[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6MP6KM0JSBP4BHQJHRT53ES":3,"skill-same:01M6MP6KM0JSBP4BHQJHRT53ES":55},{"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":26,"linkOnly":27,"markdownContent":28,"markdownBody":29,"frontMatter":30,"refName":31,"commitSha":32,"skillDirectory":33,"forksCount":34,"repositoryHtmlUrl":35,"repositoryHomepageUrl":36,"ownerHtmlUrl":37,"ownerBlogUrl":38,"ownerDescription":39,"updatedAt":40,"install":41,"resources":54},"01M6MP6KM0JSBP4BHQJHRT53ES","add-member",null,"Add a new team member. Describe what you need and ATeam infers the config.","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\u002Fyimwoo\u002Fcodex-agenteam\u002Fskills\u002Fadd-member\u002FSKILL.md",[],[19,20,21,22,23,24,25],"add","add member","config","team","you","describe","new","2026-11-10 10:12:30",false,"---\nname: add-member\ndescription: Add a new team member. Describe what you need and ATeam infers the config.\n---\n\n# AgenTeam Add Role\n\nAdd a new team member from a natural language description.\n\n## Process\n\n### 1. Auto-Init Guard\n\nCheck for `.agenteam\u002Fconfig.yaml`, `.agenteam.team\u002Fconfig.yaml`, or legacy\n`agenteam.yaml`. If all are missing:\n- Create config dir: `mkdir -p .agenteam`\n- Copy the template: `cp \u003Cplugin-dir>\u002Ftemplates\u002Fagenteam.yaml.template .agenteam\u002Fconfig.yaml`\n- Set the team name to the project directory name\n- Generate agents: `python3 \u003Cruntime>\u002Fagenteam_rt.py generate`\n\n### 2. Parse Intent\n\nExtract role details from the user's natural language request. Examples:\n\n- \"Add a performance tuning engineer\" ->\n  name: `performance_engineer`, focus: profiling + optimization\n- \"I need a security auditor on the team\" ->\n  name: `security_auditor`, focus: vulnerabilities + auth\n- \"Add a docs writer that maintains README and API docs\" ->\n  name: `docs_writer`, focus: documentation, write_scope: `docs\u002F**`\n- \"Add a DevOps engineer for CI\u002FCD\" ->\n  name: `devops_engineer`, focus: pipelines + deployment\n\nInfer as much as possible from the description:\n\n| Field | How to infer |\n|-------|-------------|\n| `name` | Snake_case from the role title |\n| `description` | From user's description |\n| `responsibilities` | 3-5 items inferred from the role's domain |\n| `participates_in` | Match to pipeline stages: research, strategy, design, plan, implement, test, review |\n| `can_write` | Yes if the role creates\u002Fmodifies files; no if it only analyzes |\n| `write_scope` | Infer from what the role writes (docs, src, tests, configs) |\n| `model` | Omit to inherit platform default. If the user requests a pin, inspect `codex debug models` and choose only from the live catalog. Use evaluation evidence to justify a strong model for demanding analysis or a smaller model for bounded worker tasks. Model is a personal override — `share-config` strips it. |\n| `reasoning_effort` | high for analysis roles, medium for execution\u002Fwriting roles |\n| `system_instructions` | Generate focused instructions from the role's domain |\n\n### 3. Team Size Check\n\nBefore confirming, count the current roles:\n\n```bash\npython3 \u003Cruntime>\u002Fagenteam_rt.py roles list\n```\n\n- **7-12 roles**: No warning. This is the productive range.\n- **13+ roles**: Warn the user:\n  \"Your team will have [N] roles. Teams above 12 can increase coordination\n  overhead and make role selection harder. Consider extending an existing\n  role's `system_instructions` instead. Proceed anyway? (yes \u002F cancel)\"\n\nAlso check: if the team will have more than 6 roles, note:\n\"Codex defaults to 6 concurrent agent threads. To run more agents in\nparallel, set `agents.max_threads` in your Codex config.toml.\"\n\n### 4. Confirm with User\n\nPresent the inferred role as a summary and ask for confirmation:\n\n```\nHere's your new team member:\n\n  Name: performance_engineer\n  Focus: Profiling, bottleneck analysis, optimization\n  Stages: review, implement\n  Writes to: src\u002F** (optimization patches)\n  Model: inherited default (or `gpt-5.4` if you want to pin it)\n\n  System instructions:\n  You are the performance engineer on an AgenTeam. Your primary job is\n  to identify bottlenecks and optimize critical paths...