Data & Analytics

xiaomimimo Bundle

Use this skill for quantitative product or business analysis: data quality checks, metric diagnostics, KPI design and reporting, dashboards, analytical reports, charts, notebooks, market sizing, semantic layers, and evidence-backed recommendations. Also use it whenever Data Analytics is explicitly invoked.

xiaomimimo Bundle

Build a durable analytical report with an answer-first narrative, evidence-backed findings, charts or tables, caveats, recommendations, and source context.

xiaomimimo Bundle

Prepare KPI readouts, scorecards, WBR/MBR/QBR updates, and executive summaries from quantitative business or product metrics; use when the task is to report status, compare against targets, explain validated drivers, and state operating implications.

xiaomimimo Bundle

Design, create, revise, or QA quantitative charts and figures for reports, dashboards, notebooks, slides, files, or inline analytical answers.

xiaomimimo Bundle

Build a source-backed dashboard or monitoring view with clear metrics, filters, visual hierarchy, definitions, refresh context, and QA.

xiaomimimo Bundle

Assess whether structured data, query results, dashboards, or analytical evidence are trustworthy enough to use. Use when the task is to check data quality, reconcile conflicting sources or metric definitions, or decide whether evidence is safe to cite.

xiaomimimo Bundle

Narrow conversion skill. Invoke only when the user explicitly asks to convert an existing Data Analytics report, dashboard, or inline chart export into a PDF artifact.

breverdbidder Bundle

When the user wants to create, plan, or optimize a lead magnet for email capture or lead generation. Also use when the user mentions "lead magnet," "gated content," "content upgrade," "downloadable," "ebook," "cheat sheet," "checklist," "template download," "opt-in," "freebie," "PDF download," "resource library," "content offer," "email capture content," "Notion template," "spreadsheet template," or "what should I give away for emails." Use this for planning what to create and how to distribute it. For interactive tools as lead magnets, see free-tools. For writing the actual content, see copywriting. For the email sequence after capture, see emails.

kitfunso Skill

Pre-landing PR review. Analyzes diff against the base branch for SQL safety, LLM trust boundary violations, conditional side effects, and other structural issues. Use when asked to "review this PR", "code review", "pre-landing review", or "check my diff". Proactively suggest when the user is about to merge or land code changes.

jasonkneen Skill

Research a topic, market, competitor set, product, person, or question and turn findings into a useful Markdown, PDF, DOCX, CSV, or brief artifact. Use for competitor research, market intel, source-backed summaries, web research, research briefs, and shareable reports.

jasonkneen Skill

Research a topic, market, competitor set, product, person, or question and turn findings into a useful Markdown, PDF, DOCX, CSV, or brief artifact. Use for competitor research, market intel, source-backed summaries, web research, research briefs, and shareable reports.

yuuqq Bundle

Spreadsheet toolkit (.xlsx/.csv). Create/edit with formulas/formatting, analyze data, visualization, recalculate formulas, for spreadsheet processing and analysis.

hebertzhu Skill

Analyze git repositories to build a security ownership topology (people-to-file), compute bus factor and sensitive-code ownership, and export CSV/JSON for graph databases and visualization. Trigger only when the user explicitly wants a security-oriented ownership or bus-factor analysis grounded in git history (for example: orphaned sensitive code, security maintainers, CODEOWNERS reality checks for risk, sensitive hotspots, or ownership clusters). Do not trigger for general maintainer lists or non-security ownership questions.

patinaproject Bundle

Use for 'why does X work this way', 'why we picked Y', design rationale, regressions, postmortems, or data-backed thresholds. Discovers available MCPs and queries each evidence category (source control, issue tracker, long-form docs, real-time chat, infrastructure observability, error tracking, product analytics warehouse) in parallel, then returns a cited read on decisions and tradeoffs. Use how for runtime behavior.

