Data & Analytics

fevra-dev Bundle

Selects and applies cryptographic primitives for privacy-by-design — systems where selective disclosure is structural, not procedural. Use when user says "build this with privacy built in", "how do I avoid collecting identity", "zero-knowledge proof for this", "anonymous credential", "can I prove X without revealing Y", "stealth address", "blind signature", "private transaction", "MPC", "homomorphic encryption", "differential privacy for analytics", "TEE", "can I verify without seeing the data", or when designing a new system, protocol, or product and wants privacy to be architectural rather than a policy layer added afterward. The Cypherpunk layer of the privacy suite — implements Eric Hughes' (1993) selective disclosure principle and Timothy May's (1988) anonymous transaction system program using contemporary cryptographic primitives. Distinct from all other privacy skills — those audit and repair; this one builds.

fla-org Bundle

Guidelines for Ascend NPU kernel / Triton-Ascend backend performance work in the FLA repo. Covers profiling with torch_npu, PipeUtilization/MemoryUB CSV analysis, Cube/Vector/MTE/UB bottleneck diagnosis, and kernel optimization (UB tiling, grid splits, fusion/split, varlen, G_T_CONTIG gate loading, constexpr DMA-path split / TAIL_MODE, extract_slice, MTE OOB, int32 address overflow, tl.cast vs constexpr .to, make_block_ptr int32 offsets, correctness gates, tl.dot left-operand clobber). NPU kernels must not use num_warps/num_stages. Per-kernel catalog: references/cases.md (incl. causal_conv1d core-grid). Use when working on NPU profiling, kernel_details/op_statistic, aic_metrics, fla triton_ascend backends (ops or modules), g transpose stride-1, UB overflow, dual-path DCE, grid limits, int64 pointer math, tl.dot reuse, or Ascend performance.

jetbrains Bundle

SQL policy & pitfalls — query correctness, indexing strategy, safe migrations. Use when writing SQL, diagnosing slow queries, designing schemas, or reviewing Flyway/Liquibase migrations. Covers the traps LLMs miss by default: NOT IN with NULLs, function-on-column breaking indexes, OFFSET on large tables, NOT NULL column lock, CREATE INDEX blocking writes, immutable migrations.

materializeinc Skill

This skill should be used when investigating a Materialize environment that is unhealthy, slow, lagging, restarting, or refusing connections, and the evidence has to come from the monitoring stack rather than a SQL session. For operators and Materialize developers alike.

mi4646 Bundle

当用户有一份音乐收藏、喜欢列表导出、歌单分享链接、本地 txt/csv 歌曲列表或从音乐 App 复制的曲目清单，想把它排序、分类、拆分成多个歌单或整理以便导入时使用。触发词包括"整理歌单""分类""拆分成歌单""做成运动/专注/夜晚歌单""排序""导入"，以及提到网易云、QQ音乐、Spotify 或本地歌曲列表时。

microsoft Bundle

Record-level CRUD and bulk operations — create, update, delete, upsert, CSV import, multi-table foreign-key loads, AI-generated sample data. Use when the user wants to write, modify, seed, or import data records into Dataverse tables.

microsoft Bundle

Bulk reads, multi-page iteration, and analytics over Dataverse data. Use when the user wants to read, list, filter, aggregate, group, join, or analyze records — including pandas DataFrame workflows and notebook exploration.

neoeinstein Bundle

Use when writing Rust code with the facet ecosystem - derive(Facet), facet-json/facet-csv serialization, figue CLI/config, facet-error derives, facet-validate constraints, strid braids, rediff structural diffs, or serializing rust_decimal::Decimal/jiff/chrono types under facet. Serde-to-facet attribute mapping, Decimal/money patterns, and gotchas verified against facet 0.46.

itssungho17 Bundle

Third step in the SSDAM data chain. Reads data-modeling output and produces DDL SQL (CREATE TABLE, INDEX, constraints). Its output is consumed by backend-design as the authoritative schema reference.

iwritec0de Bundle

This skill should be used when the user asks to "analyze data", "create a chart", "parse CSV", or mentions data visualization. Provides guidance for data analysis workflows.

iwritec0de Skill

Use this skill when the user wants to analyze data, perform analytics on datasets, or create data reports. Trigger when the user mentions "analyze data", "data analytics", or "data reports".

lichamnesia Bundle

Make a game's core loop provable — seeded random streams, a fixed logic timestep, a headless match harness that runs full AI matches without rendering, automation tests for gameplay math, and the evidence artifacts (seeded replays, CSV dumps, logs, screenshots, performance baselines) that let an agent or a reviewer verify a claim instead of trusting it. Use when a build must be shown to work rather than asserted to work, when AI matches must be proven to terminate, when a change needs a before/after comparison, when bugs reproduce only sometimes, or when a project needs to be resumable by an agent with no conversation history.

