[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill-aws-labs-executive-financial-briefing":3,"mdc-pfwt22-key":48,"related-org-aws-labs-executive-financial-briefing":587,"related-repo-aws-labs-executive-financial-briefing":755},{"slug":4,"name":4,"fn":5,"description":6,"org":7,"tags":12,"stars":26,"repoUrl":27,"updatedAt":28,"license":29,"forks":30,"topics":31,"repo":43,"sourceUrl":46,"mdContent":47},"executive-financial-briefing","generate executive financial briefings","Generates a concise executive-level financial briefing or summary suitable for a CEO, CFO, or board presentation. Use when the user asks for a summary, briefing, executive summary, board update, financial overview, financial health check, or \"how is the business doing\". Covers the full P&L picture in one page. Also use for \"give me the highlights\", \"what do I need to know\", or \"quick financial update\".",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},"aws-labs","AWS Labs","https:\u002F\u002Fpexgzepcugksgbtrxkhf.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Forg-logos\u002Faws-labs.png","awslabs",[13,17,20,23],{"name":14,"slug":15,"type":16},"Management","management","tag",{"name":18,"slug":19,"type":16},"Reporting","reporting",{"name":21,"slug":22,"type":16},"Finance","finance",{"name":24,"slug":25,"type":16},"AWS","aws",3176,"https:\u002F\u002Fgithub.com\u002Fawslabs\u002Fagentcore-samples","2026-07-12T08:40:02.066471",null,1233,[32,33,34,35,36,37,38,39,40,41,42],"agent","agentic-ai","agents","authentication","bedrock","core","gateway","identity-management","memory-management","production-code","runtime",{"repoUrl":27,"stars":26,"forks":30,"topics":44,"description":45},[32,33,34,35,36,37,38,39,40,41,42],"Amazon Bedrock Agentcore accelerates AI agents into production with the scale, reliability, and security, critical to real-world deployment.","https:\u002F\u002Fgithub.com\u002Fawslabs\u002Fagentcore-samples\u002Ftree\u002FHEAD\u002F01-features\u002F07-centralize-and-govern-your-ai-infrastructure\u002F03-registry\u002F03-advanced\u002Fstrands-mcp-ecs-registry\u002Fmy_skills\u002Fexecutive-financial-briefing","---\nname: executive-financial-briefing\ndescription: Generates a concise executive-level financial briefing or summary suitable\n  for a CEO, CFO, or board presentation. Use when the user asks for a summary,\n  briefing, executive summary, board update, financial overview, financial health check,\n  or \"how is the business doing\". Covers the full P&L picture in one page. Also use\n  for \"give me the highlights\", \"what do I need to know\", or \"quick financial update\".\nmetadata:\n  version: \"1.0\"\n  tags: finance, executive, briefing, summary, ceo, board\nmcp_tools:\n  - get_financial_data\n  - get_kpi_benchmarks\n---\n\n# Executive Financial Briefing\n\nProduces a one-page executive financial briefing covering the most recent\nquarter's performance, key KPIs, notable trends, and 3 action items.\n\n## Prerequisites\n\nNo inputs required. Uses the most recent quarter (Q3 2025) as the primary\nperiod, with Q2 2025 as the comparison.\n\n## Steps\n\n### Step 1: Gather all data in parallel\n\nFetch current and prior quarter P&L:\n\n    get_financial_data(period=\"Q3 2025\")\n    get_financial_data(period=\"Q2 2025\")\n    get_kpi_benchmarks()\n\n### Step 2: Compute the full KPI dashboard\n\nUse python_exec to calculate all KPIs for both quarters:\n\n```python\n# Q3 2025\nr3 = 4200000; c3 = 1890000; o3 = 1050000; e3 = 1260000\n# Q2 2025\nr2 = 3800000; c2 = 1710000; o2 = 980000;  e2 = 1110000\n\n# KPIs\ngm3   = round((r3 - c3) \u002F r3 * 100, 1)\nem3   = round(e3 \u002F r3 * 100, 1)\nop3   = round(o3 \u002F r3 * 100, 1)\nqoq3  = round((r3 - r2) \u002F r2 * 100, 1)\n\ngm2   = round((r2 - c2) \u002F r2 * 100, 1)\nem2   = round(e2 \u002F r2 * 100, 1)\nop2   = round(o2 \u002F r2 * 100, 1)\n\ndef status(val, benchmark, higher_better=True):\n    diff = val - benchmark\n    if