[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6DBX0SKTWWKA6Y6JD29PW0S":3,"skill-same:01M6DBX0SKTWWKA6Y6JD29PW0S":73},{"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":23,"publishedAt":34,"linkOnly":35,"markdownContent":36,"markdownBody":37,"frontMatter":38,"refName":39,"commitSha":40,"skillDirectory":41,"forksCount":14,"repositoryHtmlUrl":42,"repositoryHomepageUrl":6,"ownerHtmlUrl":43,"ownerBlogUrl":6,"ownerDescription":6,"updatedAt":44,"install":45,"resources":58},"01M6DBX0SKTWWKA6Y6JD29PW0S","skill-stocktake",null,"Use when auditing Claude skills and commands for quality. Supports Quick Scan (changed skills only) and Full Stocktake modes with sequential subagent batch evaluation.","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\u002Fskill-stocktake\u002FSKILL.md",[18],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000023","Skill与智能体开发","SCENARIO","使用场景",[24,25,26,27,28,29,30,31,32,33],"skill stocktake","batch","Evaluation","subagent","quality","use","only","scan","commands","full","2026-11-10 10:12:30",false,"---\nname: skill-stocktake\ndescription: \"Use when auditing Claude skills and commands for quality. Supports Quick Scan (changed skills only) and Full Stocktake modes with sequential subagent batch evaluation.\"\n---\n\n# skill-stocktake\n\nSlash command (`\u002Fskill-stocktake`) that audits all Claude skills and commands using a quality checklist + AI holistic judgment. Supports two modes: Quick Scan for recently changed skills, and Full Stocktake for a complete review.\n\n## Scope\n\nThe command targets the following paths **relative to the directory where it is invoked**:\n\n| Path | Description |\n|------|-------------|\n| `~\u002F.claude\u002Fskills\u002F` | Global skills (all projects) |\n| `{cwd}\u002F.claude\u002Fskills\u002F` | Project-level skills (if the directory exists) |\n\n**At the start of Phase 1, the command explicitly lists which paths were found and scanned.**\n\n### Targeting a specific project\n\nTo include project-level skills, run from that project's root directory:\n\n```bash\ncd ~\u002Fpath\u002Fto\u002Fmy-project\n\u002Fskill-stocktake\n```\n\nIf the project has no `.claude\u002Fskills\u002F` directory, only global skills and commands are evaluated.\n\n## Modes\n\n| Mode | Trigger | Duration |\n|------|---------|---------|\n| Quick Scan | `results.json` exists (default) | 5–10 min |\n| Full Stocktake | `results.json` absent, or `\u002Fskill-stocktake full` | 20–30 min |\n\n**Results cache:** `~\u002F.claude\u002Fskills\u002Fskill-stocktake\u002Fresults.json`\n\n## Quick Scan Flow\n\nRe-evaluate only skills that have changed since the last run (5–10 min).\n\n1. Read `~\u002F.claude\u002Fskills\u002Fskill-stocktake\u002Fresults.json`\n2. Run: `bash ~\u002F.claude\u002Fskills\u002Fskill-stocktake\u002Fscripts\u002Fquick-diff.sh \\\n         ~\u002F.claude\u002Fskills\u002Fskill-stocktake\u002Fresults.json`\n   (Project dir is auto-detected from `$PWD\u002F.claude\u002Fskills`; pass it explicitly only if needed)\n3. If output is `[]`: report \"No changes since last run.\" and stop\n4. Re-evaluate only those changed files using the same Phase 2 criteria\n5. Carry forward unchanged skills from previous results\n6. Output only the diff\n7. Run: `bash ~\u002F.claude\u002Fskills\u002Fskill-stocktake\u002Fscripts\u002Fsave-results.sh \\\n         ~\u002F.claude\u002Fskills\u002Fskill-stocktake\u002Fresults.json \u003C\u003C\u003C \"$EVAL_RESULTS\"`\n\n## Full Stocktake Flow\n\n### Phase 1 — Inventory\n\nRun: `bash ~\u002F.claude\u002Fskills\u002Fskill-stocktake\u002Fscripts\u002Fscan.sh`\n\nThe script enumerates skill files, extracts frontmatter, and collects UTC mtimes.\nProject dir is auto-detected from `$PWD\u002F.claude\u002Fskills`; pass it explicitly only if needed.