Data & Analytics

kayforkind Skill

Designs cross-service flows: signed webhooks, API chaining, CloudEvents, choreography sagas, and transactional outbox publishing. Trigger on Kafka/Pub/Sub, ETL pipelines, or compensating transactions. Do not use for a single-API CRUD wrapper with no integration logic.

kayforkind Skill

Writes and runs k6 load tests for HTTP APIs, WebSockets, and browser scenarios, covering smoke/load/stress/spike/soak profiles, thresholds, and CI regression. Use when validating SLA budgets or comparing release behavior under synthetic load. Not for WebGL frame-budget tuning (webgl-performance-tuning), Monte Carlo warehouse-query diagnosis, or unit/property tests (fast-check).

kayforkind Skill

Writes Python inside n8n Code nodes using _input/_json/_node helpers, the standard library only, and a return of list-of-json dicts. Use when the Code node language is Python, or when choosing Python vs JavaScript for n8n. Not for JavaScript Code nodes (n8n-code-javascript) or {{ }} expressions (n8n-expression-syntax). Do not import pandas or requests; those packages are unavailable.

officecli Bundle

Use when an OpenClaw user clearly wants a local Office or image artifact such as a PPTX, DOCX, XLSX, Report, or IMG, and route the request through officecli agent-bridge instead of parsing human CLI output.

travisjneuman Skill

ETL/ELT pipelines, data warehousing (BigQuery, Snowflake, Redshift), stream processing (Kafka, Spark Streaming), orchestration (Airflow, Dagster, Prefect), dbt transformations, and data lake architecture. Use when building data pipelines, designing warehouse schemas, or implementing real-time data processing.

hkuds Skill

Complete CLI harness for FreeCAD parametric 3D CAD modeler (258 commands). Covers ALL workbenches: Part (29 primitives + boolean + mirror + loft + sweep), Sketcher (26 cmds: geometry + constraints + editing), PartDesign (38 cmds: pad/pocket/groove/fillet/chamfer/patterns/hole/datum), Assembly (11 cmds), Mesh (16 cmds), TechDraw (15 cmds: views + dimensions + PDF/SVG), Draft (33 cmds: 2D shapes + arrays + transforms), FEM (12 cmds), CAM/CNC (10 cmds), Surface (6 cmds), Spreadsheet (7 cmds), Import (13 formats), Export (17 formats), Measure (12 cmds), Materials (21 presets). Headless FreeCAD export to STEP/IGES/STL/OBJ/DXF/PDF/glTF/3MF.

gabrielmoreira Bundle

Distributed computing for larger-than-RAM pandas/NumPy workflows. Use when you need to scale existing pandas/NumPy code beyond memory or across clusters. Best for parallel file processing, distributed ML, integration with existing pandas code. For out-of-core analytics on single machine use vaex; for in-memory speed use polars.

gabrielmoreira Bundle

Use this skill for processing and analyzing large tabular datasets (billions of rows) that exceed available RAM. Vaex excels at out-of-core DataFrame operations, lazy evaluation, fast aggregations, efficient visualization of big data, and machine learning on large datasets. Apply when users need to work with large CSV/HDF5/Arrow/Parquet files, perform fast statistics on massive datasets, create visualizations of big data, or build ML pipelines that do not fit in memory.

kid-sid Bundle

Use when building or debugging data pipelines with Airflow or Prefect, writing dbt models or tests, designing incremental loads, implementing idempotent ETL/ELT jobs, validating data quality, or orchestrating multi-step data workflows.

nyldn Bundle

Convert markdown to DOCX, PPTX, XLSX, PDF office documents — use when you need exportable deliverables

samber Bundle

Comprehensive guide for Go database access — parameterized queries, struct scanning, NULLable columns, transactions, isolation levels, SELECT FOR UPDATE, connection pool, batch processing, context propagation, and migration tooling. Use when writing, reviewing, or debugging Golang code that interacts with PostgreSQL, MariaDB, MySQL, or SQLite; for database testing; or for questions about database/sql, sqlx, or pgx. Does NOT generate database schemas or migration SQL.

samber Bundle

Security best practices and vulnerability prevention for Golang — injection (SQL, command, XSS), cryptography, path traversal, SSRF and HTTP security headers, cookies, secrets management, memory safety, PII in logs, STRIDE/DREAD threat modeling, plus `gosec` SAST, race detection, and fuzz testing. Apply when writing, reviewing, or auditing Go code for security, or when touching crypto, file or network I/O, secrets, user input, or authentication. Not for non-exploitable defensive bugs such as nil panics or slice aliasing (→ See `samber/cc-skills-golang@golang-safety` skill), dependency vulnerability scanning with govulncheck (→ See `samber/cc-skills-golang@golang-dependency-management` skill), or wiring security scanners into CI pipelines (→ See `samber/cc-skills-golang@golang-continuous-integration` skill).

