[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6CQXX5D6WRFF4NP2BCBVVED":3,"skill-same:01M6CQXX5D6WRFF4NP2BCBVVED":101},{"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":40,"publishedAt":70,"linkOnly":71,"markdownContent":72,"markdownBody":73,"frontMatter":74,"refName":77,"commitSha":78,"skillDirectory":79,"forksCount":80,"repositoryHtmlUrl":81,"repositoryHomepageUrl":82,"ownerHtmlUrl":83,"ownerBlogUrl":84,"ownerDescription":85,"updatedAt":86,"install":87,"resources":100},"01M6CQXX5D6WRFF4NP2BCBVVED","ads-amazon",null,"Amazon Ads deep analysis covering Sponsored Products, Sponsored Brands (incl. Sponsored Brands Video), Sponsored Display (audiences + contextual), and basic Amazon DSP. Evaluates campaign structure, ACOS\u002FTACOS targets, search-term harvesting, negative keyword discipline, Brand Analytics signals, day-parting, bid management, auto vs manual campaign mix, ASIN targeting, and DSP retargeting. Use when user says Amazon Ads, Amazon advertising, Amazon PPC, Amazon search ads, Sponsored Products, Sponsored Brands, Sponsored Display, Amazon DSP, ACOS, TACOS, retail media audit, Amazon Marketing Services, AMS, or Amazon seller advertising.","shenxingy\u002FClade","shenxingy","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F89829751?v=4","01M6CQXHTV3WQZJMG0JXD93MEK","Xingyu (Alex) Shen","01M6CQXHYCTGPJ5HD8Z7MD4Q5P",10,"MIT","https:\u002F\u002Fgithub.com\u002Fshenxingy\u002FClade\u002Fblob\u002Fmain\u002Fconfigs\u002Fskills\u002Fads-amazon\u002FSKILL.md",[18,23,26,29,34,37],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000013","分析与可视化","SCENARIO","使用场景",{"categoryNo":24,"categoryName":25,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000015","视觉设计",{"categoryNo":27,"categoryName":28,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000019","营销推广",{"categoryNo":30,"categoryName":31,"taxonomyType":32,"taxonomyTypeDesc":33},"01JBSEEDCAT000000000000030","开发工程师","PROFESSION","适用职业",{"categoryNo":35,"categoryName":36,"taxonomyType":32,"taxonomyTypeDesc":33},"01JBSEEDCAT000000000000033","数据分析师",{"categoryNo":38,"categoryName":39,"taxonomyType":32,"taxonomyTypeDesc":33},"01JBSEEDCAT000000000000035","市场营销",[41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69],"amazon","ads","ads amazon","discipline","when","display","mix","retargeting","targeting","false","deep","signals","claude-code","structure","campaign","auto","analytics","use","management","brand","marketing","Media","Video","analysis","services","audit","search","code","deep analysis","2026-11-10 10:12:30",false,"---\nname: ads-amazon\ndescription: \"Amazon Ads deep analysis covering Sponsored Products, Sponsored Brands (incl. Sponsored Brands Video), Sponsored Display (audiences + contextual), and basic Amazon DSP. Evaluates campaign structure, ACOS\u002FTACOS targets, search-term harvesting, negative keyword discipline, Brand Analytics signals, day-parting, bid management, auto vs manual campaign mix, ASIN targeting, and DSP retargeting. Use when user says Amazon Ads, Amazon advertising, Amazon PPC, Amazon search ads, Sponsored Products, Sponsored Brands, Sponsored Display, Amazon DSP, ACOS, TACOS, retail media audit, Amazon Marketing Services, AMS, or Amazon seller advertising.\"\nuser_invocable: false\ntested_date: 2026-05-17\ntested_with: claude-code v2.x\n---\n\n# Amazon Ads Deep Analysis\n\nAmazon owns ~80% of US retail media (~$56B in 2025). This sub-skill audits\nthe three Sponsored ad types plus basic DSP visibility for sellers and\nvendors. Detailed Amazon DSP audit (programmatic \u002F Twitch \u002F Fire TV \u002F Freevee\n\u002F Prime Video) is queued for Wave 3 in `ads-retail-media`.\n\n> **Note:** This is a leaf sub-skill. The thresholds and rules below live\n> inline. In Wave 3, once `ads-walmart` ships and the `ads-retail-media`\n> orchestrator extracts the shared retail-media logic, a dedicated\n> `retail-media-specs.md` reference file will replace these inline rules\n> (planned, not yet created — do not link to it from other files).