Agent Skills Hub

flaky-detect

Identify, categorize, and troubleshoot flaky tests by analyzing CI history, execution patterns, and code structure to improve test suite reliability.

synapse

Autonomous pattern detection and skill recommendation engine that monitors project memory, logs, and task lists to evolve your AI agent's capabilities automatically.

qc

Automated quality gate using 5 parallel AI agents to review code changes for correctness, style, and consistency.

confluence-docs

Standardized technical documentation templates for ADRs, runbooks, architecture, and knowledge transfer in AI agent workflows.

Writing Hookify Rules

Create and configure Hookify rules to watch for specific patterns in files, bash commands, or user prompts.

doc-updater

Automatically detect code changes and suggest documentation updates. Keeps READMEs, API specs, and configuration guides in sync with your implementation.

context-driven-testing

Apply context-driven testing principles to adapt testing strategies based on project goals, risks, and constraints rather than relying on universal best practices.

consultancy-practices

Apply effective software quality consultancy practices. Use when consulting on QA strategy, advising development teams, or establishing sustainable quality workflows.

btca-cli

Operate the btca CLI for source-first code research. Manage git, local, and npm resources to ground AI answers in actual codebase context rather than outdated documentation.

start

Initiates automated reverse engineering by discovering codebase architecture, layers, and technology stacks to facilitate system modernization or documentation.

posit-news

Fetch and aggregate the latest Posit news, blog posts, podcast episodes, video content, and event announcements using automated sub-agents.

Investigating Code Patterns

Systematically trace code flows, locate implementations, diagnose performance issues, and map system architecture to understand complex codebases.