01M6JK75C62VCNZKR5BRZ386YV","LongLeo","01M75CK60XQGYJY3YDGGFJQDYT",2,"MIT","https:\u002F\u002Fgithub.com\u002FLongLeo287\u002FSEOSONA-OS\u002Fblob\u002Fmain\u002F2_KNOWLEDGE\u002Fframeworks\u002Fagentic_workflows\u002Fscout\u002FSKILL.md",[],[],"2026-11-12 13:55:43",false,"---\nname: scout\ndescription: Fast codebase scouting using parallel agents. Use for file discovery, task context gathering, quick searches across directories. Supports internal (Explore) and external (Gemini\u002FOpenCode) agents.\nargument-hint: \"[search-target] [ext]\"\nmetadata:\n  author: claudekit\n  version: \"1.0.0\"\n---\n\n# Scout\n\nFast, token-efficient codebase scouting using parallel agents to find files needed for tasks.\n\n## Arguments\n- Default: Scout using built-in Explore subagents in parallel (`.\u002Freferences\u002Finternal-scouting.md`)\n- `ext`: Scout using external Gemini\u002FOpenCode CLI tools in parallel (`.\u002Freferences\u002Fexternal-scouting.md`)\n\n## When to Use\n\n- Beginning work on feature spanning multiple directories\n- User mentions needing to \"find\", \"locate\", or \"search for\" files\n- Starting debugging session requiring file relationships understanding\n- User asks about project structure or where functionality lives\n- Before changes that might affect multiple codebase parts\n\n## Quick Start\n\n1. Analyze user prompt to identify search targets\n2. Use a wide range of Grep and Glob patterns to find relevant files and estimate scale of the codebase\n3. Spawn parallel agents with divided directories\n4. Collect results into concise report\n\n## Configuration\n\nRead from `.opencode\u002F.ck.json`:\n- `gemini.model` - Gemini model (default: `gemini-3-flash-preview`)\n\n## Workflow\n\n### 1. Analyze Task\n- Parse user prompt for search targets\n- Identify key directories, patterns, file types, lines of code\n- Determine optimal SCALE value of subagents to spawn\n\n### 2. Divide and Conquer\n- Split codebase into logical segments per agent\n- Assign each agent specific directories or patterns\n- Ensure no overlap, maximize coverage\n\n### 3. Spawn Parallel Agents\nLoad appropriate reference based on decision tree:\n- **Internal (Default):** `references\u002Finternal-scouting.md` (Explore subagents)\n- **External:** `references\u002Fexternal-scouting.md` (Gemini\u002FOpenCode)\n\n**Notes:**\n- Prompt detailed instructions for each subagent with exact directories or files it should read\n- Remember that each subagent has less than 200K tokens of context window\n- Amount of subagents to-be-spawned depends on the current system resources available and amount of files to be scanned\n- Each subagent must return a detailed summary report to a main agent\n\n### 4. Collect Results\n- Timeout: 3 minutes per agent (skip non-responders)\n- Aggregate findings into single report\n- List unresolved questions at end\n\n## Report Format\n\n```markdown\n# Scout Report\n\n## Relevant Files\n- `path\u002Fto\u002Ffile.ts` - Brief description\n- ...\n\n## Unresolved Questions\n- Any gaps in findings\n```\n\n## References\n\n- `references\u002Finternal-scouting.md` - Using Explore subagents\n- `references\u002Fexternal-scouting.md` - Using Gemini\u002FOpenCode CLI\n","# Scout\n\nFast, token-efficient codebase scouting using parallel agents to find files needed for tasks.\n\n## Arguments\n- Default: Scout using built-in Explore subagents in parallel (`.\u002Freferences\u002Finternal-scouting.md`)\n- `ext`: Scout using external Gemini\u002FOpenCode CLI tools in parallel (`.\u002Freferences\u002Fexternal-scouting.md`)\n\n## When to Use\n\n- Beginning work on feature spanning multiple directories\n- User mentions needing to \"find\", \"locate\", or \"search for\" files\n- Starting debugging session requiring file relationships understanding\n- User asks about project structure or where functionality lives\n- Before changes that might affect multiple codebase parts\n\n## Quick Start\n\n1. Analyze user prompt to identify search targets\n2. Use a wide range of Grep and Glob patterns to find relevant files and estimate scale of the codebase\n3. Spawn parallel agents with divided directories\n4. Collect results into concise report\n\n## Configuration\n\nRead from `.opencode\u002F.ck.json`:\n- `gemini.model` - Gemini model (default: `gemini-3-flash-preview`)\n\n## Workflow\n\n### 1. Analyze Task\n- Parse user prompt for search targets\n- Identify key directories, patterns, file types, lines of code\n- Determine optimal SCALE value of subagents to spawn\n\n### 2. Divide and Conquer\n- Split codebase into logical segments per agent\n- Assign each agent specific directories or patterns\n- Ensure no overlap, maximize coverage\n\n### 3. Spawn Parallel Agents\nLoad appropriate reference based on decision tree:\n- **Internal (Default):** `references\u002Finternal-scouting.md` (Explore subagents)\n- **External:** `references\u002Fexternal-scouting.md` (Gemini\u002FOpenCode)\n\n**Notes:**\n- Prompt detailed instructions for each subagent with exact directories or files it should read\n- Remember that each subagent has less than 200K tokens of context window\n- Amount of subagents to-be-spawned depends on the current system resources available and amount of files to be scanned\n- Each subagent must return a detailed summary report to a main agent\n\n### 4. Collect Results\n- Timeout: 3 minutes per agent (skip non-responders)\n- Aggregate findings into single report\n- List unresolved questions at end\n\n## Report Format\n\n```markdown\n# Scout Report\n\n## Relevant Files\n- `path\u002Fto\u002Ffile.ts` - Brief description\n- ...\n\n## Unresolved Questions\n- Any gaps in findings\n```\n\n## References\n\n- `references\u002Finternal-scouting.md` - Using Explore subagents\n- `references\u002Fexternal-scouting.md` - Using Gemini\u002FOpenCode CLI\n",{"name":5,"metadata":24,"description":7,"argument-hint":27},{"author":25,"version":26},"claudekit","1.0.0","[search-target] [ext]","main","4fd50b1281e8cd978866b6b4556242605cabf708","2_KNOWLEDGE\u002Fframeworks\u002Fagentic_workflows\u002Fscout",1,"https:\u002F\u002Fgithub.com\u002FLongLeo287\u002FSEOSONA-OS","https:\u002F\u002Fseosona-os.vercel.app","https:\u002F\u002Fgithub.com\u002FLongLeo287","https:\u002F\u002Fwww.facebook.com\u002FResourceRookie2023","2026-10-09 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