531 skills · sorted by relevance
Audit and strengthen security for applications running on GKE. Configure pod traffic restrictions, sandbox isolation, namespace security standards, and Secret Manager volume mounts to protect workloads at the application and namespace level.
Diagnoses storage failures in GKE, Google's managed Kubernetes service, including stuck Pods, disk attachment errors, storage pressure, and missing volume expansion. It provides diagnostic commands and reviewable configuration patches for deployment through GitOps.
Create Terraform files that define alerts for AI agent latency, errors, token use, safety, security, and response quality. Check telemetry and existing policies first, then validate the generated configuration. Quality alerts require Vertex AI.
Turn unhandled contacts in a HubSpot list into researched first-contact emails and follow-up drafts. Record the research and messages in HubSpot, prevent duplicate drafting, and prepare a limited batch for human review and sending.
Create and improve shell scripts for routine tasks, deployment, and system administration. Covers input checks, error handling, logging, cleanup, and choosing between Bash features and POSIX rules for scripts that work across different systems.
Automate website searches, logins, form entry, and price comparisons using Playwright, a browser automation tool. Provides workflows for locating page elements, checking results, and recovering from navigation errors or missing elements.
Set up KubeSphere’s WizTelemetry Data Pipeline to collect, transform, and route logs, audit data, events, and notifications. Configure delivery to OpenSearch, deploy agents across selected clusters, and check their operating status.
Manage KubeSphere’s Traefik-based Gateway API extension for external access to applications. Install, upgrade, or remove it across selected clusters, and inspect GatewayProxy resources, which manage proxy instances, to investigate deployment failures and unhealthy gateways.
Set up W&B to record machine learning metrics and settings, visualize training progress, and compare experiments. Includes automated searches for training settings, version tracking for datasets and models, and shared reports for team collaboration.
Use TensorBoard to visualize training loss and accuracy, compare experiments, and inspect model structure. Guides logging for PyTorch and TensorFlow, including weight distributions and performance profiling to investigate training problems and processing bottlenecks.
Document how a research or coding session evolved after the work is complete. The skill extracts decisions, experiments, failed approaches, and claims into ara/ files, distinguishing user statements from AI suggestions and actions.
Set up application monitoring with structured logs, performance metrics, and traces that follow requests across services. Build dashboards and alerts, run load tests, investigate CPU and memory bottlenecks, and estimate future infrastructure capacity.
Build Python 3.11+ applications with type annotations, asynchronous operations, and structured error handling. The skill also creates pytest tests and checks code with mypy, black, and ruff to support consistent implementation and validation.
Prepare SageMaker deployments and training by finding existing execution roles, checking trust settings, and reviewing required permissions. Guides role creation only when necessary and identifies permission issues that require an AWS administrator.
Track machine learning experiments with Trackio by recording training measurements, viewing live dashboards, and flagging diagnostic events. Retrieve metrics and alerts through command-line queries, with JSON output for automated monitoring and experiment review.
Record dated developments in litigation matters and update the corresponding matter log. Capture status, risk, deadlines, and settlement developments, with proposed history entries and field changes shown for review before saving.
Keep a dated communication log for each legal clinic case, covering calls, emails, meetings, and other contacts. Summarize conversations and action items, review recent history, and flag unanswered messages or missed follow-ups for supervision and handoffs.
Turn rough meeting notes, customer requests, and product ideas into structured backlog entries, a list of possible improvements. Capture who needs each idea and why, categorize it, and update matching entries with new evidence.
Debug PowerPoint generation with python-pptx, a Python library for presentations. Follow a sequence of installation checks, minimal tests, error logging, and fixes for tables and charts, then inspect the generated slides.
Load missing API keys, tokens, and other secrets from Infisical into shell environment variables. Retrieve individual values by environment or folder, or make project secrets available to a single command without logging their contents.
Build and deploy TypeScript agents on OpenServ that run custom tools, call APIs, or generate content. The skill covers capability definitions, platform registration, local development, task logging, and deployment, including platform-managed AI calls.
Manage wallet login for the local altllm CLI, including requesting a message to sign, verifying signatures from external wallets, checking saved session details, and removing the local session when logging out.
Search Threads by keyword or hashtag and collect matching posts with text, authors, timestamps, and engagement counts. Choose relevant or popular results, or newest posts first, using public search results available without logging in.
Instrument Python or TypeScript agents to record runs for Failproof AI, verify local event files, and troubleshoot missing sessions. The skill also guides building evaluator workers that score completed runs on your own infrastructure.