[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M77MAAN366MRTY08BE4KCEHP":3,"skill-same:01M77MAAN366MRTY08BE4KCEHP":46},{"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":24,"commitSha":25,"skillDirectory":26,"forksCount":27,"repositoryHtmlUrl":28,"repositoryHomepageUrl":6,"ownerHtmlUrl":29,"ownerBlogUrl":30,"ownerDescription":6,"updatedAt":31,"install":32,"resources":45},"01M77MAAN366MRTY08BE4KCEHP","diagnose",null,"Perform a systematic diagnostic scan of an AI workflow across 5 quality dimensions — prompt quality, context efficiency, tool health, architecture fitness, and safety — producing a scored report with prioritized remediation actions.","Reihantt6\u002Fsns-myagent","Reihantt6","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F219822095?v=4","01M77KK94PV8B7C2D9XWXNS8DJ","Mohamad Reihan tegar prasetya","01M77KK958QFMTHYXGXFV7KZ79",2,"MIT","https:\u002F\u002Fgithub.com\u002FReihantt6\u002Fsns-myagent\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fdiagnose\u002FSKILL.md",[],[],"2026-11-15 14:19:17",false,"---\nname: diagnose\ndescription: \"Perform a systematic diagnostic scan of an AI workflow across 5 quality dimensions — prompt quality, context efficiency, tool health, architecture fitness, and safety — producing a scored report with prioritized remediation actions.\"\n---\n\n# AI Workflow Diagnostics\n\nYou are a systematic AI workflow auditor. Perform a diagnostic scan across 5 dimensions. For each dimension, score 1–5 and provide specific findings.\n\n## Dimension 1: Prompt Quality (1–5)\n\nEvaluate:\n\n- Structure (role, context, instructions, output zones)\n- Output schema definition (explicit vs. implicit)\n- Instruction clarity (specific vs. vague)\n- Edge case handling (addressed vs. ignored)\n- Anti-patterns (wall of text, contradictions, implicit format)\n\n## Dimension 2: Context Efficiency (1–5)\n\nEvaluate:\n\n- Context budget allocation (planned vs. ad-hoc)\n- Attention gradient awareness (critical info at start\u002Fend)\n- Context window utilization (efficient vs. wasteful)\n- State management (explicit vs. implicit)\n- Memory strategy (appropriate for conversation length)\n\n## Dimension 3: Tool Health (1–5)\n\nEvaluate:\n\n- Tool count (3–7 ideal, 13+ problematic)\n- Description quality (specific vs. vague)\n- Error handling (graceful vs. none)\n- Schema completeness (input\u002Foutput\u002Ferror defined)\n- Idempotency (safe to retry vs. side-effect prone)\n- **Scope attribution**: Distinguish project-configured tools (custom scripts, project MCP servers) from agent-level tools (built-in IDE tools, global MCP servers). Only flag tool overhead for tools the project can actually control.\n\n## Dimension 4: Architecture Fitness (1–5)\n\nEvaluate:\n\n- Topology appropriateness (single vs. multi-agent justified)\n- Agent boundaries (clear vs. overlapping)\n- Handoff protocols (structured vs. ad-hoc)\n- Observability (decisions logged vs. black box)\n- Cost awareness (budgeted vs. unbounded)\n\n## Dimension 5: Safety & Reliability (1–5)\n\nEvaluate:\n\n- Input validation (present vs. absent)\n- Output filtering (PII, content policy) — scope contextually: data between a user's own frontend and backend is lower risk than data exposed to external services\n- Cost controls (ceilings set vs. unbounded)\n- Error recovery (fallbacks vs. crash)\n- Evaluation strategy (golden tests vs. \"it seems to work\")\n\n## Diagnostic Report Format\n\n```text\n╔══════════════════════════════════════╗\n║          WORKFLOW DIAGNOSTIC        ║\n╠══════════════════════════════════════╣\n║ Prompt Quality      ████░  4\u002F5      ║\n║ Context Efficiency   ███░░  3\u002F5      ║\n║ Tool Health          ██░░░  2\u002F5      ║\n║ Architecture         ████░  4\u002F5      ║\n║ Safety & Reliability ██░░░  2\u002F5      ║\n╠══════════════════════════════════════╣\n║ Overall Score:       15\u002F25           ║\n╚══════════════════════════════════════╝\n\nCRITICAL FINDINGS:\n1. [Most severe issue — immediate action needed]\n2. [Second most severe]\n3. [Third]\n\nRECOMMENDED ACTIONS:\n1. [Specific remediation for finding #1]\n2. [Specific remediation for finding #2]\n3. [Specific remediation for finding #3]\n```\n\n## Scoring Guide\n\n| Score | Meaning                | Recommended Action                        |\n|-------|------------------------|-------------------------------------------|\n| 5     | Production-excellent   | No action needed                          |\n| 4     | Good with minor gaps   | Polish prompt clarity or output schema    |\n| 3     | Functional but risky   | Add error handling or reduce complexity   |\n| 2     | Significant issues     | Immediate attention — add retries\u002Fguards  |\n| 1     | Broken or missing      | Rebuild from scratch with clear structure |\n\n## Usage\n\nInvoke this skill when you want to:\n\n- Find hidden problems before a workflow goes to production\n- Audit an existing agent for quality and reliability\n- Get a prioritized remediation plan with concrete next steps\n- Health-check a workflow after significant changes\n\nProvide the workflow description, prompt text, tool list, or agent configuration as context. The more detail you provide, the more precise the findings.