[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M71NAW6P6BDWQTNPW1X5JSRA":3,"skill-same:01M71NAW6P6BDWQTNPW1X5JSRA":102},{"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":37,"linkOnly":38,"markdownContent":39,"markdownBody":40,"frontMatter":41,"refName":42,"commitSha":43,"skillDirectory":44,"forksCount":45,"repositoryHtmlUrl":46,"repositoryHomepageUrl":6,"ownerHtmlUrl":47,"ownerBlogUrl":6,"ownerDescription":48,"updatedAt":49,"install":50,"resources":63},"01M71NAW6P6BDWQTNPW1X5JSRA","ln-312-review-findings-worker",null,"Use when an evaluation coordinator needs normalized findings from target artifacts and research evidence.","vitalikpestov\u002FSkills-Catalog","vitalikpestov","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F13882997?v=4","01M71N4QG0CWRXX4R24JQZXDDQ","Vitalik Pestov","01M71N4QGMSYRW607DDSE0CQMM",2,"MIT","https:\u002F\u002Fgithub.com\u002Fvitalikpestov\u002FSkills-Catalog\u002Fblob\u002Fmain\u002F_AI-Automation\u002Fclaude-code-skills-levnikolaevich\u002Fplugins\u002Fagile-workflow\u002Fskills\u002Fln-312-review-findings-worker\u002FSKILL.md",[18],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000021","资料检索与研究","SCENARIO","使用场景",[24,25,26,27,28,29,30,31,32,33,34,35,36],"review findings","worker","ln 312 review findings worker","ln","review","target","evidence","coordinator","use","when","artifacts","research","Evaluation","2026-11-10 10:56:23",false,"---\nname: ln-312-review-findings-worker\ndescription: \"Use when an evaluation coordinator needs normalized findings from target artifacts and research evidence.\"\nlicense: MIT\n---\n\n> **Paths:** File paths (`references\u002F`, `..\u002Fln-*`) are relative to this skill directory.\n\n**Type:** L3 Worker\n**Category:** 3XX Planning\n\n# Review Findings Worker\n\n## Mandatory Read\n\n**MANDATORY READ:** Load `references\u002Fevaluation_worker_runtime_contract.md`, `references\u002Fevaluation_summary_contract.md`\n**MANDATORY READ:** Load `..\u002Fln-310-multi-agent-validator\u002Freferences\u002Fphase2_research_audit.md`, `..\u002Fln-310-multi-agent-validator\u002Freferences\u002Fpenalty_points.md`\n**MANDATORY READ:** Load `..\u002Fln-310-multi-agent-validator\u002Freferences\u002Fpremortem_validation.md`, `..\u002Fln-310-multi-agent-validator\u002Freferences\u002Fcross_reference_validation.md`\n\n## Purpose\n\n- analyze the target artifact or diff\n- convert evidence into normalized findings\n- for `mode=story`: calculate penalty points across 30 criteria per `phase2_research_audit.md`\n- for `mode=plan_review`: evaluate criteria #5, #6, #21, #28 only (no penalty accumulation)\n- avoid narrative-only review output\n\n## Mode Gate\n\n- `mode=story`: full pipeline — pre-mortem, cross-reference, penalty points across 30 criteria, build fix plan\n- `mode=plan_review`: applicability check, stack detection, evaluate criteria #5 (standards), #6 (library versions), #21 (alternatives), #28 (library features) only, normalize findings without penalty accumulation\n\n## Runtime\n\nRuntime family:\n- `evaluation-worker-runtime`\n\nRequired manifest fields:\n- `identifier`\n- `phase_order`\n- `summary_kind=review-findings`\n- `operation=findings`\n\nRecommended `phase_order`:\n1. `PHASE_0_CONFIG`\n2. `PHASE_1_LOAD_TARGET`\n3. `PHASE_2_PREMORTEM` (mode=story, complexity >= Medium)\n4. `PHASE_3_CROSS_REFERENCE` (mode=story, multi-story Epic)\n5. `PHASE_4_CRITERIA_AUDIT`\n6. `PHASE_5_PENALTY_CALCULATION` (mode=story only)\n7. `PHASE_6_NORMALIZE_FINDINGS`\n8. `PHASE_7_WRITE_SUMMARY`\n9. `PHASE_8_SELF_CHECK`\n\n## Workflow\n\n### Phase 0: Config\n\nLoad runtime manifest, target identifiers, and any linked research artifact paths.