[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6DC62K4X8RY39D5DHJS2384":3,"skill-same:01M6DC62K4X8RY39D5DHJS2384":84},{"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":28,"publishedAt":37,"linkOnly":38,"markdownContent":39,"markdownBody":40,"frontMatter":41,"refName":42,"commitSha":43,"skillDirectory":44,"forksCount":14,"repositoryHtmlUrl":45,"repositoryHomepageUrl":6,"ownerHtmlUrl":46,"ownerBlogUrl":6,"ownerDescription":6,"updatedAt":47,"install":48,"resources":61},"01M6DC62K4X8RY39D5DHJS2384","writing-plans",null,"Use when you have a spec or requirements for a multi-step task, before touching code","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\u002Fwriting-plans\u002FSKILL.md",[18,23],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000018","写作与文案","SCENARIO","使用场景",{"categoryNo":24,"categoryName":25,"taxonomyType":26,"taxonomyTypeDesc":27},"01JBSEEDCAT000000000000036","内容创作者","PROFESSION","适用职业",[29,30,31,32,33,34,35,36],"writing","writing plans","plans","spec","code","use","task","requirements","2026-11-10 10:12:30",false,"---\nname: writing-plans\ndescription: Use when you have a spec or requirements for a multi-step task, before touching code\n---\n\n# Writing Plans\n\n## Overview\n\nWrite comprehensive implementation plans assuming the engineer has zero context for our codebase and questionable taste. Document everything they need to know: which files to touch for each task, code, testing, docs they might need to check, how to test it. Give them the whole plan as bite-sized tasks. DRY. YAGNI. TDD. Frequent commits.\n\nAssume they are a skilled developer, but know almost nothing about our toolset or problem domain. Assume they don't know good test design very well.\n\n**Announce at start:** \"I'm using the writing-plans skill to create the implementation plan.\"\n\n**Context:** This should be run in a dedicated worktree (created by brainstorming skill).\n\n**Save plans to:** `docs\u002Fplans\u002FYYYY-MM-DD-\u003Cfeature-name>.md`\n\n## Bite-Sized Task Granularity\n\n**Each step is one action (2-5 minutes):**\n- \"Write the failing test\" - step\n- \"Run it to make sure it fails\" - step\n- \"Implement the minimal code to make the test pass\" - step\n- \"Run the tests and make sure they pass\" - step\n- \"Commit\" - step\n\n## Plan Document Header\n\n**Every plan MUST start with this header:**\n\n```markdown\n# [Feature Name] Implementation Plan\n\n> **For Claude:** REQUIRED SUB-SKILL: Use superpowers:executing-plans to implement this plan task-by-task.\n\n**Goal:** [One sentence describing what this builds]\n\n**Architecture:** [2-3 sentences about approach]\n\n**Tech Stack:** [Key technologies\u002Flibraries]\n\n---\n```\n\n## Task Structure\n\n````markdown\n### Task N: [Component Name]\n\n**Files:**\n- Create: `exact\u002Fpath\u002Fto\u002Ffile.py`\n- Modify: `exact\u002Fpath\u002Fto\u002Fexisting.py:123-145`\n- Test: `tests\u002Fexact\u002Fpath\u002Fto\u002Ftest.py`\n\n**Step 1: Write the failing test**\n\n```python\ndef test_specific_behavior():\n    result = function(input)\n    assert result == expected\n```\n\n**Step 2: Run test to verify it fails**\n\nRun: `pytest tests\u002Fpath\u002Ftest.py::test_name -v`\nExpected: FAIL with \"function not defined\"\n\n**Step 3: Write minimal implementation**\n\n```python\ndef function(input):\n    return expected\n```\n\n**Step 4: Run test to verify it passes**\n\nRun: `pytest tests\u002Fpath\u002Ftest.py::test_name -v`\nExpected: PASS\n\n**Step 5: Commit**\n\n```bash\ngit add tests\u002Fpath\u002Ftest.py src\u002Fpath\u002Ffile.py\ngit commit -m \"feat: add specific feature\"\n```\n````\n\n## Remember\n- Exact file paths always\n- Complete