Human gate
Runs the human-verification lane of an agent loop, and proves review happened before work is called done.
Code, agents, infrastructure, and the tools to ship.
skills to explore
PUBLIC SKILLS, ONE SEARCHABLE SHELFIndexed 25 Sep 2026 ↗
73–96 of 169 skills
Runs the human-verification lane of an agent loop, and proves review happened before work is called done.
Comprehensive incident response framework from detection through resolution and post-incident review.
A security incident has been detected or declared and needs classification, triage, escalation path determination, and forensic evidence collection.
ISO 27001 ISMS implementation and cybersecurity governance for HealthTech and MedTech companies.
Phase 1 of building a Claude Managed Agent — interview the founder about the one job the agent should do, then produce a build sheet (CMA primitives table + v1/v2 deferrals + eval plan) WITHOUT needing their API key yet.
Writing, reviewing, or committing code to enforce Karpathy's 4 coding principles — surface assumptions before coding, keep it simple, make surgical changes, define verifiable goals.
Building a Kubernetes Operator — custom controllers that reconcile CRD state. Triggers on "build an operator", "CRD design", "reconcile loop", "controller-runtime", "kubebuilder", "operator-sdk", "metacontroller", "KOPF", "operator capability levels", or "custom resource".
Use proactively whenever LLM API costs come up -- or should. Triggers include: 'my AI costs are too high', 'optimize token usage', 'which model should I use', 'LLM spend is out of control', 'implement prompt caching', 'we're about to launch an AI feature', 'build me an AI endpoint'.
Building or maintaining a persistent personal knowledge base (second brain) in Obsidian where an LLM incrementally ingests sources, updates entity/concept pages, maintains cross-references, and keeps a synthesis current.
Start an autonomous experiment loop with user-selected interval (10min, 1h, daily, weekly, monthly).
Discover, find, compare, audit, repair, adapt, and design repeatable AI-agent loops with explicit triggers, actions, verification, stopping conditions, guardrails, and handoffs.
Design and ship production-ready MCP (Model Context Protocol) servers from OpenAPI contracts instead of hand-written tool wrappers.
Designing, reviewing, or paying for an agent memory system — adding memory to an agent, choosing between long-context / RAG / graph / agentic memory, auditing what a CLAUDE.md or memory directory actually holds, deciding what to keep and what to expire, or when a memory store keeps growing and nobody has said what leaves it.
Analyze auto-memory for promotion candidates, stale entries, consolidation opportunities, and health metrics.
Memory health dashboard showing line counts, topic files, capacity, stale entries, and recommendations.
Merge the winning agent's branch into base, archive losers, and clean up worktrees.
Migrate from Cypress or Selenium to Playwright.
Migrate supported instruction files, skills, agents, and MCP config into Codex project and global files.
Zero-downtime migration planning, compatibility validation, and rollback strategy generation.
Write code efficiently, avoid over-engineering, reduce dependencies, or prevent unnecessary abstractions.
Navigate, manage, and optimize monorepos. Covers Turborepo, Nx, pnpm workspaces, and Lerna.
Microsoft 365 tenant administration for Global Administrators. Automate M365 tenant setup, Office 365 admin tasks, Azure AD user management, Exchange Online configuration, Teams administration, and security policies.
Code review through the lens of real engineers' documented philosophies (Torvalds, Thompson, Carmack, Kent Beck, Jobs, Cagan).
Deploy web projects to Netlify using the Netlify CLI (npx netlify).
Source-linked, not execution-tested. Check the publisher’s setup instructions and permissions before use.