Agent Building skills

Browse reusable Agent Skills, each with a clear purpose and practical guidance.

context-engine-builder

Generate a context engine — seven structured blueprint files (UX, UI, content, accessibility, ethical, technical, business intelligence) that encode everything an AI agent needs to work with a design system. This produces YAML infrastructure in .ai/context-engine/, NOT a health score or quality assessment. Trigger when someone says: build a context engine, create a system brain, build the seven blueprints, context engine, blueprint stack, encode design system knowledge for AI, make our system AI-navigable, or anything about creating structured knowledge files that AI agents load to understand the system. Do NOT trigger for scoring or assessing system health — use system-health for that.

143 repo starsObserved in 1 repos

Agent Building

GitHub

Dispatching Parallel Agents

Use multiple Claude agents to investigate and fix independent problems concurrently

143 repo starsObserved in 1 repos

Agent Building

GitHub

governance-encoder

Convert governance policies into machine-executable JSON constraint files that AI agents and CI pipelines validate against automatically. This produces rule engine files in .ai/governance/, NOT narrative decision records or documentation. Trigger when someone says: encode governance rules, governance as code, automate governance, rule engine, machine-executable constraints, enforce rules automatically, constraint definitions, or anything about converting human-readable policies into structured rules that tools check programmatically. Do NOT trigger for documenting why a decision was made or recording the reasoning behind a choice — use decision-record for those.

143 repo starsObserved in 1 repos

Agent Building

GitHub

i4h-workflow-dataset-teleop

Record episodes for an agentic env via teleoperation (keyboard, SO-ARM leader, or VR) into HDF5. Use when the user wants to teleop or record human demos.

143 repo starsObserved in 1 repos

Agent Building

GitHub

i4h-workflow-e2e

Run the full end-to-end agentic pipeline (record → mimic → annotate → replay → convert → visualize → finetune → validate). Use when asked to run the whole pipeline or do an e2e, smoke, or demo run.

143 repo starsObserved in 1 repos

Agent Building

GitHub

i4h-workflow-finetune

Fine-tune a GR00T or openpi PI0 policy on a LeRobot dataset. Use when asked to finetune, train, or post-train a policy on demos; not for evaluating a checkpoint (use [[i4h-workflow-validate]]).

143 repo starsObserved in 1 repos

Agent Building

GitHub

i4h-workflow-setup

Verify host requirements and run `workflows/agentic/setup.sh`. Use when asked to set up, install, or bootstrap the agentic workflow, or hits missing `.venv`, third-party checkout, or engine errors.

143 repo starsObserved in 1 repos

Agent Building

GitHub