Data & Analytics

jignesh-ponamwar Skill

Analyze CSV and tabular data to generate insights, summaries, statistics, and visualizations. Handle data cleaning, aggregation, grouping, pivot tables, and outlier detection. Use when the user needs to analyze data, understand a dataset, find patterns, clean data, or generate a data summary.

jignesh-ponamwar Bundle

Write optimized SQL queries for complex data requirements. Handle multi-table joins, aggregations, window functions, CTEs, subqueries, and performance optimization. Use when the user needs to write a SQL query, optimize a slow query, understand a query plan, design a schema, or work with database data.

softwareone-platform Bundle

Triage MPT extension dashboard failures from App Insights or CSV: prepare a batch review of findings with proposed Jira actions, then apply approved decisions via the dashboard Jira task.

dragoon0x Skill

Design data visualizations including charts, graphs, and dashboards with attention to clarity, color use, and chart selection. Use whenever the user mentions data viz, charts, graphs, dashboards, analytics design, or needs to communicate numbers visually.

getnao Skill

Head of Data agent - creates reportings and ad-hoc analytics using nao MCP tools. Always use ask_nao to create conversations that persist in nao.

karim-bhalwani Bundle

Design and implement data pipelines using Medallion architecture, Data Vault 2.0, and Spark optimization. Use when building ETL/ELT processes, designing data schemas, optimizing Spark performance, implementing data governance, or architecting lakehouse solutions.

karim-bhalwani Bundle

Specialist in analyzing access logs to identify unused data structures, technical debt, and legacy patterns. Use when auditing data warehouses for deprecation candidates, detecting stale tables/views, identifying legacy application dependencies, or planning safe data asset retirement.

karim-bhalwani Bundle

Specialist in SQL query optimization—index strategies, EXPLAIN analysis, query tuning. Transforms slow queries into fast ones through systematic diagnosis and targeted optimization.

karim-bhalwani Bundle

Expert in dbt (data build tool) for SQL-first analytics engineering—model organization, incremental strategies, testing, documentation, and lineage management. Use when building dbt projects, designing transformation models, implementing incremental strategies, testing data quality, or managing dbt documentation.

mikechongcan Skill

Smart CSV importer with format auto-detection. Handles major banks in Canada and US, plus payment platforms (Stripe, PayPal, Wise, WeChat Pay, Alipay) and browser-assisted exports gathered through `/cfo-statement-export`. Use when importing bank or credit card CSV exports. CLEAR step: C (Capture)

cai-aa Skill

CSV Export

lazyfroglol Skill

Guidance for SQL query optimization tasks. This skill should be used when optimizing slow SQL queries, improving database performance, or rewriting queries to be more efficient. Covers query plan anal

the-artificer-of-ciphers-llc Bundle

Use BEFORE doing direct file search, bulk reads, data import/export, or routine coding edits in the main conversation. Routes work to the cheapest model that can do it correctly — haiku for search/IO, sonnet for coding, opus for orchestration/architecture. Triggers when about to call Read on >2 files, Grep/Glob across the repo, batch CSV/JSON transforms, or any "where is X / list all Y / count Z" question. Also triggers when the orchestrator (you, on opus) is about to write straightforward code that a sonnet subagent could handle.

the-artificer-of-ciphers-llc Skill

Apply the Law of Leaky Abstractions when someone is frustrated that a library, framework, or ORM isn't hiding complexity the way it promised, when debugging requires diving into implementation details that "shouldn't matter", or when deciding how much abstraction to build on top of something. Trigger on phrases like "the ORM is doing something weird", "I have to understand how X works even though I'm using library Y", "why do I need to know the underlying SQL?", "this abstraction is breaking down", or any situation where a layer of abstraction has forced someone to understand what it was supposed to hide.

sunilgentyala Skill

SQL injection expert methodology covering UNION-based, blind (boolean/time), error-based, and second-order injection. Includes WAF bypass, out-of-band exfiltration, and post-exploitation DB pivoting.

tushaarmehtaa Bundle

Plan, implement, or audit analytics, error monitoring, health checks, dashboards, and reporting. Use when designing events, consent-aware tracking, incident visibility, or observability.

v0lka Skill

Guides the agent to avoid common Go standard library mistakes when writing or reviewing Go code. Covers time.Duration misuse, time.After memory leaks, JSON handling pitfalls (type embedding, monotonic clock, map of any), SQL mistakes (sql.Open, connection pooling, prepared statements, null values, row iteration errors), closing transient resources (HTTP body, sql.Rows, os.File), missing return after HTTP error replies, and using default HTTP client/server without timeouts. Use when writing, reviewing, or refactoring code that uses the time, encoding/json, database/sql, net/http, or os packages.