\nPresent the scan summary and inventory table from the script output:\n\n```\nScanning:\n  ✓ ~\u002F.claude\u002Fskills\u002F         (17 files)\n  ✗ {cwd}\u002F.claude\u002Fskills\u002F    (not found — global skills only)\n```\n\n| Skill | 7d use | 30d use | Description |\n|-------|--------|---------|-------------|\n\n### Phase 2 — Quality Evaluation\n\nLaunch an Agent tool subagent (**general-purpose agent**) with the full inventory and checklist:\n\n```text\nAgent(\n  subagent_type=\"general-purpose\",\n  prompt=\"\nEvaluate the following skill inventory against the checklist.\n\n[INVENTORY]\n\n[CHECKLIST]\n\nReturn JSON for each skill:\n{ \\\"verdict\\\": \\\"Keep\\\"|\\\"Improve\\\"|\\\"Update\\\"|\\\"Retire\\\"|\\\"Merge into [X]\\\", \\\"reason\\\": \\\"...\\\" }\n\"\n)\n```\n\nThe subagent reads each skill, applies the checklist, and returns per-skill JSON:\n\n`{ \"verdict\": \"Keep\"|\"Improve\"|\"Update\"|\"Retire\"|\"Merge into [X]\", \"reason\": \"...\" }`\n\n**Chunk guidance:** Process ~20 skills per subagent invocation to keep context manageable. Save intermediate results to `results.json` (`status: \"in_progress\"`) after each chunk.\n\nAfter all skills are evaluated: set `status: \"completed\"`, proceed to Phase 3.\n\n**Resume detection:** If `status: \"in_progress\"` is found on startup, resume from the first unevaluated skill.\n\nEach skill is evaluated against this checklist:\n\n```\n- [ ] Content overlap with other skills checked\n- [ ] Overlap with MEMORY.md \u002F CLAUDE.md checked\n- [ ] Freshness of technical references verified (use WebSearch if tool names \u002F CLI flags \u002F APIs are present)\n- [ ] Usage frequency considered\n```\n\nVerdict criteria:\n\n| Verdict | Meaning |\n|---------|---------|\n| Keep | Useful and current |\n| Improve | Worth keeping, but specific improvements needed |\n| Update | Referenced technology is outdated (verify with WebSearch) |\n| Retire | Low quality, stale, or cost-asymmetric |\n| Merge into [X] | Substantial overlap with another skill; name the merge target |\n\nEvaluation is **holistic AI judgment** — not a numeric rubric. Guiding dimensions:\n- **Actionability**: code examples, commands, or steps that let you act immediately\n- **Scope fit**: name, trigger, and content are aligned; not too broad or narrow\n- **Uniqueness**: value not replaceable by MEMORY.md \u002F CLAUDE.md \u002F another skill\n- **Currency**: technical references work in the current environment\n\n**Reason quality requirements** — the `reason` field must be self-contained and decision-enabling:\n- Do NOT write \"unchanged\" alone — always restate the core evidence\n- For **Retire**: state (1) what specific defect was found, (2) what covers the same need instead\n  - Bad: `\"Superseded\"`\n  - Good: `\"disable-model-invocation: true already set; superseded by continuous-learning-v2 which covers all the same patterns plus confidence scoring. No unique content remains.\"`\n- For **Merge**: name the target and describe what content to integrate\n  - Bad: `\"Overlaps with X\"`\n  - Good: `\"42-line thin content; Step 4 of chatlog-to-article already covers the same workflow. Integrate the 'article angle' tip as a note in that skill.\"`\n- For **Improve**: describe the specific change needed (what section, what action, target size if relevant)\n  - Bad: `\"Too long\"`\n  - Good: `\"276 lines; Section 'Framework Comparison' (L80–140) duplicates ai-era-architecture-principles; delete it to reach ~150 lines.\"`\n- For **Keep** (mtime-only change in Quick Scan): restate the original verdict rationale, do not write \"unchanged\"\n  - Bad: `\"Unchanged\"`\n  - Good: `\"mtime updated but content unchanged. Unique Python reference explicitly imported by rules\u002Fpython\u002F; no overlap found.