SuperAPI AI Directory

improve

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Updated 10-16 00:23

About this skill

Pre-computed context

Current branch: !git branch --show-current 2>/dev/null || echo "unknown" Recent commits: !git log --oneline -10 2>/dev/null || echo "no commits" Working tree status: !git status --porcelain 2>/dev/null | head -10 || echo "clean"

Variables

Arguments: $ARGUMENTS

Purpose

Improvement is distinct from review and planning. Review evaluates a DIFF against criteria (reactive). Planning designs NEW work (forward-looking). This skill scans EXISTING code for friction and proposes candidates for improvement (proactive).

The scan-present-pick process generalizes across improvement lenses. Each lens (action) brings its own analysis method and vocabulary via an actions/<lens>.md playbook plus a research/<lens>/ reference set, loaded only when that lens runs. The first lens, deepening, implements Ousterhout's deep-module concept — finding shallow modules (interface nearly as complex as implementation) and proposing how to deepen them. The aim is testability and AI/agent-navigability (AX): a deep module's small interface lets a reader — human or agent — grasp its purpose without traversing the whole import graph.

This finds existing friction — it does not plan new work, apply mechanical code-level tidyings, enforce rules on a diff, or review changes before a PR. Those are separate concerns handled by planning, tidying, rule-enforcement, and review tools respectively (see "Composition").

Actions

Argument Action What it does
(empty) Defaults to deepening Runs the deepening lens
deepening Deepening (Ousterhout) Shallow→deep module scan → HTML report → interview loop (with a Design-It-Twice branch for parallel interface exploration) → hand off an agreed candidate for planning. Full process: actions/deepening.md

One lens per invocation — lenses don't chain implicitly. Read the action's playbook for its full process.

Adding a lens

A new improvement lens (e.g. coupling, testability, dependency-direction review) is a pure ADD — never edit an existing lens's contract to add one (open for extension, closed for modification):

  • actions/<lens>.md — the lens playbook (phases, gates, output shape)
  • research/<lens>/ — reference for that lens, loaded only when its action runs (per-action progressive disclosure)
  • one row in the Actions table above

What this skill does NOT do

  • Does not plan implementation — produces candidates + agreed shape; a planning step plans the work
  • Does not enforce rules — a rule-enforcement reviewer does that reactively on a diff
  • Does not apply mechanical tidyings — code-level tidyings (rename, extract, inline) are a separate, smaller-grained concern
  • Does not review a diff — pre-merge review tools do that
  • Does not write code — discovery and design skill only
  • Does not brainstorm a rough problem — this skill hunts architecture friction on its own lenses; open-ended "how could we approach X" divergence is a brainstorming concern

Composition

Graceful degradation — where a named step below is not available in the consuming project, inline the equivalent work in this session instead of blocking on it.

When Then How
A debugging pass finds an architectural root cause Run this skill's deepening lens Structured deepening review of the affected module
A candidate shape is agreed Hand off to a planning skill if the project has one; else summarize the agreed shape for planning Consumes the agreed-shape entry from the candidate artifact (see actions/deepening.md)
During the interview loop Maintain resolved project vocabulary Invoke /domain-driven-design:curate-language when available in the current session; otherwise update an existing consumer-declared glossary in its own shape
Post-improvement Review the implemented changes with the project's review tool Standard diff review

Gotchas

Observed failure history — patterns that have actually bitten. Add here when a new one surfaces.

  • The durable candidate artifact is a per-project memory-tier file, never ${CLAUDE_PLUGIN_DATA}. That token does not substitute in skill markdown content (it is a hook/monitor/MCP path substitution only), and even resolved it points at a plugin-global dir that collides candidates across projects. The artifact resolves through the marketplace topic-docs convention (the plugin's topic-docs binding) — memory tier, default .work/<topic-slug>/. A ${CLAUDE_PROJECT_DIR}/.claude/... path is also wrong: .claude/ generated output is reserved for observability, and an unignored artifact there leaks scan output into git.
  • Scan-agent claims are shipped only after Phase 1.5 reproduction. Explore agents have a demonstrated error rate: a real run reported a service "registered but never composed — a bug in the seam" that one grep disproved (it is consumed, via a different consumer, with tests). Any candidate headed for a Strong badge and any runtime-bug / dead-code claim is reproduced against the actual code before it reaches the user-facing report — the report lends every claim its authority, so an unreproduced overstatement is cheap to make and expensive to reputation.