[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6DB8N19H7ZTB1G7Z7HTZ8FP":3,"skill-same:01M6DB8N19H7ZTB1G7Z7HTZ8FP":127},{"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":26,"publishedAt":43,"linkOnly":44,"markdownContent":45,"markdownBody":46,"frontMatter":47,"refName":48,"commitSha":49,"skillDirectory":50,"forksCount":14,"repositoryHtmlUrl":51,"repositoryHomepageUrl":6,"ownerHtmlUrl":52,"ownerBlogUrl":6,"ownerDescription":6,"updatedAt":53,"install":54,"resources":67},"01M6DB8N19H7ZTB1G7Z7HTZ8FP","create-tooluniverse-skill",null,"Create high-quality ToolUniverse skills following test-driven, implementation-agnostic methodology. Integrates tools from ToolUniverse's 1,264+ tool library, creates missing tools when needed, tests thoroughly, and produces skills with Python SDK + MCP support.","Prekzursil\u002Fagent-skills-toolchain","Prekzursil","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F54636077?v=4","01M6DACZ1PCQHD99SCR1YXG28B","Andrei Mihai Visalon","01M6DACZ670WZF535V3WYYSS4Z",0,"MIT","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fcreate-tooluniverse-skill\u002FSKILL.md",[18,23],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000008","测试与质量","SCENARIO","使用场景",{"categoryNo":24,"categoryName":25,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000023","Skill与智能体开发",[27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42],"create","create tooluniverse skill","MCP","python","sdk","support","test","library","methodology","Tools","tool","quality","python sdk","implementation","tests","driven","2026-11-10 10:12:30",false,"---\nname: create-tooluniverse-skill\ndescription: Create high-quality ToolUniverse skills following test-driven, implementation-agnostic methodology. Integrates tools from ToolUniverse's 1,264+ tool library, creates missing tools when needed, tests thoroughly, and produces skills with Python SDK + MCP support.\n---\n\n# Create ToolUniverse Skill\n\nSystematic workflow for creating production-ready ToolUniverse skills.\n\n## Core Principles\n\nBuild on the 10 pillars from `devtu (optimize-skills mode)`:\n1. TEST FIRST - never document untested tools\n2. Verify tool contracts - don't trust function names\n3. Handle SOAP tools - add `operation` parameter\n4. Implementation-agnostic docs - no Python\u002FMCP code in SKILL.md\n5. Foundation first - query aggregators before specialized tools\n6. Disambiguate carefully - resolve IDs properly\n7. Implement fallbacks - Primary -> Fallback -> Default\n8. Grade evidence - T1-T4 tiers on claims\n9. Quantified completeness - numeric minimums per section\n10. Synthesize - models and hypotheses, not just lists\n\nSee `OPTIMIZE_INTEGRATION.md` for detailed application of each pillar.\n\n## 7-Phase Workflow\n\n| Phase | Duration | Description |\n|-------|----------|-------------|\n| 1. Domain Analysis | 15 min | Understand use cases, data types, analysis phases |\n| 2. Tool Discovery | 30-45 min | Search, read configs, test tools (MANDATORY) |\n| 3. Tool Creation | 0-60 min | Create missing tools via devtu (create-tool mode) |\n| 4. Implementation | 30-45 min | Write python_implementation.py with tested tools |\n| 5. Documentation | 30-45 min | Write SKILL.md (agnostic) + QUICK_START.md |\n| 6. Validation | 15-30 min | Run test suite, validate checklist, manual verify |\n| 7. Packaging | 15 min | Create summary, update tracking |\n\n**Total**: ~1.5-2 hours (without tool creation).\n\n### Phase 1: Domain Analysis\n\n- Gather concrete use cases and expected outputs\n- Identify inputs, outputs, and intermediate data types\n- Break workflow into logical phases\n- Review existing skills in `skills\u002F` for patterns\n\n### Phase 2: Tool Discovery and Testing\n\nSearch tools in `\u002Fsrc\u002Ftooluniverse\u002Fdata\u002F*.json` (186 tool files). For each tool, read its config to understand parameters and return schema. See `PARAMETER_VERIFICATION.md` for common pitfalls.\n\n**Create and run a test script** using `test_tools_template.py`. For each tool: call with known-good params, verify response format, document corrections. See `TESTING_GUIDE.md` for the full test suite template and procedures.\n\n### Phase 3: Tool Creation (If Needed)\n\nInvoke `devtu (create-tool mode)` when required functionality is missing and analysis is blocked. Use `devtu (fix-tool mode)` if new tools fail tests.\n\n### Phase 4: Implementation\n\nCreate `skills\u002Ftooluniverse-[domain]\u002F` with:\n- `python_implementation.py` - use only tested tools, try\u002Fexcept per phase, progressive report writing\n- `test_skill.py` - test each input type, combined inputs, error handling\n\nUse templates from `CODE_TEMPLATES.md`.