[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6FZP04EBQQ1KYQCG8MMFBM6":3,"skill-same:01M6FZP04EBQQ1KYQCG8MMFBM6":60},{"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":29,"linkOnly":30,"markdownContent":31,"markdownBody":32,"frontMatter":33,"refName":36,"commitSha":37,"skillDirectory":38,"forksCount":39,"repositoryHtmlUrl":40,"repositoryHomepageUrl":41,"ownerHtmlUrl":42,"ownerBlogUrl":43,"ownerDescription":44,"updatedAt":45,"install":46,"resources":59},"01M6FZP04EBQQ1KYQCG8MMFBM6","vard-traction",null,"Check post-launch traction for a shipped VARD app and recommend iterate, graduate, or archive","GeorgeQLe\u002Fagentic-skills","GeorgeQLe","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F21134126?v=4","01M6D2JP418S0VGJGF8M93EC3H","George Le","01M6D2JPBAKYD82TA5FS6HKQ3D",1,"MIT","https:\u002F\u002Fgithub.com\u002FGeorgeQLe\u002Fagentic-skills\u002Fblob\u002Fmaster\u002Fpacks\u002Fvard\u002Fcodex\u002Fvard-traction\u002Farchive\u002Fv0.0\u002FSKILL.md",[],[19,20,21,22,23,24,25,26,27,28],"vard traction","launch","archive","check","v0","ops","only","artifact","app","post","2026-11-10 10:12:30",false,"---\nname: vard-traction\ndescription: Check post-launch traction for a shipped VARD app and recommend iterate, graduate, or archive\ntype: ops\nversion: v0.0\ncontext_intake: artifact_only\n---\n\n# VARD Traction\n\nInvoke as `\u002Fvard-traction`.\n\nPost-launch traction check for shipped VARD experiments. Reads the ship log and current signals, compares them against the VARD graduation thresholds, and recommends exactly one of: iterate, graduate to Business AFPS, or archive. This is the semi-automatic graduation gate — the skill recommends, you confirm before anything happens.\n\n## Process\n\n1. **Resolve target:** Use `$ARGUMENTS` to name the shipped concept. If omitted, use the most recent `launched` entry in `research\u002Fvard-ship-log.md`.\n2. **Confirm timing:** Traction is meaningful after 1-2 weeks live. If the ship date is more recent, note the signal is early and mark the recommendation provisional.\n3. **Gather signals:** Collect the available distribution and engagement signals for the app:\n   - Users \u002F unique visitors\n   - Shares and social engagement (is the viral mechanic working?)\n   - Core-action completion (the one thing the app does)\n   - Revenue or revenue-intent signals\n   - Inbound interest (enterprise inquiries, feature requests, press)\n   Use the analytics wired at ship time. Where a signal is unavailable, mark it `unknown` rather than guessing.\n4. **Compare to graduation thresholds:** Evaluate against the VARD graduation triggers:\n   - Enterprise inquiry or clear revenue potential → strong graduate signal (Business AFPS)\n   - User base large enough to justify deep customer discovery → graduate signal\n   - Sustained engagement or sharing growth → iterate-and-grow signal\n   - Flat or no traction after 1-2 weeks → archive signal\n5. **Recommend (semi-auto gate):** Produce exactly one recommendation with its rationale and the signals that drove it:\n   - **Graduate** → enter Business AFPS at `\u002Fidea-scope-brief`, linking the VARD scan, align, and ship-log entries as evidence.\n   - **Iterate** → keep it in VARD; run another build and distribution cycle.\n   - **Archive** → record the outcome and move on to the next experiment.\n   State explicitly that the user confirms before any graduation, archive, or further action happens.\n6. **Log the check:** Append a traction entry under the concept in `research\u002Fvard-ship-log.md`:\n   - Date of check, weeks since launch\n   - Each signal and its value (or `unknown`)\n   - Threshold comparison result\n   - Recommendation and rationale\n   - Status: `iterating`, `graduating`, or `archived`\n\n## Output\n\nEnd with:\n\n```md\n**Traction:** \u003Cconcept name> — \u003Cone-line signal summary>\n**Recommendation:** iterate | graduate to Business AFPS | archive\n**Next work:** \u003Cthe confirming action for the recommendation>\n**Recommended next command:** \u002Fidea-scope-brief (graduate) | \u002Fvard-scan (next experiment) | none (archived)\n```\n\n## Constraints\n\n- Do not run paid API calls or external account actions to gather signals.\n- Do not graduate, archive, or delete anything automatically — recommend and let the user confirm.\n- Mark unavailable signals as `unknown`; do not fabricate metrics.\n- If no ship-log entry exists for the target, report that and stop.