{ "schemaVersion": "1.0", "item": { "slug": "excel-weekly-dashboard", "name": "Excel weekly dashboards at scale", "source": "tencent", "type": "skill", "category": "数据分析", "sourceUrl": "https://clawhub.ai/KOwl64/excel-weekly-dashboard", "canonicalUrl": "https://clawhub.ai/KOwl64/excel-weekly-dashboard", "targetPlatform": "OpenClaw" }, "install": { "downloadMode": "redirect", "downloadUrl": "/downloads/excel-weekly-dashboard", "sourceDownloadUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=excel-weekly-dashboard", "sourcePlatform": "tencent", "targetPlatform": "OpenClaw", "installMethod": "Manual import", "extraction": "Extract archive", "prerequisites": [ "OpenClaw" ], "packageFormat": "ZIP package", "includedAssets": [ "SKILL.md", "assets/power-query-folder-ingest-template.pq.md", "assets/refresh-checklist.md" ], "primaryDoc": "SKILL.md", "quickSetup": [ "Download the package from Yavira.", "Extract the archive and review SKILL.md first.", "Import or place the package into your OpenClaw setup." ], "agentAssist": { "summary": "Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.", "steps": [ "Download the package from Yavira.", "Extract it into a folder your agent can access.", "Paste one of the prompts below and point your agent at the extracted folder." ], "prompts": [ { "label": "New install", "body": "I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete." }, { "label": "Upgrade existing", "body": "I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run." } ] }, "sourceHealth": { "source": "tencent", "status": "healthy", "reason": "direct_download_ok", "recommendedAction": "download", "checkedAt": "2026-04-23T16:43:11.935Z", "expiresAt": "2026-04-30T16:43:11.935Z", "httpStatus": 200, "finalUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=4claw-imageboard", "contentType": "application/zip", "probeMethod": "head", "details": { "probeUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=4claw-imageboard", "contentDisposition": "attachment; filename=\"4claw-imageboard-1.0.1.zip\"", "redirectLocation": null, "bodySnippet": null }, "scope": "source", "summary": "Source download looks usable.", "detail": "Yavira can redirect you to the upstream package for this source.", "primaryActionLabel": "Download for OpenClaw", "primaryActionHref": "/downloads/excel-weekly-dashboard" }, "validation": { "installChecklist": [ "Use the Yavira download entry.", "Review SKILL.md after the package is downloaded.", "Confirm the extracted package contains the expected setup assets." ], "postInstallChecks": [ "Confirm the extracted package includes the expected docs or setup files.", "Validate the skill or prompts are available in your target agent workspace.", "Capture any manual follow-up steps the agent could not complete." ] }, "downloadPageUrl": "https://openagent3.xyz/downloads/excel-weekly-dashboard", "agentPageUrl": "https://openagent3.xyz/skills/excel-weekly-dashboard/agent", "manifestUrl": "https://openagent3.xyz/skills/excel-weekly-dashboard/agent.json", "briefUrl": "https://openagent3.xyz/skills/excel-weekly-dashboard/agent.md" }, "agentAssist": { "summary": "Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.", "steps": [ "Download the package from Yavira.", "Extract it into a folder your agent can access.", "Paste one of the prompts below and point your agent at the extracted folder." ], "prompts": [ { "label": "New install", "body": "I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete." }, { "label": "Upgrade existing", "body": "I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run." } ] }, "documentation": { "source": "clawhub", "primaryDoc": "SKILL.md", "sections": [ { "title": "PURPOSE", "body": "Designs refreshable Excel dashboards (Power Query + structured tables + validation + pivot reporting)." }, { "title": "WHEN TO USE", "body": "TRIGGERS:\n\nBuild me a Power Query pipeline for this file so it refreshes weekly with no manual steps.\nTurn this into a structured table with validation lists and clean data entry rules.\nCreate a pivot-driven weekly dashboard with slicers for year and ISO week.\nFix this Excel model so refresh does not break when new columns appear.