Habitat-Thinking/ai-literacy-superpowers
Agent
Use when starting any new feature, fix, improvement, or refactoring task — receives a plain-English task description and coordinates the full pipeline from spec update through to merged PR and closed issue.
Habitat-Thinking/ai-literacy-superpowers
Agent
Use on demand via /reservoir to watch the human verifier the harness cannot verify — counts observable proxies (session span, decision volume, context switches, wall-clock hour) over the recent git window, reports each with an observed/inferred/asked flag, and if a threshold is crossed offers the single…
Habitat-Thinking/ai-literacy-superpowers
Agent
Use when a feature, behaviour change, or improvement needs to be captured in a spec before implementation begins — updates spec and plan files so the project's spec-first discipline is upheld.
Habitat-Thinking/ai-literacy-superpowers
Agent
Use after spec-writer has updated the spec and plan, and the user has approved the plan — writes failing tests that express the new acceptance scenarios, then confirms they are red before any implementation is written.
Habitat-Thinking/ai-literacy-superpowers
Agent
Use on demand via /wip to count live sessions against the limit the human declared for themselves — reports the count with its honesty flag, lists which sessions and how long since each last took a turn, and never invents a limit or speculates about the person; counts sessions and never watches the human.
Habitat-Thinking/ai-literacy-superpowers
Command
Run an AI literacy assessment — scan the repo for evidence, ask clarifying questions, produce a timestamped assessment document, apply immediate habitat fixes, recommend workflow changes, capture a reflection, and add a literacy level badge to the README.
Habitat-Thinking/ai-literacy-superpowers
Command
Run the carpaccio agent (cadence governor) on a task description — produces a slicing record at docs/superpowers/slices/ .md; use at orchestrator step 0 or before spec-writer when running manually.
Habitat-Thinking/ai-literacy-superpowers
Command
Run the Choice Cartographer (decision-archaeology agent) on a spec — produces the choice-story record at docs/superpowers/stories/ .md; use after spec-mode /diaboli dispositions are resolved, before plan approval.
Habitat-Thinking/ai-literacy-superpowers
Command
Close a session deliberately — survey what landed and what is still live, park each open thread with a concrete next action, write the closure summary through /reflect, and end. Dispatches the read-only coda agent and persists what it returns after you confirm.
Habitat-Thinking/ai-literacy-superpowers
Command
Run the Convener on a spec — maps the roles and groups it affects, drafts the concrete question worth asking each one, and writes the consultation record at docs/superpowers/consultations/ .md; never contacts anyone; use at plan approval alongside /choice-cartograph.
Habitat-Thinking/ai-literacy-superpowers
Command
Sync HARNESS.md conventions to Cursor, Copilot, and Windsurf convention files.
Habitat-Thinking/ai-literacy-superpowers
Command
Capture AI tool cost data — guide through provider dashboards, record spend and token usage, compare to previous snapshot, update MODELROUTING.md.
Habitat-Thinking/ai-literacy-superpowers
Command
Estimate a target's tokens, agent-compute time, and (when grounded) cost before it runs — the prospective sibling of /cost-capture. Dispatches the read-only cost-estimator agent, validates the returned record, and writes it after you dispose.
Habitat-Thinking/ai-literacy-superpowers
Command
Run the adversarial reviewer on a spec or implementation — produces the objection record at docs/superpowers/objections/ .md (spec mode) or -code.md (code mode); use after spec-writer completes or after the final code-reviewer PASS.
Habitat-Thinking/ai-literacy-superpowers
Command
Run a guided convention extraction session — surfaces tacit team knowledge through structured questions and maps answers to CLAUDE.md conventions and HARNESS.md constraints.
Habitat-Thinking/ai-literacy-superpowers
Command
Run a deep governance investigation — semantic drift analysis, governance debt inventory, constraint falsifiability scoring, three-frame alignment checks, and governance health reporting.
Habitat-Thinking/ai-literacy-superpowers
Command
Guided authoring of governance constraints — translates governance language into operational meaning with three-frame alignment check, then writes the constraint to HARNESS.md.
Habitat-Thinking/ai-literacy-superpowers
Command
Show governance health snapshot — constraint count, falsifiability ratio, drift score, debt inventory, last audit date. Pass --dashboard to generate the HTML governance dashboard.
Habitat-Thinking/ai-literacy-superpowers
Command
Manage the project's affordance inventory — declared tools the agent can invoke, the identity each tool runs under, and the audit trail each tool produces. Subcommands - discover (scan config to produce a draft inventory), add (promote a draft into HARNESS.md with governance metadata), review (re-validate one…
Habitat-Thinking/ai-literacy-superpowers
Command
Run a full meta-verification of the harness — check whether HARNESS.md matches reality and update the status.
Habitat-Thinking/ai-literacy-superpowers
Command
Add a new constraint to HARNESS.md or promote an existing one from unverified to agent or deterministic.
Habitat-Thinking/ai-literacy-superpowers
Command
Manage and run garbage collection rules — add new periodic checks or run existing ones on demand.
Habitat-Thinking/ai-literacy-superpowers
Command
Generate a harness health snapshot — enforcement status, mutation trends, learning velocity, cadence compliance, and meta-observability checks.
Habitat-Thinking/ai-literacy-superpowers
Command
Set up a living harness for this project — select features, discover the stack, define conventions, generate HARNESS.md with enforcement. Re-run to add features incrementally.