[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M70FQJJ1ASQP34RWNNYFSZ99":3,"skill-same:01M70FQJJ1ASQP34RWNNYFSZ99":73},{"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":44,"linkOnly":45,"markdownContent":46,"markdownBody":47,"frontMatter":48,"refName":51,"commitSha":52,"skillDirectory":53,"forksCount":54,"repositoryHtmlUrl":55,"repositoryHomepageUrl":6,"ownerHtmlUrl":56,"ownerBlogUrl":6,"ownerDescription":57,"updatedAt":58,"install":59,"resources":72},"01M70FQJJ1ASQP34RWNNYFSZ99","connections-optimizer",null,"Reorganize the user's X and LinkedIn network with review-first pruning, add\u002Ffollow recommendations, and channel-specific warm outreach drafted in the user's real voice. Use when the user wants to clean up following lists, grow toward current priorities, or rebalance a social graph around higher-signal relationships.","mdnaimul22\u002Fhuman-skills","mdnaimul22","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F64520358?v=4","01M70FH95MH2H796Q01TYSFZ03","Naimul","01M70FH96798CQR4YHA13F17GA",3,"MIT","https:\u002F\u002Fgithub.com\u002Fmdnaimul22\u002Fhuman-skills\u002Fblob\u002Fmain\u002Fskills\u002Fstorage\u002Faffaan-m_ECC\u002Fconnections-optimizer\u002FSKILL.md",[18],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000023","Skill与智能体开发","SCENARIO","使用场景",[24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43],"connections optimizer","optimizer","connections","when","review","signal","with","add","grow","recommendations","priorities","social","clean","up","use","linkedin","voice","first","network","graph","2026-11-10 10:12:30",false,"---\nname: connections-optimizer\ndescription: Reorganize the user's X and LinkedIn network with review-first pruning, add\u002Ffollow recommendations, and channel-specific warm outreach drafted in the user's real voice. Use when the user wants to clean up following lists, grow toward current priorities, or rebalance a social graph around higher-signal relationships.\nmetadata:\n  origin: ECC\n---\n\n# Connections Optimizer\n\nReorganize the user's network instead of treating outbound as a one-way prospecting list.\n\nThis skill handles:\n\n- X following cleanup and expansion\n- LinkedIn follow and connection analysis\n- review-first prune queues\n- add and follow recommendations\n- warm-path identification\n- Apple Mail, X DM, and LinkedIn draft generation in the user's real voice\n\n## When to Activate\n\n- the user wants to prune their X following\n- the user wants to rebalance who they follow or stay connected to\n- the user says \"clean up my network\", \"who should I unfollow\", \"who should I follow\", \"who should I reconnect with\"\n- outreach quality depends on network structure, not just cold list generation\n\n## Required Inputs\n\nCollect or infer:\n\n- current priorities and active work\n- target roles, industries, geos, or ecosystems\n- platform selection: X, LinkedIn, or both\n- do-not-touch list\n- mode: `light-pass`, `default`, or `aggressive`\n\nIf the user does not specify a mode, use `default`.\n\n## Tool Requirements\n\n### Preferred\n\n- `x-api` for X graph inspection and recent activity\n- `lead-intelligence` for target discovery and warm-path ranking\n- `social-graph-ranker` when the user wants bridge value scored independently of the broader lead workflow\n- Exa \u002F deep research for person and company enrichment\n- `brand-voice` before drafting outbound\n\n### Fallbacks\n\n- browser control for LinkedIn analysis and drafting\n- browser control for X if API coverage is constrained\n- Apple Mail or Mail.app drafting via desktop automation when email is the right channel\n\n## Safety Defaults\n\n- default is review-first, never blind auto-pruning\n- X: prune only accounts the user follows, never followers\n- LinkedIn: treat 1st-degree connection removal as manual-review-first\n- do not auto-send DMs, invites, or emails\n- emit a ranked