Data & Analytics

datus-ai Skill

Create or update custom Datus subagents by editing the loaded agent.yml. Use when a workflow needs persistent agentic_nodes scoped to already-built tables, metrics, or reference SQL.

datus-ai Skill

Decide where a produced artifact must be persisted before writing it, then route semantic_models and metrics through semantic_modeling, reference_sql through gen_sql_summary, knowledge through extract-knowledge (lite), memory through add_memory, skills through create-skill, and AGENTS.md edits directly. Load before persisting any business fact, validated SQL, metric/model definition, session preference, project convention, or reusable workflow.

ramziddin Skill

NestJS database integration with TypeORM, Prisma, and MongoDB (Mongoose). Covers SQL and NoSQL databases, repository pattern, entities, migrations, and database operations. Use when working with databases, ORMs, or data persistence.

vcxcvii Skill

Explain what a search, analytics or AI-visibility metric actually means, how it is commonly misread, and what to say instead. Reference only: it decides nothing and writes nothing, and every other Rainmaker skill cites it rather than restating a definition. Use this skill whenever the user asks to: - Understand what a metric means: sessions, impressions, average position, INP, key events - Work out why two tools disagree, most often GA4 against Search Console - Check whether a number in a report is being read correctly - Sanity-check a claim someone made using a metric - Understand an AI-search term: citation, extractability, entity, llms.txt Trigger even for casual requests like "what does average position actually mean", "why doesn't GA4 match Search Console", "is domain authority real", "what's INP", "our CTR dropped, is that bad", or when a user pastes a number from a dashboard and asks whether it is good.

lglucas Skill

Review any feature that collects, stores, processes, exports, or displays personal data — answering the nine questions in `.claude/rules/privacy-audit.md` (what data, why, where, who can access, how controlled, retention, logs, deletion/export, policy impact). Mandatory before merging personal-data changes. Triggers on auth, user profiles, exports, analytics, logging, and when the user says "vou guardar o CPF", "preciso pedir o e-mail", "e a LGPD?", "posso salvar isso do usuário?".

berabuddies Bundle

Use when you need to work with Excel files from Clawdbot, including reading, writing, analyzing data, creating charts, and manipulating spreadsheets.

axross Bundle

Deciding what a system should report about itself, independent of the SDK that carries it out — the vendor-neutral layer over logs, metrics, traces, error handling, and product events. Triggers on code that logs, throws, catches, reports an error, tracks an event, or identifies a user, and on "log level", "capture exception", "error boundary", "breadcrumb", "trace sampling", "cardinality", "event name", "identify", "reset on logout", or "cookie consent". For which package to install, which option controls collection, or source maps and build-time tokens, use the installed vendor's own capability. Covers try/catch placement, metric cardinality, and event naming through consent.

axross Bundle

Wiring or reviewing an Amplitude integration — the vendor layer, covering SDK init, identity and sessions, autocapture, tracking plans, consent, replay, ingestion, and cost. Triggers on `@amplitude/analytics-browser`, `@amplitude/unified`, `amplitude.init`, `amplitude.track`, `setUserId`, `autocapture`, `defaultTracking`, `Ampli`, `insert_id`, `MTU`, `serverZone`, `identityStorage`, session replay `sampleRate`, or an Amplitude API key. For vendor-neutral event naming or what-to-track questions, use a software-instrumentation capability instead.

hongmaple0820 Bundle

飞书云空间（云盘/云存储）：管理云空间（云盘/云存储）中的文件和文件夹。上传和下载文件、创建文件夹、复制/移动/删除文件、查看文件元数据、管理文档评论、管理文档权限、订阅用户评论变更事件、修改文件标题（docx、sheet、bitable、file、folder、wiki）；也负责把本地 Word/Markdown/Excel/CSV/PPTX 以及 Base 快照（.base）导入为飞书在线云文档（docx、sheet、bitable、slides）。当用户需要上传或下载文件、整理云空间（云盘/云存储）目录、查看文件详情、管理评论、管理文档权限、修改文件标题、订阅用户评论变更事件，或要把本地文件导入成新版文档、电子表格、多维表格/Base/幻灯片 时使用。"云空间"、"云盘"和"云存储"是同一概念，用户说"云盘"、"云存储"、"网盘"、"我的空间"时均路由到本 skill。当用户给出 doubao.com 的云空间资源 URL/token，或明确提到豆包里的 file/folder/docx/sheet/bitable/wiki 资源时，也应直接使用本 skill，不要因为域名不是飞书而回退到 WebFetch；路由依据是资源类型、URL 路径模式和 token，而不是域名。

