Loading...
Loading...
Found 845 Skills
Transform raw data from CSVs, Google Sheets, or databases into executive-ready reports with visualizations, key metrics, trend analysis, and actionable recommendations. Creates data-driven narratives for leadership. Use when users need to turn spreadsheets into executive summaries or board reports.
Vendor-neutral skill to generate a staged feature-flag rollout plan (phases, metrics, guardrails, rollback criteria) from feature context and risk inputs.
Evaluates market bubble risk through quantitative data-driven analysis using the revised Minsky/Kindleberger framework v2.1. Prioritizes objective metrics (Put/Call, VIX, margin debt, breadth, IPO data) over subjective impressions. Features strict qualitative adjustment criteria with confirmation bias prevention. Supports practical investment decisions with mandatory data collection and mechanical scoring. Use when user asks about bubble risk, valuation concerns, or profit-taking timing.
Conduct a project or sprint retrospective by gathering data from status reports and velocity metrics, structuring what went well and what needs improvement, and generating actionable improvement items with owners and due dates. Use at the end of a sprint, after a project phase or milestone, following a significant incident or success, at a quarterly review of ongoing processes, or before starting a similar project to capture lessons learned.
Designs and implements state transition analysis systems for tracking time spent in different states. Use when analyzing workflows with state changes (Jira, GitHub PRs, deployments, support tickets, etc.). Covers state machine fundamentals, temporal calculations, bottleneck detection, and business metrics. Trigger keywords: "state analysis", "duration tracking", "workflow metrics", "bottleneck", "cycle time", "state transitions", "time in status", "how long", "state duration", "workflow performance", "state machine", "changelog analysis", "SLA tracking", "process metrics".
Use when the user asks to "create a metric", "write a metric", "design a metric", "build a metric for", "evaluate agent performance", "measure call quality", "track a KPI", "add a workflow metric", "improve my metric", "fix a metric", "debug metric results", "set up quality scoring", or "what metrics do I need". Also relevant when discussing LLM judge prompts, custom code metrics, evaluation triggers, VALID_SKIP patterns, section extraction, or metric best practices for Cekura voice AI agents. Covers both creating new metrics and reviewing, iterating on, or troubleshooting existing ones.
This skill calculates key financial ratios and metrics from financial statement data for investment analysis
HK Stock Dividend Tracker. Monitor dividend policies, dividend history, dividend yields and other metrics of Hong Kong-listed companies. Used for income investing and dividend strategy analysis.
Analyze Go function lengths within a workspace and generate statistics (p50, p90, p99). Use when you need to audit function complexity, identify long functions, or generate code metrics for Go projects. Only analyzes files matching **/*.go within the current workspace, excluding dependencies.
MANDATORY — invoke this skill BEFORE making any Blockscout MCP tool calls or writing any blockchain data scripts, even when the Blockscout MCP server is already configured. Provides architectural rules, execution-strategy decisions, MCP REST API conventions for scripts, endpoint reference files, response transformation requirements, and output conventions that are not available from MCP tool descriptions alone. Use when the user asks about on-chain data, blockchain analysis, wallet balances, token transfers, contract interactions, on-chain metrics, wants to use the Blockscout API, or needs to build software that retrieves blockchain data via Blockscout. Covers all EVM chains.
Use the `datadog` CLI to manage Datadog resources — monitors, metrics, events, logs, services, errors, and pipelines. Invoke this skill whenever the user asks to query, create, update, or delete Datadog monitors, search logs or errors, check metric values, list APM services, or manage log pipelines. Also trigger when the user mentions Datadog observability tasks like "check the error rate", "look at monitors", "search logs for errors", "list services", or "set up a log pipeline".
Implement Syncfusion Angular Circular Gauge component for radial data visualization. Use this when building circular gauges for dashboards, monitoring displays, performance metrics, speedometers, or KPI indicators. Covers installation, axes configuration, pointer types (needle, range bar, marker), ranges, styling, animations, and user interactions.