ai-literacy-superpowers
Harness engineering, spec-first pipelines, and AI literacy assessment
All Skills in This Repository (28)
Pure Emerald Level Indicatorsgithub-actions-supply-chain
Assess GitHub Actions workflows for supply-chain security weaknesses.
constraint-design
Design enforcement-ready constraints with rule text, enforcement type, tool mapping, and scope metadata.
governance-constraint-design
Translate governance language into falsifiable constraints for HARNESS.md.
dependency-vulnerability-audit
Audit Go modules and Maven/JVM dependencies for vulnerabilities and provenance.
harness-observability
Parse structured snapshots to compute cadence trends and meta-observability checks.
team-api
Generate or update Team Topologies Team API documents with AI literacy portfolio assessment data.
verification-slots
Automate constraint verification across code changes and tool outputs.
convention-extraction
Extract tacit team conventions into versioned HARNESS.md and CLAUDE.md artefacts.
governance-observability
Generate governance health dashboards and JSON audit snapshots for repositories.
cross-repo-orchestration
Coordinate changes across multiple repositories to synchronize skills, templates, agents, and harness policies.
governance-audit-practice
Detect semantic drift and inventory governance debt in governance constraints.
context-engineering
Curate codebase context and enforceable conventions for AI agents.
Frequently Asked Questions
FAQPage SchemaHow to install ai-literacy-superpowers?βΌ
Run `npx skills add Habitat-Thinking/ai-literacy-superpowers --all -g -y` in your terminal to install all skills globally.
What is harness engineering for AI coding?βΌ
It is the practice of combining deterministic checks, conventions, and periodic audits so AI-generated code stays trustworthy and maintainable at scale.
How does the spec-first pipeline work?βΌ
A task is sliced into small decisions, written into a spec, challenged by an adversarial reviewer, and approved by a human before any implementation code is written.
Can it measure my team's AI literacy level?βΌ
Yes. The assessment skill scans your repository for evidence, asks a few clarifying questions, and produces a level report with a prioritised improvement plan.
Does it work with Claude Code and Copilot CLI?βΌ
Yes. Skills, agents, and hooks are shared identically between Claude Code and GitHub Copilot CLI, with commands translated per platform.
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