biggora Bundle

Automate Google NotebookLM via the notebooklm-py Python library. Use this skill whenever the user wants to create, manage, or delete NotebookLM notebooks; add sources (URLs, YouTube, PDFs, files, text, Google Drive) to a notebook; ask questions or chat with notebook content; generate content like Audio Overview (podcast), Video Overview, Quiz, Flashcards, Slide Deck, Infographic, Report, Data Table, or Mind Map; download generated artifacts (MP3, MP4, PDF, PNG, CSV, JSON, Markdown); run web/Drive research and auto-import results; manage sharing, notes, and source full-text extraction; or automate any NotebookLM workflow programmatically. Trigger this skill for ANY request involving NotebookLM, notebooklm-py, Google NotebookLM automation, podcast/audio overview generation from notes, or bulk research pipelines.

spacezephyr Bundle

小红书个人笔记数据复盘——基于用户自己创作者后台（创作中心/蒲公英）的笔记数据，做漏斗定位、卡点归因和多篇横向规律发现。当用户说"笔记数据复盘""这条为什么没流量""帮我看看这条数据""小红书数据分析""曝光高但没人点""涨粉不行""哪类内容该加码""我导出了后台数据帮我看看"，或直接贴出后台数据截图/CSV/Excel/几个数字时使用。只分析用户自己账号的笔记表现，不抓取平台数据、不做刷量。

tddworks Skill

Manage In-App Purchases (IAPs) using the `asc` CLI tool. Use this skill when: (1) Listing IAPs: "asc iap list --app-id ID" (2) Creating IAPs: "asc iap create --type consumable|non-consumable|non-renewing-subscription" (3) Updating an IAP: "asc iap update --iap-id ID" (referenceName / reviewNote / familySharable) (4) Deleting an IAP: "asc iap delete --iap-id ID" (5) Submitting / unsubmitting: "asc iap submit", "asc iap unsubmit --submission-id ID" (6) IAP localizations: "asc iap-localizations list|create|update|delete" (7) IAP pricing: "asc iap price-points list", "asc iap prices set" (8) IAP offer codes (3 levels): "asc iap-offer-codes list/create/update", "asc iap-offer-codes prices list", custom codes, one-time codes (incl. `values` for redemption CSV) (9) IAP review screenshot: "asc iap-review-screenshot get|upload|delete" (10) IAP promotional images (1024x1024): "asc iap-images list|upload|delete" (11) User says "create in-app purchase", "list IAPs", "submit IAP", "delete IAP", "unsubmit", "IAP offer code

tddworks Bundle

Download sales, trends, financial, and analytics reports from App Store Connect using the `asc` CLI tool. Use this skill when: (1) Downloading sales reports: "asc sales-reports download --vendor-number ... --report-type SALES ..." (2) Downloading finance reports: "asc finance-reports download --vendor-number ... --report-type FINANCIAL ..." (3) Analytics reports: "asc analytics-reports request/list/reports/instances/segments" (4) Checking app sales, revenue, downloads, subscriptions, proceeds, or analytics (5) User says "download my sales report", "show sales data", "get financial report", "check my app revenue", "how many downloads", "subscription metrics", "app analytics", "app usage data", "engagement metrics"

tddworks Bundle

Manage TestFlight beta groups and testers using the `asc` CLI tool. Use this skill when: (1) Listing beta groups for an app (`asc testflight groups list`) (2) Creating internal or external beta groups (`asc testflight groups create --internal`) (3) Listing testers in a group (`asc testflight testers list --group-id <id>`) (3) Adding a single tester by email (`asc testflight testers add`) (4) Removing a tester from a group (`asc testflight testers remove`) (5) Bulk-importing testers from a CSV file (`asc testflight testers import`) (6) Exporting testers to CSV for re-use (`asc testflight testers export`) (7) User says "add beta tester", "invite tester", "remove tester", "import testers", "export testers", "list beta groups", or any TestFlight tester management task

testomatio Bundle

Configures and leverages the Testomat.io MCP server for test management analytics, run analysis, failure investigation, and defect triage. Use when the user needs to connect to Testomat.io via MCP, analyze test runs, cluster failures, investigate root causes.

testomatio Bundle

Migrate tests to Testomat.io from TestRail, XRay, Testmo, QMetry, Allure TestOps, TestCaseLabs, Qase, Zephyr, QTest, CSV/XLSX, or an unsupported TMS needing a custom converter or API script. Use when user wants to import tests from another TMS, move test suites to Testomat.io, or convert an export file to Testomat.io format.

tomimor Bundle

Build Meta Ads Manager bulk-import files (.xlsx + Unicode .txt) from a structured YAML brief, using the bundled v2.3 Ads Manager Template. Expands a creative matrix (titles x bodies x creatives) into one row per ad and validates every field against Meta's enums and 2026 character limits. Use when the user mentions Meta ads bulk, Facebook ads bulk, Ads Manager template, .xltx, bulk import, mass ad creation, AdsManagerTemplate, or wants to launch many ads at once.

tuana-vn Skill

Convert a source-backed patch or requirement impact analysis into contract-level test viewpoints, provenance-aware expected behavior, and spreadsheet-style Check ID matrices. Use when external operations, request/input dimensions, downstream data availability, field/data mapping, validation combinations, and observable results must be tested after a change.

tuana-vn Skill

Reconstruct persistence architecture and database/data schema from current source, ORM mappings, SQL, migrations, DDL, schema bootstrap, upgrade scripts, and runtime repository wiring; distinguish code-known schema from external-only details.

