1.5K skills · sorted by relevance
Store project knowledge and design decisions in persistent memory that AI agents can search and read. New findings sync automatically to Markdown documentation, while usage statistics help you inspect the memory bank.
Provides persistent project memory for AI agents through a local MCP server, a tool interface for agents. Stores and searches architecture decisions and implementation patterns, syncs with project documentation, and includes a dashboard for viewing memory usage.
Add monitoring to AI agents with response times, token usage, estimated costs, and error metrics. Trace records follow model and tool calls step by step, helping teams investigate failures and understand operating costs.
Choose and track startup metrics suited to the business model and funding stage. Calculate customer acquisition cost, customer lifetime value, retention, and cash usage, then organize trends and targets for operational reviews and investor reporting.
Select and place supporting visuals in editable PPTX slides. Check sources and usage rights, preserve image proportions, and keep essential labels, values, and process steps editable as native PowerPoint objects.
Build Grafana dashboards that show application and infrastructure health through request rates, errors, response times, and resource usage. Organize metrics into useful panels, add filters and alerts, and manage dashboard definitions as code.
Design and refine prompts for AI applications using examples, reusable templates, and structured outputs such as JSON. Test variations for accuracy, consistency, response time, and token usage to diagnose unreliable answers and formatting failures.
Build Solidity contract tests with Hardhat and Foundry. Check individual functions, contract interactions, gas usage, and varied inputs, and use a local copy of mainnet state to test against existing contracts.
Turn code from the current session into a focused blog walkthrough with a generalized code sample and usage example. Learn the author's style from writing samples, adapt to the destination, and save only after approval.
Plan enterprise customer onboarding from contract handoff through rollout and continued use. Provides four phases, readiness checklists, ownership checks, and adoption measures to address stalled communication, weak pilot usage, and declining engagement after launch.
Plan pricing for APIs, SaaS, and developer tools using customer value and service costs. Compare pricing models, define free tier limits, structure enterprise offers, and assess when and how to raise prices.
Write consistent XML documentation comments for C# types and public members. Follow specific rules for summaries, parameters, return values, properties, exceptions, examples, and inherited documentation so API behavior and usage are clearly described alongside the code.
Turn official command documentation into a concise tldr page, an example-based command reference. Provide a command name and documentation URL to get five to eight common usage examples with consistent formatting and placeholders.
Turn a Python script into a beginner-friendly project by improving its structure and naming, adding comments that explain the reasoning, and creating a README.md tutorial covering setup, code logic, and example usage.
Retrieve current Azure retail prices and estimate monthly or annual costs by service, region, and configuration. Compare payment options and calculate Copilot Studio credit usage and estimated costs from expected agent activity.
Set up or repair the OMC status display in Claude Code, then choose how much information it shows. Configure presets and individual elements to monitor task progress, context usage, and running agents during a session.
Helps build and maintain Ant Design interfaces by checking component options, examples, and theme settings. It also supports debugging, version migrations, and project scans to identify deprecated code and configuration issues.
Diagnose running Java applications with Arthas. Follow guides for high CPU usage, retrieving EagleEye request tracking IDs, and inspecting Spring configuration and managed objects, then summarize evidence and next steps.
Investigate stolen OAuth tokens and their reuse in Microsoft Entra ID through sign-in log analysis. Follow response procedures for revoking sessions and reviewing app permissions, and configure device-bound token protection and session monitoring for Azure and M365 environments.
Detect unauthorized cryptocurrency mining in cloud workloads by combining billing changes, CPU usage, mining pool connections, and process alerts. Follow workflows to preserve evidence, isolate affected resources, and trace how attackers gained access.
Reconstruct USB device usage on Windows by comparing registry records, Event Logs, and device installation logs. Identify devices, correlate connection times and drive letters, and build a timeline for removable media investigations.
Parse Windows Prefetch files, which store traces of program execution, to extract run counts, timestamps, and referenced files. Build execution timelines and compare findings with other forensic evidence when investigating suspicious software or tool usage.
Design focused products built around AI APIs, with guidance on prompts, model selection, output validation, and user experience. Track usage and set cost limits to connect product behavior with operating costs and pricing decisions.
Use LangSmith to record LLM application inputs, outputs, and timing, investigate failures, evaluate answers against test datasets, and monitor production usage. It also guides automated quality checks and analysis of token usage and costs.