\n\n## Process\n\n1. Collect Amazon Advertising export: Search Term Report (last 60 days),\n   Campaign Performance Report, Targeting Report, Placement Report, Bulk\n   Operations file\n2. Collect Brand Analytics if available (Brand-Registered sellers \u002F vendors):\n   Search Terms, Repeat Purchase Behavior, Item Comparison\n3. Verify Seller \u002F Vendor Central context (vendor strategy differs from\n   seller strategy on portfolio, coupons, and Sponsored Brands video)\n4. Read `ads\u002Freferences\u002Fbenchmarks.md` for Amazon-specific benchmarks\n5. Read `ads\u002Freferences\u002Fscoring-system.md` for weighted scoring\n6. Evaluate checks per category\n7. Calculate Amazon Ads Health Score (0-100)\n8. Generate findings report with action plan\n\n## What to Analyze\n\n### Campaign Structure & Portfolios (15% weight)\n\n- **Portfolio organization** — campaigns grouped by funnel stage (Awareness \u002F\n  Consideration \u002F Conversion) or by product line, not ad-hoc\n- **Campaign naming convention** consistent (e.g.,\n  `SP_Brand_Exact_USD_Conv` \u002F `SB_NonBrand_HSA_Video_USD_Cons`)\n- **Auto vs Manual mix**: Sponsored Products has ≥1 Auto campaign per ASIN\n  cluster for search-term harvesting (auto-mining workflow)\n- **ASIN-level coverage**: every priority ASIN appears in ≥1 SP campaign\n  (Exact, Phrase, or Broad) AND ≥1 Auto campaign\n- **Targeting type mix in SP**: Manual Keyword + Manual Product (ASIN\n  targeting) + Auto (for harvesting). Pure Auto is a learning-only state\n- **Sponsored Brands**: at least one HSA (Headline Search Ad) campaign per\n  brand storefront; SB Video tested for high-AOV products\n- **Sponsored Display**: separate Audience (retargeting + lookalike) and\n  Contextual (product \u002F category targeting) campaigns — don't mix in one\n\n### Search-Term Harvesting & Negatives (25% weight)\n\n- **Auto → Manual harvest cadence** weekly or bi-weekly: pull converting\n  search terms from Auto, promote winners to Manual Exact in their target\n  campaign, add as negatives to the Auto so spend redirects\n- **Negative keyword coverage**: every Auto campaign has Manual campaign\n  ASINs as negatives (prevents Auto cannibalizing Manual placements)\n- **Negative product targeting**: irrelevant ASINs added at campaign level\n  (prevents Sponsored Display contextual targeting from showing your ad\n  next to incompatible products)\n- **Search Term Report harvested last 7 days** — any high-spend, zero-\n  conversion terms above $10 \u002F 30 days should be negatives\n- **Brand defense**: branded search terms are isolated in a separate\n  campaign with exact-match brand keywords and competitor-name negatives\n- **Top-of-search visibility** — branded search auction CPC vs default; flag\n  if competitor bid is above your brand-defense bid\n\n### ACOS \u002F TACOS Discipline (20% weight)\n\n- **ACOS targets set per portfolio** based on contribution margin (target\n  ACOS = (1 - contribution_margin) × buffer). Sloppy \"30% across the board\"\n  ACOS targets cap performance\n- **TACOS (Total ACOS) trending down** quarter-over-quarter — TACOS measures\n  total ad spend \u002F total revenue including organic; downward trend means\n  paid is lifting organic, not replacing it\n- **ROAS reported alongside ACOS** for the team that thinks in ROAS\n- **Coupon + Lightning Deal stacking** — when on, ACOS targets relaxed to\n  capture lift; auto-flag campaigns that need temporary ACOS uplift\n- **Day-parting**: bid adjustments by hour for ASINs where add-to-cart\n  hours differ from purchase hours (frequent for high-AOV electronics)\n\n### Bid & Budget Management (15% weight)\n\n- **Dynamic bidding strategy**: `Up and Down` for Manual Exact converting\n  campaigns; `Down Only` for Auto campaigns or Sponsored Display contextual\n  (avoid bid escalation in learning campaigns)\n- **Placement bid multipliers**: Top-of-search placement adjusted based on\n  ROAS by placement (Placement Report); often +50-100% for top-of-search,\n  -30% for product page placements\n- **Budget caps appropriate** — no campaigns capped at \u003C2x current daily\n  spend (caps strangle algorithm learning)\n- **Bulk bid adjustments** — bid optimization runs weekly via Bulk\n  Operations not ad-hoc in the UI\n\n### Sponsored Brands (10% weight)\n\n- **HSA (Headline Search Ad)**: brand logo + 3-product showcase + landing\n  page (Store, custom URL, or product list)\n- **SB Video**: 6-45s; 15-30s sweet spot. Hook within 2s. Captions on.