\"`\n\n### Phase 3 — Summary Table\n\n| Skill | 7d use | Verdict | Reason |\n|-------|--------|---------|--------|\n\n### Phase 4 — Consolidation\n\n1. **Retire \u002F Merge**: present detailed justification per file before confirming with user:\n   - What specific problem was found (overlap, staleness, broken references, etc.)\n   - What alternative covers the same functionality (for Retire: which existing skill\u002Frule; for Merge: the target file and what content to integrate)\n   - Impact of removal (any dependent skills, MEMORY.md references, or workflows affected)\n2. **Improve**: present specific improvement suggestions with rationale:\n   - What to change and why (e.g., \"trim 430→200 lines because sections X\u002FY duplicate python-patterns\")\n   - User decides whether to act\n3. **Update**: present updated content with sources checked\n4. Check MEMORY.md line count; propose compression if >100 lines\n\n## Results File Schema\n\n`~\u002F.claude\u002Fskills\u002Fskill-stocktake\u002Fresults.json`:\n\n**`evaluated_at`**: Must be set to the actual UTC time of evaluation completion.\nObtain via Bash: `date -u +%Y-%m-%dT%H:%M:%SZ`. Never use a date-only approximation like `T00:00:00Z`.\n\n```json\n{\n  \"evaluated_at\": \"2026-02-21T10:00:00Z\",\n  \"mode\": \"full\",\n  \"batch_progress\": {\n    \"total\": 80,\n    \"evaluated\": 80,\n    \"status\": \"completed\"\n  },\n  \"skills\": {\n    \"skill-name\": {\n      \"path\": \"~\u002F.claude\u002Fskills\u002Fskill-name\u002FSKILL.md\",\n      \"verdict\": \"Keep\",\n      \"reason\": \"Concrete, actionable, unique value for X workflow\",\n      \"mtime\": \"2026-01-15T08:30:00Z\"\n    }\n  }\n}\n```\n\n## Notes\n\n- Evaluation is blind: the same checklist applies to all skills regardless of origin (ECC, self-authored, auto-extracted)\n- Archive \u002F delete operations always require explicit user confirmation\n- No verdict branching by skill origin\n","# skill-stocktake\n\nSlash command (`\u002Fskill-stocktake`) that audits all Claude skills and commands using a quality checklist + AI holistic judgment. Supports two modes: Quick Scan for recently changed skills, and Full Stocktake for a complete review.\n\n## Scope\n\nThe command targets the following paths **relative to the directory where it is invoked**:\n\n| Path | Description |\n|------|-------------|\n| `~\u002F.claude\u002Fskills\u002F` | Global skills (all projects) |\n| `{cwd}\u002F.claude\u002Fskills\u002F` | Project-level skills (if the directory exists) |\n\n**At the start of Phase 1, the command explicitly lists which paths were found and scanned.**\n\n### Targeting a specific project\n\nTo include project-level skills, run from that project's root directory:\n\n```bash\ncd ~\u002Fpath\u002Fto\u002Fmy-project\n\u002Fskill-stocktake\n```\n\nIf the project has no `.claude\u002Fskills\u002F` directory, only global skills and commands are evaluated.\n\n## Modes\n\n| Mode | Trigger | Duration |\n|------|---------|---------|\n| Quick Scan | `results.json` exists (default) | 5–10 min |\n| Full Stocktake | `results.json` absent, or `\u002Fskill-stocktake full` | 20–30 min |\n\n**Results cache:** `~\u002F.claude\u002Fskills\u002Fskill-stocktake\u002Fresults.json`\n\n## Quick Scan Flow\n\nRe-evaluate only skills that have changed since the last run (5–10 min).\n\n1. Read `~\u002F.claude\u002Fskills\u002Fskill-stocktake\u002Fresults.json`\n2. Run: `bash ~\u002F.claude\u002Fskills\u002Fskill-stocktake\u002Fscripts\u002Fquick-diff.sh \\\n         ~\u002F.claude\u002Fskills\u002Fskill-stocktake\u002Fresults.json`\n   (Project dir is auto-detected from `$PWD\u002F.claude\u002Fskills`; pass it explicitly only if needed)\n3. If output is `[]`: report \"No changes since last run.