Agent Skills Hub

eval-harness

Official evaluation framework for AI agent sessions, implementing Evaluation-Driven Development (EDD) principles to ensure reliability.

ReasoningBank Intelligence

Implement adaptive learning with ReasoningBank for pattern recognition, strategy optimization, and continuous improvement in AI agents.

java-test

Executes Gradle-based Java tests, filters results for failures and key statistics, and provides concise reports to streamline backend development and debugging.

log-focus-debug

Focus debug skill for DashPlayer: isolates log chains, injects temporary focus markers ([FOCUS:token]), and ensures clean removal of debug artifacts after task completion.

scope-options

Plan mode on steroids. Push engineers to think with a product mindset before building with structured intake and concrete technical options.

spec-to-code-compliance

Verifies blockchain smart contract code against technical specifications, whitepapers, and design documents to ensure exact implementation compliance.

hegelion

Dialectical reasoning and adversarial coding agent for MCP-enabled editors, forcing LLMs to resolve internal contradictions for higher quality outputs.

memov

AI-assisted version control for code agents. Track prompts, context, and diffs automatically with MemoV to ensure full traceability without polluting your git history.

user-story

Create structured user stories using the Mike Cohn format with Gherkin acceptance criteria to translate requirements into testable, development-ready tasks.

api-design

Design and document REST or GraphQL APIs, including endpoint definitions, pagination, filtering, versioning, and OpenAPI/Swagger specifications.

always-works-testing

Mandatory execution-based validation for all software implementation tasks. Ensures code works through empirical verification before confirmation.

web-search

Autonomous research specialist for verified information gathering, source evaluation, and structured synthesis.