action plan and drafts before any apply step\n\n## Platform Rules\n\n### X\n\n- mutuals are stickier than one-way follows\n- non-follow-backs can be pruned more aggressively\n- heavily inactive or disappeared accounts should surface quickly\n- engagement, signal quality, and bridge value matter more than raw follower count\n\n### LinkedIn\n\n- API-first if the user actually has LinkedIn API access\n- browser workflow must work when API access is missing\n- distinguish outbound follows from accepted 1st-degree connections\n- outbound follows can be pruned more freely\n- accepted 1st-degree connections should default to review, not auto-remove\n\n## Modes\n\n### `light-pass`\n\n- prune only high-confidence low-value one-way follows\n- surface the rest for review\n- generate a small add\u002Ffollow list\n\n### `default`\n\n- balanced prune queue\n- balanced keep list\n- ranked add\u002Ffollow queue\n- draft warm intros or direct outreach where useful\n\n### `aggressive`\n\n- larger prune queue\n- lower tolerance for stale non-follow-backs\n- still review-gated before apply\n\n## Scoring Model\n\nUse these positive signals:\n\n- reciprocity\n- recent activity\n- alignment to current priorities\n- network bridge value\n- role relevance\n- real engagement history\n- recent presence and responsiveness\n\nUse these negative signals:\n\n- disappeared or abandoned account\n- stale one-way follow\n- off-priority topic cluster\n- low-value noise\n- repeated non-response\n- no follow-back when many better replacements exist\n\nMutuals and real warm-path bridges should be penalized less aggressively than one-way follows.\n\n## Workflow\n\n1. Capture priorities, do-not-touch constraints, and selected platforms.\n2. Pull the current following \u002F connection inventory.\n3. Score prune candidates with explicit reasons.\n4. Score keep candidates with explicit reasons.\n5. Use `lead-intelligence` plus research surfaces to rank expansion candidates.\n6. Match the right channel:\n   - X DM for warm, fast social touch points\n   - LinkedIn message for professional graph adjacency\n   - Apple Mail draft for higher-context intros or outreach\n7. Run `brand-voice` before drafting messages.\n8. Return a review pack before any apply step.\n\n## Review Pack Format\n\n```text\nCONNECTIONS OPTIMIZER REPORT\n============================\n\nMode:\nPlatforms:\nPriority Set:\n\nPrune Queue\n- handle \u002F profile\n  reason:\n  confidence:\n  action:\n\nReview Queue\n- handle \u002F profile\n  reason:\n  risk:\n\nKeep \u002F Protect\n- handle \u002F profile\n  bridge value:\n\nAdd \u002F Follow Targets\n- person\n  why now:\n  warm path:\n  preferred channel:\n\nDrafts\n- X DM:\n- LinkedIn:\n- Apple Mail:\n```\n\n## Outbound Rules\n\n- Default email path is Apple Mail \u002F Mail.app draft creation.\n- Do not send automatically.\n- Choose the channel based on warmth, relevance, and context depth.\n- Do not force a DM when an email or no outreach is the right move.\n- Drafts should sound like the user, not like automated sales copy.\n\n## Related Skills\n\n- `brand-voice` for the reusable voice profile\n- `social-graph-ranker` for the standalone bridge-scoring and warm-path math\n- `lead-intelligence` for weighted target and warm-path discovery\n- `x-api` for X graph access, drafting, and optional apply flows\n- `content-engine` when the user also wants public launch content around network moves\n","# Connections Optimizer\n\nReorganize the user's network instead of treating outbound as a one-way prospecting list.