Runbook for working in the AGILab repo (uv, Streamlit, run configs, packaging, troubleshooting).

Teach and apply Effect-TS practices (effect, @effect/schema, @effect/platform) for architecture, typed errors, Layers, dependency injection, resource safety, testing, and migration from async/await/Promise. Use when a user asks how to use Effect, requests best practices, wants to refactor to Effect, or needs mapping from platform modules to Node/Bun/Browser APIs.

aka.ms/VAReadyDemo4

Scaffold a new skill following best practices.

Stacks blockchain development intelligence for Codex.

Streamlit page authoring patterns for AGILAB (session_state safety, keys, rerun, UX).

prisma db seed. Reference when using this Prisma feature.

Automate npm Trusted Publisher setup via the npm-trustme CLI. Use when configuring or verifying npm Trusted Publishers for GitHub Actions with npx npm-trustme, including browser automation and WebAuthn passkey approval.

This skill should be used when the user asks about "documentation templates", "doc structure", "README format", "API documentation format", "how to write tutorials", "documentation checklist", or when the documentation-writer agent needs templates and workflows for specific documentation types. Provides Diataxis-based templates, checklists, and examples for 7 documentation types.

This skill should be used when the user asks to "create CLAUDE.md", "initialize CLAUDE.md", "sync CLAUDE.md with code", "update documentation from codebase", "create .claude/rules/", "manage modular rules", "split large CLAUDE.md", or mentions project documentation setup. Manages complete lifecycle of project instructions including creation, synchronization with code patterns, and modular organization.

prisma db push. Reference when using this Prisma feature.

prisma init. Reference when using this Prisma feature.

prisma dev. Reference when using this Prisma feature.

Clear, specific description of what this skill does and when Claude should use it. Include trigger terms users would naturally say. Maximum 1024 characters.

Quick, targeted test strategy for AGILAB (core unit tests, app smoke tests, regression).

- RL with policy advice. Azar et al., ECML 2013.

Maintain Conductor-compatible project context, tracks, specs, and plans.

Apply Anthropic's production multi-agent research patterns for complex research tasks. Use when research involves multiple independent dimensions, requires synthesis across many sources, or needs parallelization for speed. Includes query complexity assessment, parallel execution, progressive search refinement, thinking strategies, and findings compression.

Configure and optimize AI coding agents (OpenCode/Claude). Use when setting up or improving agent behavior.

Guidance for installing AGILAB, installing apps/pages, and debugging install/test failures.