Data & Analytics

trpc-group Bundle

Python-based data analysis tools using pandas and numpy for data processing and visualization.

jaguarjack Skill

Generate Excel export class for CatchAdmin module.

jaguarjack Skill

Generate Excel import class for CatchAdmin module.

jefrnc Skill

Use when reviewing or writing Python/Go/SQL code for quant research, backtests, market-data pipelines, or trading systems. Provides a structured checklist of failure modes specific to time-series financial code (lookahead, splits, snapshots, currency, NaN propagation, joint-filer dedup) that generic code review skips.

jek-bao-choo Bundle

Formulate POC/evaluation success criteria, current challenges, and future states from customer meeting notes and/or call transcripts, then produce a filled copy of the 2025 success criteria .xlsx template (columns: Success Criteria, Current Challenge, Future State, Product(s) Tested). Grounds each current challenge in what the customer actually said, formulates outcome-based success criteria and [DD] Datadog future states, and asks clarifying questions when the notes are unclear. Use when the user asks to create, formulate, draft, or build success criteria, or mentions "success criteria", "current challenge", "future state", a success criteria template/spreadsheet, or wants to turn meeting notes / a transcript into success criteria.

jek-bao-choo Bundle

Convert Evaluation Plan CSV files into the official Datadog TMAP (Technical Mutual Activity Plan) XLSX format. Accepts two CSV input formats: (1) the 4-column CSV output from the creating-eval-plan skill (Depth, Title, Description, Success Criteria), or (2) the 10-column CSV exported from Homerun (Depth Value, Status, Assignee, Due Date, etc.). Produces a formatted XLSX matching the official ENT/MM Mutual Action Plan template with phases, categories, merged cells, and color-coded rows. Use when the user asks to convert an eval plan to TMAP, generate a TMAP XLSX, convert CSV to TMAP, or mentions "TMAP", "mutual action plan", or "convert eval plan to xlsx".

jmech-pepa Skill

Analýza tabulkových dat (CSV, XLSX, JSON, Parquet, i gzip) přes DuckDB CLI. Na přirozený dotaz udělá nad datovým souborem agregace, přehledy, srovnání nebo hledání anomálií — data se nenačítají do kontextu, počítá DuckDB. Finální SQL ukládá vedle dat, takže opakovaná analýza = spuštění hotového skriptu. Trigger: "/data", "analyzuj data", "analyzuj soubor/CSV/excel", "udělej přehled z", "spočítej z dat", "co je v souboru", "najdi anomálie v datech", "agreguj".

chenyuxiaojin Bundle

视频团队的运营分析师。分析抖音多账号数据，识别高表现内容特征， 给出选题建议和竞品洞察。支持从 CSV/Excel 文件或飞书多维表格读取数据。 当用户说"分析数据""看看最近表现""下期做什么选题"时触发。

crazymarky Bundle

SQL injection detection and exploitation using sqlmap, manual techniques, and custom payloads. Use this skill when user needs to test for SQL injection vulnerabilities, extract database information, or exploit SQLi in parameters, headers, or cookies.

jpoindexter Bundle

Map project evidence into a user-centered outcome arc for a product or design case study. Use when raw notes are chronological, the story lacks tension or a clear result, the product or designer has become the hero instead of the user, a journey needs a beginning-middle-end structure, or research and analytics must be connected to goals, conflicts, pivotal decisions, and measurable outcomes.

bookwormsuf Bundle

Convert interview/UX research transcripts into CSV files for qualitative coding analysis. Use when the user has a transcript with SPEAKER_XX: utterance format (markdown or plain text) and wants to create a spreadsheet for coding, tagging, or analysis. Triggers on: 'convert transcript to csv', 'parse transcript', 'create coding sheet from transcript', 'transcript for qualitative analysis', interview transcripts, UX research sessions.

scholarly360 Bundle

Expert Python security testing skill for OWASP A05:2025 — Injection vulnerabilities in FastAPI and Flask applications. Use this skill whenever the user asks about: SQL injection, XSS, SSTI (Server-Side Template Injection), OS command injection, ORM injection, LLM prompt injection, input validation, parameterized queries, Jinja2 escaping, or any untrusted data reaching an interpreter (database, OS shell, template engine, or browser). Also trigger for security audits, pen testing, Bandit SAST scans, code review for injection flaws, or any request to "find injection bugs", "check for SQLi", "audit my Flask/FastAPI app", or "scan for command injection". This skill has the highest CVE count of all OWASP categories (62,445) — always apply it proactively when reviewing Python web application security.

erlemar Skill

Verify a megaminx submission CSV, submit to Kaggle, and update HANDOFF / SUBMISSION_JOURNEY / to_do_shortlist with the new score.

erlemar Skill

Verify an already-built submission CSV then submit to Kaggle.

jakeschincariol Skill

Post-mortem on what the user has already published - which posts actually worked, why, and what to stop doing. Use when the user pastes their LinkedIn analytics or past posts and asks "what's working", "why did this flop", "read my analytics", "audit my content", or wants to know what to double down on.

