Data & Analytics

meaningfy-ws Bundle

The operational LinkML craft, downstream of an existing model or spec — never greenfield. Use to derive a LinkML schema from a UML model, a text spec, a model2owl output, or another existing model; to author/refine it (reusable slots, the URI-as-datatype artifice, implicit class_uri/slot_uri, enums, schema-level constraints); to generate the full target set (Pydantic/JSON Schema/OWL/SHACL/TS/SQL) with custom templates and make-target automation including diagrams; and to establish LinkML quality gates. Trigger on "write/derive a LinkML schema", "generate models/OWL/SHACL from LinkML", "custom Pydantic template", "LinkML quality gates", "per-module generation", "make generate-models". Reuses modelling-conventions for generic craft; defers the model concept to conceptual-modelling. Not an ontology-authoring skill.

langwatch Skill

Author a saved analytics chart from a plain question and place it on a dashboard. Discovers the LangWatchQL analytics schema, writes and test-runs the SQL, saves it as a chart with a Vega-Lite specification, and places it where the team already looks. Use when asked to build, save, run, or dashboard a metric or chart.

sgcarstrends Skill

Security auditing for code vulnerabilities (OWASP Top 10, XSS, SQL injection) and dependency scanning (pnpm audit, Snyk). Use when handling user input, adding authentication, before deployments, or resolving CVEs.

sgcarstrends Skill

Security auditing for code vulnerabilities (OWASP Top 10, XSS, SQL injection) and dependency scanning (pnpm audit, Snyk). Use when handling user input, adding authentication, before deployments, or resolving CVEs.

sgcarstrends Bundle

Add PostHog product analytics events to track user behavior. Use after implementing new features or reviewing PRs to ensure meaningful user actions are captured. Also handles initial PostHog SDK setup if not yet installed.

ninehills Skill

Use this skill any time a .xlsx file is involved -- as input, output, or both. This includes: creating spreadsheets, financial models, dashboards, or trackers; reading, parsing, or extracting data from any .xlsx file; editing, modifying, or updating existing workbooks; working with formulas, charts, pivot tables, or templates; importing CSV/TSV data into Excel format. Trigger whenever the user mentions 'spreadsheet', 'workbook', 'Excel', 'financial model', 'tracker', 'dashboard', or references a .xlsx/.csv filename.

ninehills Skill

Use this skill to build a multi-element Excel dashboard — Dashboard sheet on open, multiple formula-driven KPI cards, multiple charts, sparklines, and conditional formatting — from CSV or tabular input. Trigger on: 'dashboard', 'KPI dashboard', 'analytics dashboard', 'executive dashboard', 'metrics dashboard', 'CSV to dashboard', 'data visualization'. Output is a single .xlsx. Scene-layer on officecli-xlsx: inherits every xlsx hard rule. DO NOT invoke for: a single budget tracker / one-sheet CSV-with-formatting (use xlsx), a 3-statement / DCF / LBO financial model (use financial-model), a weekly report with ≤ 1 chart and < 10 rows (use xlsx).

ninehills Skill

Use this skill when the user wants to build a financial model — 3-statement model, DCF valuation, LBO, SaaS unit economics, sensitivity / scenario analysis, debt schedule, or fundraising projections — in Excel. Trigger on: 'financial model', '3-statement model', 'P&L + BS + CF', 'DCF', 'WACC', 'NPV', 'terminal value', 'LBO', 'debt schedule', 'cash sweep', 'MOIC', 'IRR / XIRR', 'sensitivity table', 'scenario analysis', 'ARR model', 'unit economics', 'CAC / LTV', 'cap table forecast'. Output is a single formula-driven .xlsx. This skill is a scene layer on top of officecli-xlsx — it inherits every xlsx v2 rule (4-color code, visual floor, number formats, cache-drift, Known Issues, Delivery Gate minimum cycle). DO NOT invoke for a simple budget tracker, CSV dump, or operational KPI sheet — route those to officecli-xlsx base.

ils15 Skill

Optimize SQL queries, indexes, and identify N+1 problems. Use for database performance and migration review.