\n","# AI Workflow Diagnostics\n\nYou are a systematic AI workflow auditor. Perform a diagnostic scan across 5 dimensions. For each dimension, score 1–5 and provide specific findings.\n\n## Dimension 1: Prompt Quality (1–5)\n\nEvaluate:\n\n- Structure (role, context, instructions, output zones)\n- Output schema definition (explicit vs. implicit)\n- Instruction clarity (specific vs. vague)\n- Edge case handling (addressed vs. ignored)\n- Anti-patterns (wall of text, contradictions, implicit format)\n\n## Dimension 2: Context Efficiency (1–5)\n\nEvaluate:\n\n- Context budget allocation (planned vs. ad-hoc)\n- Attention gradient awareness (critical info at start\u002Fend)\n- Context window utilization (efficient vs. wasteful)\n- State management (explicit vs. implicit)\n- Memory strategy (appropriate for conversation length)\n\n## Dimension 3: Tool Health (1–5)\n\nEvaluate:\n\n- Tool count (3–7 ideal, 13+ problematic)\n- Description quality (specific vs. vague)\n- Error handling (graceful vs. none)\n- Schema completeness (input\u002Foutput\u002Ferror defined)\n- Idempotency (safe to retry vs. side-effect prone)\n- **Scope attribution**: Distinguish project-configured tools (custom scripts, project MCP servers) from agent-level tools (built-in IDE tools, global MCP servers). Only flag tool overhead for tools the project can actually control.\n\n## Dimension 4: Architecture Fitness (1–5)\n\nEvaluate:\n\n- Topology appropriateness (single vs. multi-agent justified)\n- Agent boundaries (clear vs. overlapping)\n- Handoff protocols (structured vs. ad-hoc)\n- Observability (decisions logged vs. black box)\n- Cost awareness (budgeted vs. unbounded)\n\n## Dimension 5: Safety & Reliability (1–5)\n\nEvaluate:\n\n- Input validation (present vs. absent)\n- Output filtering (PII, content policy) — scope contextually: data between a user's own frontend and backend is lower risk than data exposed to external services\n- Cost controls (ceilings set vs. unbounded)\n- Error recovery (fallbacks vs. crash)\n- Evaluation strategy (golden tests vs. \"it seems to work\")\n\n## Diagnostic Report Format\n\n```text\n╔══════════════════════════════════════╗\n║          WORKFLOW DIAGNOSTIC        ║\n╠══════════════════════════════════════╣\n║ Prompt Quality      ████░  4\u002F5      ║\n║ Context Efficiency   ███░░  3\u002F5      ║\n║ Tool Health          ██░░░  2\u002F5      ║\n║ Architecture         ████░  4\u002F5      ║\n║ Safety & Reliability ██░░░  2\u002F5      ║\n╠══════════════════════════════════════╣\n║ Overall Score:       15\u002F25           ║\n╚══════════════════════════════════════╝\n\nCRITICAL FINDINGS:\n1. [Most severe issue — immediate action needed]\n2. [Second most severe]\n3. [Third]\n\nRECOMMENDED ACTIONS:\n1. [Specific remediation for finding #1]\n2. [Specific remediation for finding #2]\n3. [Specific remediation for finding #3]\n```\n\n## Scoring Guide\n\n| Score | Meaning                | Recommended Action                        |\n|-------|------------------------|-------------------------------------------|\n| 5     | Production-excellent   | No action needed                          |\n| 4     | Good with minor gaps   | Polish prompt clarity or output schema    |\n| 3     | Functional but risky   | Add error handling or reduce complexity   |\n| 2     | Significant issues     | Immediate attention — add retries\u002Fguards  |\n| 1     | Broken or missing      | Rebuild from scratch with clear structure |\n\n## Usage\n\nInvoke this skill when you want to:\n\n- Find hidden problems before a workflow goes to production\n- Audit an existing agent for quality and reliability\n- Get a prioritized remediation plan with concrete next steps\n- Health-check a workflow after significant changes\n\nProvide the workflow description, prompt text, tool list, or agent configuration as context. The more detail you provide, the more precise the findings.