jinchen-yang Skill

从主办方配件表里按需求选器件，出 BOM/统一采购单。当用户把配件表放进 inputs/partslist/ 并要"选器件/选型/出BOM/出采购清单"时使用。先解析配件表（多模态），再按 design/solution.md 的需求 + 知识库引脚说明/金奖经验匹配选型，配件表缺的用 jlc_search 现查。产出 design/bom.csv，需人工批准。

entropy-cloud Bundle

Generate, validate, and modify Nop ORM models from MySQL DDL/SQL or business requirements. Covers entity modeling, relationships, domains, dictionaries, displayName localization, and ORM file organization (Delta mode). Use for database-first or requirements-first ORM development.

entropy-cloud Skill

使用 NOP CLI 工具进行XLang模型文件格式转换，支持 XDSL 模型文件在不同格式（XML/JSON/YAML/XLSX）之间转换

exploreomni Bundle

Administer an Omni Analytics instance — manage connections, users, groups, user attributes, permissions, schedules, and schema refreshes via the Omni CLI. Use this skill whenever someone wants to manage users or groups, set up permissions on a dashboard or folder, configure user attributes, create or modify schedules, manage database connections, refresh a schema, set up access controls, provision users, or any variant of "add a user", "give access to", "set up permissions", "who has access", "configure connection", "refresh the schema", or "schedule a delivery".

exploreomni Bundle

Embed Omni Analytics dashboards in external applications — URL signing, custom themes, iframe events, entity workspaces, and permission-aware content — using the @omni-co/embed SDK and Omni CLI. Use this skill whenever someone wants to embed a dashboard, sign an embed URL, customize the embedded theme, handle embed events, listen for clicks or drills in the iframe, send filters to an embedded dashboard, set up entity workspaces, look up embed users, build a permission-aware content list, white-label an embedded dashboard, or any variant of "embed this dashboard", "customize the iframe theme", "handle click events from the embed", "filter the embedded dashboard", "set up embedding", or "what dashboards can this user see".

exploreomni Bundle

Run queries against Omni Analytics' semantic layer using the Omni CLI, interpret results, and chain queries for multi-step analysis. Use this skill whenever someone wants to query data through Omni, run a report, get metrics, pull numbers, analyze data, ask "how many" / "what's the trend" / "show me the data", retrieve dashboard query results, or extract data from an existing dashboard or workbook. Also use for table calculations and computed columns (running totals, percent-of-total, month-over-month / period-over-period change, moving averages, rankings), open-ended multi-step analysis via agentic AI jobs, and running raw SQL through the semantic layer — even when the user doesn't say "query" (e.g. "add a running total column", "what's our MoM growth", "analyze revenue trends"). For building or editing a dashboard or chart use omni-content-builder; for adding a field or measure to the model use omni-model-builder — this skill retrieves and computes over data.

exploreomni Bundle

Optimize your Omni Analytics model for Blobby, the Omni Agent — configure ai_context, ai_fields, synonyms, sample_queries, and AI-specific topic extensions. Use this skill whenever someone wants to improve AI accuracy in Omni, make Blobby smarter, add AI context or example questions, curate which fields the AI sees, personalize AI context by user attribute, scope context to a model tier or agent, diagnose context-window pruning or truncation, control which topics AI can reach, troubleshoot why Blobby gives wrong answers, or any variant of "make the AI better", "Blobby isn't answering correctly", "optimize for AI", or "teach the AI about our data".

exploreomni Bundle

Create and edit Omni Analytics semantic model definitions — views, topics, dimensions, measures, relationships, and query views — using YAML through the Omni CLI. Use this skill whenever someone wants to add a field, create a new dimension or measure, define a topic, set up joins between tables, modify the data model, build a new view, add a calculated field, create a relationship, edit YAML, work on a branch, promote model changes, or any variant of "model this data", "add this metric", "create a view for", or "set up a join between". Also use for migrating modeling patterns since Omni's YAML is conceptually similar to other semantic layer definitions.

exploreomni Bundle

Discover and inspect Omni Analytics models, topics, views, fields, dimensions, measures, and relationships using the Omni CLI. Use this skill whenever someone wants to understand what data is available in Omni, explore their semantic model, find specific fields or views, check how tables join together, see what topics exist, or asks any variant of "what can I query", "what fields are available", "show me the model", "what data do we have", or "how is this data modeled". Also use when you need to understand the Omni model structure before building or modifying anything.

exploreomni Bundle

Create, update, and manage Omni Analytics documents and dashboards programmatically — document lifecycle, drafts, tiles, visualizations, filters, controls, and layouts — using the Omni CLI. Use this skill whenever someone wants to build a dashboard, create a workbook or document, add tiles or charts, configure dashboard filters or controls, set up a KPI view, lay out or rearrange tiles and pages, edit a dashboard as a draft and publish it, change dashboard settings, rename/move/duplicate/delete a dashboard, or modify dashboard-level model customizations like workbook-specific joins or fields — including casual phrasings like "make a dashboard for…", "add a chart to…", or "clean up this dashboard's layout" that don't name the skill. For running a query or pulling metrics use omni-query; for adding a field to the shared model use omni-model-builder.