lulu-eva Bundle

TGW 发票报销整理 Skill。用于整理发票、发票报销、文本型 PDF 发票识别、高铁票报销、差旅发票、按模板填写发票、发票下载目录生成 Excel 报销表。递归扫描可抽取文本的 PDF 发票和铁路电子客票，按默认 6 列输出，自动按发票号码去重，整理完成后自动执行复查，重点区分客运服务费、代订机票费、铁路电子客票和普通电子发票；扫描件、图片发票和原生 OFD 先列为待处理，不硬猜。

majdghithan Skill

Migrate a Laravel application's database from MySQL/MariaDB to PostgreSQL safely. Use when moving a Laravel app to Postgres, when Eloquent/queries behave differently after switching drivers, or when planning a MySQL->Postgres cutover. Covers the migration strategy (pgloader vs query-builder), the Laravel-specific behavior differences that silently break (case sensitivity, booleans, the id-sequence trap, raw SQL, GROUP BY strictness), and a verification checklist.

the-openroad-project Skill

Run a measurement study on the flow and publish it as a closed, reference-only bazel-orfs pull request. Covers the two kinds of patch a study carries into OpenROAD, ORFS or yosys (instrumentation that stays on the study branch, candidate fixes carried in patches/ one concern each), the edit/measure loop, the noise discipline that makes a runtime or QoR number trustworthy (byte-identical inputs, fixed and witnessed knobs, repeats with 2σ and a stated resolution, an idle machine asserted not hoped), the harness shape (manual flow targets, unit-tested parsers, a report that discovers results and says "not yet measured"), and the PR shape (study/<slug> branch, the finding as the title, graphs and tables in the body with images committed to the branch, raw data as a CSV comment, a closing comment). Use when asked to "study", "measure", "find out where the time goes", "A/B a knob or patch", or to document design decisions that go into an upstream PR.

obviousbread Bundle

Объединяет разнородные .xls/.xlsx со списками сотрудников, штатными расстановками и кадровыми выгрузками в один проверенный сводный .xlsx. Автоматически определяет формат каждого файла, очищает ФИО и формирует колонки Сотрудник, Дата рождения, Должность, Подразделение и Филиал. Использовать по запросам: список сотрудников, штатные сотрудники, штатная расстановка, кадровая выгрузка, сводный список, объединить таблицы сотрудников, консолидация по филиалам, привести списки к одному виду, очистить ФИО.

opsmill Bundle

Create and manage Infrahub transforms. Use when building data transformations, config generation, or any workflow that converts Infrahub data into a different format (JSON, text, CSV, device configs) using Python or Jinja2 templates.

qwqqwqis666 Bundle

Audit CSV and delimiter-separated text files for blank or duplicate headers, inconsistent row widths, and fully empty data rows. Use when validating CSV structure before import, debugging malformed tabular exports, checking data handoffs, or producing a machine-readable quality report without third-party packages.

rweisssieker-xp Skill

Vendor-neutral ERP process auditor for CIO and COO transformations. Use it to assess O2C, P2P, R2R, M2M, Warehouse, Inventory, Pricing, and Master Data across SAP, D365, Oracle, NetSuite, Infor, AX, or Business Central.

sakumyz Bundle

将 Excel 文件转换为 Markdown 表格，支持合并单元格处理、多工作表输出、基础字体语义（粗体/斜体）与超链接转换。适用于将式样书、数据表转为可读的 Markdown 文档。

sakumyz Bundle

将Excel工作簿按工作表拆分为独立的Excel文件，每个工作表生成一个单独的文件。适用场景：(1) 将多工作表Excel文件拆分为单独文件，(2) 提取特定工作表为独立文件，(3) 分发合并工作簿中的工作表，(4) 为单独处理或分发创建工作表副本。

muqian2026-rgb Bundle

用 Docling 将 PDF/DOCX/PPTX/XLSX 等转为 Markdown，写入 knowledge-base/raw/， 供后续 wiki ingest。口令：「docling 转一下」「PDF 进知识库」。需本机已 pip install docling。

nicolasflores9 Bundle

Joomla 5/6 database queries: SELECT, INSERT, UPDATE, DELETE, JOINs, Prepared Statements, DatabaseDriver, query chaining, SQL injection prevention, advanced filtering, sorting and pagination.

xorbitsai Skill

A native .xlsx styled as a financial, KPI, or dashboard report: "Excel report", "financial report", "KPI dashboard", "monthly report". Opens cleanly in Excel / Google Sheets / Numbers.

