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데이터 · Agent Skills

선정한 GitHub 저장소의 스킬을 소속 저장소의 Star 수와 스킬 이름으로 정렬합니다. 번호는 목록의 위치이며, Star는 저장소 지표입니다. 분류는 규칙에 따른 추론이고 라이선스 검증 대기는 명확히 표시합니다. 주요 작업별로 카테고리를 살펴보세요. 범위를 좁힌 다음 각 후보의 입력, 출력과 원본 파일을 확인하세요.

스냅샷 수집 시간:

현재 1~26 / 총 26개의 스킬을 표시하고 있습니다.페이지 1/1

xlsx

Use this skill any time a spreadsheet file is the primary input or output. This means any task where the user wants to: open, read, edit, or fix an existing .xlsx, .xlsm, .xltx, .csv, or .tsv file (e.g., adding columns, computing formulas, formatting, charting, cleaning messy data); create a new spreadsheet from scratch or from other data sources; or convert between tabular file formats. Trigger especially when the user references a spreadsheet file by name or path — even casually (like "the xls

anthropics/skills저장소 Star 185k
라이선스: 라이선스 파일 확인 필요
출처 및 문서

skills/xlsx/SKILL.md

analyze

Answer data questions -- from quick lookups to full analyses. Use when looking up a single metric, investigating what's driving a trend or drop, comparing segments over time, or preparing a formal data report for stakeholders.

anthropics/knowledge-work-plugins저장소 Star 34k
라이선스: 라이선스 파일 확인 필요
출처 및 문서

data/skills/analyze/SKILL.md

build-dashboard

Build an interactive HTML dashboard with charts, filters, and tables. Use when creating an executive overview with KPI cards, turning query results into a shareable self-contained report, building a team monitoring snapshot, or needing multiple charts with filters in one browser-openable file.

anthropics/knowledge-work-plugins저장소 Star 34k
라이선스: 라이선스 파일 확인 필요
출처 및 문서

data/skills/build-dashboard/SKILL.md

comp-analysis

Analyze compensation — benchmarking, band placement, and equity modeling. Trigger with "what should we pay a [role]", "is this offer competitive", "model this equity grant", or when uploading comp data to find outliers and retention risks.

anthropics/knowledge-work-plugins저장소 Star 34k
라이선스: Apache-2.0
출처 및 문서

human-resources/skills/comp-analysis/SKILL.md

create-viz

Create publication-quality visualizations with Python. Use when turning query results or a DataFrame into a chart, selecting the right chart type for a trend or comparison, generating a plot for a report or presentation, or needing an interactive chart with hover and zoom.

anthropics/knowledge-work-plugins저장소 Star 34k
라이선스: 라이선스 파일 확인 필요
출처 및 문서

data/skills/create-viz/SKILL.md

crm-autopilot

Keeps the CRM current without the owner ever opening it. Creates and updates contacts and deals from email, calendar, and call transcripts; logs activity automatically; drafts follow-ups on deals that have gone quiet; and maintains a next-step queue so nothing sits unowned. Runs on demand or on a schedule, includes a hygiene sweep for duplicates and stale records, and builds a lightweight CRM in a spreadsheet for owners who don't have one. Use this whenever CRM data or pipeline hygiene comes up

anthropics/knowledge-work-plugins저장소 Star 34k
라이선스: Apache-2.0
출처 및 문서

small-business/skills/crm-autopilot/SKILL.md

crm-hygiene-check

Read-only audit of your CRM opportunities for missing fields, stale dates, and stage mismatches - outputs a fix checklist to apply by hand or through update-opportunity. Use when the user asks "check my CRM hygiene", "check my Salesforce or HubSpot data", "clean up my CRM", "audit my opps", "what's missing in the CRM", or "clean up my pipeline".

anthropics/knowledge-work-plugins저장소 Star 34k
라이선스: 라이선스 파일 확인 필요
출처 및 문서

sales/skills/crm-hygiene-check/SKILL.md

data-context-extractor

Generate or improve a company-specific data analysis skill by extracting tribal knowledge from analysts. BOOTSTRAP MODE - Triggers: "Create a data context skill", "Set up data analysis for our warehouse", "Help me create a skill for our database", "Generate a data skill for [company]" → Discovers schemas, asks key questions, generates initial skill with reference files ITERATION MODE - Triggers: "Add context about [domain]", "The skill needs more info about [topic]", "Update the data skill with

anthropics/knowledge-work-plugins저장소 Star 34k
라이선스: 라이선스 파일 확인 필요
출처 및 문서

data/skills/data-context-extractor/SKILL.md

deploy-checklist

Pre-deployment verification checklist. Use when about to ship a release, deploying a change with database migrations or feature flags, verifying CI status and approvals before going to production, or documenting rollback triggers ahead of time.