higher_better:\n        if diff >= 0:    return \"GREEN\"\n        if diff >= -5:   return \"YELLOW\"\n        return \"RED\"\n    else:\n        if diff \u003C= 0:    return \"GREEN\"\n        if diff \u003C= 5:    return \"YELLOW\"\n        return \"RED\"\n\nprint(\"=== Q3 2025 EXECUTIVE DASHBOARD ===\")\nprint(f\"Revenue:          ${r3:,.0f}  (QoQ: {qoq3:+.1f}%)\")\nprint(f\"EBITDA:           ${e3:,.0f}  (margin: {em3}%)  [{status(em3,15)}]\")\nprint(f\"Gross Margin:     {gm3}%  (benchmark: 40%)  [{status(gm3,40)}]\")\nprint(f\"OpEx Ratio:       {op3}%  (benchmark: 30%)  [{status(op3,30,False)}]\")\nprint(f\"\\nQoQ Changes:\")\nprint(f\"  Revenue:        {qoq3:+.1f}%\")\nprint(f\"  Gross Margin:   {gm3-gm2:+.1f}pp\")\nprint(f\"  EBITDA Margin:  {em3-em2:+.1f}pp\")\nprint(f\"  OpEx Ratio:     {op3-op2:+.1f}pp\")\n```\n\n### Step 3: Compose the briefing\n\nWrite a structured executive briefing with exactly these sections:\n\n**FINANCIAL BRIEFING — Q3 2025**\n*Prepared by Financial Analyst Agent | [today's date]*\n\n---\n\n**Headline Numbers**\n- Revenue, EBITDA, and Gross Margin in a 3-item bullet list with QoQ delta\n\n**Performance vs Benchmarks**\n- A compact table: Metric | Value | Benchmark | Status (GREEN\u002FYELLOW\u002FRED)\n\n**What's Working**\n- 2 bullet points on the strongest results\n\n**Watch List**\n- 1–2 bullet points on areas of concern or metrics approaching thresholds\n\n**Recommended Actions**\n- 3 numbered action items for leadership, each one sentence\n\nKeep the entire briefing to under 400 words. Write for a time-pressured CFO\nwho reads this in 60 seconds.\n",{"data":49,"body":56},{"name":4,"description":6,"metadata":50,"mcp_tools":53},{"version":51,"tags":52},"1.0","finance, executive, briefing, summary, ceo, board",[54,55],"get_financial_data","get_kpi_benchmarks",{"type":57,"children":58},"root",[59,67,73,80,85,91,98,103,116,122,127,459,465,470,490,494,502,512,520,528,536,544,552,560,568,576,581],{"type":60,"tag":61,"props":62,"children":63},"element","h1",{"id":4},[64],{"type":65,"value":66},"text","Executive Financial Briefing",{"type":60,"tag":68,"props":69,"children":70},"p",{},[71],{"type":65,"value":72},"Produces a one-page executive financial briefing covering the most recent\nquarter's performance, key KPIs, notable trends, and 3 action items.",{"type":60,"tag":74,"props":75,"children":77},"h2",{"id":76},"prerequisites",[78],{"type":65,"value":79},"Prerequisites",{"type":60,"tag":68,"props":81,"children":82},{},[83],{"type":65,"value":84},"No inputs required. Uses the most recent quarter (Q3 2025) as the primary\nperiod, with Q2 2025 as the comparison.",{"type":60,"tag":74,"props":86,"children":88},{"id":87},"steps",[89],{"type":65,"value":90},"Steps",{"type":60,"tag":92,"props":93,"children":95},"h3",{"id":94},"step-1-gather-all-data-in-parallel",[96],{"type":65,"value":97},"Step 1: Gather all data in parallel",{"type":60,"tag":68,"props":99,"children":100},{},[101],{"type":65,"value":102},"Fetch current and prior quarter P&L:",{"type":60,"tag":104,"props":105,"children":109},"pre",{"className":106,"code":108,"language":65},[107],"language-text","get_financial_data(period=\"Q3 2025\")\nget_financial_data(period=\"Q2 2025\")\nget_kpi_benchmarks()\n",[110],{"type":60,"tag":111,"props":112,"children":114},"code",{"__ignoreMap":113},"",[115],{"type":65,"value":108},{"type":60,"tag":92,"props":117,"children":119},{"id":118},"step-2-compute-the-full-kpi-dashboard",[120],{"type":65,"value":121},"Step 2: Compute the full KPI dashboard",{"type":60,"tag":68,"props":123,"children":124},{},[125],{"type":65,"value":126},"Use python_exec to calculate all KPIs for both quarters:",{"type":60,"tag":104,"props":128,"children":132},{"className":129,"code":130,"language":131,"meta":113,"style":113},"language-python shiki shiki-themes material-theme-lighter material-theme material-theme-palenight","# Q3 2025\nr3 = 4200000; c3 = 1890000; o3 = 1050000; e3 = 1260000\n# Q2 