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Found 872 Skills
Comprehensive quality assurance and testing workflow that orchestrates test strategy design, automated testing implementation, performance testing, and quality metrics. Handles everything from unit testing and integration testing to end-to-end testing, performance testing, and quality assurance automation.
Show session analytics, learning patterns, correction trends, heatmaps, and productivity metrics. Use when wanting to understand your coding patterns over time.
Complete ClickHouse operations guide for DevOps and SRE teams managing production deployments. Provides practical guidance on monitoring essential metrics (query latency, throughput, memory, disk), introspecting system tables, performance analysis, scaling strategies (vertical and horizontal), backup/disaster recovery, tuning at query/server/table levels, and troubleshooting common issues. Use when diagnosing ClickHouse problems, optimizing performance, planning capacity, setting up monitoring, implementing backups, or managing production clusters. Includes resource management strategies for disk space, connections, and background operations plus production checklists.
Scrape public posts from X.com (Twitter) users. Extracts text content, timestamps, engagement metrics (views, likes, retweets, replies), and generates direct post links. Use when user asks to scrape/fetch/analyze X.com posts or Twitter data, or mentions "整理@某人的发言" or "看看某人在X上说了什么".
Full Sentry SDK setup for Python. Use when asked to "add Sentry to Python", "install sentry-sdk", "setup Sentry in Python", or configure error monitoring, tracing, profiling, logging, metrics, crons, or AI monitoring for Python applications. Supports Django, Flask, FastAPI, Celery, Starlette, AIOHTTP, Tornado, and more.
Self-improving agent architecture using ChromaDB for continuous learning, self-evaluation, and improvement storage. Agents maintain separate memory collections for learned patterns, performance metrics, and self-assessments without modifying their static .md configuration.
Community building and management specialist covering Discord, Slack, Circle, Skool, Facebook Groups, Reddit, forums, and community-led growth strategy. Use when the user wants to build a community, manage an online community, create engagement programs, develop community-led growth, plan community events, moderate communities, or turn customers into advocates. Also triggers for customer communities, brand communities, community engagement, member retention, community metrics, or community-led acquisition.
Pricing strategy specialist covering pricing models, value metrics, tier packaging, willingness-to-pay research, pricing pages, and price increase strategy. Use when the user wants help with pricing decisions, packaging plans, setting price points, designing pricing pages, running pricing research, choosing a value metric, raising prices, or optimizing monetization. Also triggers for 'pricing tiers', 'freemium vs trial', 'value metric', 'pricing page', 'willingness to pay', 'van Westendorp', 'annual vs monthly pricing', or 'enterprise pricing'.
4 production-ready business and growth skills: customer success manager with health scoring and churn prediction, sales engineer with RFP analysis, revenue operations with pipeline and GTM metrics, and contract & proposal writer. Python tools included (all stdlib-only). Works with Claude Code, Codex CLI, and OpenClaw.
Expert guidance for emitting high-quality, cost-efficient OpenTelemetry telemetry. Use when instrumenting applications with traces, metrics, or logs. Triggers on requests for observability, telemetry, tracing, metrics collection, logging integration, or OTel setup.
Skill for creating optimized YouTube video opening hooks (first 5-30 seconds) that maximize viewer retention and watch time. Use when planning video scripts, reviewing video openings, or optimizing existing content for better retention metrics.
Use this skill when building dbt models, designing semantic layers, defining metrics, creating self-serve analytics, or structuring a data warehouse for analyst consumption. Triggers on dbt project setup, model layering (staging, intermediate, marts), ref() and source() usage, YAML schema definitions, metrics definitions, semantic layer configuration, dimensional modeling, slowly changing dimensions, data testing, and any task requiring analytics engineering best practices.