\n\n### Phase 5: Documentation\n\nWrite implementation-agnostic SKILL.md using `SKILL_TEMPLATE.md`. Write multi-implementation QUICK_START.md using `QUICKSTART_TEMPLATE.md`. Key rules: zero Python\u002FMCP code in SKILL.md, equal treatment of both interfaces in QUICK_START.\n\nSee `IMPLEMENTATION_AGNOSTIC.md` for format guidelines with examples.\n\n### Phase 6: Validation\n\nRun the comprehensive test suite (see `TESTING_GUIDE.md`). Validate against `VALIDATION_CHECKLIST.md`. Perform manual verification: load ToolUniverse fresh, copy-paste QUICK_START example, verify output works.\n\n### Phase 7: Packaging\n\nCreate summary document using `PACKAGING_TEMPLATE.md`. Update session tracking if creating multiple skills.\n\n## Skill Integration\n\n| Skill | When to Use |\n|-------|-------------|\n| **devtu (create-tool mode)** | Critical functionality missing |\n| **devtu (fix-tool mode)** | Tool returns errors or unexpected format |\n| **devtu (optimize-skills mode)** | Evidence grading, report optimization |\n\n## Quality Indicators\n\n**High quality**: 100% test coverage before docs, agnostic SKILL.md, multi-implementation QUICK_START, fallback strategies, parameter corrections table, response format docs.\n\n**Red flags**: Docs before testing, Python in SKILL.md, assumed parameters, no fallbacks, SOAP tools missing `operation`, no test script.\n\n## Reference Files\n\n| File | Content |\n|------|---------|\n| `SKILL_TEMPLATE.md` | Template for writing SKILL.md |\n| `QUICKSTART_TEMPLATE.md` | Template for writing QUICK_START.md |\n| `TESTING_GUIDE.md` | Test suite template and procedures |\n| `VALIDATION_CHECKLIST.md` | Pre-release quality checklist |\n| `PACKAGING_TEMPLATE.md` | Summary document template |\n| `PARAMETER_VERIFICATION.md` | Tool parameter verification guide |\n| `OPTIMIZE_INTEGRATION.md` | devtu (optimize-skills mode) 10-pillar integration |\n| `IMPLEMENTATION_AGNOSTIC.md` | Implementation-agnostic format guide with examples |\n| `CODE_TEMPLATES.md` | Python implementation and test templates |\n| `test_tools_template.py` | Tool testing script template |\n","# Create ToolUniverse Skill\n\nSystematic workflow for creating production-ready ToolUniverse skills.\n\n## Core Principles\n\nBuild on the 10 pillars from `devtu (optimize-skills mode)`:\n1. TEST FIRST - never document untested tools\n2. Verify tool contracts - don't trust function names\n3. Handle SOAP tools - add `operation` parameter\n4. Implementation-agnostic docs - no Python\u002FMCP code in SKILL.md\n5. Foundation first - query aggregators before specialized tools\n6. Disambiguate carefully - resolve IDs properly\n7. Implement fallbacks - Primary -> Fallback -> Default\n8. Grade evidence - T1-T4 tiers on claims\n9. Quantified completeness - numeric minimums per section\n10. Synthesize - models and hypotheses, not just lists\n\nSee `OPTIMIZE_INTEGRATION.md` for detailed application of each pillar.\n\n## 7-Phase Workflow\n\n| Phase | Duration | Description |\n|-------|----------|-------------|\n| 1. Domain Analysis | 15 min | Understand use cases, data types, analysis phases |\n| 2. Tool Discovery | 30-45 min | Search, read configs, test tools (MANDATORY) |\n| 3. Tool Creation | 0-60 min | Create missing tools via devtu (create-tool mode) |\n| 4. Implementation | 30-45 min | Write python_implementation.py with tested tools |\n| 5. Documentation | 30-45 min | Write SKILL.md (agnostic) + QUICK_START.md |\n| 6. Validation | 15-30 min | Run test suite, validate checklist, manual verify |\n| 7. Packaging | 15 min | Create summary, update tracking |\n\n**Total**: ~1.5-2 hours (without tool creation).\n\n### Phase 1: Domain Analysis\n\n- Gather concrete use cases and expected outputs\n- Identify inputs, outputs, and intermediate data types\n- Break workflow into logical phases\n- Review existing skills in `skills\u002F` for patterns\n\n### Phase 2: Tool Discovery and Testing\n\nSearch tools in `\u002Fsrc\u002Ftooluniverse\u002Fdata\u002F*.json` (186 tool files). For each tool, read its config to understand parameters and return schema. See `PARAMETER_VERIFICATION.md` for common pitfalls.\n\n**Create and run a test script** using `test_tools_template.py`. For each tool: call with known-good params, verify response format, document corrections. See `TESTING_GUIDE.md` for the full test suite template and procedures.\n\n### Phase 3: Tool Creation (If Needed)\n\nInvoke `devtu (create-tool mode)` when required functionality is missing and analysis is blocked. Use `devtu (fix-tool mode)` if new tools fail tests.\n\n### Phase 4: Implementation\n\nCreate `skills\u002Ftooluniverse-[domain]\u002F` with:\n- `python_implementation.py` - use only tested tools, try\u002Fexcept per phase, progressive report writing\n- `test_skill.py` - test each input type, combined inputs, error handling\n\nUse templates from `CODE_TEMPLATES.md`.