Data & Analytics

snowflake-labs Skill

Optimize an AI function through automated function body optimization, including prompts, model references, and SQL pre/post-processing.

snowflake-labs Skill

Interactive demo [Experimental]: Build a PII redaction function using Agent Research mode — the agent searches the web for techniques, proposes SQL UDF architectures with pre/post-processing, and you pick the approach. Then optimize the full function body.

cdxiaodong Skill

SQL 注入测试技能 —— 面向真实业务系统，覆盖参数边界、布尔/时间盲注、WAF 绕过与误报规避，产出可复现 PoC 与证据链

d-laub Skill

Use when writing or modifying Python code that calls polars `DataFrame.join` or `LazyFrame.join` and any downstream step depends on the result's row order — attaching a looked-up column back onto order-sensitive data, positional alignment with a numpy array or `pl.Series`, `hstack`, or reproducible output. Skip for joins whose output you immediately re-sort or treat as an unordered set.

thechandanbhagat Skill

Parse, analyze, transform, and manipulate CSV files. Use for data processing, cleaning, and CSV operations.

thechandanbhagat Skill

Write SQL queries, optimize database performance, design schemas, and debug SQL issues. Use for database operations, query optimization, and schema design.

thechandanbhagat Skill

Work with Excel spreadsheets (XLSX/XLS/CSV) - read data, create spreadsheets, convert formats, analyze data, and generate reports. Use when the user asks to work with Excel files or spreadsheet data.

eggboy Bundle

Build and configure FastAPI applications following best practices with uv project setup, Pydantic models, dependency injection, async/sync endpoints, SSE streaming, and OpenAPI docs. Use when developing APIs with FastAPI or setting up new FastAPI projects. DO NOT use for general Python style (use python-best-practices) or dataframe workflows.

eggboy Bundle

Apply modern Python best practices, conventions, and architectural patterns to production-ready code. Use when writing, reviewing, or refactoring Python to follow PEP 8, type hints, pytest and hypothesis testing, dataframe workflows (Pandas, Polars, DuckDB, Spark), and Python data model patterns (dunder methods, iterators, context managers, descriptors). For Python 3.12+ with pyproject.toml and Ruff. DO NOT use for FastAPI (use fastapi skill).

gabrielcardosodeaguiar45-oss Bundle

Organização automatizada de kits documentais jurídicos para escritórios de advocacia, com detecção de múltiplos benefícios INSS, parser de extrato HISCON, detecção de cadeias de fraude (refinanciamento, portabilidade, consolidação, fracionamento), grifo colorido por cadeia e geração de ESTUDO de cadeia em DOCX. Recebe pasta com documentos brutos (PDFs, imagens, Word) de um ou mais clientes e organiza em estrutura BENEFÍCIO/BANCO/ com numeração canônica, validação documental e Pendências.xlsx. Suporta processamento em lote. SEMPRE use esta skill quando o usuário mencionar: kit jurídico, organizar documentos de cliente, separar kit, montar pasta de ação, organizar pasta AL/AM/SC, RMC, RCC, empréstimo consignado, empréstimo não contratado, organizar procurações, organizar Bradesco, kit processual, montar kit de processo, processar kits em lote, cadeia de empréstimos, refinanciamento sucessivo.

ninestep Bundle

Use when FineReport datasource connections, SQL previews, field scans, or dataset XML snippets are needed before editing CPT or FVS files. Trigger whenever the request involves connection names, columns, parameters, or data validation.

yonatangross Bundle

Use this skill when designing database schemas for relational (SQL) or document (NoSQL) databases. Provides normalization guidelines, indexing strategies, migration patterns, and performance optimization techniques. Ensures scalable, maintainable, and performant data models.

lensetek Skill

Performs statistical data analysis, Excel DKPS spreadsheet parsing, compliance trend charts, and evidentiary backing for AMI Audit Reports.

kennethkhoocy Bundle

Connect to and query WRDS (Wharton Research Data Services) from any research project. Use this skill whenever the user needs to download, query, or explore data from WRDS — including Compustat, CRSP, FactSet, I/B/E/S, or any other WRDS-hosted database. Also trigger when the user mentions WRDS tables, WRDS libraries, or wants to look up variable definitions or coverage in WRDS datasets. Do NOT trigger for general SQL or database questions unrelated to WRDS.

kennethkhoocy Bundle

Use this skill whenever the user asks to run Stata commands, estimate econometric models, work with .dta files, run a .do file, generate Stata output, or do any statistical analysis where Stata is involved. Also trigger when the user mentions Stata variables, Stata syntax, or econometric tasks where Stata is the natural tool, including regressions, IV estimation, diff-in-diff, RDD, panel data, clustering, summary statistics, and margins. Stata runs through pystata on StataNow 19.5 BE; configure once with stata_setup, then drive everything with stata.run() and exchange data directly with pandas. Prefer this skill over subprocess calls or .do-file shelling for Stata work, including cases where the user does not say pystata.

gisellesleeveless396 Skill

Database patterns for Go services: database/sql, connection management, transactions, migrations, query builders, and ORM usage (sqlc, GORM, ent). Use when: "database access", "SQL query", "connection pool", "transactions", "database migration", "sqlc", "GORM", "ent", "prepared statement", "repository pattern". Do NOT use for: in-memory data structures (use go-coding-standards), security aspects of SQL (use go-security-audit), or performance profiling of queries (use go-performance-review).

novanoticia Bundle

Cárgala cuando el usuario pida analizar un CSV, diga "resume esta tabla" o "cuántas filas tiene". Analiza ficheros CSV y devuelve estadísticas básicas.

