generate-goldens

Create evaluation datasets in JSON, CSV, or JSONL format for Dokimos

1 skill

Scaffold a new Evaluator implementation following Dokimos conventions

1 skill

Scaffold a Dokimos Experiment with dataset, task, evaluators, and reporter

1 skill

Scaffold eval-driven tests using dokimos-junit with @DatasetSource and Assertions.assertEval()

1 skill

Set up evaluation of Google ADK (Agent Development Kit) agents using Dokimos

1 skill

Set up evaluation of AI agents with tool call validation, correctness checks, and task completion using Dokimos

1 skill

MetaHarness integration — surfaces score/genome/mint/mcp-scan/threat-model via skills; pairs with @metaharness/router (ADR-148/149) for cost-optimal model routing; honors ADR-150 optional-augmentation constraint

13 skills · 1 command · 1 agent · hooks

Agent skills for Azure SQL Developer, the Azure SQL Database engine running locally in a container. Teaches your agent to run the engine, connect, migrate, scaffold, build RAG, wire CI, and go local-to-cloud, using the real Private Preview image instead of the SQL Server image.

17 skills

REST and GraphQL API scaffolding, framework selection, backend architecture, and API generation

1 skill · 4 agents

14 bundled product skills with 19 Python tools: product-skills fork-orchestrator with continuous-discovery loop (deterministic 16-lane router, Torres cadence tracker, OST linter, /cs-product + /cs-grill-product + /cs-product-loop), product manager toolkit (RICE, PRDs), product strategist, UX researcher, UI design system, competitive teardown, landing page generator, SaaS scaffolder, product analytics, experiment designer, product discovery, roadmap communicator, spec-to-repo, design-qa (UI finish gate: inert controls, missing states, rendered WCAG 2.2 checks). Companion standalone plugins: agile-product-owner, code-to-prd, apple-hig-expert, research-summarizer, design-qa.

14 skills · 3 commands · 1 agent · hooks

Comprehensive context engineering and harness engineering skills for production-grade AI agent systems: fundamentals, degradation patterns, compression, optimization, self-managed context (model-controlled live context editing), multi-agent coordination, long-horizon prompting (pseudo-formal task briefs for long-running and parallel agents), memory systems, tool design, filesystem context, hosted agents, evaluation, autonomous harnesses, self-improvement loops (RSI, meta-harnesses, evolutionary scaffold search), latent briefing (KV cache sharing between agents), project development, and cognitive architecture. Ships with a researcher operating system (rubrics, mechanism registry, claim provenance, run state machine, adversarial benchmarks, continuous loop).

19 skills

에이전트 팀 & 스킬 아키텍트 v2. 도메인/프로젝트에 맞는 하네스를 구성하고, 전문 에이전트를 정의하며, 에이전트가 사용할 스킬을 생성하는 메타 스킬. 워크플로우 오케스트레이션 · 퍼시스턴트 에이전트 협업 · 서브에이전트 위임 3중 실행 모드 지원.

2 skills