dongzhigang13305312738-art Bundle

当用户明确要求“推荐投稿期刊”“帮我的论文选 SCI 杂志”“这篇 manuscript 适合投哪些 journal”“期刊匹配/选刊/投稿建议”时必须使用。适用于用户提供全文、摘要、Markdown、LaTeX、PDF、Word 或混合材料的场景；本 skill 会基于 manuscript 与用户偏好，先用内置 `2023IF.xlsx` 做最小硬过滤生成候选池，再由宿主模型自主规划 Set1/Set2/Set3，并联网核验 scope / 质量 / 近 3 个月 PubMed 论文，最后输出 1 份按推荐度排序的 Markdown 选刊报告。⚠️ 不适用：用户只是想润色论文、只想翻译摘要、或只问某个单一期刊的官网信息而不需要系统选刊。

speakeasy-api Skill

Use when adding a new feature or changing an existing one that surfaces data in the dashboard — the demo org (app.getgram.ai/explore-demo) must show it — and when editing or extending the demo org seed or the local dev seed — server/internal/demoseed/{postgres,clickhouse}.sql, demoseed.Spec, RunLocalFixtures, demo.ensure_demo_org(), gram demo-seed, mise run seed, mise run seed:demo, seed/demo/ docs, TestDemoSeedSafety, the demo-seed-safety CI job, org_gram_demo_workspace, dec0de00 uuids — or when that CI check fails with "touched another tenant's rows", "reseed is not cleaning up or not idempotent", "still contains the demo identifier", or a demo seed pre/postflight exception.

speakeasy-api Skill

How to add a new attribute value (dimension) that the generic org-scoped telemetry.query analytics endpoint can group by and filter on. Activate whenever the task is to expose a new breakdown/filter axis (e.g. department, job_title, model, provider, a new WorkOS directory attribute or request attribute) in telemetry.query, or mentions the attribute_metrics_summaries materialized view, queryDimensions, or attributeDimensionRegistry.

guillaumelessard Skill

The optional QECTOR Workbench desktop application (manual 17.5, 20). Covers the device-local stdio MCP integration, the historical changelog (0.7.0 -> 1.0.0), the explicit provisional / non-frozen classification, the fact that the Workbench is absent from the shipped wheel, the headless application controller (workbench.py), the benchmark job queue, the JSON / CSV / PDF export, the environment snapshot, the git commit, and the qector-admin.workbench_probe tool. Load for any question about the Workbench, the optional app, or how to probe a target device.

nadav011 Skill

SQL/database best practices — query optimization, N+1 prevention, proper indexing, connection pooling, migration safety, Prisma/Drizzle patterns, avoiding SELECT *, transactions

puckapi Skill

Routes hockey analytics requests to the right 2-3 skills. Load this FIRST when a hockey data or analytics request comes in and you are unsure which skills to activate. Prevents loading all 28 skills when only 2-3 are needed. Also handles first-use persona detection.

puckapi Bundle

Default data source for PuckAPI Skills. Routes all MCP tool calls for NHL games, schedules, team standings, player stats, goalie performance, and betting odds. Use when any other skill needs data. Do not invoke directly -- other skills call this. Not for data analysis, modeling, or bet recommendations -- see hockey-analytics, model-building, or edge-detection instead.

puckapi Bundle

Generate shareable visual outputs for sports analytics: calibration curves, equity curves, radar charts, matchup cards, probability histograms, and player cards. Use when user asks to visualize, chart, plot, graph, show, display, generate a visual, make a shareable image, or wants to post analysis to social media. Do not use for raw data exploration -- see game-lookup or nl-to-query. Do not use for analysis itself -- run the relevant skill first, then visualize the output.

puckapi Bundle

Teaches hockey analytics metrics -- Corsi, Fenwick, PDO, xG, zone entries, high-danger chances, RAPM, WAR -- with real data context. Use when user asks what Corsi means, how to interpret PDO, what xG tells you, why Fenwick matters, or asks to explain advanced stats for a team or player. Do not use for betting concepts or odds interpretation -- see odds-analysis. Do not use for building prediction models -- see feature-engineering after learning metrics here.

puckapi Bundle

Builds expected goals (xG) models from NHL play-by-play shot event data using XGBoost or LightGBM. Use when user asks about expected goals, xG model, shot quality, building an xG model, xGF%, xGA, rebound detection, rush shot detection, or shot probability. Do not use for applying pre-built xG values to team or game analysis -- see team-analysis or hockey-analytics. Do not use for general game prediction models -- see model-building. Do not use for goalie evaluation using xGA -- see goalie-analysis.