travisjneuman Skill

Event tracking architecture, funnels, cohorts, A/B testing, PostHog/Amplitude

gabrielmoreira Bundle

主动渗透测试工具链。覆盖信息收集、端口扫描、漏洞扫描、Web 渗透、SQL 注入、目录爆破、密码破解等场景。 通过 MCP server（pentestMCP / mcp-security-hub）将 20+ 安全工具暴露给 AI agent。 触发关键词：渗透测试、端口扫描、Nmap、漏洞扫描、Nuclei、SQL 注入、SQLMap、目录爆破、FFUF、密码破解、Hashcat、信息收集、子域名、Web 渗透、ZAP、Burp。

allansantos-dv Bundle

**CONVERSION SKILL** — Convert binary/Office documents to Markdown for LLM consumption. USE FOR: converting Word, Excel, PowerPoint, PDF, Visio, MS Project files to Markdown, batch document conversion, extracting text from non-readable formats. DO NOT USE FOR: Markdown formatting/linting, general file I/O, web scraping, image generation.

beita6969 Skill

Supports education research including pedagogical method evaluation, learning analytics, assessment design, curriculum development analysis, and educational technology evaluation; trigger when users discuss teaching effectiveness, learning outcomes, educational interventions, or student performance data.

cyanheads Skill

DataCanvas primitive reference — a Tier 3 SQL/analytical workspace for tabular MCP servers, backed by DuckDB. Use when registering tables from upstream APIs, running ad-hoc SQL across them, and exporting results. Covers the acquire → register → query → export flow, per-table TTL, the token-sharing pattern for multi-agent collaboration, env config, and Cloudflare Workers fail-closed behavior.

datachain-ai Skill

Use when asked about Studio job analytics — compute hours, user spend, failure rates, cost estimation, cluster usage. Generates and maintains dc-knowledge/jobs/index.md.

hkuds Skill

Candlestick pattern recognition engine, pure pandas vectorized implementation of 15 classic candlestick patterns (5 single-candle + 5 double-candle + 4 triple-candle + 1 trend confirmation), generating a composite signal from bullish/bearish pattern scores.

kayforkind Skill

Rewrites Java EE specification types from javax.* onto jakarta.* in sources, Maven/Gradle coordinates, and web.xml/persistence.xml namespaces for Spring Boot 3 and Jakarta EE 9+. Trigger on package javax does not exist, javax.persistence, or javax.servlet after a Boot 3 bump. Never rewrite JDK packages such as javax.sql or javax.crypto; not for Android androidx.

matteocervelli Skill

Multi-language code quality validation (Python, JS/TS, Shell, SQL) — formatting, linting, type-checking, complexity analysis with auto language detection. Use when checking code quality or running linters. Trigger on "lint", "type-check", "quality check", "run the linters", "check code quality".

ferminrp Bundle

Query Uniswap v4 analytics via The Graph subgraph GraphQL API: poolManager metrics, pool state, swaps, tokens, positions, and day/hour aggregates. Use when the user asks for Uniswap v4 pools, liquidity, volume, TVL, recent swaps, hooks, positions by NFT tokenId, poolDayData, or mentions "Uniswap v4 subgraph", "The Graph Uniswap v4", or v4 PoolManager queries.

hkuds Skill

Elliott Wave Theory signal engine. Detects swing points through Zigzag, matches 5-wave impulse and 3-wave corrective structures, validates them with Fibonacci wave relationships, and generates trend-top / correction-complete signals. Pure in-house pandas implementation.

kayforkind Skill

Diagnoses REST and GraphQL failures by isolating connectivity, TLS, auth, payload shape, parse, then semantics with curl and Python requests. Use when status or body is unexpected, auth fails, Postman works but code does not, or webhooks, pagination, or rate limits break. Not for UI rendering, SQL tuning, or DNS/firewall infrastructure; never hardcode API tokens in repro scripts.

kayforkind Skill

Tunes Apache Spark 3 jobs: Adaptive Query Execution, 128-256MB partitions, Kryo, shuffle coalescing, skew joins, cache vs persist, and Spark UI stage diagnosis. Use when jobs are slow, skewed, or OOMing executors. Not for Polars/pandas in-memory frames, teaching Spark from zero, or GPU LLM serving (vllm).

nowork-studio Skill

Analyze connected Google Analytics 4 traffic, acquisition, engagement, landing pages, ecommerce, events, and conversions, and safely manage supported GA4 key events or custom dimensions through NotFair MCP. Use for GA4, Google Analytics, traffic or conversion drops, channel attribution, realtime activity, report requests, measurement configuration, or Analytics MCP setup.

sgharlow Bundle

Clean and standardize messy tabular data (CSV, spreadsheet paste, system exports) into an analysis-ready dataset — consistent dates and names, typed columns, duplicates identified, missing values handled explicitly. Use when the user says "clean this data", "standardize this CSV", "dedupe this list", or pastes a table with inconsistent formatting.

