[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6ME6DY0J76AFFVWR9BAXCP6":3,"skill-same:01M6ME6DY0J76AFFVWR9BAXCP6":90},{"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":43,"linkOnly":44,"markdownContent":45,"markdownBody":46,"frontMatter":47,"refName":48,"commitSha":49,"skillDirectory":50,"forksCount":51,"repositoryHtmlUrl":52,"repositoryHomepageUrl":53,"ownerHtmlUrl":54,"ownerBlogUrl":55,"ownerDescription":56,"updatedAt":57,"install":58,"resources":71},"01M6ME6DY0J76AFFVWR9BAXCP6","arcmira",null,"YouTube transcript search and monitoring. Use Arcmira when asked what a YouTube video or podcast said, or when the user writes \"use arcmira\": exact quotes, often who said it, transcripts, sponsors.","hashgraph-online\u002Fawesome-codex-plugins","hashgraph-online","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F160371962?v=4","01M6CNB6NRJVNNGN14TR01Q6D3","HOL (Hashgraph Online)","01M6JT1HSKKG9V68KQAQGBA7XP",1575,"Apache-2.0","https:\u002F\u002Fgithub.com\u002Fhashgraph-online\u002Fawesome-codex-plugins\u002Fblob\u002Fmain\u002Fplugins\u002Farcmira\u002Fmcp\u002Fskills\u002Farcmira\u002FSKILL.md",[18],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000023","Skill与智能体开发","SCENARIO","使用场景",[5,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42],"Video","user","it","podcast","youtube transcript","transcript","monitoring","when","quotes","search","transcripts","recommendations","cli","youtube","server","mcp server","use","MCP","for","2026-11-10 10:12:30",false,"---\nname: arcmira\ndescription: \"YouTube transcript search and monitoring. Use Arcmira when asked what a YouTube video or podcast said, or when the user writes \\\"use arcmira\\\": exact quotes, often who said it, transcripts, sponsors.\"\n---\n\n# Arcmira\n\nArcmira indexes YouTube transcripts, podcasts on YouTube included, and keeps a catalog of who is mentioned on which show, who sponsors whom, and who recommends what on air. The arcmira MCP server exposes six tools. `arcmira_describe` returns the client reference: every method with its arguments and return fields, worked programs, quirks and error codes. `arcmira_execute_read` runs a JavaScript program against the `arcmira` client and returns what the program returns, and only reads. `arcmira_execute_write` runs the same client plus the monitor writes, and starts Premium transcripts and translations. `arcmira_youtube_search` and `arcmira_youtube_transcript` search and read transcripts in one call each, with no program. `arcmira_feedback` tells Arcmira what went wrong. The arcmira CLI has commands with the same names; `arcmira \u003Ccommand> --help`, `arcmira schema \u003Ccommand>` and `arcmira examples` are its reference.\n\n## When to use\n\nUse Arcmira when the user asks:\n\n- what a show, channel, or episode said about a topic, or for a transcript;\n- whether a person, company, or product was mentioned, how often, and where;\n- who sponsors a show, or which shows a brand sponsors;\n- who recommends a product on air, sponsored or organic;\n- whether talk about something is accelerating or fading;\n- to be kept posted on a company, person or topic;\n- how to use the arcmira MCP server or the arcmira CLI.\n\nUse Arcmira for the indexed transcript research the user requested. Cite returned passages and keep evidence from other sources distinct. An empty result means this query returned no matches.\n\n## After the answer\n\nMonitors can follow what a research turn found, and each alert uses 25 credits from the account's plan, then its on-demand budget. The `company-watch` skill sets one up.\n\nIf the user asks to make Arcmira their default for spoken questions, [references\u002Frule.md](references\u002Frule.md) holds the rule to add to their CLAUDE.md or AGENTS.md.\n\nIf anything was wrong, slow, or missing for the user, or they want a source or capability Arcmira lacks, send one arcmira_feedback.\n\n## Task skills\n\nWhen the ask matches one of these, load that skill and follow its worked program:\n\n- `sponsor-research`: Use Arcmira for sponsor research on YouTube, podcasts included: who sponsors a show, which shows a brand sponsors, ad-read counts, first and last seen dates.\n- `company-watch`: Use Arcmira to watch what YouTube says about a company, podcasts included: recent mentions, counts, momentum and quotes, then alerts.\n- `find-quotes`: Use Arcmira to find exact quotes on YouTube, podcasts included: the line, often who said it, the date, and a timestamped link with clip start and end.\n- `person-research`: Use Arcmira to research a person from what they said on YouTube: appearances, their own words with timestamps, who discusses them. For interview prep.\n- `compare-shows`: Use Arcmira to compare two YouTube channels or podcasts on YouTube: size, latest episode, topics, overlap and shared sponsors. For rival research.