[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6MBY3PTW2WB224HNMT7RBV8":3,"skill-same:01M6MBY3PTW2WB224HNMT7RBV8":126},{"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":31,"publishedAt":54,"linkOnly":55,"markdownContent":56,"markdownBody":57,"frontMatter":58,"refName":64,"commitSha":65,"skillDirectory":66,"forksCount":67,"repositoryHtmlUrl":68,"repositoryHomepageUrl":69,"ownerHtmlUrl":70,"ownerBlogUrl":71,"ownerDescription":72,"updatedAt":73,"install":74,"resources":87},"01M6MBY3PTW2WB224HNMT7RBV8","commitment-ladder-design",null,"Use when designing or auditing onboarding, activation flows, habit loops, pledges, public commitments, progressive profiling, retention programs, behavior-change plans, pricing flows, or lowball-risk funnels where consistency pressure may shape user decisions.","hashgraph-online\u002Fawesome-codex-plugins","hashgraph-online","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F160371962?v=4","01M6CNB6NRJVNNGN14TR01Q6D3","HOL (Hashgraph Online)","01M6JT1HSKKG9V68KQAQGBA7XP",1554,"MIT","https:\u002F\u002Fgithub.com\u002Fhashgraph-online\u002Fawesome-codex-plugins\u002Fblob\u002Fmain\u002Fplugins\u002FLVTD-LLC\u002Fskills\u002Fskills\u002Fcommitment-ladder-design\u002FSKILL.md",[18,23,28],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000015","视觉设计","SCENARIO","使用场景",{"categoryNo":24,"categoryName":25,"taxonomyType":26,"taxonomyTypeDesc":27},"01JBSEEDCAT000000000000032","设计师","PROFESSION","适用职业",{"categoryNo":29,"categoryName":30,"taxonomyType":26,"taxonomyTypeDesc":27},"01JBSEEDCAT000000000000038","人力资源",[32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53],"commitment ladder design","ladder","design","shape","when","commitments","consistency","flows","loops","retention","plans","activation","use","behavior","decisions","public","profiling","habit","marketing","risk","change","pricing","2026-11-10 10:12:30",false,"---\nname: commitment-ladder-design\ndescription: Use when designing or auditing onboarding, activation flows, habit loops, pledges, public commitments, progressive profiling, retention programs, behavior-change plans, pricing flows, or lowball-risk funnels where consistency pressure may shape user decisions.\nlicense: MIT\nmetadata:\n  version: \"0.1.0\"\n  displayName: Commitment Ladder Design\n  category: Marketing\n  tags: influence,persuasion,commitment,onboarding\n---\n\n# Commitment Ladder Design\n\nDesign commitments that help users act on real intent, not commitments that trap them into defending a decision. The consistency drive is useful when it supports identity-aligned action and risky when it hides changing terms.\n\n## Quick Start\n\n1. Read `guidelines.md` to choose the smallest useful reference set.\n2. Load `references\u002Fcommitment\u002Fknowledge.md` for concepts and `references\u002Fcommitment\u002Frules.md` for operating rules.\n3. Use `workflows\u002Fbuild-commitment-ladder.md` for repeatable tasks.\n4. For audits, surface both the active influence cue and the ethical rewrite.\n\n## Contents\n\n| File | Purpose |\n| --- | --- |\n| references\u002Fcommitment\u002Fknowledge.md | Core concepts and source-grounded definitions |\n| references\u002Fcommitment\u002Frules.md | Rules, boundaries, and practical guidelines |\n| references\u002Fcommitment\u002Fexamples.md | Bad\u002Fbetter examples for applied situations |\n| references\u002Fcommitment\u002Fsmells.md | Red flags and anti-patterns to detect |\n| references\u002Fcommitment\u002Fchecklist.md | Fast review checklist |\n| workflows\u002Fbuild-commitment-ladder.md | Create a sequence of small, authentic commitments that lead toward a meaningful user goal. |\n\n## Operating Principles\n\n- Use only honest evidence. Do not invent popularity, scarcity, credentials, endorsements, or social connection.\n- Separate helping a good decision from pushing a shortcut response. If the cue is counterfeit, treat it as a red flag.\n- When rewriting, preserve user agency: add context, alternatives, and enough time to decide when stakes are meaningful.\n\n## Output Pattern\n\n1. **Diagnosis** - name the influence principle or cue.\n2. **Evidence Check** - state what proof supports or is missing from the cue.\n3. **Risk** - explain manipulation, trust, or decision-quality risk.\n4. **Rewrite or Recommendation** - provide an ethical alternative.\n\n## Validation\n\nUse the prompts in `evals\u002Fevals.json` as smoke tests. A good result identifies the relevant Influence principle, preserves user agency, and avoids fabricated evidence or coercive pressure.\n","# Commitment Ladder Design\n\nDesign commitments that help users act on real intent, not commitments that trap them into defending a decision. The consistency drive is useful when it supports identity-aligned action and risky when it hides changing terms.\n\n## Quick Start\n\n1. Read `guidelines.md` to choose the smallest useful reference set.\n2. Load `references\u002Fcommitment\u002Fknowledge.md` for concepts and `references\u002Fcommitment\u002Frules.md` for operating rules.