\n\nThis skill handles:\n\n- X following cleanup and expansion\n- LinkedIn follow and connection analysis\n- review-first prune queues\n- add and follow recommendations\n- warm-path identification\n- Apple Mail, X DM, and LinkedIn draft generation in the user's real voice\n\n## When to Activate\n\n- the user wants to prune their X following\n- the user wants to rebalance who they follow or stay connected to\n- the user says \"clean up my network\", \"who should I unfollow\", \"who should I follow\", \"who should I reconnect with\"\n- outreach quality depends on network structure, not just cold list generation\n\n## Required Inputs\n\nCollect or infer:\n\n- current priorities and active work\n- target roles, industries, geos, or ecosystems\n- platform selection: X, LinkedIn, or both\n- do-not-touch list\n- mode: `light-pass`, `default`, or `aggressive`\n\nIf the user does not specify a mode, use `default`.\n\n## Tool Requirements\n\n### Preferred\n\n- `x-api` for X graph inspection and recent activity\n- `lead-intelligence` for target discovery and warm-path ranking\n- `social-graph-ranker` when the user wants bridge value scored independently of the broader lead workflow\n- Exa \u002F deep research for person and company enrichment\n- `brand-voice` before drafting outbound\n\n### Fallbacks\n\n- browser control for LinkedIn analysis and drafting\n- browser control for X if API coverage is constrained\n- Apple Mail or Mail.app drafting via desktop automation when email is the right channel\n\n## Safety Defaults\n\n- default is review-first, never blind auto-pruning\n- X: prune only accounts the user follows, never followers\n- LinkedIn: treat 1st-degree connection removal as manual-review-first\n- do not auto-send DMs, invites, or emails\n- emit a ranked action plan and drafts before any apply step\n\n## Platform Rules\n\n### X\n\n- mutuals are stickier than one-way follows\n- non-follow-backs can be pruned more aggressively\n- heavily inactive or disappeared accounts should surface quickly\n- engagement, signal quality, and bridge value matter more than raw follower count\n\n### LinkedIn\n\n- API-first if the user actually has LinkedIn API access\n- browser workflow must work when API access is missing\n- distinguish outbound follows from accepted 1st-degree connections\n- outbound follows can be pruned more freely\n- accepted 1st-degree connections should default to review, not auto-remove\n\n## Modes\n\n### `light-pass`\n\n- prune only high-confidence low-value one-way follows\n- surface the rest for review\n- generate a small add\u002Ffollow list\n\n### `default`\n\n- balanced prune queue\n- balanced keep list\n- ranked add\u002Ffollow queue\n- draft warm intros or direct outreach where useful\n\n### `aggressive`\n\n- larger prune queue\n- lower tolerance for stale non-follow-backs\n- still review-gated before apply\n\n## Scoring Model\n\nUse these positive signals:\n\n- reciprocity\n- recent activity\n- alignment to current priorities\n- network bridge value\n- role relevance\n- real engagement history\n- recent presence and responsiveness\n\nUse these negative signals:\n\n- disappeared or abandoned account\n- stale one-way follow\n- off-priority topic cluster\n- low-value noise\n- repeated non-response\n- no follow-back when many better replacements exist\n\nMutuals and real warm-path bridges should be penalized less aggressively than one-way follows.\n\n## Workflow\n\n1. Capture priorities, do-not-touch constraints, and selected platforms.\n2. Pull the current following \u002F connection inventory.\n3. Score prune candidates with explicit reasons.\n4. Score keep candidates with explicit reasons.\n5. Use `lead-intelligence` plus research surfaces to rank expansion candidates.\n6. Match the right channel:\n   - X DM for warm, fast social touch points\n   - LinkedIn message for professional graph adjacency\n   - Apple Mail draft for higher-context intros or outreach\n7. Run `brand-voice` before drafting messages.\n8. Return a review pack before any apply step.