\" and stop\n4. Re-evaluate only those changed files using the same Phase 2 criteria\n5. Carry forward unchanged skills from previous results\n6. Output only the diff\n7. Run: `bash ~\u002F.claude\u002Fskills\u002Fskill-stocktake\u002Fscripts\u002Fsave-results.sh \\\n         ~\u002F.claude\u002Fskills\u002Fskill-stocktake\u002Fresults.json \u003C\u003C\u003C \"$EVAL_RESULTS\"`\n\n## Full Stocktake Flow\n\n### Phase 1 — Inventory\n\nRun: `bash ~\u002F.claude\u002Fskills\u002Fskill-stocktake\u002Fscripts\u002Fscan.sh`\n\nThe script enumerates skill files, extracts frontmatter, and collects UTC mtimes.\nProject dir is auto-detected from `$PWD\u002F.claude\u002Fskills`; pass it explicitly only if needed.\nPresent the scan summary and inventory table from the script output:\n\n```\nScanning:\n  ✓ ~\u002F.claude\u002Fskills\u002F         (17 files)\n  ✗ {cwd}\u002F.claude\u002Fskills\u002F    (not found — global skills only)\n```\n\n| Skill | 7d use | 30d use | Description |\n|-------|--------|---------|-------------|\n\n### Phase 2 — Quality Evaluation\n\nLaunch an Agent tool subagent (**general-purpose agent**) with the full inventory and checklist:\n\n```text\nAgent(\n  subagent_type=\"general-purpose\",\n  prompt=\"\nEvaluate the following skill inventory against the checklist.\n\n[INVENTORY]\n\n[CHECKLIST]\n\nReturn JSON for each skill:\n{ \\\"verdict\\\": \\\"Keep\\\"|\\\"Improve\\\"|\\\"Update\\\"|\\\"Retire\\\"|\\\"Merge into [X]\\\", \\\"reason\\\": \\\"...\\\" }\n\"\n)\n```\n\nThe subagent reads each skill, applies the checklist, and returns per-skill JSON:\n\n`{ \"verdict\": \"Keep\"|\"Improve\"|\"Update\"|\"Retire\"|\"Merge into [X]\", \"reason\": \"...\" }`\n\n**Chunk guidance:** Process ~20 skills per subagent invocation to keep context manageable. Save intermediate results to `results.json` (`status: \"in_progress\"`) after each chunk.\n\nAfter all skills are evaluated: set `status: \"completed\"`, proceed to Phase 3.\n\n**Resume detection:** If `status: \"in_progress\"` is found on startup, resume from the first unevaluated skill.\n\nEach skill is evaluated against this checklist:\n\n```\n- [ ] Content overlap with other skills checked\n- [ ] Overlap with MEMORY.md \u002F CLAUDE.md checked\n- [ ] Freshness of technical references verified (use WebSearch if tool names \u002F CLI flags \u002F APIs are present)\n- [ ] Usage frequency considered\n```\n\nVerdict criteria:\n\n| Verdict | Meaning |\n|---------|---------|\n| Keep | Useful and current |\n| Improve | Worth keeping, but specific improvements needed |\n| Update | Referenced technology is outdated (verify with WebSearch) |\n| Retire | Low quality, stale, or cost-asymmetric |\n| Merge into [X] | Substantial overlap with another skill; name the merge target |\n\nEvaluation is **holistic AI judgment** — not a numeric rubric. Guiding dimensions:\n- **Actionability**: code examples, commands, or steps that let you act immediately\n- **Scope fit**: name, trigger, and content are aligned; not too broad or narrow\n- **Uniqueness**: value not replaceable by MEMORY.md \u002F CLAUDE.md \u002F another skill\n- **Currency**: technical references work in the current environment\n\n**Reason quality requirements** — the `reason` field must be self-contained and decision-enabling:\n- Do NOT write \"unchanged\" alone — always restate the core evidence\n- For **Retire**: state (1) what specific defect was found, (2) what covers the same need instead\n  - Bad: `\"Superseded\"`\n  - Good: `\"disable-model-invocation: true already set; superseded by continuous-learning-v2 which covers all the same patterns plus confidence scoring. No unique content remains.\"`\n- For **Merge**: name the target and describe what content to integrate\n  - Bad: `\"Overlaps with X\"`\n  - Good: `\"42-line thin content; Step 4 of chatlog-to-article already covers the same workflow. Integrate the 'article angle' tip as a note in that skill.