georgekhananaev Bundle

Comprehensive spreadsheet creation, editing, and analysis with support for formulas, formatting, data analysis, and visualization. When Claude needs to work with spreadsheets (.xlsx, .xlsm, .csv, .tsv, etc) for: (1) Creating new spreadsheets with formulas and formatting, (2) Reading or analyzing data, (3) Modify existing spreadsheets while preserving formulas, (4) Data analysis and visualization in spreadsheets, or (5) Recalculating formulas

practice019 Bundle

Build a durable analytical report with an answer-first narrative, evidence-backed findings, charts or tables, caveats, recommendations, and source context.

practice019 Bundle

Prepare KPI readouts, scorecards, WBR/MBR/QBR updates, and executive summaries from quantitative business or product metrics; use when the task is to report status, compare against targets, explain validated drivers, and state operating implications.

practice019 Bundle

Design, create, revise, or QA quantitative charts and figures for reports, dashboards, notebooks, slides, files, or inline analytical answers.

practice019 Bundle

Build a source-backed dashboard or monitoring view with clear metrics, filters, visual hierarchy, definitions, refresh context, and QA.

practice019 Bundle

Assess whether structured data, query results, dashboards, or analytical evidence are trustworthy enough to use. Use when the task is to check data quality, reconcile conflicting sources or metric definitions, or decide whether evidence is safe to cite.

practice019 Bundle

Narrow conversion skill. Invoke only when the user explicitly asks to convert an existing Data Analytics report, dashboard, or inline chart export into a PDF artifact.

blurjp Bundle

Spreadsheet toolkit (.xlsx/.csv). Create/edit with formulas/formatting, analyze data, visualization, recalculate formulas, for spreadsheet processing and analysis.

fierzone Bundle

Security standards for Go backend services (Input Validation, Crypto, SQL Injection Prevention).

fierzone Bundle

Standards for multi-language support using easy_localization and JSON/CSV assets.

jackspace Bundle

Fast DataFrame library (Apache Arrow). Select, filter, group_by, joins, lazy evaluation, CSV/Parquet I/O, expression API, for high-performance data analysis workflows.

jackspace Bundle

Benchling R&D platform integration. Access registry (DNA, proteins), inventory, ELN entries, workflows via API, build Benchling Apps, query Data Warehouse, for lab data management automation.

jahidulislamseo Skill

When the user wants a technical site audit, crawl data analysis, location page quality checks, duplicate content detection, schema validation at scale, or internal linking analysis. Trigger on "Screaming Frog," "site crawl," "technical audit," "crawl data," "broken links," "duplicate content," "location page audit," or when analyzing exported crawl CSV/Excel files.

jahidulislamseo Skill

When the user wants traffic data, conversion tracking, user behavior on location pages, GBP traffic attribution, or geographic traffic patterns. Trigger on "Google Analytics," "GA4," "traffic," "conversions," "how many leads," "phone calls," "form submissions," "where is my traffic coming from," or "is my website converting."

open-edge-platform Skill

Benchmarks a trained Physical AI Studio policy in a simulation gym and reports success metrics. Use when running physicalai benchmark, editing configs under library/configs/benchmark, adding or changing a Benchmark class in physicalai.benchmark, tuning rollout/episode/env settings, recording rollout videos, or interpreting results.json / results.csv.

thinkoodle Bundle

Expert guidance for writing secure Rails applications. Use when dealing with security, CSRF protection, XSS prevention, SQL injection, authentication, authorization, sanitize, html_safe, credentials, secrets, content security policy, session security, mass assignment, strong parameters, secure headers, file uploads, open redirects, or vulnerability remediation. Covers every major attack vector and the Rails-idiomatic defenses.

tencentcloudbase Skill

[Deprecated] This is the required documentation for agents operating on the CloudBase Relational Database through MCP. It defines the canonical SQL management flow with `queryMysqlDatabase`, `manageMysqlDatabase`, `queryPermissions`, and `managePermissions`, including MySQL provisioning, destroy flow, async status checks, safe query execution, schema initialization, and permission updates. New environments should use PostgreSQL — see postgresql-development skill instead.

tencentcloudbase Bundle

Use CloudBase document database Web SDK only for confirmed NoSQL collection work. Query, create, update, and delete document data; if the task mentions PostgreSQL / CloudBase PG / app.rdb(), route to postgresql-development instead.

tencentcloudbase Bundle

Use CloudBase document database WeChat MiniProgram SDK to query, create, update, and delete data. Supports complex queries, pagination, aggregation, and geolocation queries.