\n\n### Phase 1: Load Target\n\nLoad only the target artifacts needed for the review scope.\n\n### Phase 2: Pre-mortem (mode=story)\n\nExecute pre-mortem analysis per `premortem_validation.md`:\n1. Skip for trivial Stories (1-2 tasks, no external deps, known tech).\n2. Execute for Stories with complexity >= Medium (3+ tasks, external deps, or unfamiliar tech).\n3. Tigers (evidence-based risks) feed Risk criterion #20 — add to risk table BEFORE penalty calc.\n4. Elephants (unstated assumptions) feed Assumptions criterion #24 — add with `[pre-mortem]` tag, Confidence=LOW.\n5. Paper Tigers (fears without evidence) — document and dismiss.\n6. Include pre-mortem table in audit report.\n\n### Phase 3: Cross-Reference (mode=story)\n\nExecute cross-reference analysis per `cross_reference_validation.md`:\n1. Skip if Epic has only 1 Story or all siblings Done\u002FCanceled.\n2. Load sibling Stories via `list_issues(project=Epic.id)`.\n3. Check AC overlap (#25): structured traceability first, keyword fallback advisory-only.\n4. Check task duplication (#26): structured match primary.\n5. Include cross-reference findings in audit report.\n\n### Phase 4: Criteria Audit\n\n1. `mode=story`: evaluate all 30 criteria against Story\u002FTasks per `phase2_research_audit.md` Auto-Fix Actions Reference.\n2. `mode=plan_review`: evaluate criteria #5, #6, #21, #28 only (standards + solution groups).\n3. Cross-check claims against provided research evidence when present.\n\n### Phase 5: Penalty Calculation (mode=story)\n\n1. Assign penalty points per violation using severity levels from `phase2_research_audit.md` (CRITICAL=10, HIGH=5, MEDIUM=3, LOW=1).\n2. Apply multiple-violation rules per `penalty_points.md` Calculation Rules.\n3. Calculate total penalty points.\n4. Build fix plan for each violation.\n5. Format penalty audit table per `penalty_points.md` Report Format.\n\n### Phase 6: Normalize Findings\n\nEach finding should prefer structured fields such as:\n- `id`\n- `severity`\n- `category`\n- `subject`\n- `evidence`\n- `recommendation`\n\n### Phase 7: Write Summary\n\nEmit `summary_kind=review-findings`.\n\nPayload must include:\n- `worker=ln-312`\n- `status`\n- `operation=findings`\n- `warnings`\n\nPrefer these fields when available:\n- `findings`\n- `metrics.penalty_total` (mode=story)\n- `metrics.criteria_violated` (list of criterion numbers)\n- `metrics.fix_plan` (array of {criterion, action, severity})\n- `metrics.premortem_summary` (when executed)\n- `metrics.cross_reference_summary` (when executed)\n\n### Phase 8: Self-Check\n\n1. Remove duplicates.\n2. Remove unsupported claims.\n3. Verify penalty calculation matches `penalty_points.md` rules (mode=story).\n4. Record `pass=true` only after summary write.\n\n## Definition of Done\n\n- [ ] Target artifact loaded\n- [ ] Pre-mortem executed or justified as skipped (mode=story)\n- [ ] Cross-reference executed or justified as skipped (mode=story)\n- [ ] Criteria audit completed (30 for story, #5\u002F#6\u002F#21\u002F#28 for others)\n- [ ] Penalty points calculated and fix plan built (mode=story)\n- [ ] Findings normalized\n- [ ] Unsupported claims removed\n- [ ] `review-findings` summary written\n- [ ] Self-check passed\n\n**Version:** 1.0.0\n**Last Updated:** 2026-04-10\n","> **Paths:** File paths (`references\u002F`, `..