\n  Required for high-AOV products\n- **Brand Store linked** as landing destination where available (higher\n  CVR than product detail page)\n- **Negative keywords on SB** include competitor brand names if you don't\n  want top-of-funnel competitor traffic; remove if you do\n\n### Sponsored Display (10% weight)\n\n- **Audience targeting**: Views Remarketing, Purchase Remarketing, Cross-\n  Sell, and Lookalike audiences each scaled with appropriate bids\n- **Contextual targeting**: relevant categories AND specific ASIN targeting\n  (your own complementary products + competitor ASINs you can win)\n- **Display creative quality**: at minimum, the default product creative;\n  custom creative tested for top SKUs\n- **Off-Amazon Sponsored Display** (Twitch, IMDb, third-party sites) audited\n  separately — different CPC dynamics, different attribution windows\n\n### Brand Analytics & Reporting (5% weight)\n\n- **Brand Analytics** accessed (Brand-Registered only): Top Search Terms,\n  Item Comparison, Repeat Purchase Behavior\n- **Top Search Terms report** used to identify share-of-voice gaps vs\n  competitors on category keywords\n- **Repeat Purchase Behavior** informs subscription \u002F replenishment ad\n  strategy\n- **Amazon Attribution** (off-Amazon traffic) tracked if running external\n  ads driving to Amazon listings\n\n## Key Thresholds\n\n| Metric | Pass | Warning | Fail |\n|--------|------|---------|------|\n| ACOS (vs target) | Within ±10% of target | 10-25% over | >25% over |\n| TACOS trend (90d) | Decreasing | Flat | Increasing |\n| Auto \u002F Manual mix | Both active per ASIN | Only Manual or only Auto | Single campaign \u002F ASIN |\n| Negative keywords on Auto | Manual ASIN keywords added | Some missing | None |\n| Search term harvest cadence | Weekly | Monthly | Ad-hoc |\n| Branded campaign ACOS | \u003C5% | 5-15% | >15% |\n| Dynamic bidding strategy | Up-and-Down on converters, Down-Only on learners | Mixed inconsistently | All campaigns same strategy |\n| Sponsored Brands video tested | Active on top 10 ASINs | Active on 1-3 ASINs | Not tested |\n| Brand Analytics accessed | Weekly | Monthly | Never |\n\n## Output\n\n### Amazon Ads Health Score\n\n```\nAmazon Ads Health Score: XX\u002F100 (Grade: X)\n\nCampaign Structure:     XX\u002F100  ████████░░  (15%)\nSearch-Term Harvesting: XX\u002F100  ██████████  (25%)\nACOS \u002F TACOS Discipline:XX\u002F100  █████████░  (20%)\nBid & Budget Mgmt:      XX\u002F100  ████████░░  (15%)\nSponsored Brands:       XX\u002F100  ███████░░░  (10%)\nSponsored Display:      XX\u002F100  ███████░░░  (10%)\nBrand Analytics:        XX\u002F100  █████░░░░░  (5%)\n```\n\n### Deliverables\n\n- `AMAZON-ADS-REPORT.md`: Full per-category findings\n- Search-term harvest plan: keywords to promote to Manual + keywords to\n  add as negatives, ranked by spend recovery $\n- ACOS-by-ASIN matrix highlighting unprofitable SKUs\n- Sponsored Brands video opportunity list (top 10 ASINs without SB Video)\n- Pre-launch checklist when entering a new product category\n- Amazon DSP entry recommendation (yes \u002F no based on total monthly spend\n  and audience size)\n","# Amazon Ads Deep Analysis\n\nAmazon owns ~80% of US retail media (~$56B in 2025). This sub-skill audits\nthe three Sponsored ad types plus basic DSP visibility for sellers and\nvendors. Detailed Amazon DSP audit (programmatic \u002F Twitch \u002F Fire TV \u002F Freevee\n\u002F Prime Video) is queued for Wave 3 in `ads-retail-media`.