cfregly Skill

Capture any performance measurement (NCCL bandwidth, MFU, step-time, latency, throughput, kernel-time, anything operator-defined) into a versioned baseline registry under experiments/artifacts/perf-baselines/. Workload-agnostic. Records full provenance (operator, cluster, cohort, git SHA, capture command, raw payload sha256) so future regressions can be diffed deterministically by the paired perf-baseline-diff skill. Triggers on "record baseline", "register baseline", "baseline this measurement", "save as baseline", "perf-baseline-record", "baseline perf-of-record", or any combination of "record / register / save / capture / store" with "baseline / golden / reference / perf-of-record".

cfregly Skill

Reusable wrapper for the knowledge-base-first SQL pattern, adapted to the zymtrace ClickHouse profiling backend. Operator names the metric / question / time range. Skill anchors the `zymtrace_profiling.events` schema first (DESCRIBE + label-value + cardinality probes), derives the safe narrow SQL, runs it via `kubectl port-forward` + `curl -X POST`, and saves the raw payload to a provenance-bearing bundle per the perf-lake-contract. Workload-agnostic. The ClickHouse cousin of `prometheus-anchored-query`. Triggers on "zymtrace anchored query", "clickhouse anchored query", "zymtrace query", "save zymtrace payload", "anchored zymtrace", "anchored clickhouse", or any combination of "zymtrace / clickhouse / profile" with "anchored / safe / provenance / query / saved-payload".

cfregly Skill

Capture per-kernel CUDA profile data from a live vLLM inference pod via an nsys debug sidecar (no production image rebuild). Outputs `.nsys-rep` + summary CSV + top-kernels table that joins with the zymtrace per-kernel breakdown and the inference-perf-bench bundle's `inference_perfbench_v1.json`. Triggers on "kernel profile", "nsys profile", "what's in the native bucket", "per-kernel breakdown", "ncu", "Nsight Systems", "kernel-level analysis", or any combination of "profile / capture / nsys / ncu" with "vllm / kimi / glm / deepseek".

cfregly Skill

Capture per-kernel CUDA hardware-counter data (occupancy, achieved warps active, regs/thread, smem/block, DRAM throughput, arithmetic intensity, branch divergence %, warp-stall reason %) from a live vLLM inference pod via an `ncu` debug sidecar (no production image rebuild). Outputs `.ncu-rep` + per-kernel CSV. Scoped via `--kernel-name` to avoid the 10-100x kernel-replay slowdown that an unscoped ncu attach would impose on serving. Pairs with `inference-kernel-profile` (nsys: absolute kernel duration + cuda-graph timeline) and `zymtrace-anchored-query` (sample- share + kernel-name resolution). Triggers on "ncu", "nsight compute", "kernel internals", "occupancy", "register pressure", "shared memory", "DRAM bandwidth", "roofline", "arithmetic intensity", "warp stalls", "branch divergence", or any combination of "ncu / nsight-compute / occupancy / regs / smem / dram / roofline" with "vllm / kimi / glm / deepseek / inference".

chuanyue98 Bundle

小红书个人笔记数据复盘——基于用户自己创作者后台（创作中心/蒲公英）的笔记数据，做漏斗定位、卡点归因和多篇横向规律发现。当用户说"笔记数据复盘""这条为什么没流量""帮我看看这条数据""小红书数据分析""曝光高但没人点""涨粉不行""哪类内容该加码""我导出了后台数据帮我看看"，或直接贴出后台数据截图/CSV/Excel/几个数字时使用。只分析用户自己账号的笔记表现，不抓取平台数据、不做刷量。

khaitrang1995 Skill

Generate ERD .drawio — entities, attributes, 1-1/1-N/N-N relationships, PK/FK. Hand-authored XML with TechSphereX AI palette; complex SQL DDL → /diagram --from-sql.

dmccreary Bundle

Installs and configures intelligent-textbook infrastructure - scaffold a brand-new MkDocs Material textbook (init textbook), install any of 40 features (math, mascot, learning graph viewer, Google Analytics GA4, custom 404, kanban board), and generate book metrics. Routes to the appropriate installation guide.

dmccreary Skill

Wires Google Analytics 4 into an MkDocs Material site — creates a GA4 property, writes the Measurement ID into mkdocs.yml, verifies the tag, and deploys. Use when adding analytics to a textbook for the first time.