[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6MPJ051NHA6DBT0MDN5ZFYF":3,"skill-same:01M6MPJ051NHA6DBT0MDN5ZFYF":64},{"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":30,"linkOnly":31,"markdownContent":32,"markdownBody":33,"frontMatter":34,"refName":40,"commitSha":41,"skillDirectory":42,"forksCount":43,"repositoryHtmlUrl":44,"repositoryHomepageUrl":45,"ownerHtmlUrl":46,"ownerBlogUrl":47,"ownerDescription":48,"updatedAt":49,"install":50,"resources":63},"01M6MPJ051NHA6DBT0MDN5ZFYF","lark-skill-maker",null,"创建 lark-cli 的自定义 Skill。当用户需要把飞书 API 操作封装成可复用的 Skill（包装原子 API 或编排多步流程）时使用。","hashgraph-online\u002Fawesome-codex-plugins","hashgraph-online","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F160371962?v=4","01M6CNB6NRJVNNGN14TR01Q6D3","HOL (Hashgraph Online)","01M6JT1HSKKG9V68KQAQGBA7XP",1571,"Apache-2.0","https:\u002F\u002Fgithub.com\u002Fhashgraph-online\u002Fawesome-codex-plugins\u002Fblob\u002Fmain\u002Fplugins\u002Fzlsbksdxl\u002Fcodex-lark\u002Fskills\u002Flark-skill-maker\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],"lark skill maker","lark","maker","skill maker","cli","api","2026-11-10 10:12:30",false,"---\nname: lark-skill-maker\nversion: 1.0.0\ndescription: \"创建 lark-cli 的自定义 Skill。当用户需要把飞书 API 操作封装成可复用的 Skill（包装原子 API 或编排多步流程）时使用。\"\nmetadata:\n  requires:\n    bins: [\"lark-cli\"]\n---\n\n# Skill Maker\n\n基于 lark-cli 创建新 Skill。Skill = 一份 `SKILL.md`，教 AI 用 CLI 命令完成任务。\n\n## CLI 核心能力\n\n```bash\nlark-cli \u003Cservice> \u003Cresource> \u003Cmethod>          # 已注册 API\nlark-cli \u003Cservice> +\u003Cverb>                      # Shortcut（高级封装）\nlark-cli api \u003CMETHOD> \u003Cpath> [--data\u002F--params]  # 任意飞书 OpenAPI\nlark-cli schema \u003Cservice.resource.method>       # 查参数定义\n```\n\n优先级：Shortcut > 已注册 API > `api` 裸调。\n\n## 调研 API\n\n```bash\n# 1. 查看已有的 API 资源和 Shortcut\nlark-cli \u003Cservice> --help\n\n# 2. 查参数定义\nlark-cli schema \u003Cservice.resource.method>\n\n# 3. 未注册的 API，用 api 直接调用\nlark-cli api GET \u002Fopen-apis\u002Fvc\u002Fv1\u002Frooms --params '{\"page_size\":\"50\"}'\nlark-cli api POST \u002Fopen-apis\u002Fvc\u002Fv1\u002Frooms\u002Fsearch --data '{\"query\":\"5F\"}'\n```\n\n如果以上命令无法覆盖需求（CLI 没有对应的已注册 API 或 Shortcut），使用 [lark-openapi-explorer](..\u002Flark-openapi-explorer\u002FSKILL.md) 从飞书官方文档库逐层挖掘原生 OpenAPI 接口，获取完整的方法、路径、参数和权限信息，再通过 `lark-cli api` 裸调完成任务。\n\n通过以上流程确定需要哪些 API、参数和 scope。\n\n## SKILL.md 模板\n\n文件放在 `skills\u002Flark-\u003Cname>\u002FSKILL.md`：\n\n```markdown\n---\nname: lark-\u003Cname>\nversion: 1.0.0\ndescription: \"\u003C功能描述>。当用户需要\u003C触发场景>时使用。\"\nmetadata:\n  requires:\n    bins: [\"lark-cli\"]\n---\n\n\n# \u003C标题>\n\n> **前置条件：** 先阅读 [`..\u002Flark-shared\u002FSKILL.md`](..\u002Flark-shared\u002FSKILL.md)。\n\n## 命令\n\n\\```bash\n# 单步操作\nlark-cli api POST \u002Fopen-apis\u002Fxxx --data '{...}'\n\n# 多步编排：说明步骤间数据传递\n# Step 1: ...（记录返回的 xxx_id）\n# Step 2: 使用 Step 1 的 xxx_id\n\\```\n\n## 权限\n\n| 操作 | 所需 scope |\n|------|-----------|\n| xxx | `scope:name` |\n```\n\n## 关键原则\n\n- **description 决定触发** — 包含功能关键词 + \"当用户需要...时使用\"\n- **认证** — 说明所需 scope，登录用 `lark-cli auth login --domain \u003Cname>`\n- **安全** — 写入操作前确认用户意图，建议 `--dry-run` 预览\n- **编排** — 说明数据传递、失败回滚、可并行步骤\n","# Skill Maker\n\n基于 lark-cli 创建新 Skill。