[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6MCSR2T68P9RAW4RPBAH5HQ":3,"skill-same:01M6MCSR2T68P9RAW4RPBAH5HQ":85},{"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":26,"publishedAt":50,"linkOnly":51,"markdownContent":52,"markdownBody":53,"frontMatter":54,"refName":61,"commitSha":62,"skillDirectory":63,"forksCount":64,"repositoryHtmlUrl":65,"repositoryHomepageUrl":66,"ownerHtmlUrl":67,"ownerBlogUrl":68,"ownerDescription":69,"updatedAt":70,"install":71,"resources":84},"01M6MCSR2T68P9RAW4RPBAH5HQ","traction-channel-research",null,"Research and shortlist startup traction channels before running Bullseye tests. Use when comparing acquisition channels, studying how similar companies grew, finding underused distribution strategies, or preparing the outer ring for a Traction-style growth process.","hashgraph-online\u002Fawesome-codex-plugins","hashgraph-online","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F160371962?v=4","01M6CNB6NRJVNNGN14TR01Q6D3","HOL (Hashgraph Online)","01M6JT1HSKKG9V68KQAQGBA7XP",1559,"MIT","https:\u002F\u002Fgithub.com\u002Fhashgraph-online\u002Fawesome-codex-plugins\u002Fblob\u002Fmain\u002Fplugins\u002FLVTD-LLC\u002Fskills\u002Fskills\u002Ftraction-channel-research\u002FSKILL.md",[18,23],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000021","资料检索与研究","SCENARIO","使用场景",{"categoryNo":24,"categoryName":25,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000023","Skill与智能体开发",[27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49],"research","traction channel research","channel","running","codex","when","outer","for","channels","clients","style","distribution","tests","strategies","startups","use","process","growth","acquisition","marketing","how","startup","code","2026-11-10 10:12:30",false,"---\nname: traction-channel-research\ndescription: Research and shortlist startup traction channels before running Bullseye tests. Use when comparing acquisition channels, studying how similar companies grew, finding underused distribution strategies, or preparing the outer ring for a Traction-style growth process.\nlicense: MIT\ncompatibility: Codex, Claude Code, and other Agent Skills-compatible clients.\nmetadata:\n  version: \"0.1.0\"\n  displayName: Traction Channel Research\n  category: Marketing\n  tags: traction,growth,research,marketing,startups\n---\n\n# Traction Channel Research\n\nUse this skill before `traction-bullseye` when the agent needs evidence about\nwhich channels might work. The job is to replace founder guesses with grounded\nchannel ideas.\n\n## Source Traceability\n\nPrimary source: Traction, chapters 1, 3, and 5. Authoring notes: converted\nlines 238-393, 555-674, and 787-902. The canonical channel list also appears\nin `..\u002Ftraction-bullseye\u002Freferences\u002Fsource-map.md`.\n\n## Research Workflow\n\n1. Define the product, target customer, business model, ACV or price point, and\n   current growth stage.\n2. List all 19 channels, even if some look unlikely:\n   targeting blogs, publicity, unconventional PR, search engine marketing,\n   social and display ads, offline ads, search engine optimization, content\n   marketing, email marketing, viral marketing, engineering as marketing,\n   business development, sales, affiliate programs, existing platforms, trade\n   shows, offline events, speaking engagements, and community building.\n3. For each channel, research comparable companies, adjacent markets, failed\n   examples, and underused tactics.\n4. Separate channel from strategy. \"SEO\" is a channel; \"comparison pages for\n   high-intent alternatives\" is a strategy.\n5. Estimate reach, cost, speed, confidence, and customer fit.\n6. Shortlist the top three to five strategies for Bullseye middle-ring tests.\n\n## Evidence To Look For\n\n- Founder interviews, teardown posts, podcasts, and launch retrospectives.\n- Competitor traffic sources, ad libraries, backlink patterns, and content\n  footprints.