nesnilnehc Bundle

Review SQL and query code for injection risk, parameterization, indexing and performance, transactions, NULL and constraints, and dialect portability. Language-only atomic skill; output is a findings list.

dashed Bundle

jq — the command-line JSON processor and its filter language for slicing, filtering, transforming, and reshaping JSON. Use when extracting fields or nested paths from JSON on the command line, filtering/`select`-ing arrays of objects, reshaping or building new JSON objects, emitting CSV/TSV with `@csv`/`@tsv`, getting raw unquoted strings for shell capture with `jq -r`, slurping (`-s`) and aggregating JSON (`add`, `group_by`, averages), parsing API responses, NDJSON pipelines (`-c`), or injecting shell values safely with `--arg`/`--argjson`/`$ENV`. Triggers on mentions of jq, the `jq` command, the jq filter language, `jq -r`, `.foo`/`.[]` filters, `@csv`/`@tsv`, slurp/`fromjson`, or "filter/transform JSON in the terminal". This is the jq CLI and filter language, NOT a generic JSON tutorial and NOT jq language bindings (jaq, gojq, PyPI `jq` — defer those to their own docs).

dashed Bundle

DuckDB — the in-process, columnar, vectorized OLAP SQL engine shipped as a single zero-dependency binary ("SQLite for analytics"). Use when querying Parquet/CSV/JSON files directly with SQL and no load step, doing in-process analytical/OLAP queries and aggregations, using the `duckdb` CLI shell (interactive REPL or `-c`/`-json` one-shots for scripts and agents), writing "friendly SQL" (FROM-first, `SELECT * EXCLUDE`, `GROUP BY ALL`, `SUMMARIZE`, `PIVOT`), converting CSV↔Parquet↔JSON with `COPY`, reading remote data over HTTP/S3 via the httpfs extension, or `ATTACH`-ing a live Postgres/MySQL/SQLite database. Triggers on mentions of duckdb, the `duckdb` command, `.duckdb` files, replacement scans, `read_parquet`/`read_csv`, httpfs/`CREATE SECRET`, or "embedded analytics database". This is the DuckDB CLI and SQL dialect, NOT a generic SQL tutorial and NOT the DuckDB client libraries (Python/Node/Java — defer those to duckdb.org).

dashed Bundle

Plain-text double-entry accounting with hledger. Use when recording transactions, checking balances, generating financial reports (balance sheet, income statement, cashflow), importing CSV bank statements, budgeting, tracking time, managing multiple currencies, or doing year-end closing. Triggers on mentions of hledger, ledger-cli, journal files, double-entry accounting, balance assertions, or plain-text accounting.

xyva-yuangui Bundle

文档处理全能套件。统一处理 PDF/Word/Excel/PPT/Markdown 的读取、生成、转换和问答。消除用户在多个文档skill间的选择困难。

ndesv21 Skill

TikTok platform integration. Manage videos, view analytics, and track engagement.

brainally Skill

Cohort analysis and retention optimization framework. Identifies retention drivers and churn factors.

christopherlouet Skill

Document generation (PDF, DOCX, XLSX, PPTX). Trigger when the user wants to create a document, generate a report, export to PDF/Word/Excel/PowerPoint, or produce an office file.

