skillbox

Decompose complex work into independent parallel sub-agents with no write overlap, synthesize or consume a `WORKGRAPH.md` execution artifact, and launch describe-style worker briefs before review. Use before spawning multiple agents for multi-file, multi-domain, or naturally parallel tasks.

Plan new multi-repo domain slices, assess plan quality, or orchestrate implementation from an accepted slice plan. Use for "plan the X slice", multi-repo feature planning, API contract design, "implement the X slice", or slice-quality review; not for bug fixes, small refactors, or single-repo work.

Three modes: audit active implementations against plan, retire completed slices into lean COMPLETED.md summaries, and retire-session consolidation of DONE session plans. Use for review/audit slice, what's left checks, retire/close out/finalize slice, or retire session plans workflows.

Scaffold backend or frontend domain code from an existing slice plan using a shared stack-aware workflow. Use for "scaffold a domain slice", "implement the backend for {slice}", "implement the frontend for {slice}", or "scaffold {slice}" after domain-planner finishes a slice plan. This is the only supported domain scaffolder skill.

Review and score your AI prompting quality. Analyzes Claude Code and Codex conversation history to evaluate clarity, context, collaboration, and outcomes on a 23-point scale. Tracks scores over time for week-over-week progress. Use when asked to "review my prompts", "score my prompts", "benchmark myself", "rate my prompting", "analyze my conversations", "prompt quality check", "show my trend", "prompt progress", "backfill my history", "backfill next", "list weeks", or "/prompt-reviewer". Also triggers on "how am I doing as a prompter?" or "what can I improve?" or "show my prompt history" or "what weeks haven't I reviewed?".

Create, update, review, and package skills for AI coding agents. Use when asked to "create a skill", "make a skill", "new skill", "skill template", "design a skill", "build a skill", "review this skill", "improve this skill based on past runs", "when did we last use this skill", or when working with SKILL.md files, frontmatter, bundled resources (scripts/, references/, assets/), .skill packaging, or Claude/Codex transcript-driven skill reliability. Also triggers on "how do I make a skill", "skill best practices", "skill structure", "skill reliability", "operator evidence", or requests to extend an agent's capabilities with reusable workflows.

Run a prompt or slash command on a recurring interval (e.g. /loop 5m /foo). Omit the interval to let the model self-pace. Use when the user wants to set up a recurring task, poll for status, or run something repeatedly on an interval.

Identify the single most accretive, highest-leverage next move, then by default define a goal sequence that encompasses it, turn it into a set of no-ragrets beads, and pursue the goal. Use when tagged with /smart, when the user wants to identify the highest-leverage next move, most impactful addition, or smartest thing to do next, when the user asks for smart goal mode, ambitious goal tracker, Gantt or ganntt plan, or when the user wants /smart to continue, iterate, or loop through bounded rounds until a concrete goal or success criterion is met.

Manage the skillbox runtime graph from inside the box. Onboard projects via blueprints, orchestrate services, diagnose and heal runtime issues, and maintain box health through manage.py. Activate when the user asks about box state, wants to set up a project, needs service management, or when something in the environment is broken.

CASS Memory System (cm) for procedural memory. Use when starting non-trivial tasks, learning from past sessions, building playbooks, or preventing repeated mistakes via trauma guard.

Run a mode-driven local development health check across repos, env files, containers, and health endpoints. Use for "dev sanity", "what's broken locally", "check my local stack", "startup checks", "service status", or "why won't this local environment boot".