code in plan (not \"add validation\")\n- Exact commands with expected output\n- Reference relevant skills with @ syntax\n- DRY, YAGNI, TDD, frequent commits\n\n## Observational Method (Wave D, 2026-08-27 — airworthiness trio 3\u002F3)\n\nEvery plan for risky\u002Flong-running work adds one short section before execution:\n\n```markdown\n**Monitored metrics:** [1-3 observable signals this plan bets on — e.g. \"suite runtime\",\n\"subagentStop status counts in cursor-subagent-lifecycle.jsonl\", \"sync exit code\"]\n\n**Trigger-action responses (pre-committed):**\n| Trigger (metric crosses...) | Action (decided NOW, not then) |\n|---|---|\n| e.g. 2 consecutive subagent aborts | stop fan-out; run remaining units in-session |\n| e.g. sync red after an edit | restore file from backup; halt further control-plane edits (MEL row 9) |\n```\n\nThe point is pre-commitment: decide before the metric moves what its movement forces. During\nexecution the response table is binding — deviating from it requires writing down why. (Origin:\nthe observational method in geotechnical engineering; see `.agents\\mel.md` for the harness MEL.)\n\n## Execution Handoff\n\nAfter saving the plan, offer execution choice:\n\n**\"Plan complete and saved to `docs\u002Fplans\u002F\u003Cfilename>.md`. Two execution options:**\n\n**1. Subagent-Driven (this session)** - I dispatch fresh subagent per task, review between tasks, fast iteration\n\n**2. Parallel Session (separate)** - Open new session with executing-plans, batch execution with checkpoints\n\n**Which approach?\"**\n\n**If Subagent-Driven chosen:**\n- **REQUIRED SUB-SKILL:** Use superpowers:subagent-driven-development\n- Stay in this session\n- Fresh subagent per task + code review\n\n**If Parallel Session chosen:**\n- Guide them to open new session in worktree\n- **REQUIRED SUB-SKILL:** New session uses superpowers:executing-plans\n","# Writing Plans\n\n## Overview\n\nWrite comprehensive implementation plans assuming the engineer has zero context for our codebase and questionable taste. Document everything they need to know: which files to touch for each task, code, testing, docs they might need to check, how to test it. Give them the whole plan as bite-sized tasks. DRY. YAGNI. TDD. Frequent commits.\n\nAssume they are a skilled developer, but know almost nothing about our toolset or problem domain. Assume they don't know good test design very well.\n\n**Announce at start:** \"I'm using the writing-plans skill to create the implementation plan.\"\n\n**Context:** This should be run in a dedicated worktree (created by brainstorming skill).\n\n**Save plans to:** `docs\u002Fplans\u002FYYYY-MM-DD-\u003Cfeature-name>.md`\n\n## Bite-Sized Task Granularity\n\n**Each step is one action (2-5 minutes):**\n- \"Write the failing test\" - step\n- \"Run it to make sure it fails\" - step\n- \"Implement the minimal code to make the test pass\" - step\n- \"Run the tests and make sure they pass\" - step\n- \"Commit\" - step\n\n## Plan Document Header\n\n**Every plan MUST start with this header:**\n\n```markdown\n# [Feature Name] Implementation Plan\n\n> **For Claude:** REQUIRED SUB-SKILL: Use superpowers:executing-plans to implement this plan task-by-task.