MCPInstall

improve

Use after completing a task, before claiming done, before handoff, or when asked "what are some improvements?" Surfaces concrete suggestions grounded in session observations.

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Install

Works with every agent the skills CLI supports.

npx skills add https://github.com/alleneubank/claude-code --skill improve
  1. 01

    Install

    Run the command in your project. The CLI asks which agents to install for.

  2. 02

    Describe the task

    Ask your agent for something this skill covers. It loads improve automatically when relevant.

  3. 03

    Review the result

    The agent follows the SKILL.md steps, scripts and references bundled with the skill.

SKILL.md

The instructions your agent reads when the skill is triggered.

Improve

Structured improvement pass grounded in what was observed during this session.

Principles (Always Active)

  • Every suggestion must cite a specific observation — file path, error seen, pattern noticed, or behavior verified. "I saw X" beats "common practice suggests Y."
  • Distinguish grounded suggestions (observed evidence) from speculative ones (general knowledge). Mark speculative suggestions explicitly.
  • Prioritize by impact to the user, not by ease of description.
  • Do not suggest improvements that would change public API contracts, auth boundaries, or data schemas without flagging as high-risk.
  • Simplicity is a feature. Do not suggest adding complexity unless it prevents a concrete problem observed in this session.

When to Use

  • User asks "knowing what you know now, what are some improvements?" or similar
  • Before claiming done in a ralph loop (self-check)
  • Before generating a handoff
  • After completing a significant chunk of work
  • When reviewing code that was just written or modified

When Not to Use

  • At the start of a session before meaningful work has been done
  • When the user explicitly asks to skip review and ship
  • For architectural redesigns (use spec/plan flow instead)

Dimensions

Analyze across these dimensions. Skip any dimension with nothing grounded to say.

Correctness

Error handling gaps, unhandled edge cases, type safety issues, race conditions, missing validation at system boundaries.

Simplicity

Unnecessary indirection, dead code, naming that obscures intent, over-engineered abstractions, complexity that doesn't earn its keep. Reference the simplify skill for implementation.

Security

Auth boundary gaps, input validation holes, secret handling issues, OWASP concerns observed in touched code.

Test Coverage

Untested code paths observed during the session, missing test layers (unit/integration/e2e), fixture realism gaps, assertions that don't verify meaningful behavior.

Performance

Bottlenecks observed during the session (slow queries, N+1 patterns, unnecessary recomputation). Only flag what was actually observed, not hypothetical.

Developer Experience

API ergonomics issues, missing documentation for non-obvious behavior, CLI friction, configuration that should be extracted.

Workflow

  1. Gather context: Review what happened this session — files changed, commands run, errors encountered, tests written, patterns established.

  2. Analyze each dimension: For each, check whether session observations surface anything concrete. Skip dimensions with nothing to say.

  3. Structure each suggestion:

[IMP-N] effort/gate: summary
  Observation: what was seen (file:line, error message, test gap, etc.)
  Suggestion: concrete change
  Grounded: yes/no

Where:

  • effort: trivial (< 5 min) | small (< 30 min) | medium (hours)
  • gate: which delivery gate this strengthens: TDD | DEV | E2E | REVIEW | CI
  1. Sort by impact (highest first), not by dimension.

  2. Present as actionable list. If in a ralph loop, address trivial/small improvements inline before claiming done. Log medium improvements as decisions for the user to prioritize.

Integration with Ralph Loops

When running inside a ralph loop (.rl/state.json exists):

  • Run the improvement pass before .rl/rl done
  • Address trivial improvements inline — just fix them
  • Address small improvements if they're within the current milestone scope
  • Log medium improvements: .rl/rl log decision "IMP-N deferred: [reason]"
  • Do not expand scope beyond the task's milestones for medium improvements

Integration with Handoffs

When generating a handoff, include unaddressed improvements in the <next_steps> section. Use the same [IMP-N] format so the receiving agent can reference them.

Output Format

## Improvements

N suggestions (X grounded, Y speculative)

[IMP-1] trivial/DEV: Extract magic number to config constant
  Observation: `src/server.ts:42` uses hardcoded port 3000, but other services read from env
  Suggestion: Read from `PORT` env var with 3000 as default
  Grounded: yes

[IMP-2] small/TDD: Add boundary test for empty input
  Observation: `processItems([])` path untested — saw it handle non-empty arrays only in test suite
  Suggestion: Add test case for empty array input in `process-items.test.ts`
  Grounded: yes

[IMP-3] medium/E2E: Add timeout handling for external API calls
  Observation: Catalog search took 1.2s avg in profiling — no timeout configured
  Suggestion: Add configurable timeout with bounded retry
  Grounded: yes

Red Flags

  • Suggestions without observations — if you can't point to something specific, don't suggest it
  • More than 10 suggestions — focus on the top 5-7 by impact
  • Suggestions that expand scope beyond what was touched — stay within the blast radius of the current work
  • Generic "add more tests" without specifying which paths are untested

FAQ

What does the improve skill do?

Use after completing a task, before claiming done, before handoff, or when asked "what are some improvements?" Surfaces concrete suggestions grounded in session observations.

How do I install improve?

Run npx skills add https://github.com/alleneubank/claude-code --skill improve in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/improve/ (personal) or .claude/skills/improve/ (project).

Which AI agents can use improve?

Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.

Is improve safe to install?

No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.

Who maintains improve?

It is published by alleneubank in alleneubank/claude-code. It has 92 recorded installs.

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