\"`\n- For **Improve**: describe the specific change needed (what section, what action, target size if relevant)\n  - Bad: `\"Too long\"`\n  - Good: `\"276 lines; Section 'Framework Comparison' (L80–140) duplicates ai-era-architecture-principles; delete it to reach ~150 lines.\"`\n- For **Keep** (mtime-only change in Quick Scan): restate the original verdict rationale, do not write \"unchanged\"\n  - Bad: `\"Unchanged\"`\n  - Good: `\"mtime updated but content unchanged. Unique Python reference explicitly imported by rules\u002Fpython\u002F; no overlap found.\"`\n\n### Phase 3 — Summary Table\n\n| Skill | 7d use | Verdict | Reason |\n|-------|--------|---------|--------|\n\n### Phase 4 — Consolidation\n\n1. **Retire \u002F Merge**: present detailed justification per file before confirming with user:\n   - What specific problem was found (overlap, staleness, broken references, etc.)\n   - What alternative covers the same functionality (for Retire: which existing skill\u002Frule; for Merge: the target file and what content to integrate)\n   - Impact of removal (any dependent skills, MEMORY.md references, or workflows affected)\n2. **Improve**: present specific improvement suggestions with rationale:\n   - What to change and why (e.g., \"trim 430→200 lines because sections X\u002FY duplicate python-patterns\")\n   - User decides whether to act\n3. **Update**: present updated content with sources checked\n4. Check MEMORY.md line count; propose compression if >100 lines\n\n## Results File Schema\n\n`~\u002F.claude\u002Fskills\u002Fskill-stocktake\u002Fresults.json`:\n\n**`evaluated_at`**: Must be set to the actual UTC time of evaluation completion.\nObtain via Bash: `date -u +%Y-%m-%dT%H:%M:%SZ`. Never use a date-only approximation like `T00:00:00Z`.\n\n```json\n{\n  \"evaluated_at\": \"2026-02-21T10:00:00Z\",\n  \"mode\": \"full\",\n  \"batch_progress\": {\n    \"total\": 80,\n    \"evaluated\": 80,\n    \"status\": \"completed\"\n  },\n  \"skills\": {\n    \"skill-name\": {\n      \"path\": \"~\u002F.claude\u002Fskills\u002Fskill-name\u002FSKILL.md\",\n      \"verdict\": \"Keep\",\n      \"reason\": \"Concrete, actionable, unique value for X workflow\",\n      \"mtime\": \"2026-01-15T08:30:00Z\"\n    }\n  }\n}\n```\n\n## Notes\n\n- Evaluation is blind: the same checklist applies to all skills regardless of origin (ECC, self-authored, auto-extracted)\n- Archive \u002F delete operations always require explicit user confirmation\n- No verdict branching by skill origin\n",{"name":5,"description":7},"main","a298c929b6cbd662e1fce54302ce520d5ceea1a5",".agents\u002Fskills\u002Fskill-stocktake","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain","https:\u002F\u002Fgithub.com\u002FPrekzursil","2026-11-02 14:30:57",{"source":8,"skillName":5,"commands":46,"prompt":56,"zipAvailable":57},[47,50,53],{"tool":48,"command":49},"npx","npx skills add Prekzursil\u002Fagent-skills-toolchain --skill skill-stocktake",{"tool":51,"command":52},"bunx","bunx skills add Prekzursil\u002Fagent-skills-toolchain --skill skill-stocktake",{"tool":54,"command":55},"pnpm","pnpm dlx skills add Prekzursil\u002Fagent-skills-toolchain --skill skill-stocktake","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fskill-stocktake\u002FSKILL.md",true,[59,65,69],{"path":60,"resourceType":61,"resourceTypeDesc":62,"sizeBytes":63,"sourceHtmlUrl":64},"scripts\u002Fquick-diff.sh","SCRIPT","脚本",3271,"https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fskill-stocktake\u002Fscripts\u002Fquick-diff.sh",{"path":66,"resourceType":61,"resourceTypeDesc":62,"sizeBytes":67,"sourceHtmlUrl":68},"scripts\u002Fsave-results.sh",1952,"https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fskill-stocktake\u002Fscripts\u002Fsave-results.sh",{"path":70,"resourceType":61,"resourceTypeDesc":62,"sizeBytes":71,"sourceHtmlUrl":72},"scripts\u002Fscan.sh",5677,"https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fskill-stocktake\u002Fscripts\u002Fscan.sh",[74,95,122,149,163,179],{"skillNo":75,"name":76,"nameZh":6,"description":77,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":78,"categories":79,"keywords":80,"publishedAt":34},"01M6DF7D7478R55P46REYH4QAC","clarify-requirements","Resolve