Agent skills for ChatGPT

Career networking finds authorized warm paths and drafts outbound referral, recruiter-outreach, informational-interview, and follow-up…

Career operations reconstructs durable workspace state and produces a daily action queue, campaign and inbox reconciliation, metrics…

Use when managing the Rust workspace, adding/removing crates, editing workspace dependencies, running cargo nextest/audit/deny…

System architecture and technical design specialist. [VAD] System design, architecture patterns, ADRs, technology evaluation.

This skill should be used when the user wants to "develop an agent", "build an agent using ADK", "run the agent locally", "debug agent…

This skill should be used when the user wants to "run an evaluation", "evaluate my ADK agent", "write an eval dataset", "analyze eval…

Use when you have a written implementation plan to execute in a separate session with review checkpoints

Use when executing implementation plans with independent tasks in the current session

Use when implementing any feature or bugfix, before writing implementation code

Use when creating new skills, editing existing skills, or verifying skills work before deployment

Game building mechanics case studies and decision frameworks.

Reads AR/AP, historical cash timing, and known fixed costs from the ledger (MYOB, NetSuite, QuickBooks, Xero, or Zoho Books) or from…

LinkedIn post generation from meeting transcripts, Slack dumps, and other source material, written in the user's personal writing style.

Diagnose and fix CAST AI agent, API, and autoscaler errors.

Configure CAST AI autoscaler policies and node templates for cost optimization.

Maximize Kubernetes cost savings with CAST AI spot strategies and right-sizing.

Set up a local Kubernetes development loop with CAST AI cost monitoring.

CAST AI reference architecture for multi-cluster Kubernetes cost optimization.

Secure CAST AI API keys, RBAC configuration, and Kvisor security agent.

This skill covers causal inference methods in observational and quasi-experimental settings.

Research and build evidence-backed causal strategy models and condition-aware policy paths for consequential decisions.