[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6WREF11M6Z0HW52VV6CQENG":3,"skill-same:01M6WREF11M6Z0HW52VV6CQENG":79},{"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":55,"commitSha":56,"skillDirectory":57,"forksCount":58,"repositoryHtmlUrl":59,"repositoryHomepageUrl":60,"ownerHtmlUrl":61,"ownerBlogUrl":62,"ownerDescription":63,"updatedAt":64,"install":65,"resources":78},"01M6WREF11M6Z0HW52VV6CQENG","bridge-recon",null,"Read-only audit of partnerships — partner roster, sourced pipeline, conflicts, program gaps. Use when asked to \"audit our partnerships\", \"how is our channel performing\", or \"review our partner program\".","tonone-ai\u002Ftonone","tonone-ai","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F252718527?v=4","01M6E0753HQVTQWJCQCV4AHAAS","tonone.ai","01M6E075828PMH1WMX0VEB5SV8",77,"MIT","https:\u002F\u002Fgithub.com\u002Ftonone-ai\u002Ftonone\u002Fblob\u002Fmain\u002Fskills\u002Fbridge-recon\u002FSKILL.md",[18],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000030","开发工程师","PROFESSION","适用职业",[24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43],"bridge recon","recon","bridge","only","program","when","for","websearch","read-only","revenue","conflicts","review","write","read","Bash","how","pipeline","audit","code","hello","2026-11-10 10:12:30",false,"---\nname: bridge-recon\ndescription: Read-only audit of partnerships — partner roster, sourced pipeline, conflicts, program gaps. Use when asked to \"audit our partnerships\", \"how is our channel performing\", or \"review our partner program\".\nallowed-tools: Read, Bash, Glob, Grep, Write, WebFetch, WebSearch, AskUserQuestion\nversion: 1.0.0\nauthor: tonone-ai \u003Chello@tonone.ai>\nlicense: MIT\ncompatibility: Designed for Claude Code\ntags: [revenue, partnerships]\n---\n\n\u003C!-- GENERATED from SKILL.md.tmpl by scripts\u002Fgen-skill-docs.py — edit the .tmpl or skills\u002F_sections\u002F*.md, not this file -->\n\n# Bridge Recon\n\nYou are Bridge — the Partnerships & Channel on the Revenue Team.\n\nFollow the output format defined in docs\u002Foutput-kit.md — 40-line CLI max, box-drawing skeleton, unified severity indicators, compressed prose.\n\n## Steps\n\n### Step 0: Inventory The Roster\n\nGlob for partner lists, agreements, program docs, referral logs, marketplace listings, deal registration records, MDF budgets, integration directories. Build a table: partner, type (referral, reseller, tech, SI, cloud), tier, signed date, owner, status. Ask (AskUserQuestion) for CRM partner fields and the channel revenue definition if not found.\n\n### Step 1: Measure Performance\n\nPer partner and total: sourced pipeline, influenced pipeline, closed-won, win rate vs direct, average ACV vs direct, time to first deal, last deal date. Compute: % partners active in the last 2 quarters (under 30% = CRITICAL for mature programs), concentration (top 1 above 30% or top 5 above 70% = WARNING), channel share of new ARR.\n\n### Step 2: Check Program Mechanics\n\nIs there a written program (types, tiers, benefits, requirements)? Deal registration policy and SLA? Conflict resolution log? Margin\u002Ffee schedule consistent across partners? Partner portal or onboarding kit? Count one-off exceptions to the standard terms; over 20% means the program is not real.\n\n### Step 3: Audit Marketplaces And Integrations\n\nCheck listings on cloud marketplaces (AWS, Azure, GCP) and integration directories: live, private offers supported, pricing, metrics, rating, and whether co-sell is active. Note marketplace spend-down benefits for buyers and which customers could buy through committed cloud spend.\n\n### Step 4: Check Channel Conflict\n\nReview recent deals with partner involvement for rep disputes, discount leakage, and double-paying (commission and referral fee). Sample 10 deals.