2025\nr2 = 3800000; c2 = 1710000; o2 = 980000;  e2 = 1110000\n\n# KPIs\ngm3   = round((r3 - c3) \u002F r3 * 100, 1)\nem3   = round(e3 \u002F r3 * 100, 1)\nop3   = round(o3 \u002F r3 * 100, 1)\nqoq3  = round((r3 - r2) \u002F r2 * 100, 1)\n\ngm2   = round((r2 - c2) \u002F r2 * 100, 1)\nem2   = round(e2 \u002F r2 * 100, 1)\nop2   = round(o2 \u002F r2 * 100, 1)\n\ndef status(val, benchmark, higher_better=True):\n    diff = val - benchmark\n    if higher_better:\n        if diff >= 0:    return \"GREEN\"\n        if diff >= -5:   return \"YELLOW\"\n        return \"RED\"\n    else:\n        if diff \u003C= 0:    return \"GREEN\"\n        if diff \u003C= 5:    return \"YELLOW\"\n        return \"RED\"\n\nprint(\"=== Q3 2025 EXECUTIVE DASHBOARD ===\")\nprint(f\"Revenue:          ${r3:,.0f}  (QoQ: {qoq3:+.1f}%)\")\nprint(f\"EBITDA:           ${e3:,.0f}  (margin: {em3}%)  [{status(em3,15)}]\")\nprint(f\"Gross Margin:     {gm3}%  (benchmark: 40%)  [{status(gm3,40)}]\")\nprint(f\"OpEx Ratio:       {op3}%  (benchmark: 30%)  [{status(op3,30,False)}]\")\nprint(f\"\\nQoQ Changes:\")\nprint(f\"  Revenue:        {qoq3:+.1f}%\")\nprint(f\"  Gross Margin:   {gm3-gm2:+.1f}pp\")\nprint(f\"  EBITDA Margin:  {em3-em2:+.1f}pp\")\nprint(f\"  OpEx Ratio:     {op3-op2:+.1f}pp\")\n","python",[133],{"type":60,"tag":111,"props":134,"children":135},{"__ignoreMap":113},[136,147,156,165,174,184,193,202,211,220,229,237,246,255,264,272,281,290,299,308,317,326,335,344,353,361,369,378,387,396,405,414,423,432,441,450],{"type":60,"tag":137,"props":138,"children":141},"span",{"class":139,"line":140},"line",1,[142],{"type":60,"tag":137,"props":143,"children":144},{},[145],{"type":65,"value":146},"# Q3 2025\n",{"type":60,"tag":137,"props":148,"children":150},{"class":139,"line":149},2,[151],{"type":60,"tag":137,"props":152,"children":153},{},[154],{"type":65,"value":155},"r3 = 4200000; c3 = 1890000; o3 = 1050000; e3 = 1260000\n",{"type":60,"tag":137,"props":157,"children":159},{"class":139,"line":158},3,[160],{"type":60,"tag":137,"props":161,"children":162},{},[163],{"type":65,"value":164},"# Q2 2025\n",{"type":60,"tag":137,"props":166,"children":168},{"class":139,"line":167},4,[169],{"type":60,"tag":137,"props":170,"children":171},{},[172],{"type":65,"value":173},"r2 = 3800000; c2 = 1710000; o2 = 980000;  e2 = 1110000\n",{"type":60,"tag":137,"props":175,"children":177},{"class":139,"line":176},5,[178],{"type":60,"tag":137,"props":179,"children":181},{"emptyLinePlaceholder":180},true,[182],{"type":65,"value":183},"\n",{"type":60,"tag":137,"props":185,"children":187},{"class":139,"line":186},6,[188],{"type":60,"tag":137,"props":189,"children":190},{},[191],{"type":65,"value":192},"# KPIs\n",{"type":60,"tag":137,"props":194,"children":196},{"class":139,"line":195},7,[197],{"type":60,"tag":137,"props":198,"children":199},{},[200],{"type":65,"value":201},"gm3   = round((r3 - c3) \u002F r3 * 100, 1)\n",{"type":60,"tag":137,"props":203,"children":205},{"class":139,"line":204},8,[206],{"type":60,"tag":137,"props":207,"children":208},{},[209],{"type":65,"value":210},"em3   = round(e3 \u002F r3 * 100, 1)\n",{"type":60,"tag":137,"props":212,"children":214},{"class":139,"line":213},9,[215],{"type":60,"tag":137,"props":216,"children":217},{},[218],{"type":65,"value":219},"op3   = round(o3 \u002F r3 * 100, 1)\n",{"type":60,"tag":137,"props":221,"children":223},{"class":139,"line":222},10,[224],{"type":60,"tag":137,"props":225,"children":226},{},[227],{"type":65,"value":228},"qoq3  = round((r3 - r2) \u002F r2 * 100, 1)\n",{"type":60,"tag":137,"props":230,"children":232},{"class":139,"line":231},11,[233],{"type":60,"tag":137,"props":234,"children":235},{"emptyLinePlaceholder":180},[236],{"type":65,"value":183},{"type":60,"tag":137,"props":238,"children":240},{"class":139,"line":239},12,[241],{"type":60,"tag":137,"props":242,"children":243},{},[244],{"type":65,"value":245},"gm2   = round((r2 - c2) \u002F r2 * 100, 