Guide for agents to help users interpret and act on NightVision DAST scan results. Use when reading SARIF/CSV findings, explaining vulnerabilities, locating vulnerable code, validating findings with curl, prioritizing by severity, suggesting remediations, or…
Skills in this repository
compozy/plugins - Page 4
SkillsMP has collected 186 skills from compozy/plugins. Open a skill to review its source and details.
compozy/pluginsShowing 40 of 186 collected skills.
Audit a website for WCAG 2.1 AA accessibility violations using automated scanning and Noibu traffic data, and optionally draft the fixes. Use when you want to know what's inaccessible across the store, check WCAG or ADA compliance, find contrast or heading…
Analyze checkout performance and health using Noibu data. Use when you want to know where shoppers drop off in the checkout funnel, what payment or delivery methods customers are using, why completion rates are low, what priority errors are hurting checkout,…
Required reference for calling `noibu_*` tools — field and measure semantics, query constraints (the `orderBy` requirement, row caps, unique-measure rule), the `rationale` argument convention, and domain resolution. Also covers parsing of pasted…
Diagnose technical issues and Core Web Vital performance problems using Noibu data, and recommend a fix. Use when you want to know what's broken across the store, why an error is happening, what's causing errors, the root cause of poor page performance, how…
Help the user pick the right connector skill for their data source from an AIDP notebook. Use as a router when the user mentions multiple sources, isn't sure which connector applies, or asks "how do I connect to X from AIDP". Covers 26 data sources — Oracle…
Connect to ANY database that has a JDBC driver from an AIDP notebook using Spark's native `format("jdbc")`. Use when the user mentions a DB without a dedicated AIDP connector — SQLite, ClickHouse, DuckDB, generic JDBC URL — or wants to use a custom JDBC…
Implement an Output SDK workflow from a plan document. Use when the user asks to build, implement, or code a workflow from an existing plan, or after output-plan-workflow has produced a plan and the user is ready to build.
Use the Agent class for multi-step tool loops, conversation history, streaming progress, and reusable LLM agents. Use when building agents with skills, structured output, stateful conversations, or streaming callbacks.
Subscribe to cost events (cost:http:request, llm:generation:metering) to forward LLM and API spend to your own observability system. Use when adding cost/spend logging, building a cost observability integration, or forwarding per-request cost data to an…
Create offline evaluation tests for Output SDK workflows using @outputai/evals. Use when implementing test evaluators with verify(), creating dataset YAML files, building eval workflows, or running workflow tests via CLI.
Create evaluator functions in evaluators.ts for Output SDK workflows. Use when implementing quality assessment, validation logic, or content evaluation.
Implement LLM text streaming in Output workflow steps with generateTextWithStreaming, Agent.generateWithStreaming, streamText, or Agent.stream. Use when adding token progress, onChunk callbacks, or handling streamText onEnd/onError with Temporal retries.
Pick the right LLM model for an Output SDK prompt file. Use when writing a new .prompt file, reviewing a model choice, or upgrading a stale model. Walks through priority (reasoning/balance/speed/cost), provider selection, and a live lookup against the Vercel…
Create .prompt files for LLM operations in Output SDK workflows. Use when designing prompts, configuring LLM providers, or using Liquid.js templating.
Create .md skill files for Output framework's lazy-loaded instruction system. Use when adding skills to prompts, configuring skill loading, or debugging skill resolution.
Create step functions in steps.ts for Output SDK workflows. Use when implementing I/O operations, error handling, HTTP requests, or LLM calls.
Design effective LLM judge .prompt files for evaluators. Use when creating judgeVerdict/judgeScore/judgeLabel prompts, or when existing judges produce unreliable results.
Post-flight validation for Output SDK workflow operations. Systematic verification of step completion, convention compliance, quality validation, and deliverable verification.
Pre-flight validation checks for Output SDK workflow operations. Ensures conventions are followed, requirements are gathered, and quality gates are passed before workflow execution.