warpdotdev Bundle

GitHub repo metrics for your-org/your-repo. Tracks total stars, stars added, weekly contributors (unique humans across issues/PRs/comments), new and active PRs, new and active issues, unique visitors, unique clones, and pageviews. Stores traffic + star snapshots to CSV for historical tracking. Use when the user asks for "repo metrics", "GitHub stats", "OSS metrics", "how's the repo doing", or wants contributor/traffic numbers.

warpdotdev Bundle

Compute weekly community and reach metrics from platform analytics exports (Slack CSV, X/Twitter CSV, LinkedIn XLS, YouTube CSV) and the Reddit API. Use when the user wants to pull weekly numbers for Slack, X, LinkedIn, YouTube, or Reddit — including impressions, engagement rates, messages, posts, views, subscribers added, and watch time. Also use when the user asks to "update the metrics", "get this week's numbers", "fill in the sheet", or wants to aggregate daily analytics into weekly totals.

warpdotdev Skill

Triage pending gift-card rewards from a rewards spreadsheet. Fetches rows where "Sent?" is empty, flags duplicates and prior rewards, identifies the reward program, and runs referral fraud checks. Use when the user asks for "pending gift cards", "gift card triage", "gift cards to send", "check gift card sheet", or "triage rewards".

warpdotdev Bundle

Analytics on #feed-mentions reactions and responder activity. Shows reaction distribution (✅ replied, ❌ skip, ❤️ like, ⏭️ agent-skipped), who responds most, daily breakdowns, and trends over time. Generates charts and sends a DM summary. Use when the user asks for "reaction analytics", "who's responding to mentions", "mention reaction stats", "responder breakdown", or wants to understand team engagement patterns in #feed-mentions. Also runs as a scheduled daily report.

warpdotdev Skill

Build NPS feedback rollout/performance reports by combining email-platform send metrics (e.g. Customer.io) with NPS submissions from your data warehouse. Use when the user asks for an NPS report, NPS send delivery/open/click rates, response rate, trailing 30-day NPS score, or comment highlights/patterns from NPS responses.

cfregly Skill

Capture any performance measurement (NCCL bandwidth, MFU, step-time, latency, throughput, kernel-time, anything operator-defined) into a versioned baseline registry under experiments/artifacts/perf-baselines/. Workload-agnostic. Records full provenance (operator, cluster, cohort, git SHA, capture command, raw payload sha256) so future regressions can be diffed deterministically by the paired perf-baseline-diff skill. Triggers on "record baseline", "register baseline", "baseline this measurement", "save as baseline", "perf-baseline-record", "baseline perf-of-record", or any combination of "record / register / save / capture / store" with "baseline / golden / reference / perf-of-record".

cfregly Skill

Reusable wrapper for the knowledge-base-first SQL pattern, adapted to the zymtrace ClickHouse profiling backend. Operator names the metric / question / time range. Skill anchors the `zymtrace_profiling.events` schema first (DESCRIBE + label-value + cardinality probes), derives the safe narrow SQL, runs it via `kubectl port-forward` + `curl -X POST`, and saves the raw payload to a provenance-bearing bundle per the perf-lake-contract. Workload-agnostic. The ClickHouse cousin of `prometheus-anchored-query`. Triggers on "zymtrace anchored query", "clickhouse anchored query", "zymtrace query", "save zymtrace payload", "anchored zymtrace", "anchored clickhouse", or any combination of "zymtrace / clickhouse / profile" with "anchored / safe / provenance / query / saved-payload".

cfregly Skill

Capture per-kernel CUDA profile data from a live vLLM inference pod via an nsys debug sidecar (no production image rebuild). Outputs `.nsys-rep` + summary CSV + top-kernels table that joins with the zymtrace per-kernel breakdown and the inference-perf-bench bundle's `inference_perfbench_v1.json`. Triggers on "kernel profile", "nsys profile", "what's in the native bucket", "per-kernel breakdown", "ncu", "Nsight Systems", "kernel-level analysis", or any combination of "profile / capture / nsys / ncu" with "vllm / kimi / glm / deepseek".

cfregly Skill

Capture per-kernel CUDA hardware-counter data (occupancy, achieved warps active, regs/thread, smem/block, DRAM throughput, arithmetic intensity, branch divergence %, warp-stall reason %) from a live vLLM inference pod via an `ncu` debug sidecar (no production image rebuild). Outputs `.ncu-rep` + per-kernel CSV. Scoped via `--kernel-name` to avoid the 10-100x kernel-replay slowdown that an unscoped ncu attach would impose on serving. Pairs with `inference-kernel-profile` (nsys: absolute kernel duration + cuda-graph timeline) and `zymtrace-anchored-query` (sample- share + kernel-name resolution). Triggers on "ncu", "nsight compute", "kernel internals", "occupancy", "register pressure", "shared memory", "DRAM bandwidth", "roofline", "arithmetic intensity", "warp stalls", "branch divergence", or any combination of "ncu / nsight-compute / occupancy / regs / smem / dram / roofline" with "vllm / kimi / glm / deepseek / inference".