\n- Marketplaces, communities, events, newsletters, podcasts, and niche platforms\n  where the customer already gathers.\n- Signs of saturation: crowded ad auctions, copied content, high affiliate\n  competition, or low response rates.\n- Signs of underuse: unfashionable offline channels, narrow communities,\n  ignored partners, or new platforms.\n\n## Output Format\n\n```markdown\n# Traction Channel Research\n\n## Context\n- Product:\n- Customer:\n- Stage:\n- Traction goal:\n\n## Channel Scan\n| Channel | Strategy Idea | Evidence | Reach | Cost | Speed | Fit | Confidence |\n|---------|---------------|----------|-------|------|-------|-----|------------|\n\n## Shortlist\n1. [Channel + strategy] - [why test this]\n2. [Channel + strategy] - [why test this]\n3. [Channel + strategy] - [why test this]\n4. [Optional channel + strategy] - [why test this]\n5. [Optional channel + strategy] - [why test this]\n\n## Bias Check\n- Channels the team may be overvaluing:\n- Channels the team may be ignoring:\n\n## Recommended Next Tests\n[Hand off to traction-test-planner.]\n```\n\n## Quality Bar\n\n- Prefer specific strategies over broad channel labels.\n- Include at least one uncomfortable or underused channel.\n- Distinguish evidence from guesses.\n- Flag channels that cannot plausibly move the user's current traction goal.\n","# Traction Channel Research\n\nUse this skill before `traction-bullseye` when the agent needs evidence about\nwhich channels might work. The job is to replace founder guesses with grounded\nchannel ideas.\n\n## Source Traceability\n\nPrimary source: Traction, chapters 1, 3, and 5. Authoring notes: converted\nlines 238-393, 555-674, and 787-902. The canonical channel list also appears\nin `..\u002Ftraction-bullseye\u002Freferences\u002Fsource-map.md`.\n\n## Research Workflow\n\n1. Define the product, target customer, business model, ACV or price point, and\n   current growth stage.\n2. List all 19 channels, even if some look unlikely:\n   targeting blogs, publicity, unconventional PR, search engine marketing,\n   social and display ads, offline ads, search engine optimization, content\n   marketing, email marketing, viral marketing, engineering as marketing,\n   business development, sales, affiliate programs, existing platforms, trade\n   shows, offline events, speaking engagements, and community building.\n3. For each channel, research comparable companies, adjacent markets, failed\n   examples, and underused tactics.\n4. Separate channel from strategy. \"SEO\" is a channel; \"comparison pages for\n   high-intent alternatives\" is a strategy.\n5. Estimate reach, cost, speed, confidence, and customer fit.\n6. Shortlist the top three to five strategies for Bullseye middle-ring tests.\n\n## Evidence To Look For\n\n- Founder interviews, teardown posts, podcasts, and launch retrospectives.\n- Competitor traffic sources, ad libraries, backlink patterns, and content\n  footprints.\n- Marketplaces, communities, events, newsletters, podcasts, and niche platforms\n  where the customer already gathers.\n- Signs of saturation: crowded ad auctions, copied content, high affiliate\n  competition, or low response rates.\n- Signs of underuse: unfashionable offline channels, narrow communities,\n  ignored partners, or new platforms.\n\n## Output Format\n\n```markdown\n# Traction Channel Research\n\n## Context\n- Product:\n- Customer:\n- Stage:\n- Traction goal:\n\n## Channel Scan\n| Channel | Strategy Idea | Evidence | Reach | Cost | Speed | Fit | Confidence |\n|---------|---------------|----------|-------|------|-------|-----|------------|\n\n## Shortlist\n1. [Channel + strategy] - [why test this]\n2. [Channel + strategy] - [why test this]\n3. [Channel + strategy] - [why test this]\n4. [Optional channel + strategy] - [why test this]\n5. [Optional channel + strategy] - [why test this]\n\n## Bias Check\n- Channels the team may be overvaluing:\n- Channels the team may be ignoring:\n\n## Recommended Next Tests\n[Hand off to traction-test-planner.]