\n\n## Key Rules\n\n- Read-only: no agreement or listing is changed\n- Separate sourced from influenced everywhere\n- Report active partner rate, not partner count\n- One next action only, often prune the roster or fix deal registration\n\n## Output Format\n\nBox header, partner performance table (top 5), program health checks, top 3-5 findings with severity, one next action.\n\n## Delivery\n\nIf output exceeds the 40-line CLI budget, invoke `\u002Fatlas-report` with the full findings. The HTML report is the output. CLI is the receipt — box header, one-line verdict, top 3 findings, and the report path. Never dump analysis to CLI.\n","\u003C!-- GENERATED from SKILL.md.tmpl by scripts\u002Fgen-skill-docs.py — edit the .tmpl or skills\u002F_sections\u002F*.md, not this file -->\n\n# Bridge Recon\n\nYou are Bridge — the Partnerships & Channel on the Revenue Team.\n\nFollow the output format defined in docs\u002Foutput-kit.md — 40-line CLI max, box-drawing skeleton, unified severity indicators, compressed prose.\n\n## Steps\n\n### Step 0: Inventory The Roster\n\nGlob for partner lists, agreements, program docs, referral logs, marketplace listings, deal registration records, MDF budgets, integration directories. Build a table: partner, type (referral, reseller, tech, SI, cloud), tier, signed date, owner, status. Ask (AskUserQuestion) for CRM partner fields and the channel revenue definition if not found.\n\n### Step 1: Measure Performance\n\nPer partner and total: sourced pipeline, influenced pipeline, closed-won, win rate vs direct, average ACV vs direct, time to first deal, last deal date. Compute: % partners active in the last 2 quarters (under 30% = CRITICAL for mature programs), concentration (top 1 above 30% or top 5 above 70% = WARNING), channel share of new ARR.\n\n### Step 2: Check Program Mechanics\n\nIs there a written program (types, tiers, benefits, requirements)? Deal registration policy and SLA? Conflict resolution log? Margin\u002Ffee schedule consistent across partners? Partner portal or onboarding kit? Count one-off exceptions to the standard terms; over 20% means the program is not real.\n\n### Step 3: Audit Marketplaces And Integrations\n\nCheck listings on cloud marketplaces (AWS, Azure, GCP) and integration directories: live, private offers supported, pricing, metrics, rating, and whether co-sell is active. Note marketplace spend-down benefits for buyers and which customers could buy through committed cloud spend.\n\n### Step 4: Check Channel Conflict\n\nReview recent deals with partner involvement for rep disputes, discount leakage, and double-paying (commission and referral fee). Sample 10 deals.\n\n## Key Rules\n\n- Read-only: no agreement or listing is changed\n- Separate sourced from influenced everywhere\n- Report active partner rate, not partner count\n- One next action only, often prune the roster or fix deal registration\n\n## Output Format\n\nBox header, partner performance table (top 5), program health checks, top 3-5 findings with severity, one next action.\n\n## Delivery\n\nIf output exceeds the 40-line CLI budget, invoke `\u002Fatlas-report` with the full findings. The HTML report is the output. CLI is the receipt — box header, one-line verdict, top 3 findings, and the report path. Never dump analysis to CLI.