\u002Fln-*`) are relative to this skill directory.\n\n**Type:** L3 Worker\n**Category:** 3XX Planning\n\n# Review Findings Worker\n\n## Mandatory Read\n\n**MANDATORY READ:** Load `references\u002Fevaluation_worker_runtime_contract.md`, `references\u002Fevaluation_summary_contract.md`\n**MANDATORY READ:** Load `..\u002Fln-310-multi-agent-validator\u002Freferences\u002Fphase2_research_audit.md`, `..\u002Fln-310-multi-agent-validator\u002Freferences\u002Fpenalty_points.md`\n**MANDATORY READ:** Load `..\u002Fln-310-multi-agent-validator\u002Freferences\u002Fpremortem_validation.md`, `..\u002Fln-310-multi-agent-validator\u002Freferences\u002Fcross_reference_validation.md`\n\n## Purpose\n\n- analyze the target artifact or diff\n- convert evidence into normalized findings\n- for `mode=story`: calculate penalty points across 30 criteria per `phase2_research_audit.md`\n- for `mode=plan_review`: evaluate criteria #5, #6, #21, #28 only (no penalty accumulation)\n- avoid narrative-only review output\n\n## Mode Gate\n\n- `mode=story`: full pipeline — pre-mortem, cross-reference, penalty points across 30 criteria, build fix plan\n- `mode=plan_review`: applicability check, stack detection, evaluate criteria #5 (standards), #6 (library versions), #21 (alternatives), #28 (library features) only, normalize findings without penalty accumulation\n\n## Runtime\n\nRuntime family:\n- `evaluation-worker-runtime`\n\nRequired manifest fields:\n- `identifier`\n- `phase_order`\n- `summary_kind=review-findings`\n- `operation=findings`\n\nRecommended `phase_order`:\n1. `PHASE_0_CONFIG`\n2. `PHASE_1_LOAD_TARGET`\n3. `PHASE_2_PREMORTEM` (mode=story, complexity >= Medium)\n4. `PHASE_3_CROSS_REFERENCE` (mode=story, multi-story Epic)\n5. `PHASE_4_CRITERIA_AUDIT`\n6. `PHASE_5_PENALTY_CALCULATION` (mode=story only)\n7. `PHASE_6_NORMALIZE_FINDINGS`\n8. `PHASE_7_WRITE_SUMMARY`\n9. `PHASE_8_SELF_CHECK`\n\n## Workflow\n\n### Phase 0: Config\n\nLoad runtime manifest, target identifiers, and any linked research artifact paths.\n\n### Phase 1: Load Target\n\nLoad only the target artifacts needed for the review scope.\n\n### Phase 2: Pre-mortem (mode=story)\n\nExecute pre-mortem analysis per `premortem_validation.md`:\n1. Skip for trivial Stories (1-2 tasks, no external deps, known tech).\n2. Execute for Stories with complexity >= Medium (3+ tasks, external deps, or unfamiliar tech).\n3. Tigers (evidence-based risks) feed Risk criterion #20 — add to risk table BEFORE penalty calc.\n4. Elephants (unstated assumptions) feed Assumptions criterion #24 — add with `[pre-mortem]` tag, Confidence=LOW.\n5. Paper Tigers (fears without evidence) — document and dismiss.\n6. Include pre-mortem table in audit report.\n\n### Phase 3: Cross-Reference (mode=story)\n\nExecute cross-reference analysis per `cross_reference_validation.md`:\n1. Skip if Epic has only 1 Story or all siblings Done\u002FCanceled.\n2. Load sibling Stories via `list_issues(project=Epic.id)`.\n3. Check AC overlap (#25): structured traceability first, keyword fallback advisory-only.\n4. Check task duplication (#26): structured match primary.\n5. Include cross-reference findings in audit report.\n\n### Phase 4: Criteria Audit\n\n1. `mode=story`: evaluate all 30 criteria against Story\u002FTasks per `phase2_research_audit.md` Auto-Fix Actions Reference.\n2. `mode=plan_review`: evaluate criteria #5, #6, #21, #28 only (standards + solution groups).\n3. Cross-check claims against provided research evidence when present.