0avi Bundle

Designs PostgreSQL schemas from requirements, makes database architecture decisions, writes SQL, and diagnoses and fixes slow queries. Trigger when designing or reviewing a schema, choosing a multi-tenancy model, picking data types and keys, writing constraints, planning a migration, writing or reviewing SQL (joins, aggregation, window functions, CTEs, upserts, pagination, full-text search, JSONB), choosing or fixing indexes, reading an EXPLAIN plan, diagnosing a slow query or high database CPU, tuning autovacuum or dealing with bloat, resolving locks and deadlocks, choosing an isolation level, setting up row-level security, sizing a connection pool, or planning partitioning, replication and backups. Targets PostgreSQL 14 through 18.

cryptolens Bundle

Work on the Cryptolens Java SDK and Java-specific software licensing integrations. Use when Codex needs to inspect, modify, review, test, or explain the `Cryptolens/cryptolens-java` repository, especially license key verification, key activation, get-key flows, offline license verification, offline license strings, floating licenses, trial licenses, machine binding, node-locking, user-verification integrations, license-server routing, data objects, analytics events, Maven packaging, or migration away from deprecated `io.cryptolens.legacy.*` classes.

hefrock Bundle

Runs the wiki's self-governing maintenance loop and holds it accountable to its own constitution. Orchestrates wiki-librarian (structure), wiki-synthesizer (compilation), and wiki-warehouse (cold-storage integrity, if in use), then adds the things none of them do — a constitution-compliance audit, a tracked wiki health score, and a knowledge-gap queue. Use on a weekly cadence or when the vault hasn't been maintained in a while. Triggers on "govern my wiki," "maintain my wiki," "is my wiki healthy," "wiki health score," "check constitution compliance," "what am I missing in my vault," and the command /govern. Requires the obsidian-vault MCP server connected. Pairs with wiki-librarian, wiki-synthesizer, and wiki-warehouse, which it invokes rather than reimplements.

hefrock Bundle

Ingests raw research documents (PDFs, ebooks, scans, articles) into a separate private "cold storage" GitHub repo, then writes a lean pointer note into the Obsidian vault — keeping originals and full extracted text out of the vault so it stays fast and git-diffable. Use when the user wants to file, archive, warehouse, or "add a document/paper/PDF to my knowledge base," or to keep large source files outside the vault. Triggers on "warehouse this," "ingest this document," "add this PDF to cold storage," "file this paper," and the commands /ingest and /warehouse-audit. Requires the obsidian-vault MCP server connected and the knowledge-warehouse repo cloned locally. Pairs with wiki-synthesizer (which compiles the resulting Source note into concepts) and wiki-librarian (structural audits).

humblytics Skill

Reads page analytics and click data from Humblytics, generates A/B test hypotheses with element selectors, and launches no-code split tests via the Humblytics MCP. Use when creating A/B tests, split tests, multivariate tests, or when you need to test headlines, CTAs, layouts, or pricing. Triggers: A/B test, split test, experiment, test hypothesis, launch test, variant.

asaotomo Skill

通过已连接的 FofaMap MCP 做 FOFA 语法校验、规则指纹、资产搜索、主机画像、统计、 导出和授权 Nuclei 扫描。用户提到 FOFA、测绘、暴露面、公网资产、app=、icon_hash、 致远/OA/VPN、导出 CSV 时必须先 load_skill 本 skill。不要用 curl 打 FOFA API。

ai-riksarkivet Bundle

This skill should be used when working with Apache Arrow in JavaScript/TypeScript — Table, Vector, Schema, IPC serialization, columnar data, RecordBatch, Flight SQL, Flechette, Arquero, Mosaic, DuckDB-WASM, or imports from 'apache-arrow', '@uwdata/flechette', '@uwdata/vgplot', 'arquero'. Covers zero-copy patterns, typed arrays, builder API, Arrow Flight, and the Arrow JS ecosystem.

caikiji Bundle

管理长驻 Jupyter 会话时必须读取并执行本 skill 的调用方式：start 后多次 exec 共享变量，标准 Jupyter 协议实现。凡任务需跨调用/跨轮次保留 Python 状态、分多步跑长任务、反复接入同一环境（含 pandas/scipy）、执行或验证 .ipynb，或用户说"attach""常驻内核""持久变量""notebook 验证"时使用；一次性脚本直接运行即可，无需本 skill。

gooseworks-ai Bundle

Search LinkedIn posts by keywords using Crustdata API directly, deduplicate and sort by engagement. Outputs to CSV or JSON. Use when researching LinkedIn content around specific topics.