1)\n",{"type":60,"tag":137,"props":247,"children":249},{"class":139,"line":248},13,[250],{"type":60,"tag":137,"props":251,"children":252},{},[253],{"type":65,"value":254},"em2   = round(e2 \u002F r2 * 100, 1)\n",{"type":60,"tag":137,"props":256,"children":258},{"class":139,"line":257},14,[259],{"type":60,"tag":137,"props":260,"children":261},{},[262],{"type":65,"value":263},"op2   = round(o2 \u002F r2 * 100, 1)\n",{"type":60,"tag":137,"props":265,"children":267},{"class":139,"line":266},15,[268],{"type":60,"tag":137,"props":269,"children":270},{"emptyLinePlaceholder":180},[271],{"type":65,"value":183},{"type":60,"tag":137,"props":273,"children":275},{"class":139,"line":274},16,[276],{"type":60,"tag":137,"props":277,"children":278},{},[279],{"type":65,"value":280},"def status(val, benchmark, higher_better=True):\n",{"type":60,"tag":137,"props":282,"children":284},{"class":139,"line":283},17,[285],{"type":60,"tag":137,"props":286,"children":287},{},[288],{"type":65,"value":289},"    diff = val - benchmark\n",{"type":60,"tag":137,"props":291,"children":293},{"class":139,"line":292},18,[294],{"type":60,"tag":137,"props":295,"children":296},{},[297],{"type":65,"value":298},"    if higher_better:\n",{"type":60,"tag":137,"props":300,"children":302},{"class":139,"line":301},19,[303],{"type":60,"tag":137,"props":304,"children":305},{},[306],{"type":65,"value":307},"        if diff >= 0:    return \"GREEN\"\n",{"type":60,"tag":137,"props":309,"children":311},{"class":139,"line":310},20,[312],{"type":60,"tag":137,"props":313,"children":314},{},[315],{"type":65,"value":316},"        if diff >= -5:   return \"YELLOW\"\n",{"type":60,"tag":137,"props":318,"children":320},{"class":139,"line":319},21,[321],{"type":60,"tag":137,"props":322,"children":323},{},[324],{"type":65,"value":325},"        return \"RED\"\n",{"type":60,"tag":137,"props":327,"children":329},{"class":139,"line":328},22,[330],{"type":60,"tag":137,"props":331,"children":332},{},[333],{"type":65,"value":334},"    else:\n",{"type":60,"tag":137,"props":336,"children":338},{"class":139,"line":337},23,[339],{"type":60,"tag":137,"props":340,"children":341},{},[342],{"type":65,"value":343},"        if diff \u003C= 0:    return \"GREEN\"\n",{"type":60,"tag":137,"props":345,"children":347},{"class":139,"line":346},24,[348],{"type":60,"tag":137,"props":349,"children":350},{},[351],{"type":65,"value":352},"        if diff \u003C= 5:    return \"YELLOW\"\n",{"type":60,"tag":137,"props":354,"children":356},{"class":139,"line":355},25,[357],{"type":60,"tag":137,"props":358,"children":359},{},[360],{"type":65,"value":325},{"type":60,"tag":137,"props":362,"children":364},{"class":139,"line":363},26,[365],{"type":60,"tag":137,"props":366,"children":367},{"emptyLinePlaceholder":180},[368],{"type":65,"value":183},{"type":60,"tag":137,"props":370,"children":372},{"class":139,"line":371},27,[373],{"type":60,"tag":137,"props":374,"children":375},{},[376],{"type":65,"value":377},"print(\"=== Q3 2025 EXECUTIVE DASHBOARD ===\")\n",{"type":60,"tag":137,"props":379,"children":381},{"class":139,"line":380},28,[382],{"type":60,"tag":137,"props":383,"children":384},{},[385],{"type":65,"value":386},"print(f\"Revenue:          ${r3:,.0f}  (QoQ: {qoq3:+.1f}%)\")\n",{"type":60,"tag":137,"props":388,"children":390},{"class":139,"line":389},29,[391],{"type":60,"tag":137,"props":392,"children":393},{},[394],{"type":65,"value":395},"print(f\"EBITDA:           ${e3:,.0f}  (margin: {em3}%)  [{status(em3,15)}]\")\n",{"type":60,"tag":137,"props":397,"children":399},{"class":139,"line":398},30,[400],{"type":60,"tag":137,"props":401,"children":402},{},[403],{"type":65,"value":404},"print(f\"Gross Margin:     {gm3}%  (benchmark: 40%)  [{status(gm3,40)}]\")\n",{"type":60,"tag":137,"props":406,"children":408},{"class":139,"line":407},31,[409],{"type":60,"tag":137,"props":410,"children":411},{},[412],{"type":65,"value":413},"print(f\"OpEx Ratio:       {op3}%  (benchmark: 30%)  [{status(op3,30,False)}]\")\n",{"type":60,"tag":137,"props":415,"children":417},{"class":139,"line":416},32,[418],{"type":60,"tag":137,"props":419,"children":420},{},[421],{"type":65,"value":422},"print(f\"\\nQoQ Changes:\")\n",{"type":60,"tag":137,"props":424,"children":426},{"class":139,"line":425},33,[427],{"type":60,"tag":137,"props":428,"children":429},{},[430],{"type":65,"value":431},"print(f\"  Revenue:        {qoq3:+.1f}%\")\n",{"type":60,"tag":137,"props":433,"children":435},{"class":139,"line":434},34,[436],{"type":60,"tag":137,"props":437,"children":438},{},[439],{"type":65,"value":440},"print(f\"  Gross Margin:   {gm3-gm2:+.1f}pp\")\n",{"type":60,"tag":137,"props":442,"children":444},{"class":139,"line":443},35,[445],{"type":60,"tag":137,"props":446,"children":447},{},[448],{"type":65,"value":449},"print(f\"  EBITDA Margin:  {em3-em2:+.1f}pp\")\n",{"type":60,"tag":137,"props":451,"children":453},{"class":139,"line":452},36,[454],{"type":60,"tag":137,"props":455,"children":456},{},[457],{"type":65,"value":458},"print(f\"  OpEx Ratio:     {op3-op2:+.1f}pp\")\n",{"type":60,"tag":92,"props":460,"children":462},{"id":461},"step-3-compose-the-briefing",[463],{"type":65,"value":464},"Step 3: Compose the briefing",{"type":60,"tag":68,"props":466,"children":467},{},[468],{"type":65,"value":469},"Write a structured executive briefing with exactly these sections:",{"type":60,"tag":68,"props":471,"children":472},{},[473,479],{"type":60,"tag":474,"props":475,"children":476},"strong",{},[477],{"type":65,"value":478},"FINANCIAL BRIEFING — Q3 2025",{"type":60,"tag":480,"props":481,"children":482},"em",{},[483,485],{"type":65,"value":484},"Prepared by Financial Analyst Agent | ",{"type":60,"tag":137,"props":486,"children":487},{},[488],{"type":65,"value":489},"today's date",{"type":60,"tag":491,"props":492,"children":493},"hr",{},[],{"type":60,"tag":68,"props":495,"children":496},{},[497],{"type":60,"tag":474,"props":498,"children":499},{},[500],{"type":65,"value":501},"Headline Numbers",{"type":60,"tag":503,"props":504,"children":505},"ul",{},[506],{"type":60,"tag":507,"props":508,"children":509},"li",{},[510],{"type":65,"value":511},"Revenue, EBITDA, and Gross Margin in a 3-item bullet list with QoQ delta",{"type":60,"tag":68,"props":513,"children":514},{},[515],{"type":60,"tag":474,"props":516,"children":517},{},[518],{"type":65,"value":519},"Performance vs Benchmarks",{"type":60,"tag":503,"props":521,"children":522},{},[523],{"type":60,"tag":507,"props":524,"children":525},{},[526],{"type":65,"value":527},"A compact table: Metric | Value | Benchmark | Status (GREEN\u002FYELLOW\u002FRED)",{"type":60,"tag":68,"props":529,"children":530},{},[531],{"type":60,"tag":474,"props":532,"children":533},{},[534],{"type":65,"value":535},"What's Working",{"type":60,"tag":503,"props":537,"children":538},{},[539],{"type":60,"tag":507,"props":540,"children":541},{},[542],{"type":65,"value":543},"2 bullet points on the strongest results",{"type":60,"tag":68,"props":545,"children":546},{},[547],{"type":60,"tag":474,"props":548,"children":549},{},[550],{"type":65,"value":551},"Watch List",{"type":60,"tag":503,"props":553,"children":554},{},[555],{"type":60,"tag":507,"props":556,"children":557},{},[558],{"type":65,"value":559},"1–2 bullet points on areas of concern or metrics approaching thresholds",{"type":60,"tag":68,"props":561,"children":562},{},[563],{"type":60,"tag":474,"props":564,"children":565},{},[566],{"type":65,"value":567},"Recommended Actions",{"type":60,"tag":503,"props":569,"children":570},{},[571],{"type":60,"tag":507,"props":572,"children":573},{},[574],{"type":65,"value":575},"3 numbered action items for leadership, each one sentence",{"type":60,"tag":68,"props":577,"children":578},{},[579],{"type":65,"value":580},"Keep the entire briefing to under 400 words. Write for a time-pressured CFO\nwho reads this in 60 seconds.",{"type":60,"tag":582,"props":583,"children":584},"style",{},[585],{"type":65,"value":586},"html .light .shiki span {color: var(--shiki-light);background: var(--shiki-light-bg);font-style: var(--shiki-light-font-style);font-weight: var(--shiki-light-font-weight);text-decoration: var(--shiki-light-text-decoration);}html.light .shiki span {color: var(--shiki-light);background: var(--shiki-light-bg);font-style: var(--shiki-light-font-style);font-weight: var(--shiki-light-font-weight);text-decoration: var(--shiki-light-text-decoration);}html .default .shiki span {color: var(--shiki-default);background: var(--shiki-default-bg);font-style: var(--shiki-default-font-style);font-weight: var(--shiki-default-font-weight);text-decoration: var(--shiki-default-text-decoration);}html .shiki span {color: var(--shiki-default);background: var(--shiki-default-bg);font-style: var(--shiki-default-font-style);font-weight: var(--shiki-default-font-weight);text-decoration: var(--shiki-default-text-decoration);}html .dark .shiki span {color: var(--shiki-dark);background: var(--shiki-dark-bg);font-style: var(--shiki-dark-font-style);font-weight: var(--shiki-dark-font-weight);text-decoration: var(--shiki-dark-text-decoration);}html.dark .shiki span {color: var(--shiki-dark);background: var(--shiki-dark-bg);font-style: var(--shiki-dark-font-style);font-weight: var(--shiki-dark-font-weight);text-decoration: var(--shiki-dark-text-decoration);}",{"items":588,"total":754},[589,608,629,639,652,665,675,685,702,709,724,739],{"slug":590,"name":590,"fn":591,"description":592,"org":593,"tags":594,"stars":605,"repoUrl":606,"updatedAt":607},"agentcore-investigation","investigate Bedrock AgentCore runtime sessions","Investigate Bedrock AgentCore runtime sessions via CloudWatch Logs Insights — resolve session\u002Ftrace IDs, query OTEL spans, filter noise, build timelines. Use when debugging AgentCore agent sessions, tracing tool calls, or analyzing latency.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[595,596,599,602],{"name":24,"slug":25,"type":16},{"name":597,"slug":598,"type":16},"Debugging","debugging",{"name":600,"slug":601,"type":16},"Logs","logs",{"name":603,"slug":604,"type":16},"Observability","observability",9427,"https:\u002F\u002Fgithub.com\u002Fawslabs\u002Fmcp","2026-07-12T08:37:22.601527",{"slug":609,"name":610,"fn":611,"description":612,"org":613,"tags":614,"stars":605,"repoUrl":606,"updatedAt":628},"amazon-aurora-dsql","amazon aurora dsql","build applications with Aurora DSQL","Build with Aurora DSQL — manage schemas, execute queries, handle migrations, diagnose query plans, load data, and develop applications with a serverless, distributed SQL database. Covers IAM auth, multi-tenant patterns, MySQL-to-DSQL and PostgreSQL-to-DSQL schema conversion, FK replacement code generation, OCC retry patterns, ORM migration (Django\u002FHibernate\u002FRails), DDL operations, query plan explainability, SQL compatibility validation, and bulk data loading. Triggers on phrases like: DSQL, Aurora DSQL, create DSQL table, DSQL schema, migrate to DSQL, distributed SQL database, serverless PostgreSQL-compatible database, DSQL query plan, DSQL EXPLAIN ANALYZE, why is my DSQL query slow, DSQL foreign key, DSQL OCC retry, DSQL multi-region, load into DSQL, load CSV into DSQL, bulk load DSQL, aurora-dsql-loader.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[615,618,619,622,625],{"name":616,"slug":617,"type":16},"Aurora","aurora",{"name":24,"slug":25,"type":16},{"name":620,"slug":621,"type":16},"Database","database",{"name":623,"slug":624,"type":16},"Serverless","serverless",{"name":626,"slug":627,"type":16},"SQL","sql","2026-07-12T08:36:45.053393",{"slug":630,"name":631,"fn":611,"description":612,"org":632,"tags":633,"stars":605,"repoUrl":606,"updatedAt":638},"aurora-dsql","aurora dsql",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[634,635,636,637],{"name":24,"slug":25,"type":16},{"name":620,"slug":621,"type":16},{"name":623,"slug":624,"type":16},{"name":626,"slug":627,"type":16},"2026-07-12T08:36:42.694299",{"slug":640,"name":641,"fn":611,"description":612,"org":642,"tags":643,"stars":605,"repoUrl":606,"updatedAt":651},"aws-dsql","aws