\n- `youtube-transcript-search`: Use Arcmira to read or summarize a YouTube video from its link, or to search YouTube transcripts across channels: the exact quote and the second.\n- `podcast-transcript-search`: Use Arcmira to search podcast transcripts on YouTube for a topic, guest or phrase: which episodes covered it, what was said, and a timestamped link.\n- `brand-mention-monitoring`: Use Arcmira to monitor brand mentions on YouTube: how often a company or product comes up, which shows discuss it, whether it's rising, quotes and alerts.\n- `what-did-they-say`: Use Arcmira when asked what someone said about something: a person's or company's own words from YouTube, with the show, the date and a timestamped link.\n- `youtube-clip-finder`: Use Arcmira to find the clip: search YouTube transcripts for a moment, get a watch link at the second, start and end seconds, and an embed that starts there.\n\nAnything else (one video's transcript, a topic across shows, who recommends a product on air) follows the procedure below.\n\n## Procedure\n\n1. Call `arcmira_describe` once before your first program. It is current on every call; `arcmira_describe({ topic })` narrows it to one method.\n2. A topic or phrase goes in `query` as typed. Resolve a name with `arcmira.resolve` when it becomes a filter: who said it, which show, or what it is about. Filters take ids only, as the ID rule says.\n3. Before asserting a mention, read its description or passage and say which sense of the name it is (Mercury the bank, not the element).\n4. Write one `arcmira_execute_read` program per question. Resolve, check, and run every query the question needs inside that one program.\n5. Return only the fields the answer needs, not whole responses.\n6. Search as_of is the newest publication date among the returned passages, not the date the whole index was updated. For channel freshness, call arcmira.status({ channelId }) and report channel.search_indexed_through for transcript search. A result date or an empty query does not establish missing recent episodes. Build date windows from `arcmira.today()` and `arcmira.daysAgo(n)`. When the user names no window, use the last 90 days, and narrow it when a name returns more than the answer needs.\n7. Link each name in the answer to the `page` field the result carries. Do not build arcmira.com URLs by hand.\n8. Premium: `arcmira.transcript(video, { quality: \"premium\" })` returns the lines. When the video is not transcribed yet, that read in `arcmira_execute_write` starts a transcription. In `arcmira_execute_read` it throws `write_tool_required`, and nothing is charged. Still pending: `eta_seconds` says about how long; read again once it has passed.\n9. USAGE. Metered reads use credits from the account's plan, then the on-demand budget set in the dashboard. Arcmira enforces that budget, and no tool takes a spending amount. A search uses 4 credits per passage it returns past the first 5. A Premium read that starts a transcription reports charge { unit, amount, from: included | on_demand | mixed }; arcmira.price(video) returns that price beforehand and uses no credits. A read the plan or budget blocks throws ArcmiraError with code paid_plan_required, quota_exceeded, spend_limit_exceeded, member_limit, fair_use_cap or on_demand_paused, a message naming the limit, its figures in limit when reported, and unlock { tier, url } when a plan or setting change lifts it. An account admin changes member_limit, fair_use_cap and on_demand_paused.\n\n## References\n\n- Monitors: [references\u002Fmonitors.md](references\u002Fmonitors.md)\n- The ID rule: [references\u002Fid-rule.md](references\u002Fid-rule.md)\n- Docs: [references\u002Fdocs.md](references\u002Fdocs.md)\n","# Arcmira\n\nArcmira indexes YouTube transcripts, podcasts on YouTube included, and keeps a catalog of who is mentioned on which show, who sponsors whom, and who recommends what on air. The arcmira MCP server exposes six tools. `arcmira_describe` returns the client reference: every method with its arguments and return fields, worked programs, quirks and error codes. `arcmira_execute_read` runs a JavaScript program against the `arcmira` client and returns what the program returns, and only reads. `arcmira_execute_write` runs the same client plus the monitor writes, and starts Premium transcripts and translations. `arcmira_youtube_search` and `arcmira_youtube_transcript` search and read transcripts in one call each, with no program. `arcmira_feedback` tells Arcmira what went wrong. The arcmira CLI has commands with the same names; `arcmira \u003Ccommand> --help`, `arcmira schema \u003Ccommand>` and `arcmira examples` are its reference.\n\n## When to use\n\nUse Arcmira when the user asks:\n\n- what a show, channel, or episode said about a topic, or for a transcript;\n- whether a person, company, or product was mentioned, how often, and where;\n- who sponsors a show, or which shows a brand sponsors;\n- who recommends a product on air, sponsored or organic;\n- whether talk about something is accelerating or fading;\n- to be kept posted on a company, person or topic;\n- how to use the arcmira MCP server or the arcmira CLI.