Builds real-time analytics and automation with PubNub Illuminate. Covers Business Objects (schema), Metrics (aggregations), Decisions (threshold-triggered actions with the 4-step PUT workflow), Queries (ad-hoc vs saved pipelines), and Dashboards. Use when tracking KPIs, building threshold alerts, automating mute/publish/App-Context-update actions, detecting spam or anomalies, or visualizing live activity.

Retrieves historical PubNub messages via Message Persistence (Storage & Playback). Covers timetoken-based pagination, per-channel ordering guarantees, offline catch-up flows, retention configuration, and the "catch-up tool not a data lake" principle. Use when fetching past messages, paginating with timetokens, building offline-resume UI, retrieving messages with actions, or configuring retention.

Routes PubNub events to external systems with no code via Events & Actions (E&A). Covers event listeners (Messages, Users, Channels, Push, Memberships), action targets (Webhook, SQS, Kinesis, S3, Kafka, IFTTT, AMQP), filter types (basic vs JSONPath), retry policy, envelopes, and batching. Use when integrating PubNub with Lambda, Kafka, SQS, S3, EventBridge, an analytics pipeline, or any external system.

Routes PubNub questions to the correct documentation source, MCP tool, and specialist skill. Classifies intent (chat vs non-chat, conceptual vs implementation, runtime testing vs analytics) and points the agent to the right next step. Use when a user mentions PubNub for the first time, asks "where do I start", "which docs", "what should I use", or any time the appropriate next skill is unclear.

Manages PubNub App Context (Objects API) for users, channels, and memberships. Covers user/channel metadata, custom fields, membership management, querying with filters, and referential integrity. Use when storing user profiles, channel metadata (name, topic, mute flags), tracking who is in which channel, or working with the Objects/App Context API.

Given a Mattermost priority/severity level (Critical/High/Medium/Low), resolve the target release-X.Y branches to cherry-pick onto by parsing the Mattermost release policy (ESR/active/upcoming) and keeping only branches that exist on mattermost/mattermost. Use when you need the list of release branches a fix must be backported to for a given severity.

Use when the user asks to create, edit, update, design, or configure a Harness Chaos Experiment — including faults, probes, actions, experiment YAML, fault injection, pod-delete, or resilience tests. Do not use for Chaos steps inside a pipeline or a DRTest stage; use chaos-dr-test for those. Do not use to run an experiment, list past runs, or inspect run results — call the Chaos MCP tools directly for those (see Performance Notes). Trigger phrases: chaos experiment, chaos engineering, resilience test, fault injection, pod-delete, chaos hub template.

Search Confluence pages and fetch page content. Use when a user wants to find or read Confluence wiki pages, or when context from Confluence is needed.

Fix compilation errors, linting issues, and test failures in the warp Rust codebase. Covers presubmit checks, WASM-specific errors, and running specific tests. Use when the user hits build errors, clippy or fmt failures, test failures, or needs to run or interpret presubmit before a PR.

Create a pull request in the warp repository for the current branch. Use when the user mentions opening a PR, creating a pull request, submitting changes for review, or preparing code for merge.

Pi Coding Agent adapter for command-per-file CLI workflows.

Trace and evaluate GenAI applications including LLM calls, agents, RAG pipelines, and multi-step AI systems in Domino. Uses the Domino SDK (@add_tracing decorator, DominoRun context) with MLflow 3.2.0. Captures token usage, latency, cost, tool calls, and errors. Supports LLM-as-judge evaluators and custom metrics. Use when building agents, debugging LLM applications, or needing audit trails for GenAI systems.

Use when converting Java source files to idiomatic Kotlin, when user mentions "java to kotlin", "j2k", "convert java", "migrate java to kotlin", or when working with .java files that need to become .kt files. Handles framework-aware conversion for Spring, Lombok, Hibernate, Jackson, Micronaut, Quarkus, Dagger/Hilt, RxJava, JUnit, Guice, Retrofit, and Mockito.

Initialize the coverage backfill in a .NET repo. Use when setting up dotnet-coverage-kit in a new service for the first time, or when the user says 'init coverage', 'set up coverage backfill', or 'scaffold the coverage manifest'. Detects the repo's architecture and projects, sweeps every source file against an objective per-category signal rubric in parallel (user-chosen agent count) to classify them, synthesizes a coverage-manifest.yml and a per-repo unit-testing overlay at the main agent, runs a single cross-project self-critique to catch wrongly-excluded testable code and wrongly-included untestable code (including the same mistake repeated across projects) before human review, installs the runsettings + run script, and scaffolds a PR coverage workflow without clobbering existing CI.

Move a repository's GitHub Actions jobs to Peak runners. Use when the user asks to set up Peak, speed up CI, switch runners to Peak, or run `peak init`. Runs the Peak CLI in agent mode, relays the sign-in link, and returns the pull request link.

Curated GitHub repositories demonstrating working reference architectures on the Fastly platform, from single Compute applications to systems combining multiple Fastly products. Use when designing a new solution on Fastly and a worked example of the target pattern would help, or when implementing and a concrete assembled reference would clarify the shape of the code. Not for documentation of how a specific Fastly tool or API works on its own — see the tool-specific skills for that.

Configures Spring Boot's Kafka starter through `application.properties` / `application.yml`. Use this skill when Kafka configuration needs to be created, either standalone or as part of a larger task (e.g. before adding a `KafkaTemplate` producer or a `@KafkaListener` consumer).

AWS ECS container orchestration for running Docker containers. Use when deploying containerized applications, configuring task definitions, setting up services, managing clusters, or troubleshooting container issues.

AWS CloudWatch monitoring for logs, metrics, alarms, and dashboards. Use when setting up monitoring, creating alarms, querying logs with Insights, configuring metric filters, building dashboards, or troubleshooting application issues.

Interact with Google Chat - send, read, edit, delete and react to messages, share images and files, reply in threads, and manage spaces and DMs. Use when user asks to: send a message on Google Chat, read chat messages, list chat spaces, find a chat room, send a DM, share a screenshot or file, edit or delete something already sent, or create a new space. Lightweight alternative to full Google Workspace MCP server with standalone OAuth authentication.