Data & Analytics

Data analysis, BI, visualization, datasets, statistics, and ML workflows

skills in category: 13,012
pages available: 543

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Showing 1,993–2,016 of 13,012 skills

SiemARouting agent for SIEM & SOAR technologies. Cross-platform expertise in log management, event correlation, detection engineering, normalization, SIGMA rules, and security orchestration. WHEN: \"SIEM comparison\", \"which SIEM\", \"log management\", \"detection engineering\", \"SIGMA rules\", \"security analytics\", \"correlation rules\", \"SOAR platform\", \"security automation\", \"alert triage\". Do NOT use for platform-specific questions -- use the `splunk`, `sentinel`, `elastic-security`,...datagoshellVotes: 0GitHub stars: 4
SailpointAExpert agent for SailPoint IdentityNow and Atlas platform. Provides deep expertise in identity governance, access certifications, lifecycle management, role mining, SOD policies, provisioning connectors, and IdentityAI risk scoring. WHEN: \"SailPoint\", \"IdentityNow\", \"IGA\", \"access certification\", \"role mining\", \"separation of duties\", \"SOD\", \"entitlement management\", \"SailPoint Atlas\", \"IdentityAI\", \"access request\".datarustgoVotes: 0GitHub stars: 4
Cortex XdrAExpert agent for Palo Alto Networks Cortex XDR. Covers XQL query language, BIOC rules, Analytics detection engine, Causality View, Live Terminal, XSOAR integration, and cross-domain XDR correlation with NGFW and Prisma Cloud. WHEN: \"Cortex XDR\", \"Palo Alto XDR\", \"XQL\", \"BIOC rule\", \"XSIAM\", \"Causality View\", \"Live Terminal\", \"Cortex analytics\", \"Palo Alto EDR\".datagoshellVotes: 0GitHub stars: 4
SynapseAAzure Synapse Analytics expert. Deep expertise in dedicated SQL pools, serverless SQL pools, Spark pools, Synapse Pipelines, data integration, and query optimization. WHEN: \"Synapse\", \"Azure Synapse\", \"Synapse Analytics\", \"dedicated SQL pool\", \"serverless SQL pool\", \"Synapse Spark\", \"Synapse Pipeline\", \"Synapse Link\", \"PolyBase\", \"CETAS\", \"distribution Synapse\", \"Synapse workspace\".datapythongoVotes: 0GitHub stars: 4
NeptuneAAmazon Neptune expert. Deep expertise in property graphs, RDF, Gremlin, SPARQL, openCypher, Neptune Analytics, Neptune ML, and graph query optimization. WHEN: \"Neptune\", \"Amazon Neptune\", \"Neptune Database\", \"Neptune Analytics\", \"Gremlin\", \"SPARQL\", \"openCypher\", \"Neptune ML\", \"Neptune Serverless\", \"Neptune graph\", \"RDF triple store\", \"Neptune notebook\".datapythongoVotes: 0GitHub stars: 4
DuckdbADuckDB as a database engine: internals, SQL dialect, storage/indexing, extension system, the Quack remote/client-server protocol, and query optimization/tuning. Use for \"DuckDB\", \"duckdb CLI\", \"embedded OLAP\", \"DuckDB extension\", \"httpfs\", \"spatial\", \"duckdb_fdw\", \"DuckDB WASM\", \"Friendly SQL\", \"DuckDB pivot\", \"duckdb-wasm\", \"DuckDB Quack\", \"quack_serve\", \"DuckDB remote protocol\", \"DuckDB client-server\", \"DuckDB performance tuning\". Do NOT use for DuckDB as an ...datapythonrustVotes: 0GitHub stars: 4
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BigqueryAGoogle BigQuery expert. Deep expertise in columnar storage, slot-based execution, partitioning, clustering, BigQuery ML, BigQuery BI Engine, streaming, and cost optimization. WHEN: \"BigQuery\", \"bq command\", \"BigQuery ML\", \"BQML\", \"BigQuery Storage\", \"BigQuery slots\", \"BigQuery editions\", \"INFORMATION_SCHEMA BigQuery\", \"BigQuery Omni\", \"BigLake\", \"BigQuery Studio\".datapythongoVotes: 0GitHub stars: 4
Power BiAMicrosoft Power BI expert. Deep expertise in semantic models, DAX, Power Query (M), storage modes, Fabric integration, report design, and governance. WHEN: \"Power BI\", \"Power BI Desktop\", \"Power BI Service\", \"DAX\", \"DAX formula\", \"DAX measure\", \"CALCULATE\", \"filter context\", \"row context\", \"Power Query\", \"M language\", \"query folding\", \"VertiPaq\", \"DirectQuery\", \"Direct Lake\", \"semantic model\", \"Power BI dataset\", \"Power BI report\", \"Power BI dashboard\", \...datajavascriptgoVotes: 0GitHub stars: 4