\n\n### Phase 5: Penalty Calculation (mode=story)\n\n1. Assign penalty points per violation using severity levels from `phase2_research_audit.md` (CRITICAL=10, HIGH=5, MEDIUM=3, LOW=1).\n2. Apply multiple-violation rules per `penalty_points.md` Calculation Rules.\n3. Calculate total penalty points.\n4. Build fix plan for each violation.\n5. Format penalty audit table per `penalty_points.md` Report Format.\n\n### Phase 6: Normalize Findings\n\nEach finding should prefer structured fields such as:\n- `id`\n- `severity`\n- `category`\n- `subject`\n- `evidence`\n- `recommendation`\n\n### Phase 7: Write Summary\n\nEmit `summary_kind=review-findings`.\n\nPayload must include:\n- `worker=ln-312`\n- `status`\n- `operation=findings`\n- `warnings`\n\nPrefer these fields when available:\n- `findings`\n- `metrics.penalty_total` (mode=story)\n- `metrics.criteria_violated` (list of criterion numbers)\n- `metrics.fix_plan` (array of {criterion, action, severity})\n- `metrics.premortem_summary` (when executed)\n- `metrics.cross_reference_summary` (when executed)\n\n### Phase 8: Self-Check\n\n1. Remove duplicates.\n2. Remove unsupported claims.\n3. Verify penalty calculation matches `penalty_points.md` rules (mode=story).\n4. Record `pass=true` only after summary write.\n\n## Definition of Done\n\n- [ ] Target artifact loaded\n- [ ] Pre-mortem executed or justified as skipped (mode=story)\n- [ ] Cross-reference executed or justified as skipped (mode=story)\n- [ ] Criteria audit completed (30 for story, #5\u002F#6\u002F#21\u002F#28 for others)\n- [ ] Penalty points calculated and fix plan built (mode=story)\n- [ ] Findings normalized\n- [ ] Unsupported claims removed\n- [ ] `review-findings` summary written\n- [ ] Self-check passed\n\n**Version:** 1.0.0\n**Last Updated:** 2026-04-10\n",{"name":5,"license":15,"description":7},"main","fbfb242f793fdf040f3a1a6b100896c188c228c8","_AI-Automation\u002Fclaude-code-skills-levnikolaevich\u002Fplugins\u002Fagile-workflow\u002Fskills\u002Fln-312-review-findings-worker",1,"https:\u002F\u002Fgithub.com\u002Fvitalikpestov\u002FSkills-Catalog","https:\u002F\u002Fgithub.com\u002Fvitalikpestov","Listing on crypto exchanges","2026-06-15 22:12:56",{"source":8,"skillName":5,"commands":51,"prompt":61,"zipAvailable":62},[52,55,58],{"tool":53,"command":54},"npx","npx skills add vitalikpestov\u002FSkills-Catalog --skill ln-312-review-findings-worker",{"tool":56,"command":57},"bunx","bunx skills add vitalikpestov\u002FSkills-Catalog --skill ln-312-review-findings-worker",{"tool":59,"command":60},"pnpm","pnpm dlx skills add vitalikpestov\u002FSkills-Catalog --skill ln-312-review-findings-worker","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Fvitalikpestov\u002FSkills-Catalog\u002Fblob\u002Fmain\u002F_AI-Automation\u002Fclaude-code-skills-levnikolaevich\u002Fplugins\u002Fagile-workflow\u002Fskills\u002Fln-312-review-findings-worker\u002FSKILL.md",true,[64,70,74,78,82,86,90,94,98],{"path":65,"resourceType":66,"resourceTypeDesc":67,"sizeBytes":68,"sourceHtmlUrl":69},"references\u002Fcross_reference_validation.md","REFERENCE","参考文档",4177,"https:\u002F\u002Fgithub.com\u002Fvitalikpestov\u002FSkills-Catalog\u002Fblob\u002Fmain\u002F_AI-Automation\u002Fclaude-code-skills-levnikolaevich\u002Fplugins\u002Fagile-workflow\u002Fskills\u002Fln-312-review-findings-worker\u002Freferences\u002Fcross_reference_validation.md",{"path":71,"resourceType":66,"resourceTypeDesc":67,"sizeBytes":72,"sourceHtmlUrl":73},"references\u002Fepistemic_protocol.md",3505,"https:\u002F\u002Fgithub.com\u002Fvitalikpestov\u002FSkills-Catalog\u002Fblob\u002Fmain\u002F_AI-Automation\u002Fclaude-code-skills-levnikolaevich\u002Fplugins\u002Fagile-workflow\u002Fskills\u002Fln-312-review-findings-worker\u002Freferences\u002Fepistemic_protocol.md",{"path":75,"resourceType":66,"resourceTypeDesc":67,"sizeBytes":76,"sourceHtmlUrl":77},"references\u002Fevaluation_summary_contract.md",1888,"https:\u002F\u002Fgithub.com\u002Fvitalikpestov\u002FSkills-Catalog\u002Fblob\u002Fmain\u002F_AI-Automation\u002Fclaude-code-skills-levnikolaevich\u002Fplugins\u002Fagile-workflow\u002Fskills\u002Fln-312-review-findings-worker\u002Freferences\u002Fevaluation_summary_contract.md",{"path":79,"resourceType":66,"resourceTypeDesc":67,"sizeBytes":80,"sourceHtmlUrl":81},"references\u002Fevaluation_worker_runtime_contract.md",2010,"https:\u002F\u002Fgithub.com\u002Fvitalikpestov\u002FSkills-Catalog\u002Fblob\u002Fmain\u002F_AI-Automation\u002Fclaude-code-skills-levnikolaevich\u002Fplugins\u002Fagile-workflow\u002Fskills\u002Fln-312-review-findings-worker\u002Freferences\u002Fevaluation_worker_runtime_contract.md",{"path":83,"resourceType":66,"resourceTypeDesc":67,"sizeBytes":84,"sourceHtmlUrl":85},"references\u002Fpenalty_points.md",4313,"https:\u002F\u002Fgithub.com\u002Fvitalikpestov\u002FSkills-Catalog\u002Fblob\u002Fmain\u002F_AI-Automation\u002Fclaude-code-skills-levnikolaevich\u002Fplugins\u002Fagile-workflow\u002Fskills\u002Fln-312-review-findings-worker\u002Freferences\u002Fpenalty_points.md",{"path":87,"resourceType":66,"resourceTypeDesc":67,"sizeBytes":88,"sourceHtmlUrl":89},"references\u002Fphase2_research_audit.md",12504,"https:\u002F\u002Fgithub.com\u002Fvitalikpestov\u002FSkills-Catalog\u002Fblob\u002Fmain\u002F_AI-Automation\u002Fclaude-code-skills-levnikolaevich\u002Fplugins\u002Fagile-workflow\u002Fskills\u002Fln-312-review-findings-worker\u002Freferences\u002Fphase2_research_audit.md",{"path":91,"resourceType":66,"resourceTypeDesc":67,"sizeBytes":92,"sourceHtmlUrl":93},"references\u002Fplan_review_pipeline.md",2423,"https:\u002F\u002Fgithub.com\u002Fvitalikpestov\u002FSkills-Catalog\u002Fblob\u002Fmain\u002F_AI-Automation\u002Fclaude-code-skills-levnikolaevich\u002Fplugins\u002Fagile-workflow\u002Fskills\u002Fln-312-review-findings-worker\u002Freferences\u002Fplan_review_pipeline.md",{"path":95,"resourceType":66,"resourceTypeDesc":67,"sizeBytes":96,"sourceHtmlUrl":97},"references\u002Fpremortem_validation.md",6406,"https:\u002F\u002Fgithub.com\u002Fvitalikpestov\u002FSkills-Catalog\u002Fblob\u002Fmain\u002F_AI-Automation\u002Fclaude-code-skills-levnikolaevich\u002Fplugins\u002Fagile-workflow\u002Fskills\u002Fln-312-review-findings-worker\u002Freferences\u002Fpremortem_validation.md",{"path":99,"resourceType":66,"resourceTypeDesc":67,"sizeBytes":100,"sourceHtmlUrl":101},"references\u002Fresearch_methodology.md",5528,"https:\u002F\u002Fgithub.com\u002Fvitalikpestov\u002FSkills-Catalog\u002Fblob\u002Fmain\u002F_AI-Automation\u002Fclaude-code-skills-levnikolaevich\u002Fplugins\u002Fagile-workflow\u002Fskills\u002Fln-312-review-findings-worker\u002Freferences\u002Fresearch_methodology.md",[103,145,170,187,210,242],{"skillNo":104,"name":105,"nameZh":6,"description":106,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":107,"categories":108,"keywords":123,"publishedAt":144},"01M71V1MC994P553631JZSWVYD","solana-dev","Use when user asks to \"build