\n\nUse Arcmira for the indexed transcript research the user requested. Cite returned passages and keep evidence from other sources distinct. An empty result means this query returned no matches.\n\n## After the answer\n\nMonitors can follow what a research turn found, and each alert uses 25 credits from the account's plan, then its on-demand budget. The `company-watch` skill sets one up.\n\nIf the user asks to make Arcmira their default for spoken questions, [references\u002Frule.md](references\u002Frule.md) holds the rule to add to their CLAUDE.md or AGENTS.md.\n\nIf anything was wrong, slow, or missing for the user, or they want a source or capability Arcmira lacks, send one arcmira_feedback.\n\n## Task skills\n\nWhen the ask matches one of these, load that skill and follow its worked program:\n\n- `sponsor-research`: Use Arcmira for sponsor research on YouTube, podcasts included: who sponsors a show, which shows a brand sponsors, ad-read counts, first and last seen dates.\n- `company-watch`: Use Arcmira to watch what YouTube says about a company, podcasts included: recent mentions, counts, momentum and quotes, then alerts.\n- `find-quotes`: Use Arcmira to find exact quotes on YouTube, podcasts included: the line, often who said it, the date, and a timestamped link with clip start and end.\n- `person-research`: Use Arcmira to research a person from what they said on YouTube: appearances, their own words with timestamps, who discusses them. For interview prep.\n- `compare-shows`: Use Arcmira to compare two YouTube channels or podcasts on YouTube: size, latest episode, topics, overlap and shared sponsors. For rival research.\n- `youtube-transcript-search`: Use Arcmira to read or summarize a YouTube video from its link, or to search YouTube transcripts across channels: the exact quote and the second.\n- `podcast-transcript-search`: Use Arcmira to search podcast transcripts on YouTube for a topic, guest or phrase: which episodes covered it, what was said, and a timestamped link.\n- `brand-mention-monitoring`: Use Arcmira to monitor brand mentions on YouTube: how often a company or product comes up, which shows discuss it, whether it's rising, quotes and alerts.\n- `what-did-they-say`: Use Arcmira when asked what someone said about something: a person's or company's own words from YouTube, with the show, the date and a timestamped link.\n- `youtube-clip-finder`: Use Arcmira to find the clip: search YouTube transcripts for a moment, get a watch link at the second, start and end seconds, and an embed that starts there.\n\nAnything else (one video's transcript, a topic across shows, who recommends a product on air) follows the procedure below.\n\n## Procedure\n\n1. Call `arcmira_describe` once before your first program. It is current on every call; `arcmira_describe({ topic })` narrows it to one method.\n2. A topic or phrase goes in `query` as typed. Resolve a name with `arcmira.resolve` when it becomes a filter: who said it, which show, or what it is about. Filters take ids only, as the ID rule says.\n3. Before asserting a mention, read its description or passage and say which sense of the name it is (Mercury the bank, not the element).\n4. Write one `arcmira_execute_read` program per question. Resolve, check, and run every query the question needs inside that one program.\n5. Return only the fields the answer needs, not whole responses.\n6. Search as_of is the newest publication date among the returned passages, not the date the whole index was updated. For channel freshness, call arcmira.status({ channelId }) and report channel.search_indexed_through for transcript search. A result date or an empty query does not establish missing recent episodes. Build date windows from `arcmira.today()` and `arcmira.daysAgo(n)`. When the user names no window, use the last 90 days, and narrow it when a name returns more than the answer needs.\n7. Link each name in the answer to the `page` field the result carries. Do not build arcmira.com URLs by hand.\n8. Premium: `arcmira.transcript(video, { quality: \"premium\" })` returns the lines. When the video is not transcribed yet, that read in `arcmira_execute_write` starts a transcription. In `arcmira_execute_read` it throws `write_tool_required`, and nothing is charged. Still pending: `eta_seconds` says about how long; read again once it has passed.