tyche-mkr Bundle

Query the 1000 Genomes Project dataset (3,202 whole-genome-sequenced individuals, GRCh38) at the level of individual participants. Use when a question is about individuals or variants in the 1000 Genomes Project cohort: which individuals carry variants matching specific criteria in a gene or region, which individuals are homozygous-reference at a position, which variants exist in the dataset or carried by specified individuals in a gene or region, the relatedness between two specified individuals. Variants are returned with 1000 Genomes allele frequencies (AF), gnomAD v4.1 exome and genome AF, AlphaMissense score, and HGVSp annotations.

zebbern Bundle

Scan code for security issues: dependency vulnerabilities (npm/pip audit), secret leaks (regex and entropy analysis), and OWASP anti-patterns like SQL injection, XSS, or command injection. Use when the user mentions security scans, vulnerability detection, secret leaks, API keys, OWASP, npm audit, pip-audit, hardcoded passwords, or code security checks.

hkuds Skill

Analyze a user's trade journal (CSV/Excel broker export). Parses 同花顺/东方财富/富途/generic formats, produces a trading profile and 4 behavior diagnostics (disposition effect, overtrading, chasing, anchoring). Use the `analyze_trade_journal` tool.

kayforkind Skill

Writes server-side Odoo QWeb: `ir.actions.report` records, `t-foreach`/`t-field`/`t-if`, `t-out` versus `t-esc`, and `web.external_layout` PDF shells. Trigger when a Print menu report or QWeb email fails to render. Not for Kanban/Form JavaScript QWeb widgets. Never route stock valuation or warehouse routes here.

gabrielmoreira Bundle

Build a real, formula-driven Excel (.xlsx) model — not a static table. Use when asked to build an Excel model, a financial model, a budget/forecast spreadsheet, or any .xlsx with live formulas a user can edit. Produces an actual .xlsx file via a generated openpyxl script: an inputs/assumptions sheet, calculation sheets with real cell formulas, and formatting — so changing an input recalculates the model. Requires a code-execution environment (Claude Code, the API code tool, or Claude.ai).

npc-live Skill

Use this skill whenever the user provides data (CSV, JSON, table, pasted numbers, or any structured dataset) and expects a visual output — even if they don't say 'chart' or 'visualize'. Triggers include: uploading a CSV/Excel and asking 'what does this look like', 'show me this data', 'display this', 'plot this', or any phrasing implying visual understanding. Also triggers when the user pastes tabular data inline and asks for analysis or presentation. The skill reads the data, identifies its semantic type (financial OHLCV, time series, categorical comparison, composition, correlation, etc.), routes to the correct visual template, and renders a production-quality interactive chart artifact. Do NOT trigger for pure text analysis, data transformation without visualization, or when the user explicitly asks for a table/report instead of a chart.

wu-yc Skill

Production-ready single-cell and expression matrix analysis using scanpy, anndata, and scipy. Performs scRNA-seq QC, normalization, PCA, UMAP, Leiden/Louvain clustering, differential expression (Wilcoxon, t-test, DESeq2), cell type annotation, per-cell-type statistical analysis, gene-expression correlation, batch correction (Harmony), trajectory inference, and cell-cell communication analysis. NEW: Analyzes ligand-receptor interactions between cell types using OmniPath (CellPhoneDB, CellChatDB), scores communication strength, identifies signaling cascades, and handles multi-subunit receptor complexes. Integrates with ToolUniverse gene annotation tools (HPA, Ensembl, MyGene, UniProt) and enrichment tools (gseapy, PANTHER, STRING). Supports h5ad, 10X, CSV/TSV count matrices, and pre-annotated datasets. Use when analyzing single-cell RNA-seq data, studying cell-cell interactions, performing cell type differential expression, computing gene-expression correlations by cell type, analyzing tumor-immune communicatio

drmhse Skill

Integrate trusted backend services with AuthOS service API routes using X-Api-Key. Use when listing or managing service users, subscriptions, service metadata, service analytics, or provider-token requests from a server-side application.

dynatrace Bundle

Analyze dashboards and notebooks using Davis analyzers — anomaly detection, novelty scoring, and correlation. Use when the user references a specific Dynatrace dashboard or notebook (by URL, UUID, or name) and asks what it shows, which DQL queries it runs, whether a tile looks off, or wants to find anomalies, score novelty, or correlate its metrics. The trigger is a dashboard or notebook as the data source, not a general DQL question. This skill extracts timeseries queries efficiently without reading the full raw document JSON, then optionally runs Davis analyzers on the extracted metrics. Trigger phrases: "what's wrong on this dashboard", "analyze this notebook", "find anomalies", "novelty score", "correlate metrics", "extract DQL from dashboard", "dashboard URL", "tile", "run-analyzer", "timeseries extraction", "Davis analyzer".