\n\nAdd to team? (yes \u002F adjust)\n```\n\nIf the user says \"adjust\" or requests changes, update the fields and\nre-confirm. Do not ask field-by-field -- keep it conversational.\n\n### 5. Write to Config\n\nRead the current `.agenteam\u002Fconfig.yaml` (or legacy `agenteam.yaml`) and add the new role under `roles:`.\n\nWrite the full role block including:\n- `description`\n- `responsibilities`\n- `participates_in`\n- `can_write` and `write_scope` (if applicable)\n- `model` and `reasoning_effort`\n- `parallel_safe` (true for read-only roles, false for writers unless scoped)\n- `system_instructions`\n\nIf the role participates in a pipeline stage, also add it to the\nappropriate `pipeline.stages[].roles` list.\n\n### 6. Regenerate Agents\n\n```bash\npython3 \u003Cruntime>\u002Fagenteam_rt.py generate\n```\n\n### 7. Confirm\n\nShow the user:\n- The generated agent file: `.codex\u002Fagents\u002F\u003Cname>.toml`\n- How to use it immediately:\n  - Codex App: `@ateam ask \u003Cname> to \u003Ctask>`\n  - Codex CLI: `$ateam:assign \u003Cname> \"\u003Ctask>\"`\n- Reminder: \"Edit `.agenteam\u002Fconfig.yaml` anytime to adjust this role.\"\n","# AgenTeam Add Role\n\nAdd a new team member from a natural language description.\n\n## Process\n\n### 1. Auto-Init Guard\n\nCheck for `.agenteam\u002Fconfig.yaml`, `.agenteam.team\u002Fconfig.yaml`, or legacy\n`agenteam.yaml`. If all are missing:\n- Create config dir: `mkdir -p .agenteam`\n- Copy the template: `cp \u003Cplugin-dir>\u002Ftemplates\u002Fagenteam.yaml.template .agenteam\u002Fconfig.yaml`\n- Set the team name to the project directory name\n- Generate agents: `python3 \u003Cruntime>\u002Fagenteam_rt.py generate`\n\n### 2. Parse Intent\n\nExtract role details from the user's natural language request. Examples:\n\n- \"Add a performance tuning engineer\" ->\n  name: `performance_engineer`, focus: profiling + optimization\n- \"I need a security auditor on the team\" ->\n  name: `security_auditor`, focus: vulnerabilities + auth\n- \"Add a docs writer that maintains README and API docs\" ->\n  name: `docs_writer`, focus: documentation, write_scope: `docs\u002F**`\n- \"Add a DevOps engineer for CI\u002FCD\" ->\n  name: `devops_engineer`, focus: pipelines + deployment\n\nInfer as much as possible from the description:\n\n| Field | How to infer |\n|-------|-------------|\n| `name` | Snake_case from the role title |\n| `description` | From user's description |\n| `responsibilities` | 3-5 items inferred from the role's domain |\n| `participates_in` | Match to pipeline stages: research, strategy, design, plan, implement, test, review |\n| `can_write` | Yes if the role creates\u002Fmodifies files; no if it only analyzes |\n| `write_scope` | Infer from what the role writes (docs, src, tests, configs) |\n| `model` | Omit to inherit platform default. If the user requests a pin, inspect `codex debug models` and choose only from the live catalog. Use evaluation evidence to justify a strong model for demanding analysis or a smaller model for bounded worker tasks. Model is a personal override — `share-config` strips it. |\n| `reasoning_effort` | high for analysis roles, medium for execution\u002Fwriting roles |\n| `system_instructions` | Generate focused instructions from the role's domain |\n\n### 3. Team Size Check\n\nBefore confirming, count the current roles:\n\n```bash\npython3 \u003Cruntime>\u002Fagenteam_rt.py roles list\n```\n\n- **7-12 roles**: No warning. This is the productive range.\n- **13+ roles**: Warn the user:\n  \"Your team will have [N] roles. Teams above 12 can increase coordination\n  overhead and make role selection harder. Consider extending an existing\n  role's `system_instructions` instead. Proceed anyway? (yes \u002F cancel)\"\n\nAlso check: if the team will have more than 6 roles, note:\n\"Codex defaults to 6 concurrent agent threads. To run more agents in\nparallel, set `agents.max_threads` in your Codex config.toml.\"\n\n### 4. Confirm with User\n\nPresent the inferred role as a summary and ask for confirmation:\n\n```\nHere's your new team member:\n\n  Name: performance_engineer\n  Focus: Profiling, bottleneck analysis, optimization\n  Stages: review, implement\n  Writes to: src\u002F** (optimization patches)\n  Model: inherited default (or `gpt-5.4` if you want to pin it)\n\n  System instructions:\n  You are the performance engineer on an AgenTeam. Your primary job is\n  to identify bottlenecks and optimize critical paths...