\n\n**Goal:** [One sentence describing what this builds]\n\n**Architecture:** [2-3 sentences about approach]\n\n**Tech Stack:** [Key technologies\u002Flibraries]\n\n---\n```\n\n## Task Structure\n\n````markdown\n### Task N: [Component Name]\n\n**Files:**\n- Create: `exact\u002Fpath\u002Fto\u002Ffile.py`\n- Modify: `exact\u002Fpath\u002Fto\u002Fexisting.py:123-145`\n- Test: `tests\u002Fexact\u002Fpath\u002Fto\u002Ftest.py`\n\n**Step 1: Write the failing test**\n\n```python\ndef test_specific_behavior():\n    result = function(input)\n    assert result == expected\n```\n\n**Step 2: Run test to verify it fails**\n\nRun: `pytest tests\u002Fpath\u002Ftest.py::test_name -v`\nExpected: FAIL with \"function not defined\"\n\n**Step 3: Write minimal implementation**\n\n```python\ndef function(input):\n    return expected\n```\n\n**Step 4: Run test to verify it passes**\n\nRun: `pytest tests\u002Fpath\u002Ftest.py::test_name -v`\nExpected: PASS\n\n**Step 5: Commit**\n\n```bash\ngit add tests\u002Fpath\u002Ftest.py src\u002Fpath\u002Ffile.py\ngit commit -m \"feat: add specific feature\"\n```\n````\n\n## Remember\n- Exact file paths always\n- Complete code in plan (not \"add validation\")\n- Exact commands with expected output\n- Reference relevant skills with @ syntax\n- DRY, YAGNI, TDD, frequent commits\n\n## Observational Method (Wave D, 2026-08-27 — airworthiness trio 3\u002F3)\n\nEvery plan for risky\u002Flong-running work adds one short section before execution:\n\n```markdown\n**Monitored metrics:** [1-3 observable signals this plan bets on — e.g. \"suite runtime\",\n\"subagentStop status counts in cursor-subagent-lifecycle.jsonl\", \"sync exit code\"]\n\n**Trigger-action responses (pre-committed):**\n| Trigger (metric crosses...) | Action (decided NOW, not then) |\n|---|---|\n| e.g. 2 consecutive subagent aborts | stop fan-out; run remaining units in-session |\n| e.g. sync red after an edit | restore file from backup; halt further control-plane edits (MEL row 9) |\n```\n\nThe point is pre-commitment: decide before the metric moves what its movement forces. During\nexecution the response table is binding — deviating from it requires writing down why. (Origin:\nthe observational method in geotechnical engineering; see `.agents\\mel.md` for the harness MEL.)\n\n## Execution Handoff\n\nAfter saving the plan, offer execution choice:\n\n**\"Plan complete and saved to `docs\u002Fplans\u002F\u003Cfilename>.md`. Two execution options:**\n\n**1. Subagent-Driven (this session)** - I dispatch fresh subagent per task, review between tasks, fast iteration\n\n**2. Parallel Session (separate)** - Open new session with executing-plans, batch execution with checkpoints\n\n**Which approach?\"**\n\n**If Subagent-Driven chosen:**\n- **REQUIRED SUB-SKILL:** Use superpowers:subagent-driven-development\n- Stay in this session\n- Fresh subagent per task + code review\n\n**If Parallel Session chosen:**\n- Guide them to open new session in worktree\n- **REQUIRED SUB-SKILL:** New session uses superpowers:executing-plans\n",{"name":5,"description":7},"main","a298c929b6cbd662e1fce54302ce520d5ceea1a5",".agents\u002Fskills\u002Fwriting-plans","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain","https:\u002F\u002Fgithub.com\u002FPrekzursil","2026-11-02 14:30:57",{"source":8,"skillName":5,"commands":49,"prompt":59,"zipAvailable":60},[50,53,56],{"tool":51,"command":52},"npx","npx skills add Prekzursil\u002Fagent-skills-toolchain --skill writing-plans",{"tool":54,"command":55},"bunx","bunx skills add Prekzursil\u002Fagent-skills-toolchain --skill writing-plans",{"tool":57,"command":58},"pnpm","pnpm dlx skills add Prekzursil\u002Fagent-skills-toolchain --skill