\n\n## Review Pack Format\n\n```text\nCONNECTIONS OPTIMIZER REPORT\n============================\n\nMode:\nPlatforms:\nPriority Set:\n\nPrune Queue\n- handle \u002F profile\n  reason:\n  confidence:\n  action:\n\nReview Queue\n- handle \u002F profile\n  reason:\n  risk:\n\nKeep \u002F Protect\n- handle \u002F profile\n  bridge value:\n\nAdd \u002F Follow Targets\n- person\n  why now:\n  warm path:\n  preferred channel:\n\nDrafts\n- X DM:\n- LinkedIn:\n- Apple Mail:\n```\n\n## Outbound Rules\n\n- Default email path is Apple Mail \u002F Mail.app draft creation.\n- Do not send automatically.\n- Choose the channel based on warmth, relevance, and context depth.\n- Do not force a DM when an email or no outreach is the right move.\n- Drafts should sound like the user, not like automated sales copy.\n\n## Related Skills\n\n- `brand-voice` for the reusable voice profile\n- `social-graph-ranker` for the standalone bridge-scoring and warm-path math\n- `lead-intelligence` for weighted target and warm-path discovery\n- `x-api` for X graph access, drafting, and optional apply flows\n- `content-engine` when the user also wants public launch content around network moves\n",{"name":5,"metadata":49,"description":7},{"origin":50},"ECC","main","74715deacdc69119d739f38916f8ee4f0f979ebf","skills\u002Fstorage\u002Faffaan-m_ECC\u002Fconnections-optimizer",0,"https:\u002F\u002Fgithub.com\u002Fmdnaimul22\u002Fhuman-skills","https:\u002F\u002Fgithub.com\u002Fmdnaimul22","AI Agents Workflows Automation | Specializing in Python, FastAPI, MCP Agents & Custom ERP.","2026-11-11 21:16:57",{"source":8,"skillName":5,"commands":60,"prompt":70,"zipAvailable":71},[61,64,67],{"tool":62,"command":63},"npx","npx skills add mdnaimul22\u002Fhuman-skills --skill connections-optimizer",{"tool":65,"command":66},"bunx","bunx skills add mdnaimul22\u002Fhuman-skills --skill connections-optimizer",{"tool":68,"command":69},"pnpm","pnpm dlx skills add mdnaimul22\u002Fhuman-skills --skill connections-optimizer","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Fmdnaimul22\u002Fhuman-skills\u002Fblob\u002Fmain\u002Fskills\u002Fstorage\u002Faffaan-m_ECC\u002Fconnections-optimizer\u002FSKILL.md",true,[],[74,82,108,130,149,164],{"skillNo":75,"name":76,"nameZh":6,"description":77,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":78,"categories":79,"keywords":80,"publishedAt":81},"01M72JT3YP1SQHD0MANGDXQ4RT","higgsfield-websites","Build, edit, and deploy full-stack websites, apps and games via the Higgsfield CLI (`higgsfield website …`). Each is a React 19 + TanStack Start SSR app in one Cloudflare Worker (D1\u002FR2\u002FKV\u002FDO\u002FContainers). THREE product types, picked via `--type` on create: `website` (standalone, no Higgsfield integration — references\u002Fwebsite-flow.md), `app` (Sign in with Higgsfield + fnf SDK, Quanta — references\u002Fapp-flow.md), `game` (realtime multiplayer rooms — references\u002Fgame-flow.md). Routes to the right flow; each carries its own rules and deploy\u002Fpublish gates.\nUse when: \"build me a website\", \"make a landing page\", \"create a web app\", \"build a SaaS dashboard \u002F portfolio\", \"make me a game\", \"deploy this site\", \"publish\". Also owns GAME ART: \"make a spritesheet\", \"tileable texture\", \"animate a 3D character\", game music\u002FSFX — see the game-* references.\nNOT for: single image\u002Fvideo\u002Faudio generation (higgsfield-generate), product photos (higgsfield-product-photoshoot), marketplace cards (higgsfield-marketplace-cards).","https:\u002F\u002Fgithub.com\u002Fmdnaimul22\u002Fhuman-skills\u002Fblob\u002Fmain\u002Fskills\u002Fstorage\u002Fhiggsfield-ai_skills\u002Fhiggsfield-websites\u002FSKILL.md",[],[],"2026-11-10 22:39:42",{"skillNo":83,"name":84,"nameZh":6,"description":85,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":86,"categories":87,"keywords":100,"publishedAt":44},"01M70JPK8HAXXA85P7Q8NKZZYG","writing-skills","Use when creating new skills, editing existing skills, or verifying skills work before