Fix speech-to-text errors and improve text clarity in dictated content related to GitHub Agentic Workflows

Create a new underwriting agent (assets, credit, collateral) following established patterns. Use when implementing new agents, extending the system with new document analysis capabilities, or understanding how agents work.

Standards for creating redteam plugins and graders. Use when creating new plugins, writing graders, or modifying attack templates.

Maintain .agent state files. Use at session start, after meaningful steps, and before concluding: read/update constitution/memory/focus/issues/baseline consistently.

Manage semantic versioning, changelog generation, and release notes. Auto-generates entries from completed issues or git diff.

Aggressive evidence-based audit to verify project claims match implementation reality

Create and maintain Claude Code agents/subagents (.claude/agents/*.md) with YAML frontmatter (name/description/tools/model/permissionMode/skills/hooks), least-privilege tool selection, delegation patterns (Task), context budgeting, and safety best practices.

Implement comprehensive audit logging for all admin actions, capturing user ID, action type, entity changes, IP address, and user agent. Use when tracking system activities or adding audit trails.

LangGraph development for stateful multi-agent applications, cyclic workflows, conditional routing, human-in-the-loop patterns, and persistent state management. Use for complex AI orchestration, agent coordination, and production-grade agentic systems.

guidance on how to properly do data migrations in Convex

Create your LiveKit Agents skill from official documentation, then learn to improve it throughout the chapter

Execute implementation tasks from design documents using markdown checkboxes. Use when (1) implementing features from feature-design-assistant output, (2) resuming interrupted work, (3) batch executing tasks. Triggers on 'start implementation', 'run tasks', 'resume'.

MCP Agent Mail - mail-like coordination layer for coding agents with memorable identities, inbox/outbox, searchable threads, advisory file reservations, pre-commit guards, and human-auditable Git artifacts. The backbone of multi-agent workflows.

Systematically deconstruct written content into verifiable claims, validate each using search/documentation, and facilitate informed discussion through structured interviewing.

CLAUDE.md file generation and optimization for Claude Code projects. Capabilities: initialize project instructions, analyze codebase context, optimize existing CLAUDE.md, apply Anthropic best practices, reduce token usage, improve effectiveness. Actions: init, create, optimize, enhance CLAUDE.md files. Keywords: CLAUDE.md, project instructions, Claude Code setup, project context, codebase analysis, Anthropic best practices, token optimization, project configuration, AI instructions, coding guidelines, project rules, workspace setup. Use when: initializing CLAUDE.md for new projects, optimizing existing project instructions, setting up Claude Code for a codebase, improving AI coding guidelines.

Migrate Agentic QE projects from v2 to v3 with zero data loss

Expert prompt engineering for creating effective prompts for Claude, GPT, and other LLMs. Use when writing system prompts, user prompts, few-shot examples, or optimizing existing prompts for better performance.

Create GitHub issues with TDD principles and proper labels

For fetching Rust/crate information, use this priority order:

Best practices for creating Claude Code slash commands. Use this skill when creating, editing, or improving custom slash commands for Claude Code. Covers frontmatter configuration, dynamic features ($ARGUMENTS, bash execution, file references), command patterns (git workflows, multi-agent orchestration, code review), and helps decide when to use slash commands vs skills vs subagents.