agenticaiplan Bundle

大模型数据动态定期洞察 Skill。用于自动从小红书、微信公众号、百度、行业媒体采集最新数据，**重点监控头部厂商和外部数商的"招募动态"**（数据标注任务招募、专家招募画像），推断下一代模型发力方向，生成 Excel 报告和市场洞察。 关键原则：凡是用户问到大模型数据相关市场动态，不能仅凭训练知识回答——必须启动此 Skill 进行实时信息采集，因为这个领域变化极快，训练知识几乎肯定已过时。 以下场景请务必触发此 Skill（即使你认为自己能直接回答）： - 询问大模型数据标注、训练数据、数据服务市场的"最新动态"、"最近情况"、"现在格局" - 询问字节/百度/阿里/腾讯/DeepSeek 在数据层面的发力方向或合作情况 - 询问数据服务商（数据堂、海天瑞声、倍赛科技、博登智能、Talents AI、一面千识等）的新进展、融资、中标 - 要求搜集/整理/调研大模型专家标注、预训练数据、RLHF数据、SFT数据相关内容 - 要求监控"数据标注任务招募"、"专家招募画像"，反推模型发力方向 - 要求评估外部数商（Talents AI、一面千识等）的生产能力和专家储备质量 - 要求调研 OpenAI/Google/Meta/Apple/Microsoft 等海外大厂的数据动态 - 要求生成大模型数据市场报告或 Excel 汇总表 - 要求设置定时调研任务 - 说"开始调研"、"帮我调研"、"llm data research"、"数据标注市场分析"、"招募监控" 判断标准：如果用户的问题需要2024-2025年的具体数字、融资动态、合作线索、中标公告、招募信号等实时信息，就一定要触发此 Skill，而不是凭知识作答。

agenticaiplan Bundle

用于批量测试多个大模型对同一组 prompt 的响应，自动化对比不同模型的输出质量并将结果保存到 Excel 表格中。当用户需要对比模型性能、收集测试数据或进行 benchmark 测试时使用。

alebgl77 Skill

Builds a full statement set — P&L, balance sheet, and indirect cash flow — from a trial balance or transaction export, mapping accounts to a standard chart and proving every tie-out in code. Use when the user says 'build a P&L from this trial balance', 'turn this export into financials', 'I need a balance sheet for the board', or 'my statements don't tie'. Works on pasted data or CSV/XLSX files.

liangdabiao Bundle

解读亚马逊品牌分析数据并采取行动。分析搜索频率排名（SFR）、点击份额、转化份额、市场购物篮分析和复购行为模式，以优化你的亚马逊策略。

luc4n3x Skill

Database and SQL engineering for relational persistence, migrations, transactions, query correctness, indexing, pagination, ORM behavior, and data-safe rollout. Use when code touches schemas, queries, transactions, repositories/ORMs, migrations, or database performance.

zeroz-lab Skill

安全加固——假设每个外部输入是敌意的。当涉及用户输入、认证、数据存储、上线前审查，或提到"XSS""SQL注入""CSRF""OWASP"

steffen025 Skill

Utility and helper skills. USE WHEN aphorisms, quotes, browser automation, Cloudflare, create CLI, build CLI, create skill, process documents, PDF, Word, Excel, evaluations, evals, fabric patterns, PAI upgrade, parser, prompting, templates.

steffen025 Bundle

Excel file processing. USE WHEN xlsx, Excel, spreadsheet. SkillSearch('xlsx') for docs.

24601 Bundle

Pre-landing PR review. Analyzes diff against the base branch for SQL safety, LLM trust boundary violations, conditional side effects, and other structural issues. Use when asked to "review this PR", "code review", "pre-landing review", or "check my diff". Proactively suggest when the user is about to merge or land code changes.

dashed Bundle

The PostgreSQL SQL dialect and data types that set Postgres apart from generic SQL. Use when writing or debugging Postgres-specific SQL — upsert (`INSERT ... ON CONFLICT DO UPDATE/NOTHING`), `RETURNING` (incl. `OLD`/`NEW`), `MERGE`, CTEs (`WITH`/`MATERIALIZED`/recursive/data-modifying), window frames, `GROUPING SETS`/`CUBE`/`ROLLUP`, `DISTINCT ON`, `LATERAL`, `FILTER`, generated & identity columns, declarative partitioning, `jsonb` operators + jsonpath + SQL/JSON (`JSON_TABLE`/`IS JSON`), arrays, ranges & multiranges, composite/enum/domain types, and functions like `uuidv7()`/`gen_random_uuid()`/`ANY_VALUE()`. Triggers on `ON CONFLICT`, `MERGE`, `jsonb`, `@>`/`->>`, `GENERATED ... AS IDENTITY`, `PARTITION BY`. Disambiguation — this is the SQL dialect & types; for the `psql` client use psql, for tuning/EXPLAIN/indexes use postgres-performance, for config/auth/backup use postgres-admin, for contrib use postgres-extensions. Features carry inline `(pgNN+)` tags; unlisted = long-standing (bedrock since 9.x).

