2 409 data analysis skills from 443 authors. They crunch numbers, pivot tables and turn both into something readable. Half of them fit into 1 952 tokens or less — that is what one costs your context window when the agent loads it. 549 ship runnable scripts rather than instructions alone. 31 of them cannot work without an MCP server, most often rube. We also found 386 copies of these same skills sitting in other people's repositories — counted once here, not 386 times.
2 409 unique 443 authors 5 updated this month 241 from vendors
Expert startup business analysis for market sizing, financial modeling, competitive analysis, and strategic planning. Use PROACTIVELY when the user asks about TAM/SAM/SOM, financial projections, unit economics, competitive landscape, team planning, startup metrics, or early-stage business strategy.
Comprehensive guide to tracking, calculating, and optimizing key performance metrics for different startup business models from seed through Series A This skill should be used when the user asks about \\\"key startup metrics", "SaaS metrics", "CAC and LTV", "unit economics", "burn multiple", "rule of 40", "marketplace metrics", or requests guidance on tracking and optimizing business performance metrics.
Master of price action, chart patterns, and technical indicators - combining classical Wyckoff/Dow theory with modern quantitative validation for edge identificationUse when "technical analysis, chart pattern, indicator, RSI, MACD, support resistance, trend, candlestick, price action, fibonacci, trading, technical-analysis, charts, indicators, price-action, patterns, support-resistance, trend-following" mentioned.
每日自动统计 OpenClaw 实例 Token 消耗和工作产出,上报到飞书多维表格。扫描 JSONL 日志按模型聚合 token,收集各 agent 当日工作摘要,写入飞书 Bitable。触发:'token报告'、'token report'、'日报'、'每日汇报'、'飞书上报'。
小红书内容创作运营增长综合解决方案。包含爆款内容创作、封面设计、发布优化、数据分析和账号增长策略。当用户需要:(1) 创建小红书爆款内容 (2) 优化账号运营策略 (3) 分析竞品和热点 (4) 发布内容到草稿箱 (5) 提升账号流量和变现能力时触发。支持完整的内容创作流水线和多agent协作。
OpenTelemetry declarative YAML configuration for SDK setup. Use when configuring OpenTelemetry SDK providers (tracer, meter, logger), setting up OTLP exporters, defining sampling strategies, or writing otel config files. Triggers on "otel config", "OpenTelemetry YAML", "declarative configuration", "otelconf", "OTEL_CONFIG_FILE", "file_format", "configure tracing/metrics/logs export", or when the user is setting up telemetry pipelines via config files rather than code.
OpenTelemetry Transformation Language (OTTL) expert for writing and debugging telemetry transformations in the OpenTelemetry Collector. Use when authoring or reviewing `transform`, `filter`, `tail_sampling` processor configs or `routing` connector configs, debugging OTTL syntax or semantics, transforming traces, metrics, logs, or profiles, or converting data-processing requirements into OTTL statements.
Build safe, version-pinned telemetrygen commands for synthetic OTLP traces, metrics, and logs. Use for “send sample traces to this collector,” “load-test an OTLP endpoint,” “generate traffic to verify a processor, OTTL transform, or tail sampling,” and “produce test data for dashboards.” Also use when choosing telemetrygen transport, TLS, attributes, counts, duration, or rate. Not for application SDK instrumentation or production collection that does not use telemetrygen.
OpenTelemetry Weaver registry authoring, codegen, and CI enforcement. Use when adopting Weaver, authoring or reviewing a registry (manifest, attributes, metrics, spans, events), writing Jinja2 templates against the resolved schema, migrating hand-maintained telemetry constants, or wiring `weaver registry check`/`generate`/`diff` into CI.
Configures trace spans, defines custom metrics, sets up log exporters, and optimizes sampling strategies for OpenTelemetry instrumentation. Use when instrumenting applications with traces, metrics, or logs. Triggers on requests for observability, telemetry, tracing, metrics collection, logging integration, or OTel setup.
Verify HitKeep tracking setup and automatic event collection. Use when installation status, missing pageviews or events, WordPress or script installs, automatic outbound clicks, downloads, form submissions, hostname mismatches, blockers, consent, CSP, or the difference between tracker failure and analytics interpretation is in question.
Maintain HitKeep dashboard localization. Use whenever a contributor adds or changes user-visible dashboard text, Transloco keys, locale JSON files, OptimusUI locale behavior, language switching, translated labels, localized layout, date/number/duration formatting, or supported dashboard languages.
Official parent skill for analyzing HitKeep data through HitKeep MCP and official docs. Use for broad traffic, event, ecommerce, Web Vitals, AI visibility, Search Console, opportunity, tracking-health, MCP setup, or analytics-surface questions; use a narrower HitKeep analytics skill when the task clearly matches one.