anthropics/knowledge-work-plugins저장소 Star 34k
라이선스: Apache-2.0
출처 및 문서

engineering/skills/deploy-checklist/SKILL.md

explore-data

Profile and explore a dataset to understand its shape, quality, and patterns. Use when encountering a new table or file, checking null rates and column distributions, spotting data quality issues like duplicates or suspicious values, or deciding which dimensions and metrics to analyze.

anthropics/knowledge-work-plugins저장소 Star 34k
라이선스: 라이선스 파일 확인 필요
출처 및 문서

data/skills/explore-data/SKILL.md

legal-response

Generate a response to a common legal inquiry using configured templates, with built-in escalation checks for situations that shouldn't use a templated reply. Use when responding to data subject requests, litigation hold notices, vendor legal questions, NDA requests from business teams, or subpoenas.

anthropics/knowledge-work-plugins저장소 Star 34k
라이선스: 라이선스 파일 확인 필요
출처 및 문서

legal/skills/legal-response/SKILL.md

payroll-prep

Gets payroll ready to run without anyone getting shorted: pulls timesheets from Gusto, QuickBooks Payroll, or an uploaded spreadsheet, totals regular, overtime, and PTO hours by person, flags every anomaly it finds — missed punches, overtime spikes, rate changes, mid-period hires and terminations, hours off the schedule — and stages the run for the owner to approve line by line before a dollar moves. Anomalies are always raised, never quietly corrected. Once the owner runs it, the journal posts

anthropics/knowledge-work-plugins저장소 Star 34k
라이선스: Apache-2.0
출처 및 문서

small-business/skills/payroll-prep/SKILL.md

performance-report

Build a marketing performance report with key metrics, trend analysis, wins and misses, and prioritized optimization recommendations. Use when wrapping a campaign, when preparing weekly, monthly, or quarterly channel summaries for stakeholders, or when you need data translated into an executive summary with next-period priorities.

anthropics/knowledge-work-plugins저장소 Star 34k
라이선스: 라이선스 파일 확인 필요
출처 및 문서

marketing/skills/performance-report/SKILL.md

pipeline-review

Stage-by-stage pipeline health check - coverage, aging, conversion, and at-risk deals - from CRM opportunity data. Use when the user asks "review my pipeline", "pipeline health", "where's my pipeline stuck", "weekly pipeline review", "which deals should I focus on this week", "any stale or stuck deals", "which deals have past close dates", "which deals are single-threaded", or "check my pipeline coverage against my number".

anthropics/knowledge-work-plugins저장소 Star 34k
라이선스: 라이선스 파일 확인 필요
출처 및 문서

sales/skills/pipeline-review/SKILL.md

reconciliation

Reconcile accounts by comparing GL balances to subledgers, bank statements, or third-party data. Use when performing bank reconciliations, GL-to-subledger recs, intercompany reconciliations, or identifying and categorizing reconciling items.

anthropics/knowledge-work-plugins저장소 Star 34k
라이선스: 라이선스 파일 확인 필요
출처 및 문서

finance/skills/reconciliation/SKILL.md

report-pack

Delivers the owner's custom recurring report pack on a set cadence — runs the saved report definition from report-builder, wraps it in a business-pulse snapshot so the numbers have context, and hands over one chat summary plus the workbook. Defined once, then delivered on schedule without being asked again. Runs on any single connected data source, or entirely from an uploaded CSV or XLSX. Use it when the owner asks for their report pack, their weekly or monthly numbers, "send me the usual repor

anthropics/knowledge-work-plugins저장소 Star 34k
라이선스: Apache-2.0
출처 및 문서

small-business/skills/report-pack/SKILL.md

sql-queries

Write correct, performant SQL across all major data warehouse dialects (Snowflake, BigQuery, Databricks, PostgreSQL, etc.). Use when writing queries, optimizing slow SQL, translating between dialects, or building complex analytical queries with CTEs, window functions, or aggregations.