\nDesign a reusable KPI pack that updates from a folder of CSVs.\n\n\nDO NOT USE WHEN…\n\nYou need advanced forecasting/valuation modeling (this skill is for repeatable reporting pipelines).\nYou need a BI tool build (Power BI/Tableau) rather than Excel.\nYou need web scraping as the primary ingestion method." }, { "title": "INPUTS", "body": "REQUIRED:\n\nSource data file(s): CSV, XLSX, DOCX-exported tables, or PDF-exported tables (provided by user).\nDefinition of ‘week’ (ISO week preferred) and the KPI fields required.\n\n\nOPTIONAL:\n\nData dictionary / column definitions.\nKnown “bad data” patterns to validate (e.g., blank PayNumber, invalid dates).\nExisting workbook to refactor.\n\n\nEXAMPLES:\n\nFolder of weekly CSV exports: exports/2026-W02/*.csv\nSingle XLSX dump with changing columns month to month" }, { "title": "OUTPUTS", "body": "If asked for plan only (default): a step-by-step build plan + Power Query steps + sheet layout + validation rules.\nIf explicitly asked to generate artifacts:\n\nworkbook_spec.md (workbook structure and named tables)\npower_query_steps.pq (M code template)\nrefresh-checklist.md (from assets/)\nSuccess = refresh works after adding a new week’s files without manual edits, and validation catches bad rows." }, { "title": "WORKFLOW", "body": "Identify source type(s) (CSV/XLSX/DOCX/PDF-export) and the stable business keys (e.g., PayNumber).\nDefine the canonical table schema:\n\nrequired columns, types, allowed values, and “unknown” handling.\n\n\nDesign ingestion with Power Query:\n\nPrefer Folder ingest + combine, with defensive “missing column” handling.\nNormalize column names (trim, case, collapse spaces).\n\n\nDesign cleansing & validation:\n\nCreate a Data_Staging query (raw-normalized) and Data_Clean query (validated).\nAdd validation columns (e.g., IsValidPayNumber, IsValidDate, IssueReason).\n\n\nBuild reporting layer:\n\nPivot table(s) off Data_Clean\nSlicers: Year, ISOWeek; plus operational dimensions\n\n\nAdd a “Refresh Status” sheet:\n\nlast refresh timestamp, row counts, query error flags, latest week present\n\n\nSTOP AND ASK THE USER if:\n\nrequired KPIs/columns are unspecified,\nthe source files don’t include any stable key,\nweek definition/timezone rules are unclear,\nPDF/DOCX tables are not reliably extractable without a provided export." }, { "title": "OUTPUT FORMAT", "body": "When producing a plan, use this template:\n\nWORKBOOK PLAN\n- Sheets:\n - Data_Staging (query output)\n - Data_Clean (query output + validation flags)\n - Dashboard (pivots/charts)\n - Refresh_Status (counts + health checks)\n- Canonical Schema:\n - : | Required? | Validation\n- Power Query:\n - Query 1: Ingest_ (Folder/File)\n - Query 2: Clean_\n - Key transforms: \n- Validation rules:\n - -> \n- Pivot design:\n - Rows/Columns/Values\n - Slicers\n\nIf asked for artifacts, also output:\n\nassets/power-query-folder-ingest-template.pq (adapted)\nassets/refresh-checklist.md" }, { "title": "SAFETY & EDGE CASES", "body": "Read-only by default: provide a plan + snippets unless the user explicitly requests file generation.\nNever delete or overwrite user files; propose new filenames for outputs.\nPrefer “no silent failure”: include row-count checks and visible error flags.\nFor PDF/DOCX sources, require user-provided exported tables (CSV/XLSX) or clearly mark extraction risk." }, { "title": "EXAMPLES", "body": "Input: “Folder of weekly CSVs with PayNumber/Name/Date.”\nOutput: Folder-ingest PQ template + schema + Refresh Status checks + pivot dashboard plan.\n\n\nInput: “Refresh breaks when new columns appear.”\nOutput: Defensive missing-column logic + column normalization + typed schema plan." } ], "body": "Excel weekly dashboards at scale\nPURPOSE\n\nDesigns refreshable Excel dashboards (Power Query + structured tables + validation + pivot reporting).\n\nWHEN TO USE\nTRIGGERS:\nBuild me a Power Query pipeline for this file so it refreshes weekly with no manual steps.\nTurn this into a structured table with validation lists and clean data entry rules.\nCreate a pivot-driven weekly dashboard with slicers for year and ISO week.\nFix this Excel model so refresh does not break when new columns appear.\nDesign a reusable KPI pack that updates from a folder of CSVs.\nDO NOT USE WHEN…\nYou need advanced forecasting/valuation modeling (this skill is for repeatable reporting pipelines).\nYou need a BI tool build (Power BI/Tableau) rather than Excel.\nYou need web scraping as the primary ingestion method.\nINPUTS\nREQUIRED:\nSource data file(s): CSV, XLSX, DOCX-exported tables, or PDF-exported tables (provided by user).\nDefinition of ‘week’ (ISO week preferred) and the KPI fields required.\nOPTIONAL:\nData dictionary / column definitions.\nKnown “bad data” patterns to validate (e.g., blank PayNumber, invalid dates).\nExisting workbook to refactor.\nEXAMPLES:\nFolder of weekly CSV exports: exports/2026-W02/*.csv\nSingle XLSX dump with changing columns month to month\nOUTPUTS\nIf asked for plan only (default): a step-by-step build plan + Power Query steps + sheet layout + validation rules.\nIf explicitly asked to generate artifacts:\nworkbook_spec.md (workbook structure and named tables)\npower_query_steps.pq (M code template)\nrefresh-checklist.md (from assets/) Success = refresh works after adding a new week’s files without manual edits, and validation catches bad rows.\nWORKFLOW\nIdentify source type(s) (CSV/XLSX/DOCX/PDF-export) and the stable business keys (e.g., PayNumber).\nDefine the canonical table schema:\nrequired columns, types, allowed values, and “unknown” handling.\nDesign ingestion with Power Query:\nPrefer Folder ingest + combine, with defensive “missing column” handling.\nNormalize column names (trim, case, collapse spaces).\nDesign cleansing & validation:\nCreate a Data_Staging query (raw-normalized) and Data_Clean query (validated).\nAdd validation columns (e.g., IsValidPayNumber, IsValidDate, IssueReason).\nBuild reporting layer:\nPivot table(s) off Data_Clean\nSlicers: Year, ISOWeek; plus operational dimensions\nAdd a “Refresh Status” sheet:\nlast refresh timestamp, row counts, query error flags, latest week present\nSTOP AND ASK THE USER if:\nrequired KPIs/columns are unspecified,\nthe source files don’t include any stable key,\nweek definition/timezone rules are unclear,\nPDF/DOCX tables are not reliably extractable without a provided export.\nOUTPUT FORMAT\n\nWhen producing a plan, use this template:\n\nWORKBOOK PLAN\n- Sheets:\n - Data_Staging (query output)\n - Data_Clean (query output + validation flags)\n - Dashboard (pivots/charts)\n - Refresh_Status (counts + health checks)\n- Canonical Schema:\n - : | Required? | Validation\n- Power Query:\n - Query 1: Ingest_ (Folder/File)\n - Query 2: Clean_\n - Key transforms: \n- Validation rules:\n - -> \n- Pivot design:\n - Rows/Columns/Values\n - Slicers\n\n\nIf asked for artifacts, also output:\n\nassets/power-query-folder-ingest-template.pq (adapted)\nassets/refresh-checklist.md\nSAFETY & EDGE CASES\nRead-only by default: provide a plan + snippets unless the user explicitly requests file generation.\nNever delete or overwrite user files; propose new filenames for outputs.\nPrefer “no silent failure”: include row-count checks and visible error flags.\nFor PDF/DOCX sources, require user-provided exported tables (CSV/XLSX) or clearly mark extraction risk.\nEXAMPLES\n\nInput: “Folder of weekly CSVs with PayNumber/Name/Date.”\nOutput: Folder-ingest PQ template + schema + Refresh Status checks + pivot dashboard plan.\n\nInput: “Refresh breaks when new columns appear.”\nOutput: Defensive missing-column logic + column normalization + typed schema plan." }, "trust": { "sourceLabel": "tencent", "provenanceUrl": "https://clawhub.ai/KOwl64/excel-weekly-dashboard", "publisherUrl": "https://clawhub.ai/KOwl64/excel-weekly-dashboard", "owner": "KOwl64", "version": "1.0.0", "license": null, "verificationStatus": "Indexed source record" }, "links": { "detailUrl": "https://openagent3.xyz/skills/excel-weekly-dashboard", "downloadUrl": "https://openagent3.xyz/downloads/excel-weekly-dashboard", "agentUrl": "https://openagent3.xyz/skills/excel-weekly-dashboard/agent", "manifestUrl": "https://openagent3.xyz/skills/excel-weekly-dashboard/agent.json", "briefUrl": "https://openagent3.xyz/skills/excel-weekly-dashboard/agent.md" } }