\n",{"name":5,"description":7},"main","58843b159d7a4050d6b785a98b908cce505c0b92",".agents\u002Fskills\u002Fdiagnose",0,"https:\u002F\u002Fgithub.com\u002FReihantt6\u002Fsns-myagent","https:\u002F\u002Fgithub.com\u002FReihantt6","reihsns.web.id","2026-08-19 20:08:18",{"source":8,"skillName":5,"commands":33,"prompt":43,"zipAvailable":44},[34,37,40],{"tool":35,"command":36},"npx","npx skills add Reihantt6\u002Fsns-myagent --skill diagnose",{"tool":38,"command":39},"bunx","bunx skills add Reihantt6\u002Fsns-myagent --skill diagnose",{"tool":41,"command":42},"pnpm","pnpm dlx skills add Reihantt6\u002Fsns-myagent --skill diagnose","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002FReihantt6\u002Fsns-myagent\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fdiagnose\u002FSKILL.md",true,[],[47,54,61,68,75,82],{"skillNo":48,"name":49,"nameZh":6,"description":50,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":51,"categories":52,"keywords":53,"publishedAt":19},"01M77XDCYZ407XYMF2T4P6F7VT","youtube-transcript","Extract transcripts from YouTube videos. Use when the user asks for a transcript, subtitles, or captions of a YouTube video and provides a YouTube URL (youtube.com\u002Fwatch?v=, youtu.be\u002F, or similar). Supports output with or without timestamps.","https:\u002F\u002Fgithub.com\u002FReihantt6\u002Fsns-myagent\u002Fblob\u002Fmain\u002Fagent\u002Fskills\u002Fyoutube-transcript\u002FSKILL.md",[],[],{"skillNo":55,"name":56,"nameZh":6,"description":57,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":58,"categories":59,"keywords":60,"publishedAt":19},"01M77XD7PBC98J6MXGJJ2TJ8DX","youtube-thumbnail-design","YouTube thumbnail design with specific dimensions, contrast rules, and mobile preview optimization. Covers safe zones, text placement, face expression psychology, and A\u002FB testing. Use for: YouTube thumbnails, video cover images, click-through optimization. Triggers: youtube thumbnail, thumbnail design, video thumbnail, click through rate, ctr optimization, youtube cover, video cover image, thumbnail maker, thumbnail tips, youtube design, video preview image","https:\u002F\u002Fgithub.com\u002FReihantt6\u002Fsns-myagent\u002Fblob\u002Fmain\u002Fagent\u002Fskills\u002Fyoutube-thumbnail-design\u002FSKILL.md",[],[],{"skillNo":62,"name":63,"nameZh":6,"description":64,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":65,"categories":66,"keywords":67,"publishedAt":19},"01M77XD2541C8HXJ6RHYZP4NGJ","youtube-short-maker","Make YouTube Shorts that hold attention with Pexo — vertical 9:16, fast-paced, hook in the first 3 seconds. Describe your topic and Pexo writes the script, generates the shots, picks the models, and assembles a finished Short with music and captions. Use for YouTube Shorts: \"youtube short\", \"make a youtube short\", \"shorts video\", \"short-form video\". NOT for long-form or landscape video.","https:\u002F\u002Fgithub.com\u002FReihantt6\u002Fsns-myagent\u002Fblob\u002Fmain\u002Fagent\u002Fskills\u002Fyoutube-short-maker\u002FSKILL.md",[],[],{"skillNo":69,"name":70,"nameZh":6,"description":71,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":72,"categories":73,"keywords":74,"publishedAt":19},"01M77XCXKVSYK7KTZ3PQBVVGFD","xcode-project-setup","Safely modifies Xcode projects (.pbxproj) to add Swift Packages and link files. Use this skill whenever an iOS project needs dependencies installed (e.g. Firebase, Alamofire).","https:\u002F\u002Fgithub.com\u002FReihantt6\u002Fsns-myagent\u002Fblob\u002Fmain\u002Fagent\u002Fskills\u002Fxcode-project-setup\u002FSKILL.md",[],[],{"skillNo":76,"name":77,"nameZh":6,"description":78,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":79,"categories":80,"keywords":81,"publishedAt":19},"01M77XCR1DV8ZQK2NHWKVY4EWX","x402","Set up Browser Use Cloud payments with x402 — pay per request from a crypto wallet (USDC on Base mainnet), no signup or API key. Two setups it works out up front — \"just use it\" (set up a wallet so you or Claude Code can run cloud browser tasks paid from the wallet — Claude writes and runs throwaway scripts, nothing touches your codebase) or \"build it in\" (install the SDK and write the key + code into your project). Walks through wallet setup, funding, .env, and a ~$1 test run. Use when the user asks about x402, pay-per-use, USDC payments, or wants Browser Use Cloud without an API key. For the free-tier signup (reverse-CAPTCHA → API key), use `browser-use cloud signup` or the `cloud` skill instead.","https:\u002F\u002Fgithub.com\u002FReihantt6\u002Fsns-myagent\u002Fblob\u002Fmain\u002Fagent\u002Fskills\u002Fx402\u002FSKILL.md",[],[],{"skillNo":83,"name":84,"nameZh":6,"description":85,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":86,"categories":87,"keywords":88,"publishedAt":19},"01M77XCMD3R3ZBZQQSW6E0793B","x-twitter-scraper","Build GitHub Copilot workflows with Xquik X API SDKs, REST endpoints, hosted Apify Actor runs, MCP tools, TweetClaw OpenClaw plugin installs, signed webhooks, tweet search, user lookup, follower exports, media actions, and agent automation.","https:\u002F\u002Fgithub.com\u002FReihantt6\u002Fsns-myagent\u002Fblob\u002Fmain\u002Fagent\u002Fskills\u002Fx-twitter-scraper\u002FSKILL.md",[],[]]