\n\n> **Note:** This is a leaf sub-skill. The thresholds and rules below live\n> inline. In Wave 3, once `ads-walmart` ships and the `ads-retail-media`\n> orchestrator extracts the shared retail-media logic, a dedicated\n> `retail-media-specs.md` reference file will replace these inline rules\n> (planned, not yet created — do not link to it from other files).\n\n## Process\n\n1. Collect Amazon Advertising export: Search Term Report (last 60 days),\n   Campaign Performance Report, Targeting Report, Placement Report, Bulk\n   Operations file\n2. Collect Brand Analytics if available (Brand-Registered sellers \u002F vendors):\n   Search Terms, Repeat Purchase Behavior, Item Comparison\n3. Verify Seller \u002F Vendor Central context (vendor strategy differs from\n   seller strategy on portfolio, coupons, and Sponsored Brands video)\n4. Read `ads\u002Freferences\u002Fbenchmarks.md` for Amazon-specific benchmarks\n5. Read `ads\u002Freferences\u002Fscoring-system.md` for weighted scoring\n6. Evaluate checks per category\n7. Calculate Amazon Ads Health Score (0-100)\n8. Generate findings report with action plan\n\n## What to Analyze\n\n### Campaign Structure & Portfolios (15% weight)\n\n- **Portfolio organization** — campaigns grouped by funnel stage (Awareness \u002F\n  Consideration \u002F Conversion) or by product line, not ad-hoc\n- **Campaign naming convention** consistent (e.g.,\n  `SP_Brand_Exact_USD_Conv` \u002F `SB_NonBrand_HSA_Video_USD_Cons`)\n- **Auto vs Manual mix**: Sponsored Products has ≥1 Auto campaign per ASIN\n  cluster for search-term harvesting (auto-mining workflow)\n- **ASIN-level coverage**: every priority ASIN appears in ≥1 SP campaign\n  (Exact, Phrase, or Broad) AND ≥1 Auto campaign\n- **Targeting type mix in SP**: Manual Keyword + Manual Product (ASIN\n  targeting) + Auto (for harvesting). Pure Auto is a learning-only state\n- **Sponsored Brands**: at least one HSA (Headline Search Ad) campaign per\n  brand storefront; SB Video tested for high-AOV products\n- **Sponsored Display**: separate Audience (retargeting + lookalike) and\n  Contextual (product \u002F category targeting) campaigns — don't mix in one\n\n### Search-Term Harvesting & Negatives (25% weight)\n\n- **Auto → Manual harvest cadence** weekly or bi-weekly: pull converting\n  search terms from Auto, promote winners to Manual Exact in their target\n  campaign, add as negatives to the Auto so spend redirects\n- **Negative keyword coverage**: every Auto campaign has Manual campaign\n  ASINs as negatives (prevents Auto cannibalizing Manual placements)\n- **Negative product targeting**: irrelevant ASINs added at campaign level\n  (prevents Sponsored Display contextual targeting from showing your ad\n  next to incompatible products)\n- **Search Term Report harvested last 7 days** — any high-spend, zero-\n  conversion terms above $10 \u002F 30 days should be negatives\n- **Brand defense**: branded search terms are isolated in a separate\n  campaign with exact-match brand keywords and competitor-name negatives\n- **Top-of-search visibility** — branded search auction CPC vs default; flag\n  if competitor bid is above your brand-defense bid\n\n### ACOS \u002F TACOS Discipline (20% weight)\n\n- **ACOS targets set per portfolio** based on contribution margin (target\n  ACOS = (1 - contribution_margin) × buffer). Sloppy \"30% across the board\"\n  ACOS targets cap performance\n- **TACOS (Total ACOS) trending down** quarter-over-quarter — TACOS measures\n  total ad spend \u002F total revenue including organic; downward trend means\n  paid is lifting organic, not replacing it\n- **ROAS reported alongside ACOS** for the team that thinks in ROAS\n- **Coupon + Lightning Deal stacking** — when on, ACOS targets relaxed to\n  capture lift; auto-flag campaigns that need temporary ACOS uplift\n- **Day-parting**: bid adjustments by hour for ASINs where add-to-cart\n  