AI Agent Skills

Generate, execute, and analyze tests for codebases, covering unit, integration, and end-to-end testing with coverage reporting.

Critique generated UI, copy, or code when the user requests a quality review of AI output.

Unified OKF Harness entrypoint for Claude Code. Use when the user asks to create, find, select, repair, check, ingest into, reconcile, answer from, or graph an OKF Harne…

Use when writing API documentation, READMEs, tutorials, reference guides, error messages, or any technical content for developers using the Google developer documentatio…

Builds assessment instruments for university professors — pipeline Stage 3. 7-agent team covering test blueprints, exam/quiz/question-bank item writing, rubric design (a…

Slide deck production for university professors. 4-agent team turning slide outlines and lecture notes into actually rendered deck files — Marp, Pandoc, Beamer via tecto…

Executable teaching-artifact builder for STEM professors — pipeline Stage 2 extension. 5-agent team that builds lab and programming assignments as working packages: per-…

Recorded-media scripting for university professors. 4-agent team turning lecture notes and flipped-class specs into mini-lecture video scripts, shot-by-shot storyboards,…

Specification-driven submission auditing for university professors. 4-agent team that compiles a professor's template, requirements doc, rubric, or exemplar into a check…

Scaffolds Algorand projects using AlgoKit CLI, manages LocalNet, and retrieves code examples from official GitHub repositories. Use when initializing projects with algok…

Develops Algorand smart contracts in Python using PuyaPy — covers syntax, decorators, storage, transactions, types, testing with pytest, deployment, AlgoKit Utils, ARC-4…

Develops Algorand smart contracts in TypeScript using Algorand TypeScript (PuyaTs). Covers contract syntax, AVM types, storage patterns, transactions, ABI methods, testi…

Mathlib code quality and style enforcement for Lean 4

Use this when adding evaluation to an LLM/agent app - measuring output quality (correctness, faithfulness, relevance, safety) rather than just watching traces. Trigger o…

Use this to build a good evaluation dataset for an LLM app, the part everyone underestimates. Trigger on "make an eval set", "what should I test my LLM on", "I don't hav…

Use this to build or change an LLM feature the reliable way, by writing evals first and iterating against them, instead of tweaking prompts by vibes. Trigger on "how do…