Skill = 一份 `SKILL.md`，教 AI 用 CLI 命令完成任务。\n\n## CLI 核心能力\n\n```bash\nlark-cli \u003Cservice> \u003Cresource> \u003Cmethod>          # 已注册 API\nlark-cli \u003Cservice> +\u003Cverb>                      # Shortcut（高级封装）\nlark-cli api \u003CMETHOD> \u003Cpath> [--data\u002F--params]  # 任意飞书 OpenAPI\nlark-cli schema \u003Cservice.resource.method>       # 查参数定义\n```\n\n优先级：Shortcut > 已注册 API > `api` 裸调。\n\n## 调研 API\n\n```bash\n# 1. 查看已有的 API 资源和 Shortcut\nlark-cli \u003Cservice> --help\n\n# 2. 查参数定义\nlark-cli schema \u003Cservice.resource.method>\n\n# 3. 未注册的 API，用 api 直接调用\nlark-cli api GET \u002Fopen-apis\u002Fvc\u002Fv1\u002Frooms --params '{\"page_size\":\"50\"}'\nlark-cli api POST \u002Fopen-apis\u002Fvc\u002Fv1\u002Frooms\u002Fsearch --data '{\"query\":\"5F\"}'\n```\n\n如果以上命令无法覆盖需求（CLI 没有对应的已注册 API 或 Shortcut），使用 [lark-openapi-explorer](..\u002Flark-openapi-explorer\u002FSKILL.md) 从飞书官方文档库逐层挖掘原生 OpenAPI 接口，获取完整的方法、路径、参数和权限信息，再通过 `lark-cli api` 裸调完成任务。\n\n通过以上流程确定需要哪些 API、参数和 scope。\n\n## SKILL.md 模板\n\n文件放在 `skills\u002Flark-\u003Cname>\u002FSKILL.md`：\n\n```markdown\n---\nname: lark-\u003Cname>\nversion: 1.0.0\ndescription: \"\u003C功能描述>。当用户需要\u003C触发场景>时使用。\"\nmetadata:\n  requires:\n    bins: [\"lark-cli\"]\n---\n\n\n# \u003C标题>\n\n> **前置条件：** 先阅读 [`..\u002Flark-shared\u002FSKILL.md`](..\u002Flark-shared\u002FSKILL.md)。\n\n## 命令\n\n\\```bash\n# 单步操作\nlark-cli api POST \u002Fopen-apis\u002Fxxx --data '{...}'\n\n# 多步编排：说明步骤间数据传递\n# Step 1: ...（记录返回的 xxx_id）\n# Step 2: 使用 Step 1 的 xxx_id\n\\```\n\n## 权限\n\n| 操作 | 所需 scope |\n|------|-----------|\n| xxx | `scope:name` |\n```\n\n## 关键原则\n\n- **description 决定触发** — 包含功能关键词 + \"当用户需要...时使用\"\n- **认证** — 说明所需 scope，登录用 `lark-cli auth login --domain \u003Cname>`\n- **安全** — 写入操作前确认用户意图，建议 `--dry-run` 预览\n- **编排** — 说明数据传递、失败回滚、可并行步骤\n",{"name":5,"version":35,"metadata":36,"description":7},"1.0.0",{"requires":37},{"bins":38},[39],"lark-cli","main","2b63f856ce19c2a797929cacabd9e0fc936812fa","plugins\u002Fzlsbksdxl\u002Fcodex-lark\u002Fskills\u002Flark-skill-maker",490,"https:\u002F\u002Fgithub.com\u002Fhashgraph-online\u002Fawesome-codex-plugins","https:\u002F\u002Fhol.org\u002Fplugins\u002Fbest-codex-plugins","https:\u002F\u002Fgithub.com\u002Fhashgraph-online","https:\u002F\u002Fhol.org","Open-source standards and developer tools for interoperable AI agents: discovery, identity, communication, payments, privacy and security.","2026-11-14 02:12:02",{"source":8,"skillName":5,"commands":51,"prompt":61,"zipAvailable":62},[52,55,58],{"tool":53,"command":54},"npx","npx skills add hashgraph-online\u002Fawesome-codex-plugins --skill lark-skill-maker",{"tool":56,"command":57},"bunx","bunx skills add hashgraph-online\u002Fawesome-codex-plugins --skill lark-skill-maker",{"tool":59,"command":60},"pnpm","pnpm dlx skills add hashgraph-online\u002Fawesome-codex-plugins --skill lark-skill-maker","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Fhashgraph-online\u002Fawesome-codex-plugins\u002Fblob\u002Fmain\u002Fplugins\u002Fzlsbksdxl\u002Fcodex-lark\u002Fskills\u002Flark-skill-maker\u002FSKILL.md",true,[],[65,73,80,87,113,138],{"skillNo":66,"name":67,"nameZh":6,"description":68,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":69,"categories":70,"keywords":71,"publishedAt":72},"01M746ZWACVKMZ1BJXJZHYJSSX","migrate-to-e2e","Moves