MetabaseAMetabase expert. Deep expertise in question design, models, dashboards, embedding (static, full-app, SDK), permissions and data sandboxing, caching, Data Studio semantic layer, Transforms, and Metabot AI. WHEN: \"Metabase\", \"Metabase question\", \"Metabase query builder\", \"Metabase SQL\", \"Metabase model\", \"Metabase dashboard\", \"Metabase embed\", \"Metabase SDK\", \"Metabase embedding\", \"static embedding\", \"guest embed\", \"full-app embedding\", \"Metabase permissions\", \"data s...datapythongoVotes: 0GitHub stars: 4
LookerAGoogle Cloud Looker expert. Deep expertise in LookML semantic modeling, Explores, derived tables, caching with datagroups, embedded analytics, governance, Git-based development workflows, and Gemini AI integration. WHEN: \"Looker\", \"LookML\", \"LookML model\", \"LookML view\", \"LookML explore\", \"LookML refinement\", \"LookML extends\", \"Looker Explore\", \"Looker dashboard\", \"Looker embed\", \"Looker SDK\", \"Looker API\", \"Looker Studio\", \"Looker Studio Pro\", \"Open SQL Interface...datajavascripttypescriptVotes: 0GitHub stars: 4
Google SheetsABuild and edit Google Sheets with the google-sheets tools - values, formatting, charts, conditional formatting, structure, validation, named and protected ranges. Use when creating a spreadsheet or dashboard, formatting cells, adding or fixing charts, or reorganizing tabs and rows.datagoapiVotes: 0GitHub stars: 9,086
NotebookALoad before you edit or run notebook cells in chat. Covers the notebook tools, the sp SDK, governed queries, files, and charts.datapythongoVotes: 0GitHub stars: 485
Shopify Store PerformanceBUse for Shopify store questions like "how did the store do last month", "why did our store revenue drop", "what's our store's average order value", "how many orders did the shop take last week", "what's our store's refund rate", or a weekly or monthly trading check on the shop — even when the user never says "performance". Use when the decision is whether store revenue moved and which of orders, order size or returns moved it. Shopify only.datagoreactVotes: 0GitHub stars: 35
Shopify Repeat Purchase And RetentionBUse for "what's our repeat rate", "do customers come back", "which campaign brings customers who buy again", "what's our customer lifetime value", "how long until the second order", "do discounted customers stick around", "are our cohorts getting worse", or "how much revenue comes from repeat customers" — even when the user never says "retention" or "cohort". Use when the decision is where acquisition money goes, or when retention email timing needs a number. Shopify only.datagoperformanceVotes: 0GitHub stars: 35
Shopify Product And Variant SalesBUse for "which products are selling", "what are my best sellers", "which variants should I drop", "what's my margin by product", "which size sells", "how did the launch do", "what's my revenue concentration", or "sales by vendor" — even when the user never says "variant". Use when the decision is what to reorder, drop, promote or mark down, or when a store-level move needs tracing to the products behind it. Shopify only.datagoperformanceVotes: 0GitHub stars: 35
Shopify Inventory And Stockout RiskBUse for "what's about to run out", "what should I reorder", "when do I need to place the order", "how much stock do I have", "what's my inventory worth", "which SKUs are overstocked", "how much cash is sitting in dead stock", or "what's my sell-through" — even when the user never says "inventory". Use when the decision is what to order and by when, or whether a sales fall is a stock problem rather than a demand problem. Shopify only.datarustgoVotes: 0GitHub stars: 35
