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Teams often get inconsistent colors when agents add direct CSS values in component code. This skill guides Claude, Codex, and Claude Code to use Material UI theme colors and customColors.

Coordinated agent work can miss issue requirements or merge incomplete PRs. Devflow provides gates for task extraction, review, approval, and issue-linked merges.

Organizations struggle to convert specialist data knowledge into reliable agent systems. This skill provides structured methods for requirements, capabilities, workflows, controls, and evaluation.

Teams lose context when source files lack clear purpose and dependency notes. This skill guides Claude, Codex, and Claude Code to add concise header comments for supported code files.

Advanced AgentDB projects need reliable patterns for sync, search, and database operations. This skill gives practical guidance for QUIC sync, hybrid search, sharding, and production tuning.

Teams need practical guidance for reinforcement learning agents in AgentDB. This skill provides templates, training workflows, and evaluation patterns for learning plugins.

Building a production REST API requires aligned requirements, implementation, testing, documentation, and deployment. This skill provides a two-week TDD workflow for coordinating specialized agents.

Agent framework audits often miss the translation layer between internal state and provider APIs. This skill guides Claude, Codex, and Claude Code through message formats, tool calls, streaming events, and provider abstractions.

Agent frameworks often hide how tools are registered, validated, and retried. This skill guides a structured review of tool abstractions, schemas, built-in tools, and error feedback.

Stale context files mislead agents and increase maintenance risk. Gardener verifies documentation against code, repairs references, and keeps risk baselines controlled.

Code changes can miss acceptance criteria, repository rules, or security boundaries. This skill performs a read-only review and returns structured, line-anchored findings.

Turn plain-English product requirements into a reactive, type-safe Convex backend design. Get guidance for schemas, functions, authentication, storage, scheduling, real-time features, and agent workflows.