\n\n### Phase 5: Documentation\n\nWrite implementation-agnostic SKILL.md using `SKILL_TEMPLATE.md`. Write multi-implementation QUICK_START.md using `QUICKSTART_TEMPLATE.md`. Key rules: zero Python\u002FMCP code in SKILL.md, equal treatment of both interfaces in QUICK_START.\n\nSee `IMPLEMENTATION_AGNOSTIC.md` for format guidelines with examples.\n\n### Phase 6: Validation\n\nRun the comprehensive test suite (see `TESTING_GUIDE.md`). Validate against `VALIDATION_CHECKLIST.md`. Perform manual verification: load ToolUniverse fresh, copy-paste QUICK_START example, verify output works.\n\n### Phase 7: Packaging\n\nCreate summary document using `PACKAGING_TEMPLATE.md`. Update session tracking if creating multiple skills.\n\n## Skill Integration\n\n| Skill | When to Use |\n|-------|-------------|\n| **devtu (create-tool mode)** | Critical functionality missing |\n| **devtu (fix-tool mode)** | Tool returns errors or unexpected format |\n| **devtu (optimize-skills mode)** | Evidence grading, report optimization |\n\n## Quality Indicators\n\n**High quality**: 100% test coverage before docs, agnostic SKILL.md, multi-implementation QUICK_START, fallback strategies, parameter corrections table, response format docs.\n\n**Red flags**: Docs before testing, Python in SKILL.md, assumed parameters, no fallbacks, SOAP tools missing `operation`, no test script.\n\n## Reference Files\n\n| File | Content |\n|------|---------|\n| `SKILL_TEMPLATE.md` | Template for writing SKILL.md |\n| `QUICKSTART_TEMPLATE.md` | Template for writing QUICK_START.md |\n| `TESTING_GUIDE.md` | Test suite template and procedures |\n| `VALIDATION_CHECKLIST.md` | Pre-release quality 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Do NOT use it to pick a free tool when a validated FEP+, WaterMap, IFD-MD, or Prime MM-GBSA result is actually required.","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002Ftools\u002Fmcp\u002Fopenmm-md-mcp\u002Fskill\u002Fopenmm-md\u002FSKILL.md",[156],{"categoryNo":24,"categoryName":25,"taxonomyType":21,"taxonomyTypeDesc":22},[158,159,160,161,162,163,37,164,165,166,167,168,169,170,144,171,172,173,174,29],"openmm md","how","decision","pick","linux","analyze","stack","open","NVIDIA","gpu","license","workflow","windows","free","molecular dynamics","local","do",{"skillNo":176,"name":177,"nameZh":6,"description":178,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":179,"categories":180,"keywords":185,"publishedAt":43},"01M6DF76C1MG85VEWP8VZCBNMN","visual-review","Take screenshots of web pages and UI using Playwright for visual review and iteration","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002Ftools\u002Feditor\u002Fmetaswarm\u002Fskills\u002Fvisual-review\u002FSKILL.md",[181,184],{"categoryNo":182,"categoryName":183,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000003","演示文稿",{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},[186,187,188,189,190,191,192,193,194,195,159,196,197,198,199],"review","visual","visual review","pages","web","false","iteration","take","check","slides","ui","screenshot","playwright","screenshots",{"skillNo":201,"name":202,"nameZh":6,"description":203,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":204,"categories":205,"keywords":206,"publishedAt":43},"01M6DF73AQVCBZKEN0YXEX9FXP","status","Diagnostic status report — shows metaswarm installation state, project setup, and potential issues","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002Ftools\u002Feditor\u002Fmetaswarm\u002Fskills\u002Fstatus\u002FSKILL.md",[],[202,207,208,209,210,211,212,213],"setup","report","project","installation","project setup","issues","state",{"skillNo":215,"name":216,"nameZh":6,"description":217,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":218,"categories":219,"keywords":221,"publishedAt":43},"01M6DF6X6C2XB0P6GX76P7TTYV","start","Use when starting work on any task, when the user mentions metaswarm, or when the user wants to begin tracked development work","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002Ftools\u002Feditor\u002Fmetaswarm\u002Fskills\u002Fstart\u002FSKILL.md",[220],{"categoryNo":24,"categoryName":25,"taxonomyType":21,"taxonomyTypeDesc":22},[216,222,140,223,224,225,144,226,227,228,229],"start issue","issue","ready","work on issue","user","work","work on","development",{"skillNo":231,"name":207,"nameZh":6,"description":232,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":233,"categories":234,"keywords":235,"publishedAt":43},"01M6DF6QMJ9AJKFKHHKRT005PQ","Interactive project setup — detects your project, configures metaswarm, writes project-local files","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002Ftools\u002Feditor\u002Fmetaswarm\u002Fskills\u002Fsetup\u002FSKILL.md",[],[207,209,173,236,211,237],"files","interactive"]