\n\nAdd to team? (yes \u002F adjust)\n```\n\nIf the user says \"adjust\" or requests changes, update the fields and\nre-confirm. Do not ask field-by-field -- keep it conversational.\n\n### 5. Write to Config\n\nRead the current `.agenteam\u002Fconfig.yaml` (or legacy `agenteam.yaml`) and add the new role under `roles:`.\n\nWrite the full role block including:\n- `description`\n- `responsibilities`\n- `participates_in`\n- `can_write` and `write_scope` (if applicable)\n- `model` and `reasoning_effort`\n- `parallel_safe` (true for read-only roles, false for writers unless scoped)\n- `system_instructions`\n\nIf the role participates in a pipeline stage, also add it to the\nappropriate `pipeline.stages[].roles` list.\n\n### 6. Regenerate Agents\n\n```bash\npython3 \u003Cruntime>\u002Fagenteam_rt.py generate\n```\n\n### 7. Confirm\n\nShow the user:\n- The generated agent file: `.codex\u002Fagents\u002F\u003Cname>.toml`\n- How to use it immediately:\n  - Codex App: `@ateam ask \u003Cname> to \u003Ctask>`\n  - Codex CLI: `$ateam:assign \u003Cname> \"\u003Ctask>\"`\n- Reminder: \"Edit `.agenteam\u002Fconfig.yaml` anytime to adjust this role.\"\n",{"name":5,"description":7},"main","2b63f856ce19c2a797929cacabd9e0fc936812fa","plugins\u002Fyimwoo\u002Fcodex-agenteam\u002Fskills\u002Fadd-member",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":42,"prompt":52,"zipAvailable":53},[43,46,49],{"tool":44,"command":45},"npx","npx skills add hashgraph-online\u002Fawesome-codex-plugins --skill add-member",{"tool":47,"command":48},"bunx","bunx skills add hashgraph-online\u002Fawesome-codex-plugins --skill add-member",{"tool":50,"command":51},"pnpm","pnpm dlx skills add hashgraph-online\u002Fawesome-codex-plugins --skill add-member","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Fhashgraph-online\u002Fawesome-codex-plugins\u002Fblob\u002Fmain\u002Fplugins\u002Fyimwoo\u002Fcodex-agenteam\u002Fskills\u002Fadd-member\u002FSKILL.md",true,[],[56,64,71,78,104,129],{"skillNo":57,"name":58,"nameZh":6,"description":59,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":60,"categories":61,"keywords":62,"publishedAt":63},"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":65,"name":66,"nameZh":6,"description":67,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":68,"categories":69,"keywords":70,"publishedAt":63},"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":72,"name":73,"nameZh":6,"description":74,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":75,"categories":76,"keywords":77,"publishedAt":63},"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":79,"name":80,"nameZh":6,"description":81,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":82,"categories":83,"keywords":84,"publishedAt":26},"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",[],[85,86,87,88,89,90,91,92,93,94,95,96,23,97,98,99,100,101,102,103],"search","deja search","never","error","ready","memory","re","decide","fix","design","debugging","when","done","reviewer","io","change","cli","merge","past",{"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":110,"publishedAt":26},"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",[],[111,112,113,99,114,115,116,117,118,119,120,121,122,123,90,124,125,126,127,128],"deja reflect","reflect","review","with","record","github","next","https","node","Rules","decisions","brew","remember","project rules","project","session","end","reflection",{"skillNo":130,"name":131,"nameZh":6,"description":132,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":133,"categories":134,"keywords":146,"publishedAt":26},"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",[135,140,143],{"categoryNo":136,"categoryName":137,"taxonomyType":138,"taxonomyTypeDesc":139},"01JBSEEDCAT000000000000016","图像与多媒体","SCENARIO","使用场景",{"categoryNo":141,"categoryName":142,"taxonomyType":138,"taxonomyTypeDesc":139},"01JBSEEDCAT000000000000023","Skill与智能体开发",{"categoryNo":144,"categoryName":145,"taxonomyType":138,"taxonomyTypeDesc":139},"01JBSEEDCAT000000000000010","后端与接口",[131,147,148,149,150,151,152,125,153,91,154,155,156,157,96,158,159,160,161,162],"URL","Video","short-form","standalone","PDF","viral","tiktok","short","social","MCP","song","image","mcp server","schedule","api","publish"]