writing-plans","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fwriting-plans\u002FSKILL.md",true,[62,68,72,76,80],{"path":63,"resourceType":64,"resourceTypeDesc":65,"sizeBytes":66,"sourceHtmlUrl":67},"_meta.json","REFERENCE","参考文档",132,"https:\u002F\u002Fgithub.com\u002Fsapsapshen\u002Fai-memory-router\u002Fblob\u002Fmain\u002Fskills-store\u002Fhermes\u002Fopencli-skill\u002F_meta.json",{"path":69,"resourceType":64,"resourceTypeDesc":65,"sizeBytes":70,"sourceHtmlUrl":71},".clawhub\u002Forigin.json",145,"https:\u002F\u002Fgithub.com\u002Fsapsapshen\u002Fai-memory-router\u002Fblob\u002Fmain\u002Fskills-store\u002Fhermes\u002Fopencli-skill\u002F.clawhub\u002Forigin.json",{"path":73,"resourceType":64,"resourceTypeDesc":65,"sizeBytes":74,"sourceHtmlUrl":75},"agents\u002Fopenai.yaml",152,"https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fwriting-plans\u002Fagents\u002Fopenai.yaml",{"path":77,"resourceType":64,"resourceTypeDesc":65,"sizeBytes":78,"sourceHtmlUrl":79},"README.md",12590,"https:\u002F\u002Fgithub.com\u002Fsapsapshen\u002Fai-memory-router\u002Fblob\u002Fmain\u002Fskills-store\u002Fhermes\u002Fopencli-skill\u002FREADME.md",{"path":81,"resourceType":64,"resourceTypeDesc":65,"sizeBytes":82,"sourceHtmlUrl":83},"references\u002Fcommands.md",6582,"https:\u002F\u002Fgithub.com\u002Fsapsapshen\u002Fai-memory-router\u002Fblob\u002Fmain\u002Fskills-store\u002Fhermes\u002Fopencli-skill\u002Freferences\u002Fcommands.md",[85,104,133,160,174,190],{"skillNo":86,"name":87,"nameZh":6,"description":88,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":89,"categories":90,"keywords":91,"publishedAt":37},"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",[],[92,93,36,94,95,35,96,97,98,34,99,100,101,102,103],"clarify requirements","clarify","risk","options","prompts","goal","scanning","context","repo","injection","execution","file",{"skillNo":105,"name":106,"nameZh":6,"description":107,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":108,"categories":109,"keywords":113,"publishedAt":37},"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",[110],{"categoryNo":111,"categoryName":112,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000023","Skill与智能体开发",[114,115,116,117,118,119,120,121,122,123,124,125,126,127,34,128,129,130,131,132],"openmm md","how","decision","pick","linux","analyze","tool","stack","open","NVIDIA","gpu","license","workflow","windows","free","molecular dynamics","local","do","MCP",{"skillNo":134,"name":135,"nameZh":6,"description":136,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":137,"categories":138,"keywords":145,"publishedAt":37},"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",[139,142],{"categoryNo":140,"categoryName":141,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000003","演示文稿",{"categoryNo":143,"categoryName":144,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000008","测试与质量",[146,147,148,149,150,151,152,153,154,155,115,156,157,158,159],"review","visual","visual review","pages","web","false","iteration","take","check","slides","ui","screenshot","playwright","screenshots",{"skillNo":161,"name":162,"nameZh":6,"description":163,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":164,"categories":165,"keywords":166,"publishedAt":37},"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",[],[162,167,168,169,170,171,172,173],"setup","report","project","installation","project setup","issues","state",{"skillNo":175,"name":176,"nameZh":6,"description":177,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":178,"categories":179,"keywords":181,"publishedAt":37},"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",[180],{"categoryNo":111,"categoryName":112,"taxonomyType":21,"taxonomyTypeDesc":22},[176,182,35,183,184,185,34,186,187,188,189],"start issue","issue","ready","work on issue","user","work","work on","development",{"skillNo":191,"name":167,"nameZh":6,"description":192,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":193,"categories":194,"keywords":195,"publishedAt":37},"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",[],[167,169,130,196,171,197],"files","interactive"]