yanhua1010 Bundle

分析单篇、系列、周度或月度自媒体数据并形成可执行复盘。用于读取平台后台截图、CSV、表格、公开链接或用户提供的数据，计算关注效率和深度互动，比较同平台基线，归因选题、标题、封面、开头、结构、发布时间、标签和行动，并输出加码、改包装、再适配、停止或继续收集样本的决策。

yasserstudio Skill

Use whenever the user writes SQL DDL for a Perfex CRM module, adds a foreign key referencing `tblcontacts`, `tblstaff`, `tblclients`, `tblinvoices`, or any `tbl*` core table, designs `tbl<module>_<entity>` schema, writes `install.php` / `uninstall.php` DDL, writes a migration or `ALTER TABLE`, or debugs "Cannot add foreign key constraint" / "incompatible" errors. Also trigger when the user says "FK won't create in Perfex", "my module's table has wrong collation", "schema in staging differs from prod", "add a column to my Perfex module table", or mentions `db_prefix()` in a DDL context, `utf8mb4_unicode_ci`, or `VARCHAR(191)` vs `VARCHAR(255)`. Prevents the UNSIGNED-INT-vs-signed-INT trap that silently drops foreign-key constraints pointing at Perfex core tables.

abtdomain Skill

Discover hot or emerging domain-registration keywords, validate each detected spike against an aligned new-registration cohort from the global open domain market using .com participation, concentration, persistence, and naming-structure signals, and optionally surface related lifecycle inventory without recommending acquisition. Use when a user wants to browse registration trends. For a full evidence analysis of one known keyword use keyword-intel; for a specific domain use domain-analyze; for market news use domain-market-beat.

al-janef Bundle

Audit web application code for common vulnerabilities — the OWASP Top 10 class of bugs: injection (SQL/NoSQL/command), XSS, CSRF, SSRF, IDOR / broken access control, insecure deserialization, unsafe file upload, and security misconfiguration. Use this skill whenever the user asks to review code for security, find vulnerabilities, do a security pass before shipping, or is writing code that handles user input, database queries, file uploads, or external requests — even if they only say "review this" or "is this safe?". Defensive only: this skill finds and fixes weaknesses, it does not write exploits.

zavora-ai Skill

Create, inspect, edit, analyze, and verify spreadsheet files including XLSX, XLSM, CSV, and TSV. Use for formulas, formatting, tables, charts, financial models, data cleanup, or any task whose primary input or output is a spreadsheet.

zenstackhq Bundle

Query and mutate data with the ZenStack V3 client. Use when creating a ZenStackClient (SQLite/Postgres/MySQL dialect), using the Prisma-compatible ORM API (findMany/create/update/etc.), relation queries (select/include), computed fields, polymorphic models, strongly-typed JSON, data validation on writes (@email/@length/@@validate), transactions, the Kysely query-builder escape hatch ($qb / $expr), custom procedures, raw SQL, logging, or handling ORMError.

treylom Skill

Content extraction routing for KM - local documents (HWP/HWPX/PDF/DOCX/XLSX), web, and vault sources. Use when input is a local file or when km-workflow reaches Phase 2 with a non-URL input.

databuddy-analytics Bundle

Build or review Bun fullstack TypeScript code with Drizzle-backed SQL. Use for backend or cross-layer changes touching API/domain logic, schema or query design, migrations, runtime/type debugging, and boundary validation between contracts, business rules, and persistence.

databuddy-analytics Skill

Use whenever the Databuddy MCP server is available and the user wants analytics, errors, vitals, investigations, flags, links, annotations, funnels, or goals queried or changed. Covers get_data, capabilities, get_schema, the investigation lifecycle, and workspace mutations. Not for SDK integration help (use databuddy) or monorepo implementation (use databuddy-internal).

stvlynn 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

subinium Bundle

Runs a deliberately small, hand-curated security sweep across a repo. Finds secrets committed to git, SQL/shell injection patterns, XSS sinks, path traversal, dangerous deserialization, missing cookie flags, wildcard CORS, and tracked credential files. Triages every finding as real / false-positive / needs-review before reporting. Language-agnostic, no heavyweight scanner required.

thtskaran Bundle

Use this skill any time the user wants to FIND specific people online and put them in a spreadsheet — recruiting candidates, sales prospects, outreach lists, research participants, journalist sources, podcast guests, influencer lists, lead lists, beta testers, advisors, or hires. Triggers on "find me N people who…", "build a list of contacts who…", "source candidates for…", "I need 50 prospects who…", "scrape Reddit/LinkedIn/X for [persona]", "build a Google sheet of people who…", "prospect list", "lead list", "candidate list", "outreach list", "shortlist of [role]", or any variant where the deliverable is a structured list of named individuals with contact info and personalized notes. Runs iterative BrightData scraping across LinkedIn, Reddit, X, Instagram, TikTok, YouTube, GitHub, forums; uses the worldbuilder lens for per-person commentary and outreach angles; outputs a multi-sheet xlsx (Google-Sheets-compatible). Prefer this over generic web search whenever the deliverable is a list of people.