anthropics/knowledge-work-plugins저장소 Star 34k
라이선스: 라이선스 파일 확인 필요
출처 및 문서

data/skills/sql-queries/SKILL.md

validate-data

QA an analysis before sharing -- methodology, accuracy, and bias checks. Use when reviewing an analysis before a stakeholder presentation, spot-checking calculations and aggregation logic, verifying a SQL query's results look right, or assessing whether conclusions are actually supported by the data.

anthropics/knowledge-work-plugins저장소 Star 34k
라이선스: 라이선스 파일 확인 필요
출처 및 문서

data/skills/validate-data/SKILL.md

write-query

Write optimized SQL for your dialect with best practices. Use when translating a natural-language data need into SQL, building a multi-CTE query with joins and aggregations, optimizing a query against a large partitioned table, or getting dialect-specific syntax for Snowflake, BigQuery, Postgres, etc.

anthropics/knowledge-work-plugins저장소 Star 34k
라이선스: 라이선스 파일 확인 필요
출처 및 문서

data/skills/write-query/SKILL.md

sentry

Use when the user asks to inspect Sentry issues or events, summarize recent production errors, or pull basic Sentry health data via the Sentry CLI; perform read-only queries using the `sentry` command.

openai/skills저장소 Star 28k
라이선스: 라이선스 파일 확인 필요
출처 및 문서

skills/.curated/sentry/SKILL.md

hf-cli

Hugging Face Hub CLI (`hf`) for downloading, uploading, and managing models, datasets, spaces, buckets, repos, papers, jobs, and more on the Hugging Face Hub. Use when: handling authentication; managing local cache; managing Hugging Face Buckets; running or scheduling jobs on Hugging Face infrastructure; managing Hugging Face repos; discussions and pull requests; browsing models, datasets and spaces; reading, searching, or browsing academic papers; managing collections; querying datasets; config

huggingface/skills저장소 Star 11k
라이선스: Apache-2.0
출처 및 문서

skills/hf-cli/SKILL.md

hf-mcp

Use Hugging Face Hub via MCP server tools. Search models, datasets, Spaces, papers. Get repo details, fetch documentation, run compute jobs, and use Gradio Spaces as AI tools. Available when connected to the HF MCP server.

huggingface/skills저장소 Star 11k
라이선스: Apache-2.0
출처 및 문서

hf-mcp/skills/hf-mcp/SKILL.md

huggingface-llm-trainer

Train or fine-tune language and vision models using TRL (Transformer Reinforcement Learning) or Unsloth with Hugging Face Jobs infrastructure. Covers SFT, DPO, GRPO and reward modeling training methods, plus GGUF conversion for local deployment. Includes guidance on the TRL Jobs package, UV scripts with PEP 723 format, dataset preparation and validation, hardware selection, cost estimation, Trackio monitoring, Hub authentication, model selection/leaderboards and model persistence. Use for tasks

huggingface/skills저장소 Star 11k
라이선스: Apache-2.0
출처 및 문서

skills/huggingface-llm-trainer/SKILL.md

basin

Build and troubleshoot Cloudflare Basin analytics workflows with Basin Pipelines, Basin Catalog, and Basin SQL. Use for streaming data into R2 Iceberg tables, managing catalogs, or querying those tables; also use for requests using the former Data Platform, Pipelines, R2 Data Catalog, or R2 SQL names.

cloudflare/skills저장소 Star 3.2k
라이선스: Apache-2.0
출처 및 문서

skills/basin/SKILL.md

kql

KQL language expertise for writing correct, efficient Kusto Query Language queries. Covers syntax gotchas, join patterns, dynamic types, datetime pitfalls, regex patterns, serialization, memory management, result-size discipline, and advanced functions (geo, vector, graph). USE THIS SKILL whenever writing, debugging, or reviewing KQL queries — even simple ones — because the gotchas section prevents the most common errors that waste tool calls and cause expensive retry cascades. Trigger on: KQL,

microsoft/skills저장소 Star 3.2k
라이선스: MIT
출처 및 문서

.github/skills/kql/SKILL.md

supabase-postgres-best-practices

Postgres best practices maintained by Supabase, for Postgres running anywhere. Load this skill BEFORE writing or changing anything that lives in a Postgres database: creating or altering tables and columns (including choosing column types), schema design, migrations and declarative schema files, RLS policies and the tests that verify them, indexes, triggers, database functions, queues and scheduled jobs (pg_cron, pgmq), vector/semantic search (pgvector), and restoring dumps (pg_restore) or impor

supabase/agent-skills저장소 Star 3k
라이선스: MIT
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skills/supabase-postgres-best-practices/SKILL.md

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