Nist Stat HandbookAKnowledge base from the NIST/SEMATECH e-Handbook of Statistical Methods (NIST HB 151) — the practical statistics reference for engineering, metrology, and quality. Use for: exploratory data analysis and the four univariate assumptions (4-plot); measurement process characterization including bias/precision, calibration designs, gauge R&R, and ISO/GUM uncertainty budgets; production process characterization (stability vs. capability); process modeling and regression (LS/WLS/NLS/LOESS); design o...datagotestingVotes: 0GitHub stars: 6
ReleaseACut a new cccost-dashboard release — version bump, CHANGELOG entry, release commit, git tag, GitHub release, npm publish (CI), and VS Code Marketplace publish. Use when the user says "new release", "cut a release", "ship vX.Y.Z", "bump the version", "publish to npm", "publish the extension", or asks what version the next release should be.databashnodeVotes: 0GitHub stars: 7
Loop WatchdogALane 1 of the loop. Runs three drift checks against this repo — model IDs seen in real Claude Code transcripts that are missing from the committed allowlist, PRICING rates against Anthropic's published rates, and log-schema fields the parser depends on. Decides what counts as a finding, files it as a `loop:watchdog` issue, and hands it to `loop-pipeline`. Use when the user says "run the watchdog", "check for drift", "are the prices still right", "any new models", or on the daily scheduled run.datagoVotes: 0GitHub stars: 7
Loop PlanAPhase 6 of the loop. Executes an approved implementation plan task-by-task after a maintainer applies `loop:build` to its design PR. Delegates to superpowers:subagent-driven-development, runs `npm run verify` between tasks, and ticks the plan's checkboxes as it goes. Use when a design PR is labelled `loop:build`, or when the user says "execute the approved plan", "build the design in PR 12", or "run the plan".datagonodeVotes: 0GitHub stars: 7
Loop IssueALane 2 of the loop. Takes exactly one GitHub issue that a maintainer has labelled `loop:go`, classifies it, and either builds it (bug or docs) or hands it to `loop-design` (feature). Use when the user says "run the autopilot on #12", "work the labelled issue", "loop this issue", or when the label-gated workflow fires. Acts on one issue only — it does not sweep the backlog.datagogitVotes: 0GitHub stars: 7
Loop DesignAPhase 5 of the loop. Authors a spec and an implementation plan for a feature issue, commits both to a loop branch, and opens a docs-only draft PR that stops at gate 2. Use when `loop-issue` classifies an issue as a feature, when the user says "design issue 12", "write the spec and plan for this", or when a maintainer comments on a design PR asking for revisions.datagogitVotes: 0GitHub stars: 7
Issue To PrATriage the GitHub issues on this repo (cccost-dashboard), judge which are real bugs or worth-building features, then implement the one you pick — TDD, green CI, branch, PR. Use when the user says "check the issues", "triage the issues", "what's in the backlog", "anything worth fixing", "implement issue 12", "fix #12", "work on that issue", or pastes an issue URL. Also use when the user asks whether a reported issue is real, reproducible, or in scope.datagobashVotes: 0GitHub stars: 7
RunARun a single-point energy/forces calculation or structure relaxation with any oh-my-mlip MLIP. Triggers on requests to run, compute, calculate, or relax a structure with a specific model (MACE, SevenNet, NequIP, ORB, etc.) via oh-my-mlip. Also triggers on GENERIC natural-language compute intent — "single-point this structure with an MLIP", "relax this POSCAR with a machine-learning (interatomic) potential / ML force field" — even when no specific model and no "oh-my-mlip" is named; when no mo...datagoshellVotes: 0GitHub stars: 3