exploreomni Bundle

Find, browse, and organize content in Omni Analytics — dashboards, workbooks, folders, and labels — using the Omni CLI. Use this skill whenever someone wants to find an existing dashboard, search for content, list workbooks, browse folders, see what dashboards exist, find popular reports, download a dashboard as PDF or PNG, favorite content, manage labels on documents, or any variant of "find the dashboard about", "what reports do we have", "show me our dashboards", "where is the sales report", or "download this dashboard".

exploreomni Bundle

Convert an Omni Analytics topic into a Databricks Metric View definition in Unity Catalog. Use this skill whenever someone wants to export Omni metrics to Databricks, create a Metric View from an Omni topic, harden BI metrics into Unity Catalog, or bridge Omni's semantic layer with Databricks AI/BI dashboards and Genie spaces.

exploreomni Skill

Convert an Omni Analytics topic into a Snowflake Semantic View YAML definition. Use this skill whenever someone wants to export Omni metrics to Snowflake, create a Semantic View from an Omni topic, harden BI metrics into the warehouse, or bridge Omni's semantic layer with Snowflake Cortex Analyst.

fellowship-dev Skill

Initialize Flowchad in a project — auto-discover existing tests, analytics, specs, and user flows, then scaffold flow definitions. Run as first step before any /flow-walk.

gabrielfst30 Bundle

Analyze, build, and structure PostgreSQL table data using Prisma ORM. Use this skill whenever the user wants to: design or review Prisma schemas, create or refactor Prisma models, define relationships (1-1, 1-N, N-M), generate Prisma migrations, reverse-engineer existing schemas into Prisma format, audit Prisma model structures, or build typed data models from raw definitions using Prisma. Trigger on keywords like "prisma", "schema.prisma", "prisma model", "prisma migrate", "datasource", "generator", "relation", "@relation", "@@index", "@@unique", "prisma client", "tabela prisma", "modelo prisma", or any request to design, inspect, or generate Prisma schema for PostgreSQL. Also trigger when the user pastes raw Prisma SDL, a list of fields, or asks to convert SQL DDL to Prisma. Always use this skill over any generic postgresql-schema skill when Prisma is involved.

gitlabhq Bundle

Index and query a LOCAL checkout of a repository offline with the Orbit CLI (the `orbit` binary, run directly or via `glab orbit`). It builds a DuckDB property graph from the working tree. Use grep for definitions and relationships, context for source bodies, and read-only SQL for aggregations. Use when the request targets the current checkout, working tree, or a branch that is not pushed/indexed remotely, or is explicitly offline/local: index this repo locally, who calls X in my checkout, list definitions in a file, generate a repo map of a local checkout, run SQL over the local code graph, or serve the local graph over MCP. For queries against already-indexed production data in GitLab (a project such as gitlab-org/gitlab, cross-project blast radius, contributor or merge-request aggregation) use the `orbit` skill; for single-entity GitLab lookups or write operations use `glab`.

harsh719 Bundle

Create or update a clean, scannable Google Sheet from tabular content, matching the locked house style (Geist font, black/white bold centred frozen header row, CLIP text wrapping, numeric columns centred, text left-aligned, auto-sized columns) via the {{GOOGLE_ACCOUNT}} OAuth helper. Trigger with /gsheet or whenever the user asks to "create/build/make a Google Sheet", turn a table/list/CSV/data into a Google Sheet, or format data as a spreadsheet.

veelenga Bundle

Render and preview CSV files in browser with interactive sorting, filtering, and column statistics

vslipchenko Bundle

Convert a plain-text filter description into a syntactically correct expression in a target query/filter format — OData $filter, JQL, MongoDB, SQL WHERE, or RQL. Use when the user asks to turn a description into a filter/query (e.g. "convert this to a MongoDB filter", "give me the JQL for...", "as an OData $filter", "as an RQL query", "make a SQL WHERE clause for these conditions"). For OData/RQL, can also produce the RFC 3986 percent-encoded URL form on request. Always resolves field names, then confirms the resulting logical expression in plain text before producing the final syntax.

vslipchenko Skill

Export / back up the estimator's stored dataset (history.csv, and optionally config.json) to a file path the user chooses. Use when the user wants to back up, export, snapshot, or copy out their estimation history (e.g. "export my history to ~/backups", "back up the estimator data", "save a copy of the history before resetting"). Counterpart to the import skill.

vslipchenko Bundle

Import an existing history CSV into the estimator from a file path, instead of building it with `sync`. Use when the user wants to load / import an existing estimation history (e.g. "import my history from ./history.csv", "load this dataset", "import estimator history"). Supports merging into or replacing the current history.