Comprehensive guide to Output.ai Framework for building durable, LLM-powered workflows orchestrated by Temporal. Covers project structure, workflow patterns, steps, LLM integration, HTTP clients, CLI commands, and the full inventory of available agents and…
Use when the user asks to create, build, generate, scaffold, or plan a new workflow. Orchestrates the full planning process including architecture, steps, prompts, evaluators, and testing strategy using specialized subagents.
Creates production-ready Pendo in-app guides as HTML/CSS/JS files, drawing on guide type best practices, org-specific content guidelines, and user-provided context. Trigger this skill whenever a user types /pendo-guides:pendo-guide-creator or uses natural…
Understand how code works, how a change was done before, and which repos are coupled — to answer a question, plan a code change, debug a regression, or scope a fix, using Qodo managed tools through MCP or the CLI. Use when a task needs to understand a…
Find and maintain Development Track Notes and PR Review Notes through Qodo tools. Use at task intake or when resuming a development effort, before opening a PR, after opening it to bind its notes, or when asked to read or edit reviewer context. Tracks connect…
Read or resolve a pull request's Qodo review using Qodo managed tools through MCP or the CLI — fetch structured status, reviewed commit SHA, and findings for ANY PR as JSON, with optional extended details and citation evidence for audits, then optionally…
Review local changes with Qodo during substantive coding milestones and before a PR or completed-work handoff. Use light background checkpoints while coding, collect and assess findings with session context, and run a final review before handing off. Also use…
Set up Qodo in a coding agent — install the CLI, sign in, and verify tools. Use after plugin installation, on setup requests, or when a Qodo skill finds a missing CLI or login.
Retrieve and apply Qodo coding rules relevant to implementation, planning, refactoring, or code review. Use on "get rules", "load qodo rules", or "relevant standards" and when starting a concrete coding task. Reuse rules already retrieved for the same…
Discover, configure, and manage Qodo Review Standards using managed tools through MCP or the CLI. Use to set up a skills/plugin repository for reviews, map review skills to target repositories, change skill scope or rules/steering mode, capture a convention…
Operate Railway infrastructure: sign up for or sign in to a Railway account, create projects, provision services, databases, and buckets, deploy code, configure infrastructure as code, environments and variables, manage domains, trace requests with…
End-to-end RevenueCat integration — sets up the dashboard side via the RevenueCat MCP or the `rc` CLI (project, app, public API key) and installs/configures the Purchases SDK in the app. Use when the user asks to add RevenueCat, hook up RevenueCat, add…
Use when the user asks about RevenueCat data, analytics, charts, or KPIs — querying charts with get-chart-options-schema and get-chart-data, interpreting subscription metrics, or sharing dashboard chart links. For forecasts, projections, or run-rates, use…
Drive RevenueCat from the terminal with the `rc` CLI, an alternative to the RevenueCat MCP server for humans, CI, and agents. Covers install, authentication, command discovery, and output conventions. Referenced by the other RevenueCat skills whenever they…
Must invoke for any request to create, edit, evaluate, understand, or improve a RevenueCat Paywall in the dashboard — including questions about a specific paywall or general paywall design recommendations. Not for presenting a paywall in app code (use…
Display a RevenueCat paywall inside an app using the RevenueCatUI SDK. Use when the user asks to add a paywall, show a RevenueCat paywall, present PaywallView, integrate RevenueCatUI, gate a premium screen with a paywall, launch PaywallActivity, call…
Implement the RevenueCat purchase and restore flow. Use when the user asks to buy a package, purchase a subscription, fetch offerings, build the purchase logic behind a custom (hand-coded) paywall, handle purchase errors, detect user cancelled, or restore…
Use when the user wants to inspect or change the state of products in App Store Connect, Google Play Console, RC Billing, or Test Store (prices, availability, localizations, review screenshots) via RevenueCat product-store-state plans
Overview of how to analyze data in a Rill project
Detailed instructions and examples for developing canvas dashboard resources in Rill