a Solana dapp\", \"write an Anchor program\", \"create a token\", \"debug Solana errors\", \"set up wallet connection\", \"test my Solana program\", \"deploy to devnet\", or \"explain Solana concepts\" (rent, accounts, PDAs, CPIs, etc.). End-to-end Solana development playbook covering wallet connection, Anchor\u002FPinocchio programs, Codama client generation, LiteSVM\u002FMollusk\u002FSurfpool testing, and security checklists. Integrates with the Solana MCP server for live documentation search. Prefers framework-kit (@solana\u002Fclient + @solana\u002Freact-hooks) for UI, wallet-standard-first connection (incl. ConnectorKit), @solana\u002Fkit for client\u002FRPC code, and @solana\u002Fweb3-compat for legacy boundaries.","https:\u002F\u002Fgithub.com\u002Fvitalikpestov\u002FSkills-Catalog\u002Fblob\u002Fmain\u002F_Web3\u002Fsolana-dev\u002Fskill\u002FSKILL.md",[109,112,115,118],{"categoryNo":110,"categoryName":111,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000008","测试与质量",{"categoryNo":113,"categoryName":114,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000009","前端开发",{"categoryNo":116,"categoryName":117,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000023","Skill与智能体开发",{"categoryNo":119,"categoryName":120,"taxonomyType":121,"taxonomyTypeDesc":122},"01JBSEEDCAT000000000000030","开发工程师","PROFESSION","适用职业",[124,125,126,127,128,129,130,131,132,133,134,135,136,137,138,139,140,141,142,143],"dev","solana dev","solana","Wallet","search","testing","solana cli","kit","MCP","web3","react","create","server","write","playbook","live","security","ui","concepts","toolchain","2026-11-10 13:02:02",{"skillNo":146,"name":147,"nameZh":6,"description":148,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":149,"categories":150,"keywords":151,"publishedAt":144},"01M71TYQPHE2YGKTT7DG9QCW3K","generating-trading-signals","Generate trading signals using technical indicators (RSI, MACD, Bollinger Bands, etc.).\nCombines multiple indicators into composite signals with confidence scores.\nUse when analyzing assets for trading opportunities or checking technical indicators.\nTrigger with phrases like \"get trading signals\", \"check indicators\", \"analyze for entry\",\n\"scan for opportunities\", \"generate buy\u002Fsell signals\", or \"technical analysis\".","https:\u002F\u002Fgithub.com\u002Fvitalikpestov\u002FSkills-Catalog\u002Fblob\u002Fmain\u002F_Trading-Finance\u002Fgenerating-trading-signals\u002FSKILL.md",[],[152,153,154,155,156,157,158,159,160,161,162,163,32,33,164,165,166,167,168,169],"generating trading signals","signals","trading signals","trading","get","technical indicators","for","scan","rsi","trigger","python","technical","Bash","analysis","code","io","check","analyze",{"skillNo":171,"name":172,"nameZh":6,"description":173,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":174,"categories":175,"keywords":176,"publishedAt":144},"01M71TY4CR3GKGQ3M12X9WN95Y","prediction-monitor","Prediction Monitor - Auto-activating skill for ML Deployment.\nTriggers on: prediction monitor, prediction monitor\nPart of the ML Deployment skill category.","https:\u002F\u002Fgithub.com\u002Fvitalikpestov\u002FSkills-Catalog\u002Fblob\u002Fmain\u002F_Trading-Finance\u002FAI Predictions\u002Fprediction-monitor\u002FSKILL.md",[],[177,178,179,158,180,181,137,182,183,184,185,186,164],"prediction","monitor","prediction monitor","deployment","read","edit","triggers","grep","auto","ml",{"skillNo":188,"name":189,"nameZh":6,"description":190,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":191,"categories":192,"keywords":193,"publishedAt":144},"01M71TXD9MYXZC39HCPP909HTZ","strategy-advisor","High-level strategic thinking and business decision guidance for planning and direction-setting.