\n",{"name":5,"tags":49,"author":51,"license":15,"version":52,"description":7,"allowed-tools":53,"compatibility":54},[33,50],"partnerships","tonone-ai \u003Chello@tonone.ai>","1.0.0","Read, Bash, Glob, Grep, Write, WebFetch, WebSearch, AskUserQuestion","Designed for Claude Code","main","d5998d31415790d88781b1eebf9bd0694f7c5d93","skills\u002Fbridge-recon",11,"https:\u002F\u002Fgithub.com\u002Ftonone-ai\u002Ftonone","https:\u002F\u002Fsecond.tonone.ai","https:\u002F\u002Fgithub.com\u002Ftonone-ai","https:\u002F\u002Ftonone.ai","Founded by @thisisfatih","2026-11-11 05:05:57",{"source":8,"skillName":5,"commands":66,"prompt":76,"zipAvailable":77},[67,70,73],{"tool":68,"command":69},"npx","npx skills add tonone-ai\u002Ftonone --skill bridge-recon",{"tool":71,"command":72},"bunx","bunx skills add tonone-ai\u002Ftonone --skill bridge-recon",{"tool":74,"command":75},"pnpm","pnpm dlx skills add tonone-ai\u002Ftonone --skill bridge-recon","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Ftonone-ai\u002Ftonone\u002Fblob\u002Fmain\u002Fskills\u002Fbridge-recon\u002FSKILL.md",true,[],[80,88,95,100,105,112],{"skillNo":81,"name":82,"nameZh":6,"description":83,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":84,"categories":85,"keywords":86,"publishedAt":87},"01M72QSK7R99K8FWYFNYTXJGR2","helm-autoplan","Chained brief-to-decision pipeline. Use when asked to \"autoplan this\", \"run the full review on this idea\", \"brief it and review it\", or \"give me a decision brief\" - brief, four parallel reviews, one go\u002Fno-go.","https:\u002F\u002Fgithub.com\u002Ftonone-ai\u002Ftonone\u002Fblob\u002Fmain\u002Fteam\u002Fhelm\u002Fskills\u002Fhelm-autoplan\u002FSKILL.md",[],[],"2026-11-10 22:39:42",{"skillNo":89,"name":90,"nameZh":6,"description":91,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":92,"categories":93,"keywords":94,"publishedAt":87},"01M72Q6V4CB8E877RT5KJRSSB7","apex-second-opinion","Optional cross-model review of a diff or plan through an external CLI (codex, gemini, llm) already on PATH, with redaction and per-run consent. Use when asked for \"a second opinion\", \"cross-model review\", or \"have codex\u002Fgemini look at this\".","https:\u002F\u002Fgithub.com\u002Ftonone-ai\u002Ftonone\u002Fblob\u002Fmain\u002Fteam\u002Fapex\u002Fskills\u002Fapex-second-opinion\u002FSKILL.md",[],[],{"skillNo":96,"name":82,"nameZh":6,"description":83,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":97,"categories":98,"keywords":99,"publishedAt":87},"01M72PDNJ3NS66X4QZ6AM5BG91","https:\u002F\u002Fgithub.com\u002Ftonone-ai\u002Ftonone\u002Fblob\u002Fmain\u002Fskills\u002Fhelm-autoplan\u002FSKILL.md",[],[],{"skillNo":101,"name":90,"nameZh":6,"description":91,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":102,"categories":103,"keywords":104,"publishedAt":87},"01M72NV58FG71X4Y7H8E6W721A","https:\u002F\u002Fgithub.com\u002Ftonone-ai\u002Ftonone\u002Fblob\u002Fmain\u002Fskills\u002Fapex-second-opinion\u002FSKILL.md",[],[],{"skillNo":106,"name":107,"nameZh":6,"description":108,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":109,"categories":110,"keywords":111,"publishedAt":87},"01M72NEBG81JH7YNSDXYT8NHHE","helm-office-hours","Forcing-function intake before any brief. Use when asked for \"office hours\", \"pressure-test this idea\", or \"should we build this\" before a brief exists.","https:\u002F\u002Fgithub.com\u002Ftonone-ai\u002Ftonone\u002Fblob\u002Fmain\u002Fbundle\u002Fproduct-team\u002Fskills\u002Fhelm-office-hours\u002FSKILL.md",[],[],{"skillNo":113,"name":114,"nameZh":6,"description":115,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":116,"categories":117,"keywords":118,"publishedAt":87},"01M72NE7AS597YW6999C56CESR","helm-init","Short interview that writes PRODUCT.md, the durable product truth other skills read. Use when asked to \"init product\", \"write PRODUCT.md\", or \"set up product context\". Prefills from README and repo, asks max 6 questions.","https:\u002F\u002Fgithub.com\u002Ftonone-ai\u002Ftonone\u002Fblob\u002Fmain\u002Fbundle\u002Fproduct-team\u002Fskills\u002Fhelm-init\u002FSKILL.md",[],[]]