\n9. USAGE. Metered reads use credits from the account's plan, then the on-demand budget set in the dashboard. Arcmira enforces that budget, and no tool takes a spending amount. A search uses 4 credits per passage it returns past the first 5. A Premium read that starts a transcription reports charge { unit, amount, from: included | on_demand | mixed }; arcmira.price(video) returns that price beforehand and uses no credits. A read the plan or budget blocks throws ArcmiraError with code paid_plan_required, quota_exceeded, spend_limit_exceeded, member_limit, fair_use_cap or on_demand_paused, a message naming the limit, its figures in limit when reported, and unlock { tier, url } when a plan or setting change lifts it. An account admin changes member_limit, fair_use_cap and on_demand_paused.\n\n## References\n\n- Monitors: [references\u002Fmonitors.md](references\u002Fmonitors.md)\n- The ID rule: [references\u002Fid-rule.md](references\u002Fid-rule.md)\n- Docs: [references\u002Fdocs.md](references\u002Fdocs.md)\n",{"name":5,"description":7},"main","cebc3dce495d7eb80d3b1d5841f877a4a92e162d","plugins\u002Farcmira\u002Fmcp\u002Fskills\u002Farcmira",491,"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 14:06:13",{"source":8,"skillName":5,"commands":59,"prompt":69,"zipAvailable":70},[60,63,66],{"tool":61,"command":62},"npx","npx skills add hashgraph-online\u002Fawesome-codex-plugins --skill arcmira",{"tool":64,"command":65},"bunx","bunx skills add hashgraph-online\u002Fawesome-codex-plugins --skill arcmira",{"tool":67,"command":68},"pnpm","pnpm dlx skills add hashgraph-online\u002Fawesome-codex-plugins --skill arcmira","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Fhashgraph-online\u002Fawesome-codex-plugins\u002Fblob\u002Fmain\u002Fplugins\u002Farcmira\u002Fmcp\u002Fskills\u002Farcmira\u002FSKILL.md",true,[72,78,82,86],{"path":73,"resourceType":74,"resourceTypeDesc":75,"sizeBytes":76,"sourceHtmlUrl":77},"references\u002Fdocs.md","REFERENCE","参考文档",255,"https:\u002F\u002Fgithub.com\u002Fhashgraph-online\u002Fawesome-codex-plugins\u002Fblob\u002Fmain\u002Fplugins\u002Farcmira\u002Fmcp\u002Fskills\u002Farcmira\u002Freferences\u002Fdocs.md",{"path":79,"resourceType":74,"resourceTypeDesc":75,"sizeBytes":80,"sourceHtmlUrl":81},"references\u002Fid-rule.md",1922,"https:\u002F\u002Fgithub.com\u002Fhashgraph-online\u002Fawesome-codex-plugins\u002Fblob\u002Fmain\u002Fplugins\u002Farcmira\u002Fmcp\u002Fskills\u002Farcmira\u002Freferences\u002Fid-rule.md",{"path":83,"resourceType":74,"resourceTypeDesc":75,"sizeBytes":84,"sourceHtmlUrl":85},"references\u002Fmonitors.md",1415,"https:\u002F\u002Fgithub.com\u002Fhashgraph-online\u002Fawesome-codex-plugins\u002Fblob\u002Fmain\u002Fplugins\u002Farcmira\u002Fmcp\u002Fskills\u002Farcmira\u002Freferences\u002Fmonitors.md",{"path":87,"resourceType":74,"resourceTypeDesc":75,"sizeBytes":88,"sourceHtmlUrl":89},"references\u002Frule.md",1029,"https:\u002F\u002Fgithub.com\u002Fhashgraph-online\u002Fawesome-codex-plugins\u002Fblob\u002Fmain\u002Fplugins\u002Farcmira\u002Fmcp\u002Fskills\u002Farcmira\u002Freferences\u002Frule.md",[91,99,106,113,137,162],{"skillNo":92,"name":93,"nameZh":6,"description":94,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":95,"categories":96,"keywords":97,"publishedAt":98},"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":100,"name":101,"nameZh":6,"description":102,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":103,"categories":104,"keywords":105,"publishedAt":98},"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":107,"name":108,"nameZh":6,"description":109,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":110,"categories":111,"keywords":112,"publishedAt":98},"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":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":43},"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",[],[33,120,121,122,123,124,125,126,127,128,129,31,130,131,132,133,134,36,135,136],"deja search","never","error","ready","memory","re","decide","fix","design","debugging","you","done","reviewer","io","change","merge","past",{"skillNo":138,"name":139,"nameZh":6,"description":140,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":141,"categories":142,"keywords":143,"publishedAt":43},"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",[],[144,145,146,133,147,148,149,150,151,152,153,154,155,156,124,157,158,159,160,161],"deja reflect","reflect","review","with","record","github","next","https","node","Rules","decisions","brew","remember","project rules","project","session","end","reflection",{"skillNo":163,"name":164,"nameZh":6,"description":165,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":166,"categories":167,"keywords":175,"publishedAt":43},"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",[168,171,172],{"categoryNo":169,"categoryName":170,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000016","图像与多媒体",{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},{"categoryNo":173,"categoryName":174,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000010","后端与接口",[164,176,24,177,178,179,180,158,181,125,182,183,41,184,31,185,39,186,187,188],"URL","short-form","standalone","PDF","viral","tiktok","short","social","song","image","schedule","api","publish"]