dsql",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[644,645,646,649,650],{"name":24,"slug":25,"type":16},{"name":620,"slug":621,"type":16},{"name":647,"slug":648,"type":16},"Migration","migration",{"name":623,"slug":624,"type":16},{"name":626,"slug":627,"type":16},"2026-07-12T08:36:38.584057",{"slug":653,"name":654,"fn":611,"description":612,"org":655,"tags":656,"stars":605,"repoUrl":606,"updatedAt":664},"distributed-postgres","distributed postgres",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[657,658,659,662,663],{"name":24,"slug":25,"type":16},{"name":620,"slug":621,"type":16},{"name":660,"slug":661,"type":16},"PostgreSQL","postgresql",{"name":623,"slug":624,"type":16},{"name":626,"slug":627,"type":16},"2026-07-12T08:36:46.530743",{"slug":666,"name":667,"fn":611,"description":612,"org":668,"tags":669,"stars":605,"repoUrl":606,"updatedAt":674},"distributed-sql","distributed sql",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[670,671,672,673],{"name":24,"slug":25,"type":16},{"name":620,"slug":621,"type":16},{"name":623,"slug":624,"type":16},{"name":626,"slug":627,"type":16},"2026-07-12T08:36:48.104182",{"slug":676,"name":676,"fn":611,"description":612,"org":677,"tags":678,"stars":605,"repoUrl":606,"updatedAt":684},"dsql",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[679,680,681,682,683],{"name":24,"slug":25,"type":16},{"name":620,"slug":621,"type":16},{"name":647,"slug":648,"type":16},{"name":623,"slug":624,"type":16},{"name":626,"slug":627,"type":16},"2026-07-12T08:36:36.374512",{"slug":686,"name":686,"fn":687,"description":688,"org":689,"tags":690,"stars":26,"repoUrl":27,"updatedAt":701},"cost-efficiency-analyzer","analyze cost efficiency and expenses","Analyzes cost structure, cost efficiency, and expense management from P&L data. Use when the user asks about costs, expenses, COGS, operating expenses, cost ratios, cost control, spending efficiency, margin compression from cost side, or wants to understand where money is going. Also use for \"are we spending too much\", \"cost breakdown\", \"expense analysis\", or \"how efficient are our operations\". NOT for revenue or top-line analysis.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[691,694,697,700],{"name":692,"slug":693,"type":16},"Accounting","accounting",{"name":695,"slug":696,"type":16},"Analytics","analytics",{"name":698,"slug":699,"type":16},"Cost Optimization","cost-optimization",{"name":21,"slug":22,"type":16},"2026-07-12T08:40:03.29555",{"slug":4,"name":4,"fn":5,"description":6,"org":703,"tags":704,"stars":26,"repoUrl":27,"updatedAt":28},{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[705,706,707,708],{"name":24,"slug":25,"type":16},{"name":21,"slug":22,"type":16},{"name":14,"slug":15,"type":16},{"name":18,"slug":19,"type":16},{"slug":710,"name":710,"fn":711,"description":712,"org":713,"tags":714,"stars":26,"repoUrl":27,"updatedAt":723},"multi-quarter-trend-analysis","analyze multi-quarter financial trends","Analyzes financial trends across multiple quarters by comparing P&L metrics over time. Use when the user wants to see trends, patterns, trajectories, or directional movement across 3 or more quarters. Also use for \"how are we trending\", \"show me the trend\", \"track performance over time\", \"quarter over quarter comparison across all quarters\", or any multi-period longitudinal analysis.