gooseworks-ai Bundle

Qualifies outbound and cold lead lists against ICP criteria — company fit, person fit, and reachability. Handles any list source: scraped prospects, event attendees, purchased lists, Apollo/Clay exports, or manually built target accounts. Enriches sparse records via Apify LinkedIn scraping, scores each lead on a 0-100 composite scale, and outputs a tiered CSV with qualification verdicts, reasoning, and recommended outreach priority.

gooseworks-ai Bundle

Periodic sales performance review composite. Pulls rep-level and team-level sales data from any CRM or tracking system, analyzes performance across a user-defined period (weekly, monthly, quarterly), and produces both an executive summary and a detailed diagnostic. Covers quota attainment, activity metrics, deal progression, win/loss patterns, rep-level benchmarking, coaching opportunities, and forecast accuracy. Tool-agnostic — works with any CRM (Salesforce, HubSpot, Pipedrive, Close, Supabase, CSV).

shrav89 Bundle

Query database safely with parameterized statements

aliyun Bundle

AI-agent-friendly Hologres CLI with safety guardrails and structured JSON output. Use for database operations, schema inspection, SQL execution, data import/export, Dynamic Table lifecycle management (V3.1+ syntax), and GUC parameter management. Triggers: "hologres cli", "hologres command", "hologres database", "dynamic table", "hologres查询", "hologres guc", "GUC parameter"

aliyun Bundle

Hologres 运维诊断日报生成技能。生成一份"诊断结论 + 根因解释 + 行动建议"的每日巡检报告， 覆盖实例健康、可用性、计算资源、SQL 性能、成本治理、容量预测六大维度。 触发词：日报、每日巡检、daily report、运维日报、诊断日报、实例巡检报告、每日健康报告。 实例 / 计算组 / SQL 数据通过 `hologres instance-manage get` / `hologres warehouse` / `hologres sql run` 获取；云监控数据通过 `hologres metric query` 获取。

aliyun Bundle

Hologres 实例 CPU 使用率异常诊断技能。当用户提到 CPU 打满、CPU 持续高位、Worker CPU 不均、负载诊断、CPU 归因分析、后台 Compaction 干扰等场景时使用。 以 instance_id + 时间窗口为输入，自动完成 CPU 状态分级（持续打满 / 持续高位 / 安全平稳）、四象限归因诊断（宏观定性 / 分布定位 / 查询归因 / 后台任务干扰），并输出结构化的 Markdown 诊断报告与治理行动清单。 云监控数据通过 `hologres metric query` / `hologres metric latest` 获取；元仓与 PG 系统表数据通过 `hologres sql run` 获取，全程享有 hologres-cli 的安全护栏、JSON 结构化输出与自动错误重试能力。

aliyun Bundle

Hologres Query Execution Plan Analyzer and Optimizer. Use for analyzing SQL performance issues, understanding EXPLAIN/EXPLAIN ANALYZE output, interpreting query operators, and providing optimization recommendations for Hologres queries. Users may provide a query_id, raw SQL query, or pasted EXPLAIN ANALYZE result text. SQL execution / 慢日志查询通过 `hologres sql run` / `hologres sql explain`；GUC 通过 `hologres guc` 操作。 Triggers: "hologres explain", "query plan", "execution plan", "sql optimization", "query performance", "hologres performance", "slow query", "query optimizer", "explain analyze", "query_id"

aliyun Bundle

Hologres 实例内存使用率异常诊断技能。当用户提到内存打满、OOM、内存持续高位、Worker 内存不均、内存泄漏、内存倾斜、内存归因分析等场景时使用。 以 instance_id + 时间窗口为输入，自动完成内存水位形态判定（全局高 / 局部倾斜 / 持续不回落）、业务指标对齐、内存分类初筛（Query vs System/Cache）， 并沿 Query 主线、倾斜主线、Write/后台主线、System/元数据主线四大归因维度自动下钻，输出结构化的 Markdown 诊断报告与治理行动清单。 云监控数据通过 `hologres metric query` / `hologres metric latest` 获取；元仓与 PG 系统表数据通过 `hologres sql run` 获取；OOM/Jeprof/Coredump 通过 `holo oncall common` 获取。

aliyun Bundle

Hologres 实例健康诊断与巡检分析。当用户提到实例健康诊断、实例巡检、实例使用状况分析、慢查询分析、报错分析、Warehouse 资源分析、连接数分析、CPU 内存使用分析、查询失败排查等场景时使用。覆盖 Warehouse 资源巡检、FAILED 报错归类分析、CPU/内存粒度慢查询分析三大核心模块，输出结构化诊断报告和优化建议。 所有 SQL 通过 hologres-cli 执行，享有安全护栏、结构化 JSON 输出和自动错误重试能力。

commentary-dev Bundle

Fetch, poll, process, normalize, export, and sync Commentary Forms results. Use when a user asks to list form submissions, read embedded answers, process response-link results, export form results as JSON YAML CSV JSONL or another structured dataset, poll for new submissions, import or inspect canonical git-hosted result files, write final submissions back to GitHub through Commentary, or transform Commentary Forms result payloads for downstream analysis.