an existing Playwright, Cypress, Selenium, Appium, Detox, Maestro, or TesterArmy suite to e2e one slice at a time, with the old suite running beside the new one until each ported test is proven. Keeps a MIGRATION.md progress file so any later session resumes where the last stopped. Optionally plants a defect to show both suites catch it. Use for \u002Fmigrate-to-e2e, \"migrate our tests to e2e\", \"port these Maestro flows\", \"move our TesterArmy tests\", or when a project has an e2e config and an older suite still running.","https:\u002F\u002Fgithub.com\u002Fhashgraph-online\u002Fawesome-codex-plugins\u002Fblob\u002Fmain\u002Fplugins\u002Ftester-army\u002Fe2e\u002Fskills\u002Fmigrate-to-e2e\u002FSKILL.md",[],[],"2026-11-11 15:11:14",{"skillNo":74,"name":75,"nameZh":6,"description":76,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":77,"categories":78,"keywords":79,"publishedAt":72},"01M746ZPTAX1Q0FBKAB1CYND7E","e2e","Writes, runs, and debugs end-to-end tests for web and mobile apps with e2e, the agentic test runner, which mixes agent.act goals with exact locator assertions on a Playwright browser or an iOS or Android device. Also drives a project's running app live over the e2e MCP server to look at a screen, check a UI change, take a screenshot or record a video, and try a locator; and runs bug bashes, parallel e2e explore runs with each bug proven by a repro test. Use when a project depends on e2e or has an e2e.config.ts, when asked for end-to-end, browser, mobile, or agentic UI tests, to check a change in the running app, to QA or bug bash an app or branch, or when an e2e run fails.","https:\u002F\u002Fgithub.com\u002Fhashgraph-online\u002Fawesome-codex-plugins\u002Fblob\u002Fmain\u002Fplugins\u002Ftester-army\u002Fe2e\u002Fskills\u002Fe2e\u002FSKILL.md",[],[],{"skillNo":81,"name":82,"nameZh":6,"description":83,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":84,"categories":85,"keywords":86,"publishedAt":72},"01M746ZJN784HVHMDP9MQGCSGG","create-verification-skill","Generate a project-local verify-\u003Capp> skill on top of e2e, so any coding agent can launch the app, check it is worth driving, exercise a feature the way a user does, keep evidence, and bug bash it. Writes the skill, a feature map with one explore charter per feature, and proves it once. Use for \u002Fcreate-verification-skill, \"make a verification skill for this repo\", or when a project has no scripted way to prove UI behavior.","https:\u002F\u002Fgithub.com\u002Fhashgraph-online\u002Fawesome-codex-plugins\u002Fblob\u002Fmain\u002Fplugins\u002Ftester-army\u002Fe2e\u002Fskills\u002Fcreate-verification-skill\u002FSKILL.md",[],[],{"skillNo":88,"name":89,"nameZh":6,"description":90,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":91,"categories":92,"keywords":93,"publishedAt":30},"01M716A6ETNB9B1SQ3GXZC75VR","deja-search","deja-vu memory — search the user's past AI coding sessions with the deja CLI. Holds what they already settled and never wrote into the repo (naming rules, banned or already-tried tools, required checks before merge, preferred values, who owns what). Use before your first edit