\n3. Use `workflows\u002Fbuild-commitment-ladder.md` for repeatable tasks.\n4. For audits, surface both the active influence cue and the ethical rewrite.\n\n## Contents\n\n| File | Purpose |\n| --- | --- |\n| references\u002Fcommitment\u002Fknowledge.md | Core concepts and source-grounded definitions |\n| references\u002Fcommitment\u002Frules.md | Rules, boundaries, and practical guidelines |\n| references\u002Fcommitment\u002Fexamples.md | Bad\u002Fbetter examples for applied situations |\n| references\u002Fcommitment\u002Fsmells.md | Red flags and anti-patterns to detect |\n| references\u002Fcommitment\u002Fchecklist.md | Fast review checklist |\n| workflows\u002Fbuild-commitment-ladder.md | Create a sequence of small, authentic commitments that lead toward a meaningful user goal. |\n\n## Operating Principles\n\n- Use only honest evidence. Do not invent popularity, scarcity, credentials, endorsements, or social connection.\n- Separate helping a good decision from pushing a shortcut response. If the cue is counterfeit, treat it as a red flag.\n- When rewriting, preserve user agency: add context, alternatives, and enough time to decide when stakes are meaningful.\n\n## Output Pattern\n\n1. **Diagnosis** - name the influence principle or cue.\n2. **Evidence Check** - state what proof supports or is missing from the cue.\n3. **Risk** - explain manipulation, trust, or decision-quality risk.\n4. **Rewrite or Recommendation** - provide an ethical alternative.\n\n## Validation\n\nUse the prompts in `evals\u002Fevals.json` as smoke tests. A good result identifies the relevant Influence principle, preserves user agency, and avoids fabricated evidence or coercive pressure.\n",{"name":5,"license":15,"metadata":59,"description":7},{"tags":60,"version":61,"category":62,"displayName":63},"influence,persuasion,commitment,onboarding","0.1.0","Marketing","Commitment Ladder Design","main","2b63f856ce19c2a797929cacabd9e0fc936812fa","plugins\u002FLVTD-LLC\u002Fskills\u002Fskills\u002Fcommitment-ladder-design",468,"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 02:22:54",{"source":8,"skillName":5,"commands":75,"prompt":85,"zipAvailable":86},[76,79,82],{"tool":77,"command":78},"npx","npx skills add 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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",[],[159,160,161,162,140,163,164,165,166,167,168,46,169,148,170,171,172,173,174,175],"reflect","deja reflect","brew","remember","project rules","project","session","end","reflection","Rules","review","with","record","github","next","https","node",{"skillNo":177,"name":178,"nameZh":6,"description":179,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":131,"licenseFileUrl":6,"sourceHtmlUrl":180,"categories":181,"keywords":191,"publishedAt":54},"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",[182,185,188],{"categoryNo":183,"categoryName":184,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000010","后端与接口",{"categoryNo":186,"categoryName":187,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000016","图像与多媒体",{"categoryNo":189,"categoryName":190,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000023","Skill与智能体开发",[178,192,193,194,195,196,164,197,141,198,199,200,201,36,202,203,204,205,206,207],"Video","short-form","standalone","PDF","viral","tiktok","short","social","MCP","song","URL","image","mcp server","schedule","api","publish",{"skillNo":209,"name":210,"nameZh":6,"description":211,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":131,"licenseFileUrl":6,"sourceHtmlUrl":212,"categories":213,"keywords":214,"publishedAt":54},"01M71569ZM2X3H5RBFK8PVKMK2","review-study","Review a QuestionPunk survey before launch for wording, answer choices, branching, and missing settings. 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Use for find my survey, publish this study, or how many people responded.","https:\u002F\u002Fgithub.com\u002Fhashgraph-online\u002Fawesome-codex-plugins\u002Fblob\u002Fmain\u002Fplugins\u002Fquestionpunk\u002Fcodex-plugin\u002Fskills\u002Fmanage-study\u002FSKILL.md",[],[235,215,236,217,220,44,237,222,223,207,238,239,240,241,226],"manage study","manage","people","how","find","link","status",{"skillNo":243,"name":244,"nameZh":6,"description":245,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":131,"licenseFileUrl":6,"sourceHtmlUrl":246,"categories":247,"keywords":248,"publishedAt":54},"01M71565A8TCA01AZQZRGRYMFZ","create-study","Create a saved QuestionPunk survey draft from a research brief or edit specified questions. Use for requests such as make a customer feedback survey or shorten my onboarding study.","https:\u002F\u002Fgithub.com\u002Fhashgraph-online\u002Fawesome-codex-plugins\u002Fblob\u002Fmain\u002Fplugins\u002Fquestionpunk\u002Fcodex-plugin\u002Fskills\u002Fcreate-study\u002FSKILL.md",[],[249,215,250,251,252,253,217,254,220,255,44,256,257,223,258,259,260,261,262,226],"create study","create","brief","as","feedback","customer feedback","research brief","shorten","saved","research","requests","customer","questions","edit"]