\nUse when: making strategic decisions, evaluating business options, setting direction, analyzing\ntrade-offs, or when user mentions strategy, business planning, competitive analysis, or long-term planning.","https:\u002F\u002Fgithub.com\u002Fvitalikpestov\u002FSkills-Catalog\u002Fblob\u002Fmain\u002F_Product-Apps\u002Fstrategy-advisor\u002FSKILL.md",[],[194,195,196,197,198,199,200,201,202,158,203,204,205,32,206,207,33,208,165,209],"strategy advisor","strategy","advisor","competitive","setting","thinking","planning","direction","trade-offs","long","decision","strategic","business","apps","decisions","trade",{"skillNo":211,"name":212,"nameZh":6,"description":213,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":214,"sourceHtmlUrl":215,"categories":216,"keywords":223,"publishedAt":144},"01M71TWHBT2R1P1FNWTW67ZREP","app-paywall-pilot","Design, audit, debug, and implement App Store-compliant mobile paywalls, subscription flows, pricing screens, trials, offers, feature gates, and subscription lifecycle UX. Use when the user asks to audit my paywall, fix App Store 3.1.2 rejection, improve trial-to-paid, choose plans\u002Fprices\u002Ftrials, review RevenueCat\u002FAdapty\u002FApphud\u002FSuperwall setup, calculate LTV\u002FROAS, or build paywall implementation.","https:\u002F\u002Fgithub.com\u002Fvitalikpestov\u002FSkills-Catalog\u002Fblob\u002Fmain\u002F_Product-Apps\u002Ffrom-dosesync\u002Fapp-paywall-pilot\u002FLICENSE","https:\u002F\u002Fgithub.com\u002Fvitalikpestov\u002FSkills-Catalog\u002Fblob\u002Fmain\u002F_Product-Apps\u002Ffrom-dosesync\u002Fapp-paywall-pilot\u002FSKILL.md",[217,220],{"categoryNo":218,"categoryName":219,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000015","视觉设计",{"categoryNo":221,"categoryName":222,"taxonomyType":121,"taxonomyTypeDesc":122},"01JBSEEDCAT000000000000032","设计师",[224,225,226,227,228,229,230,231,232,233,234,235,33,28,236,237,238,239,240,241],"app","paywall","app paywall pilot","paid","paywalls","prices","choose","flows","fix","improve","design","app store","audit","ux","subscription","mobile","my","calculate",{"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":246,"licenseFileUrl":247,"sourceHtmlUrl":248,"categories":249,"keywords":252,"publishedAt":144},"01M71TWET8GFKEB7ZHJPMQX29V","figma","Use the Figma MCP server to fetch design context, screenshots, variables, and assets from Figma, and to translate Figma nodes into production code. Trigger when a task involves Figma URLs, node IDs, design-to-code implementation, or Figma MCP setup and troubleshooting.","Apache-2.0","https:\u002F\u002Fgithub.com\u002Fvitalikpestov\u002FSkills-Catalog\u002Fblob\u002Fmain\u002F_Product-Apps\u002Ffigma\u002FLICENSE.txt","https:\u002F\u002Fgithub.com\u002Fvitalikpestov\u002FSkills-Catalog\u002Fblob\u002Fmain\u002F_Product-Apps\u002Ffigma\u002FSKILL.md",[250,251],{"categoryNo":116,"categoryName":117,"taxonomyType":21,"taxonomyTypeDesc":22},{"categoryNo":221,"categoryName":222,"taxonomyType":121,"taxonomyTypeDesc":122},[244,253,254,255,256,161,234,132,32,33,257,258,166,259,136,260,261,262,263,264],"fetch","ids","mcp setup","translate","mcp server","Variables","task","Nodes","figma mcp","code implementation","node","assets"]