in a task, before you call a change done or ready to merge, before you recommend a tool, library, design or reviewer, before re-debugging an error that may already be solved, when they say 'didn't we fix this before', 'what did we decide about X' or 'I already have that', and before telling them something on this machine does not exist.","https:\u002F\u002Fgithub.com\u002Fhashgraph-online\u002Fawesome-codex-plugins\u002Fblob\u002Fmain\u002Fplugins\u002Fvshulcz\u002Fdeja-vu\u002Fskills\u002Fdeja-search\u002FSKILL.md",[],[94,95,96,97,98,99,100,101,102,103,104,105,106,107,108,109,110,28,111,112],"search","deja search","never","error","ready","memory","re","decide","fix","design","debugging","when","you","done","reviewer","io","change","merge","past",{"skillNo":114,"name":115,"nameZh":6,"description":116,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":117,"categories":118,"keywords":119,"publishedAt":30},"01M716A3J2W5SENSE9VGMXB375","deja-reflect","End-of-session reflection and memory curation with deja-vu. Review what was decided, what commands broke and what repaired them, and record durable project rules or decisions with deja remember so the next session starts with them.","https:\u002F\u002Fgithub.com\u002Fhashgraph-online\u002Fawesome-codex-plugins\u002Fblob\u002Fmain\u002Fplugins\u002Fvshulcz\u002Fdeja-vu\u002Fskills\u002Fdeja-reflect\u002FSKILL.md",[],[120,121,122,109,123,124,125,126,127,128,129,130,131,132,99,133,134,135,136,137],"deja reflect","reflect","review","with","record","github","next","https","node","Rules","decisions","brew","remember","project rules","project","session","end","reflection",{"skillNo":139,"name":140,"nameZh":6,"description":141,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":142,"categories":143,"keywords":151,"publishedAt":30},"01M715T3RR4BAYSR57HPPTJ0PF","revid","Make, edit, export and post AI videos with Revid (revid.ai) through the Revid MCP server. Use whenever the user wants a short-form or long-form video made (from an idea, a script, a URL, an article, a PDF, a tweet, a product page, their own clips, or a song), wants to find what is going viral on TikTok, YouTube, Instagram or X before making something, wants to edit or re-export an existing Revid project, generate a standalone AI image or clip, make a series episode, or publish and schedule a finished video to connected social accounts. Covers setup (hosted MCP with OAuth, or an API key), the 36 tools, credits, polling and the rules for publishing. Routes to the more specific revid-* skills when one fits.","https:\u002F\u002Fgithub.com\u002Fhashgraph-online\u002Fawesome-codex-plugins\u002Fblob\u002Fmain\u002Fplugins\u002Ftmakersas\u002Frevid-skills\u002Fskills\u002Frevid\u002FSKILL.md",[144,147,148],{"categoryNo":145,"categoryName":146,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000016","图像与多媒体",{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},{"categoryNo":149,"categoryName":150,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000010","后端与接口",[140,152,153,154,155,156,157,134,158,100,159,160,161,162,105,163,164,165,29,166],"URL","Video","short-form","standalone","PDF","viral","tiktok","short","social","MCP","song","image","mcp server","schedule","publish"]