\n- Create `research\u002Fvard-ship-log.md` with a header only if it is missing and a shipped app clearly exists.\n\n## Default Shipping Contract\n\nFollow the shared shipping contract convention.\n","# VARD Traction\n\nInvoke as `\u002Fvard-traction`.\n\nPost-launch traction check for shipped VARD experiments. Reads the ship log and current signals, compares them against the VARD graduation thresholds, and recommends exactly one of: iterate, graduate to Business AFPS, or archive. This is the semi-automatic graduation gate — the skill recommends, you confirm before anything happens.\n\n## Process\n\n1. **Resolve target:** Use `$ARGUMENTS` to name the shipped concept. If omitted, use the most recent `launched` entry in `research\u002Fvard-ship-log.md`.\n2. **Confirm timing:** Traction is meaningful after 1-2 weeks live. If the ship date is more recent, note the signal is early and mark the recommendation provisional.\n3. **Gather signals:** Collect the available distribution and engagement signals for the app:\n   - Users \u002F unique visitors\n   - Shares and social engagement (is the viral mechanic working?)\n   - Core-action completion (the one thing the app does)\n   - Revenue or revenue-intent signals\n   - Inbound interest (enterprise inquiries, feature requests, press)\n   Use the analytics wired at ship time. Where a signal is unavailable, mark it `unknown` rather than guessing.\n4. **Compare to graduation thresholds:** Evaluate against the VARD graduation triggers:\n   - Enterprise inquiry or clear revenue potential → strong graduate signal (Business AFPS)\n   - User base large enough to justify deep customer discovery → graduate signal\n   - Sustained engagement or sharing growth → iterate-and-grow signal\n   - Flat or no traction after 1-2 weeks → archive signal\n5. **Recommend (semi-auto gate):** Produce exactly one recommendation with its rationale and the signals that drove it:\n   - **Graduate** → enter Business AFPS at `\u002Fidea-scope-brief`, linking the VARD scan, align, and ship-log entries as evidence.\n   - **Iterate** → keep it in VARD; run another build and distribution cycle.\n   - **Archive** → record the outcome and move on to the next experiment.\n   State explicitly that the user confirms before any graduation, archive, or further action happens.\n6. **Log the check:** Append a traction entry under the concept in `research\u002Fvard-ship-log.md`:\n   - Date of check, weeks since launch\n   - Each signal and its value (or `unknown`)\n   - Threshold comparison result\n   - Recommendation and rationale\n   - Status: `iterating`, `graduating`, or `archived`\n\n## Output\n\nEnd with:\n\n```md\n**Traction:** \u003Cconcept name> — \u003Cone-line signal summary>\n**Recommendation:** iterate | graduate to Business AFPS | archive\n**Next work:** \u003Cthe confirming action for the recommendation>\n**Recommended next command:** \u002Fidea-scope-brief (graduate) | \u002Fvard-scan (next experiment) | none (archived)\n```\n\n## Constraints\n\n- Do not run paid API calls or external account actions to gather signals.\n- Do not graduate, archive, or delete anything automatically — recommend and let the user confirm.\n- Mark unavailable signals as `unknown`; do not fabricate metrics.\n- If no ship-log entry exists for the target, report that and stop.\n- Create `research\u002Fvard-ship-log.md` with a header only if it is missing and a shipped app clearly exists.\n\n## Default Shipping Contract\n\nFollow the shared shipping contract convention.\n",{"name":5,"type":24,"version":34,"description":7,"context_intake":35},"v0.0","artifact_only","master","96e2912af886dd1606b1b97df707715aef062b02","packs\u002Fvard\u002Fcodex\u002Fvard-traction\u002Farchive\u002Fv0.0",0,"https:\u002F\u002Fgithub.com\u002FGeorgeQLe\u002Fagentic-skills","https:\u002F\u002Fagentic-skills-blush.vercel.app","https:\u002F\u002Fgithub.com\u002FGeorgeQLe","georgeqle.com","George Le is a futurist and serial tech entrepreneur who wants to work toward a world where humanity is free from robotic tasks.","2026-11-10 04:07:24",{"source":8,"skillName":5,"commands":47,"prompt":57,"zipAvailable":58},[48,51,54],{"tool":49,"command":50},"npx","npx skills add GeorgeQLe\u002Fagentic-skills --skill vard-traction",{"tool":52,"command":53},"bunx","bunx skills add GeorgeQLe\u002Fagentic-skills 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