genuine pre-execution ambiguity by scanning repo context, generating 1-6 grounded options, and asking 1-3 focused questions via AskUserQuestion. NOT for mid-task use (injection risk); NOT when the goal is already unambiguous; use to disambiguate vague prompts before any file edits.","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002Ftools\u002Fworkspace-hooks\u002Fskills\u002Fclarify-requirements\u002FSKILL.md",[],[81,82,83,84,85,86,87,88,89,29,90,91,92,93,94],"clarify requirements","clarify","requirements","risk","options","task","prompts","goal","scanning","context","repo","injection","execution","file",{"skillNo":96,"name":97,"nameZh":6,"description":98,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":99,"categories":100,"keywords":102,"publishedAt":34},"01M6DF79CA4BHJS66J8EZDBPWJ","openmm-md","Run FREE, open-source, Windows-native GPU molecular dynamics via the openmm-md MCP (OpenMM + CUDA on the local NVIDIA GPU). Use for protein \u002F protein-ligand MD when you want a free stack or are on Windows without a Schrodinger license. Covers the full workflow (prepare, solvate, minimize, equilibrate, production, analyze, mmgbsa) AND an honest decision guide vs Schrodinger Desmond, including how to run Desmond legitimately on Linux or a cloud GPU with a real license. This is a deliberately LESSER free alternative and does NOT replace the schrodinger MCP tools. 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",[101],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},[103,104,105,106,107,108,109,110,111,112,113,114,115,116,29,117,118,119,120,121],"openmm md","how","decision","pick","linux","analyze","tool","stack","open","NVIDIA","gpu","license","workflow","windows","free","molecular dynamics","local","do","MCP",{"skillNo":123,"name":124,"nameZh":6,"description":125,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":126,"categories":127,"keywords":134,"publishedAt":34},"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",[128,131],{"categoryNo":129,"categoryName":130,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000003","演示文稿",{"categoryNo":132,"categoryName":133,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000008","测试与质量",[135,136,137,138,139,140,141,142,143,144,104,145,146,147,148],"review","visual","visual review","pages","web","false","iteration","take","check","slides","ui","screenshot","playwright","screenshots",{"skillNo":150,"name":151,"nameZh":6,"description":152,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":153,"categories":154,"keywords":155,"publishedAt":34},"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",[],[151,156,157,158,159,160,161,162],"setup","report","project","installation","project setup","issues","state",{"skillNo":164,"name":165,"nameZh":6,"description":166,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":167,"categories":168,"keywords":170,"publishedAt":34},"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",[169],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},[165,171,86,172,173,174,29,175,176,177,178],"start issue","issue","ready","work on issue","user","work","work on","development",{"skillNo":180,"name":156,"nameZh":6,"description":181,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":182,"categories":183,"keywords":184,"publishedAt":34},"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",[],[156,158,119,185,160,186],"files","interactive"]