puckapi Bundle

Teaches how to use Claude and MCP tools effectively for hockey analytics -- exploratory analysis, hypothesis testing, model iteration, and report generation. Use when user asks how to analyze hockey data with AI, how to structure an analysis session, how to test a hypothesis about team or player performance, how to improve a model systematically, or how to generate a performance report. Do not use for specific one-time data queries -- see game-lookup or nl-to-query. Do not use for the mechanics of model building -- see feature-engineering or model-building directly.

puckapi Bundle

Transforms raw game, player, and goalie data into model-ready features with built-in leakage detection. Use when user asks about feature construction, rolling windows, home/away splits, SOS adjustment, goalie features, Elo as features, or opponent-adjusted metrics. Strictly enforces .shift(1) before any rolling calculation. Do not use for raw data exploration -- see game-lookup or team-analysis. Do not use for understanding hockey metrics -- see hockey-analytics. Do not use for xG feature construction -- see xg-model-building.

camunda Skill

Use when adding support for a new event or metric in the analytics exporter at zeebe/exporters/analytics-exporter/ — creating handlers, adding AnalyticsAttributes, registering in the HandlerRegistry, and writing tests. Also use when modifying existing handlers or attributes.

puukis Skill

Show lstack memory analytics, including structured learning health.

polyxgo Bundle

Skill: SQL Queries (Cross-Cutting)

miketromba Skill

Mintlify documentation platform guidance. Use when working with Mintlify - an AI-native documentation platform for creating, deploying, and optimizing developer docs. Triggers on questions about Mintlify setup, docs.json configuration, MDX components, API playground, OpenAPI integration, navigation, themes, custom domains, deployment, web editor, AI assistant, llms.txt, MCP, analytics, or ANY Mintlify-related documentation tasks.

october-academy Skill

분석 환경 세팅 — PostHog 설치 + 이벤트 추적 추천. 분석 세팅, 이벤트 추적 설정 시 사용.

orangehrm Skill

Reference for OrangeHRM database migrations — the `installer/Migration/V{x}/Migration.php` pattern, what runs them (the installer for fresh databases, the upgrader for existing instances), the `MIGRATIONS_MAP` registry, and the helpers available inside a migration (`SchemaHelper`, `LangStringHelper`, `ConfigHelper`, `DataGroupHelper`). Use whenever the user is writing a new migration, bumping the version, debugging a failed migration, recovering a half-applied schema, asking how install vs upgrade decide which migrations to run, or asking about schema changes / lang-string updates / `hs_hr_config` writes / FK handling. **All 5.x migrations use Doctrine DBAL via `SchemaHelper` and `createQueryBuilder()` — raw SQL is the legacy V3.3.3 pattern (imported from 4.x) and not used for new work.** Permission seeding inside migrations is documented in the `authorization` skill; this skill covers the migration mechanics, not the permission model.

preset-io Bundle

Inspect Preset SQL Lab bootstrap, query history, saved queries, result/export routing, query control, and SQL execution routing through direct Superset API calls. Use only for direct API workflows; Do not use for MCP-only work.

preset-io Bundle

Use Superset MCP data-returning tools for chart data, chart previews, rendered chart SQL, and dataset query results. Use only for MCP tool workflows; do not use for direct API work.

preset-io Bundle

Use Superset MCP tools for SQL execution, SQL Lab links, and saved SQL queries. Use only for MCP tool workflows; do not use for direct API work.

preset-io Bundle

Review embedded analytics row-level security clauses, tenant filters, guest-token RLS rules, and external-viewer isolation for direct API workflows. Use only for direct API workflows; Do not use for MCP-only work.

preset-io Bundle

Use Snowflake Cortex Agent REST and SQL APIs for listing, describing, creating, updating, deleting, running agents, streaming responses, and SQL wrappers. Use only for direct API workflows; Do not use for MCP-only work.

preset-io Bundle

Run or route SQL Lab execution, result retrieval, exports, query stop, saved-query mutation, and permalink workflows through direct Superset API calls. Use only for direct API workflows; Do not use for MCP-only work.

preset-io Bundle

Prepare Snowflake Cortex direct API access: account URL, auth method, role, warehouse, database/schema context, privileges, and Cortex Agent routing. Use only for direct API workflows; Do not use for MCP-only work.

onekeyhq Bundle

OneKey analytics and server event tracking with LogToServer, logger scopes/scenes, and business metrics. Use for 埋点, analytics, or tracking events.

onekeyhq Skill

Add or clean temporary OneKey debug console logs with consistent prefixes and safe stringify. Excludes analytics and permanent server logs.