> Receive and verify Cisco Meraki Dashboard webhook alerts. Use when setting up Meraki webhook handlers, validating the sharedSecret, or handling alert events like motion_alert, settings_changed, sensor_alert, or stopped_reporting.
>- Generate audit reports and compliance trails using Harness audit trail data via MCP v2 tools. Track user actions, resource changes, authentication events, and access patterns across accounts, organizations, and projects. Use when asked to audit activity, generate compliance reports, investigate security incidents, review user actions, check change logs, or produce SOC2/GDPR/HIPAA change log, access audit, security investigation, who changed what, audit events.
Generate DORA metrics and engineering performance reports using Harness SEI via MCP. Track deployment frequency, lead time, change failure rate, and MTTR. Use when user says "DORA metrics", "deployment frequency", "lead time", "engineering metrics", or asks about team performance.
>- Assist with Harness Service Reliability Management (SRM) tasks that the MCP server currently reports from deployment/execution history, and drafting operational runbooks. Use when asked about SLOs, error budgets, burn-rate alerts, on-call handover, runbooks, or incident triage. Do NOT use for DORA metrics (use dora-metrics instead) or chaos experiments (use runbook, service reliability, incident response, on-call shift.
Generate security compliance reports using Harness SCS and STO via MCP. Analyze vulnerabilities, SBOMs, and manage exemptions. Use when user says "security report", "vulnerabilities", "SBOM", "security scan", "compliance check", or asks about application security.
>- Advanced engineering analytics via Harness Software Engineering Insights (SEI) MCP. Configure sprint velocity and estimation accuracy tracking, engineering investment allocation breakdowns, sprint planning with capacity forecasts, and release readiness assessments. Use when asked about sprint analytics, investment allocation, sprint planning, capacity forecasting, or release velocity, sprint analytics, investment allocation, capacity planning, sprint forecast, release readiness, engineering productivity, estimation accuracy, sprint planning, scope creep, code quality trends.
Implement DBSCAN clustering with custom distance metrics using scikit-learn's pairwise_distances.
Process GitHub API data to calculate PR/issue metrics including merge time averages, author rankings, and bug categorization.
Generate and write structured JSON reports with proper formatting and validation.
Loading and parsing CSV files with D3.js, data transformation, and handling missing values
D3.js force simulation for creating interactive bubble charts with clustering, collision detection, and physics-based positioning
Essential D3.js v6 concepts including selections, scales, SVG basics, and data binding for building interactive visualizations
D3.js techniques for tooltips, hover effects, click handlers, and cross-filtering between visualizations
Calculating RMSE metrics and parameter calibration for lake model validation
Load and parse CSV/TXT files from travel database for itinerary planning
Generate structured CSV files from Python data using the csv module for tabular data export.
Use the xlsx skill tool to create, read, modify and analyze Excel spreadsheets with formulas and formatting.
Define custom distance/similarity metrics for DBSCAN clustering with sklearn, using weighted Euclidean distances.
Generate structured CSV security audit reports from vulnerability data with proper filtering and formatting.
Patterns for analyzing and outputting structured JSON answers from enterprise data queries.
Analyze SEC 13-F filings data including AUM, holdings count, and cross-quarter comparisons using TSV files.
Load and parse CSV data with D3.js v6 using d3.csv() and d3.autoType for local file serving.
Build interactive HTML data tables with D3.js v6, including row highlighting and click-based selection synced with charts.
Create force-simulation bubble charts with D3.js v6, including sector clustering, collision avoidance, tooltips, and legends.
Reading and analyzing GLM NetCDF output with Python netCDF4 and pandas for RMSE evaluation.
Excel statistical functions (MIN, MAX, MEDIAN, AVERAGE, PERCENTILE, SUMPRODUCT) with ROUND.
Run DBSCAN clustering with a custom distance metric using sklearn, including how to define weighted Euclidean metrics and extract cluster centroids.
Generate structured CSV security audit reports from Trivy JSON vulnerability data with severity filtering and proper field mapping.
Python patterns for analyzing large JSON datasets to find specific information, track tokens, and write answers in the required format.
Add a categorical color legend to a D3 chart using colored rectangles or circles with text labels, supporting both SVG-inline and HTML overlay styles.
Build a force-simulation bubble chart in D3.js v6 where bubbles are sized by a numeric value, colored by category, and clustered by category using forceX/forceY. Covers deterministic layout, collision, and tick-based settling.
Build a sortable, highlightable HTML data table linked to a D3 chart so clicking a chart element highlights the matching table row and vice versa.
Calculating GDP-weighted means and other weighted statistics in Excel using SUMPRODUCT, including net exports as percent of GDP.
Greedy matching algorithm to pair predicted cluster centroids with ground truth points for F1 and distance metrics.
Generate structured CSV security audit reports from vulnerability data with proper filtering and formatting. This skill covers CSV schema design for security reports, using Python csv.DictWriter, severity-based filtering, and field mapping from JSON to tabular format.