dashed Bundle

PostgreSQL server administration & operations — DBA work on a running cluster. Use when configuring a server (postgresql.conf, ALTER SYSTEM, reload vs restart, GUCs), managing roles & privileges (CREATE ROLE, GRANT/REVOKE, DEFAULT PRIVILEGES, predefined roles, membership), authentication (pg_hba.conf, scram-sha-256, peer/cert/ldap), backups & restore (pg_dump/pg_dumpall/pg_restore, pg_basebackup, incremental backups, PITR), replication & HA (streaming, logical publications/subscriptions, replication slots, failover, synchronous commit), pg_upgrade, or monitoring (pg_stat_activity, pg_stat_io, pg_stat_progress_*, log settings, checkpoints, connections). Server-side ops — for the psql client use `psql`, for SQL & query syntax `postgres-sql`, for query tuning & autovacuum mechanics `postgres-performance`, for contrib modules `postgres-extensions`. Features added in a release are tagged inline like `(pg16+)`; untagged items are bedrock (PostgreSQL 9.x or earlier). Verify with `SHOW server_version`.

dashed Bundle

PostgreSQL extension management and the bundled `contrib` catalog. Use when running `CREATE EXTENSION` / `ALTER EXTENSION ... UPDATE` / `DROP EXTENSION`, listing extensions (`\dx`, `pg_available_extensions`), or choosing which contrib module enables a feature — FDWs (`postgres_fdw`, `dblink`, `file_fdw`), trigram/fuzzy search (`pg_trgm`, `fuzzystrmatch`), crypto/UUIDs (`pgcrypto`, `gen_random_uuid`), types `hstore`/`ltree`/`citext`/`cube`, query stats (`pg_stat_statements`, `auto_explain`), index helpers (`btree_gin`, `btree_gist`, `bloom`), or storage forensics (`pageinspect`, `amcheck`, `pg_surgery`). Also covers trusted (non-superuser) extensions, `shared_preload_libraries`, and `CASCADE`. Disambiguation — extension management plus the contrib catalog; use psql for the client, postgres-sql for core SQL, postgres-performance for tuning *with* these extensions, postgres-admin for server config. Version notes are inline `(pgNN+)`; bedrock modules are unannotated, see references/version-features.md.

dashed Bundle

PostgreSQL query & performance tuning — reading EXPLAIN / EXPLAIN ANALYZE plans, choosing and designing indexes, fixing planner row-estimate errors with statistics, and diagnosing MVCC bloat / VACUUM. Use when a query is slow, when reading an EXPLAIN/EXPLAIN ANALYZE plan (seq vs index vs bitmap scan, nested-loop/hash/merge join, "Rows Removed by Filter", estimate-vs-actual skew), when choosing an index type or columns to index (btree/GIN/GiST/SP-GiST/BRIN/hash, multicolumn/partial/expression/covering), when ANALYZE/extended statistics give bad estimates, when tables bloat or autovacuum lags, or when tuning planner GUCs (random_page_cost, work_mem, effective_cache_size, enable_*). This is performance tuning — for the psql client see psql, for writing SQL/DDL see postgres-sql, for server config/replication & autovacuum GUC tuning see postgres-admin, for installing perf extensions (pg_stat_statements, auto_explain) see postgres-extensions. Newer features are tagged inline (pgNN+); PG18 is stable, PG19 is beta.

googlecloudplatform Skill

Enforces data governance by verifying Knowledge Catalog Aspects before recommending BigQuery tables.