deployment","https:\u002F\u002Fgithub.com\u002Fmdnaimul22\u002Fhuman-skills\u002Fblob\u002Fmain\u002Fskills\u002Fstorage\u002Fobra_superpowers\u002Fwriting-skills\u002FSKILL.md",[88,91,96,97],{"categoryNo":89,"categoryName":90,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000018","写作与文案",{"categoryNo":92,"categoryName":93,"taxonomyType":94,"taxonomyTypeDesc":95},"01JBSEEDCAT000000000000036","内容创作者","PROFESSION","适用职业",{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},{"categoryNo":98,"categoryName":99,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000008","测试与质量",[101,102,103,104,38,105,106,27,107],"writing","writing skills","editing","deployment","Existing","new","work",{"skillNo":109,"name":110,"nameZh":6,"description":111,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":112,"categories":113,"keywords":119,"publishedAt":44},"01M70JP4PHBH1CQVVDWZ94W159","writing-plans","Use when you have a spec or requirements for a multi-step task, before touching code","https:\u002F\u002Fgithub.com\u002Fmdnaimul22\u002Fhuman-skills\u002Fblob\u002Fmain\u002Fskills\u002Fstorage\u002Fobra_superpowers\u002Fwriting-plans\u002FSKILL.md",[114,115,116],{"categoryNo":89,"categoryName":90,"taxonomyType":21,"taxonomyTypeDesc":22},{"categoryNo":92,"categoryName":93,"taxonomyType":94,"taxonomyTypeDesc":95},{"categoryNo":117,"categoryName":118,"taxonomyType":94,"taxonomyTypeDesc":95},"01JBSEEDCAT000000000000030","开发工程师",[101,120,121,122,27,123,124,38,125,126,127,128,129],"writing plans","plans","you","code","for","requirements","task","multi","spec","multi-step task",{"skillNo":131,"name":132,"nameZh":6,"description":133,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":134,"categories":135,"keywords":136,"publishedAt":44},"01M70JNTYVGXFZT8PASZ844TH8","verification-before-completion","Use when about to claim work is complete, fixed, or passing, before committing or creating PRs - requires running verification commands and confirming output before making any success claims; evidence before assertions always","https:\u002F\u002Fgithub.com\u002Fmdnaimul22\u002Fhuman-skills\u002Fblob\u002Fmain\u002Fskills\u002Fstorage\u002Fobra_superpowers\u002Fverification-before-completion\u002FSKILL.md",[],[137,138,139,140,141,142,38,143,144,145,27,146,107,147,148],"verification","verification before completion","complete","about","output","assertions","prs","evidence","claim","claims","commands","running",{"skillNo":150,"name":151,"nameZh":6,"description":152,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":153,"categories":154,"keywords":156,"publishedAt":44},"01M70JNGVSQDESWN0Q5BPJ875V","using-superpowers","Use when starting any conversation - establishes how to find and use skills, requiring skill invocation before ANY response including clarifying questions","https:\u002F\u002Fgithub.com\u002Fmdnaimul22\u002Fhuman-skills\u002Fblob\u002Fmain\u002Fskills\u002Fstorage\u002Fobra_superpowers\u002Fusing-superpowers\u002FSKILL.md",[155],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},[157,158,159,160,38,27,161,162,163],"using superpowers","superpowers","conversation","how to","how","find","questions",{"skillNo":165,"name":166,"nameZh":6,"description":167,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":168,"categories":169,"keywords":170,"publishedAt":44},"01M70JN57CE588NPYPYTWH1DWG","using-git-worktrees","Use when starting feature work that needs isolation from current workspace or before executing implementation plans - ensures an isolated workspace exists via native tools or git worktree fallback","https:\u002F\u002Fgithub.com\u002Fmdnaimul22\u002Fhuman-skills\u002Fblob\u002Fmain\u002Fskills\u002Fstorage\u002Fobra_superpowers\u002Fusing-git-worktrees\u002FSKILL.md",[],[171,172,173,174,175,176,27,107,177,178,179,180,181,182,183,121,38,184,185],"using git worktrees","Using git","git","worktrees","git worktrees","implementation","git worktree","worktree","native","Tools","isolation","fallback","feature","via","workspace"]