hours differ from purchase hours (frequent for high-AOV electronics)\n\n### Bid & Budget Management (15% weight)\n\n- **Dynamic bidding strategy**: `Up and Down` for Manual Exact converting\n  campaigns; `Down Only` for Auto campaigns or Sponsored Display contextual\n  (avoid bid escalation in learning campaigns)\n- **Placement bid multipliers**: Top-of-search placement adjusted based on\n  ROAS by placement (Placement Report); often +50-100% for top-of-search,\n  -30% for product page placements\n- **Budget caps appropriate** — no campaigns capped at \u003C2x current daily\n  spend (caps strangle algorithm learning)\n- **Bulk bid adjustments** — bid optimization runs weekly via Bulk\n  Operations not ad-hoc in the UI\n\n### Sponsored Brands (10% weight)\n\n- **HSA (Headline Search Ad)**: brand logo + 3-product showcase + landing\n  page (Store, custom URL, or product list)\n- **SB Video**: 6-45s; 15-30s sweet spot. Hook within 2s. Captions on.\n  Required for high-AOV products\n- **Brand Store linked** as landing destination where available (higher\n  CVR than product detail page)\n- **Negative keywords on SB** include competitor brand names if you don't\n  want top-of-funnel competitor traffic; remove if you do\n\n### Sponsored Display (10% weight)\n\n- **Audience targeting**: Views Remarketing, Purchase Remarketing, Cross-\n  Sell, and Lookalike audiences each scaled with appropriate bids\n- **Contextual targeting**: relevant categories AND specific ASIN targeting\n  (your own complementary products + competitor ASINs you can win)\n- **Display creative quality**: at minimum, the default product creative;\n  custom creative tested for top SKUs\n- **Off-Amazon Sponsored Display** (Twitch, IMDb, third-party sites) audited\n  separately — different CPC dynamics, different attribution windows\n\n### Brand Analytics & Reporting (5% weight)\n\n- **Brand Analytics** accessed (Brand-Registered only): Top Search Terms,\n  Item Comparison, Repeat Purchase Behavior\n- **Top Search Terms report** used to identify share-of-voice gaps vs\n  competitors on category keywords\n- **Repeat Purchase Behavior** informs subscription \u002F replenishment ad\n  strategy\n- **Amazon Attribution** (off-Amazon traffic) tracked if running external\n  ads driving to Amazon listings\n\n## Key Thresholds\n\n| Metric | Pass | Warning | Fail |\n|--------|------|---------|------|\n| ACOS (vs target) | Within ±10% of target | 10-25% over | >25% over |\n| TACOS trend (90d) | Decreasing | Flat | Increasing |\n| Auto \u002F Manual mix | Both active per ASIN | Only Manual or only Auto | Single campaign \u002F ASIN |\n| Negative keywords on Auto | Manual ASIN keywords added | Some missing | None |\n| Search term harvest cadence | Weekly | Monthly | Ad-hoc |\n| Branded campaign ACOS | \u003C5% | 5-15% | >15% |\n| Dynamic bidding strategy | Up-and-Down on converters, Down-Only on learners | Mixed inconsistently | All campaigns same strategy |\n| Sponsored Brands video tested | Active on top 10 ASINs | Active on 1-3 ASINs | Not tested |\n| Brand Analytics accessed | Weekly | Monthly | Never |\n\n## Output\n\n### Amazon Ads Health Score\n\n```\nAmazon Ads Health Score: XX\u002F100 (Grade: X)\n\nCampaign Structure:     XX\u002F100  ████████░░  (15%)\nSearch-Term Harvesting: XX\u002F100  ██████████  (25%)\nACOS \u002F TACOS Discipline:XX\u002F100  █████████░  (20%)\nBid & Budget Mgmt:      XX\u002F100  ████████░░  (15%)\nSponsored Brands:       XX\u002F100  ███████░░░  (10%)\nSponsored Display:      XX\u002F100  ███████░░░  (10%)\nBrand Analytics:        XX\u002F100  █████░░░░░  (5%)\n```\n\n### Deliverables\n\n- `AMAZON-ADS-REPORT.md`: Full per-category findings\n- Search-term harvest plan: keywords to promote to Manual + keywords to\n  add as negatives, ranked by spend recovery $\n- ACOS-by-ASIN matrix highlighting unprofitable SKUs\n- Sponsored Brands video opportunity list (top 10 ASINs without SB Video)\n- Pre-launch checklist when entering