\n```\n\n## Quality Bar\n\n- Prefer specific strategies over broad channel labels.\n- Include at least one uncomfortable or underused channel.\n- Distinguish evidence from guesses.\n- Flag channels that cannot plausibly move the user's current traction goal.\n",{"name":5,"license":15,"metadata":55,"description":7,"compatibility":60},{"tags":56,"version":57,"category":58,"displayName":59},"traction,growth,research,marketing,startups","0.1.0","Marketing","Traction Channel Research","Codex, Claude Code, and other Agent Skills-compatible clients.","main","2b63f856ce19c2a797929cacabd9e0fc936812fa","plugins\u002FLVTD-LLC\u002Fskills\u002Fskills\u002Ftraction-channel-research",474,"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.","2026-11-11 14:40:14",{"source":8,"skillName":5,"commands":72,"prompt":82,"zipAvailable":83},[73,76,79],{"tool":74,"command":75},"npx","npx skills add hashgraph-online\u002Fawesome-codex-plugins --skill traction-channel-research",{"tool":77,"command":78},"bunx","bunx skills add hashgraph-online\u002Fawesome-codex-plugins --skill traction-channel-research",{"tool":80,"command":81},"pnpm","pnpm dlx skills add hashgraph-online\u002Fawesome-codex-plugins --skill traction-channel-research","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Fhashgraph-online\u002Fawesome-codex-plugins\u002Fblob\u002Fmain\u002Fplugins\u002FLVTD-LLC\u002Fskills\u002Fskills\u002Ftraction-channel-research\u002FSKILL.md",true,[],[86,95,102,109,135,160],{"skillNo":87,"name":88,"nameZh":6,"description":89,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":90,"licenseFileUrl":6,"sourceHtmlUrl":91,"categories":92,"keywords":93,"publishedAt":94},"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.","Apache-2.0","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":96,"name":97,"nameZh":6,"description":98,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":90,"licenseFileUrl":6,"sourceHtmlUrl":99,"categories":100,"keywords":101,"publishedAt":94},"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":103,"name":104,"nameZh":6,"description":105,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":90,"licenseFileUrl":6,"sourceHtmlUrl":106,"categories":107,"keywords":108,"publishedAt":94},"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":110,"name":111,"nameZh":6,"description":112,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":90,"licenseFileUrl":6,"sourceHtmlUrl":113,"categories":114,"keywords":115,"publishedAt":50},"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",[],[116,117,118,119,120,121,122,123,124,125,126,32,127,128,129,130,131,132,133,134],"search","deja search","never","error","ready","memory","re","decide","fix","design","debugging","you","done","reviewer","io","change","cli","merge","past",{"skillNo":136,"name":137,"nameZh":6,"description":138,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":90,"licenseFileUrl":6,"sourceHtmlUrl":139,"categories":140,"keywords":141,"publishedAt":50},"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",[],[142,143,144,130,145,146,147,148,149,150,151,152,153,154,121,155,156,157,158,159],"deja reflect","reflect","review","with","record","github","next","https","node","Rules","decisions","brew","remember","project rules","project","session","end","reflection",{"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":90,"licenseFileUrl":6,"sourceHtmlUrl":164,"categories":165,"keywords":173,"publishedAt":50},"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",[166,169,170],{"categoryNo":167,"categoryName":168,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000016","图像与多媒体",{"categoryNo":24,"categoryName":25,"taxonomyType":21,"taxonomyTypeDesc":22},{"categoryNo":171,"categoryName":172,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000010","后端与接口",[162,174,175,176,177,178,179,156,180,122,181,182,183,184,32,185,186,187,188,189],"URL","Video","short-form","standalone","PDF","viral","tiktok","short","social","MCP","song","image","mcp server","schedule","api","publish"]