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[715,716,717,720],{"name":695,"slug":696,"type":16},{"name":21,"slug":22,"type":16},{"name":718,"slug":719,"type":16},"Financial Statements","financial-statements",{"name":721,"slug":722,"type":16},"Variance Analysis","variance-analysis","2026-07-12T08:40:00.79141",{"slug":725,"name":725,"fn":726,"description":727,"org":728,"tags":729,"stars":26,"repoUrl":27,"updatedAt":738},"pdf","process and manipulate PDF documents","Use this skill whenever the user wants to do anything with PDF files. This includes reading or extracting text\u002Ftables from PDFs, combining or merging multiple PDFs into one, splitting PDFs apart, rotating pages, adding watermarks, creating new PDFs, filling PDF forms, encrypting\u002Fdecrypting PDFs, extracting images, and OCR on scanned PDFs to make them searchable. If the user mentions a .pdf file or asks to produce one, use this skill.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[730,733,736],{"name":731,"slug":732,"type":16},"Automation","automation",{"name":734,"slug":735,"type":16},"Documents","documents",{"name":737,"slug":725,"type":16},"PDF","2026-07-12T08:41:44.135656",{"slug":740,"name":740,"fn":741,"description":742,"org":743,"tags":744,"stars":26,"repoUrl":27,"updatedAt":753},"quarterly-kpi-calculator","calculate quarterly financial KPIs","Calculates quarterly financial KPIs from P&L data. P&L figures can be provided directly by the user or fetched from the financial data MCP server. Use when the user wants KPI calculations such as Gross Margin %, EBITDA Margin %, Operating Expense Ratio, or Revenue Growth % QoQ. Also use for quarterly performance review, P&L analysis, or interpreting financial ratios against benchmarks.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[745,746,749,750],{"name":692,"slug":693,"type":16},{"name":747,"slug":748,"type":16},"Data Analysis","data-analysis",{"name":21,"slug":22,"type":16},{"name":751,"slug":752,"type":16},"KPI","kpi","2026-07-12T08:39:59.54971",150,{"items":756,"total":186},[757,764,771,778,784,791],{"slug":686,"name":686,"fn":687,"description":688,"org":758,"tags":759,"stars":26,"repoUrl":27,"updatedAt":701},{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[760,761,762,763],{"name":692,"slug":693,"type":16},{"name":695,"slug":696,"type":16},{"name":698,"slug":699,"type":16},{"name":21,"slug":22,"type":16},{"slug":4,"name":4,"fn":5,"description":6,"org":765,"tags":766,"stars":26,"repoUrl":27,"updatedAt":28},{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[767,768,769,770],{"name":24,"slug":25,"type":16},{"name":21,"slug":22,"type":16},{"name":14,"slug":15,"type":16},{"name":18,"slug":19,"type":16},{"slug":710,"name":710,"fn":711,"description":712,"org":772,"tags":773,"stars":26,"repoUrl":27,"updatedAt":723},{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[774,775,776,777],{"name":695,"slug":696,"type":16},{"name":21,"slug":22,"type":16},{"name":718,"slug":719,"type":16},{"name":721,"slug":722,"type":16},{"slug":725,"name":725,"fn":726,"description":727,"org":779,"tags":780,"stars":26,"repoUrl":27,"updatedAt":738},{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[781,782,783],{"name":731,"slug":732,"type":16},{"name":734,"slug":735,"type":16},{"name":737,"slug":725,"type":16},{"slug":740,"name":740,"fn":741,"description":742,"org":785,"tags":786,"stars":26,"repoUrl":27,"updatedAt":753},{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[787,788,789,790],{"name":692,"slug":693,"type":16},{"name":747,"slug":748,"type":16},{"name":21,"slug":22,"type":16},{"name":751,"slug":752,"type":16},{"slug":792,"name":792,"fn":793,"description":794,"org":795,"tags":796,"stars":26,"repoUrl":27,"updatedAt":803},"revenue-growth-analyst","analyze revenue growth patterns","Deep-dives into revenue growth patterns, growth rates, and growth quality. Use when the user asks specifically about revenue growth, top-line performance, sales growth, revenue acceleration or deceleration, growth trajectory, or wants to understand what is driving revenue changes. NOT for cost or margin analysis — this skill is revenue-focused only.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[797,798,799,800],{"name":695,"slug":696,"type":16},{"name":21,"slug":22,"type":16},{"name":18,"slug":19,"type":16},{"name":801,"slug":802,"type":16},"Sales","sales","2026-07-12T08:39:58.217661"]