a new product category\n- Amazon DSP entry recommendation (yes \u002F no based on total monthly spend\n  and audience size)\n",{"name":5,"description":7,"tested_date":75,"tested_with":76,"user_invocable":71},1778976000000,"claude-code v2.x","main","60a901a00f46e71601f58727cb5661f8d3fb6d24","configs\u002Fskills\u002Fads-amazon",6,"https:\u002F\u002Fgithub.com\u002Fshenxingy\u002FClade","https:\u002F\u002Falexshen.dev\u002Fen\u002Fblog\u002Fclade","https:\u002F\u002Fgithub.com\u002Fshenxingy","https:\u002F\u002Falexshen.dev\u002F","Founding Engineer @ Scam AI | ECE @ Duke University | Data Science @ Duke Kunshan University","2026-11-13 19:38:31",{"source":8,"skillName":5,"commands":88,"prompt":98,"zipAvailable":99},[89,92,95],{"tool":90,"command":91},"npx","npx skills add shenxingy\u002FClade --skill ads-amazon",{"tool":93,"command":94},"bunx","bunx skills add shenxingy\u002FClade --skill ads-amazon",{"tool":96,"command":97},"pnpm","pnpm dlx skills add shenxingy\u002FClade --skill ads-amazon","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Fshenxingy\u002FClade\u002Fblob\u002Fmain\u002Fconfigs\u002Fskills\u002Fads-amazon\u002FSKILL.md",true,[],[102,123,151,172,197,214],{"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":15,"licenseFileUrl":6,"sourceHtmlUrl":106,"categories":107,"keywords":111,"publishedAt":70},"01M6FNPBA3494GF2W7V4MMAKG3","worktree","Create or inspect runtime-adaptive isolated Git workspaces with explicit ownership and delivery 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Applies to web search, fetching, and bulk collection; excludes repository\u002Ffile search.","https:\u002F\u002Fgithub.com\u002Fshenxingy\u002FClade\u002Fblob\u002Fmain\u002Fplugins\u002Fclade\u002Fskills\u002Fweb-search\u002FSKILL.md",[129,130],{"categoryNo":109,"categoryName":110,"taxonomyType":21,"taxonomyTypeDesc":22},{"categoryNo":30,"categoryName":31,"taxonomyType":32,"taxonomyTypeDesc":33},[132,67,133,134,135,136,137,138,139,140,141,142,143,144,145,146,147,148,149,150],"web search","web","repository","file","research","MCP","requests","collection","reading","URL","native","bulk","progress","file search","route","tinyfish","evidence","check","api",{"skillNo":152,"name":153,"nameZh":6,"description":154,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":155,"categories":156,"keywords":158,"publishedAt":70},"01M6FNP2616DRTZRSZJQM3HPHY","verify","Verify project behavior anchors — compilation, tests, and interaction checks after autonomous runs. NOT the Codex built-in \u002Fverify (which runs the app to observe a single change working) — this one walks the AGENTS.md \"Features (Behavior Anchors)\" list.","https:\u002F\u002Fgithub.com\u002Fshenxingy\u002FClade\u002Fblob\u002Fmain\u002Fplugins\u002Fclade\u002Fskills\u002Fverify\u002FSKILL.md",[157],{"categoryNo":109,"categoryName":110,"taxonomyType":21,"taxonomyTypeDesc":22},[153,159,160,161,162,163,164,165,166,167,168,169,170,171],"app","single","features","which","interaction","tests","project","observe","autonomous","behavior","list","change","codex",{"skillNo":173,"name":174,"nameZh":6,"description":175,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":176,"categories":177,"keywords":179,"publishedAt":70},"01M6FNNX95R9H29BNERFY15704","tasks","Coordinate dependency-aware project tasks across independent Codex, Codex, Kimi and human sessions using Beads. 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Use for “what's going on right now”, what is running, progress updates, active runtime\u002Fprovider\u002Fmodel, or stuck-work checks.","https:\u002F\u002Fgithub.com\u002Fshenxingy\u002FClade\u002Fblob\u002Fmain\u002Fplugins\u002Fclade\u002Fskills\u002Fstatus\u002FSKILL.md",[220],{"categoryNo":109,"categoryName":110,"taxonomyType":21,"taxonomyTypeDesc":22},[216,117,222,223,180,211,224,225,144,226,118,227,228,58,229,182,230,231,120,232],"running","limits","usage","now","active","show","provider","snapshot","model","execution","identity"]