Habitat-Thinking

Habitat-Thinking/ai-literacy-superpowers

Plugin Claude Code

Marketplace listing for the ai-literacy-superpowers Copilot plugin — provides easy install and canonical plugin metadata.

Habitat-Thinking/ai-literacy-superpowers

Hook Claude Code

Runs when the agent finishes a response, executing reservoir-check.sh via bash. From Habitat-Thinking/ai-literacy-superpowers.

Habitat-Thinking/ai-literacy-superpowers

Settings file Claude Code

Agent settings declaring 1 hook event (Stop) and 1 allowed tools.

Habitat-Thinking/ai-literacy-superpowers

Cursor rule Cursor

Architectural constraints synced from HARNESS.md.

Habitat-Thinking/ai-literacy-superpowers

Cursor rule Cursor

Project conventions synced from HARNESS.md.

Habitat-Thinking/ai-literacy-superpowers

Instructions file GitHub Copilot

Copilot instructions for Habitat-Thinking/ai-literacy-superpowers, covering project conventions and constraints, stack, naming, file structure and error handling.

Habitat-Thinking/ai-literacy-superpowers

Instructions file CodexOpenCode

AGENTS.md instructions for Habitat-Thinking/ai-literacy-superpowers, covering compound learning, style, gotchas, archdecisions and teststrategy.

Habitat-Thinking/ai-literacy-superpowers

Instructions file

Claude Code instructions for Habitat-Thinking/ai-literacy-superpowers, covering ai-literacy-superpowers — conventions, always work on a branch, pr workflow, commit messages and changelog.

Habitat-Thinking/ai-literacy-superpowers

Plugin Claude Code

The AI Literacy framework's complete development workflow — harness engineering, agent orchestration, literate programming, CUPID code review, compound learning, and the three enforcement loops.

Habitat-Thinking/ai-literacy-superpowers

Agent

Use after spec-writer completes (spec mode) or after the final code-reviewer PASS (code mode) — reads the spec or implementation and produces a structured objection record; read-only trust boundary enforces the human-cognition gate on dispositions at both gates.

Habitat-Thinking/ai-literacy-superpowers

Agent

Use this agent to run an AI literacy assessment — scans the repository for observable evidence, asks clarifying questions, and produces a timestamped assessment document with a README badge. Examples: Context: User wants to know their team's AI literacy level user: "Where are we on the AI literacy framework?"…

Habitat-Thinking/ai-literacy-superpowers

Agent

Use when starting any new task via the orchestrator — reads the raw task description, slices it into end-to-end-complete pieces, and produces a structured slicing record; read-only trust boundary enforces the human-cognition gate on dispositions; runs at orchestrator step 0 before spec-writer.

Habitat-Thinking/ai-literacy-superpowers

Agent

Use after spec-mode advocatus-diaboli dispositions are resolved and before plan approval — reads the spec, reconstructs the decisions it implies (including the silent ones), and produces a structured choice-story record; read-only trust boundary enforces the human-cognition gate on dispositions.

Habitat-Thinking/ai-literacy-superpowers

Agent

Use at session close via /coda — surveys what landed and what is still live, proposes a thread grouping for the human to confirm, and returns parking-record content with a concrete next action per thread; read-only by design, it writes nothing and never decides that a session should end.

Habitat-Thinking/ai-literacy-superpowers

Agent

Use after implementation is complete and tests are green — reviews code through the CUPID and literate programming lenses, returns PASS or a prioritised list of findings.

Habitat-Thinking/ai-literacy-superpowers

Agent

Use at plan approval, after spec-mode advocatus-diaboli dispositions are resolved and alongside the choice-cartographer — reads the spec, maps the roles and groups it affects, drafts the one concrete question worth asking each of them, and produces a structured consultation record; never contacts anyone, and the…

Habitat-Thinking/ai-literacy-superpowers

Agent

Use to estimate the token usage, agent-compute time, and (only when a cost snapshot grounds it) the dollar cost of a task BEFORE it runs — given a target (raw task text, a slicing record, a single slice, or a spec), reads MODELROUTING.md and the latest observability/costs/ snapshot, applies the cost-estimation…

Habitat-Thinking/ai-literacy-superpowers

Agent

Use this agent when conducting a deep governance investigation — semantic drift analysis, governance debt inventory, constraint falsifiability scoring, three-frame alignment checks, or governance health reporting. Examples: Context: User runs /governance-audit user: "/governance-audit" assistant: "I'll use the…

Habitat-Thinking/ai-literacy-superpowers

Agent

Use this agent when verifying the health of the harness itself — checking whether declared enforcement in HARNESS.md matches what actually exists in the project. Examples: Context: User runs /harness-audit user: "/harness-audit" assistant: "I'll use the harness-auditor to check whether the harness matches reality."…

Habitat-Thinking/ai-literacy-superpowers

Agent

Use this agent when scanning a project to discover its tech stack, existing linters, CI configuration, test frameworks, and pre-commit hooks. Examples: Context: User is running /harness-init on a new project user: "/harness-init" assistant: "I'll use the harness-discoverer agent to scan the project before asking about…

Habitat-Thinking/ai-literacy-superpowers

Agent

Use this agent when verifying constraints from HARNESS.md against code — running deterministic tools or performing agent-based reviews. Examples: Context: CI needs to check PR constraints user: "Run the harness constraint checks on this PR" assistant: "I'll use the harness-enforcer agent to verify all PR-scoped…

Habitat-Thinking/ai-literacy-superpowers

Agent

Use this agent when running garbage collection checks from HARNESS.md — periodic entropy-fighting sweeps for documentation staleness, dead code, convention drift, and dependency currency. Examples: Context: Weekly scheduled garbage collection run user: "Run the weekly garbage collection checks" assistant: "I'll use…

Habitat-Thinking/ai-literacy-superpowers

Agent

Use when implementation and code review are complete — updates CHANGELOG, commits all changes, opens a PR, watches CI, merges when green, closes the linked issue, and prunes the local branch.

Habitat-Thinking/ai-literacy-superpowers

Agent

Use on demand via /mast to read the pact a human authored for themselves — reports each budget key with an observed/inferred/asked flag, refuses to estimate spend it cannot see, notes when a budget was tuned today, and recites the pact's own words rather than only measuring against them; read-only by design and never…