lararosekelley/dotfiles/reflect

Claude Code and agent skill by lararosekelley/dotfiles

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Propose durable improvements to agent rules and skills from the current conversation. Use when the user invokes /reflect or explicitly asks to turn session lessons or repeated corrections into workflow improvements. Do not trigger for ordinary feedback, task retrospectives, or requests to summarize work.

Install

npx vskill@latest install lararosekelley/dotfiles/reflect

SKILL.md

Reflect

Help the user improve how agents work without turning every correction into a permanent rule. Stay in this conversation and follow its approval requirements.

Help dispatch

If the entire argument is help, --help, or -h, print Usage and stop before reading files or investigating. Read the topic from the invocation or forwarded arguments. With no topic, use the current conversation.

Usage

/reflect [topic|help]

Propose up to three lasting improvements to agent instructions, grounded in this conversation. A topic narrows the review, for example:

text
/reflect
/reflect the repeated corrections during review
/reflect help

Each proposal names its evidence, intended scope, and exact edit. Nothing changes until you approve it. Reply with proposal numbers, revise a proposal in plain language, or say stop to return to normal conversation. This does not file issues or publish anything. Use /audit to assess existing rules more broadly.

Find useful lessons

  1. Start from the current conversation. Do not scan other projects or transcript

stores unless the user explicitly names that scope. If context is missing, say so; do not invent corrections or approval history.

  1. Separate explicit lasting preferences, repeated corrections, and one-off task

choices. Silence is not approval. One incident may justify a narrow bug fix, but not a universal rule. Prefer proposals that change a future decision.

  1. Read the relevant existing rule or skill before proposing changes. Check

whether the instruction is missing, contradictory, too vague, or simply was not followed. Do not duplicate a clear existing rule because adherence failed.

  1. Choose the right home: personal preferences in shared global rules, repository

conventions in project instructions, repeatable workflows in skills. Prefer a test, lint rule, or permission control for mechanically enforceable behavior. Explain when an instruction alone cannot enforce the requirement.

  1. Respect the user's delegation policy. Do not launch reviewer panels by default.

Propose and apply

Present at most three proposals. For each, give a brief observation from this session, the target path/scope, and the smallest exact replacement or addition. For a code-level enforcement proposal, name the behavior and check instead of pretending a prose edit implements it. Avoid a full session recap.

Ask which proposals to apply and wait. If none are useful, say so and stop. Do not automatically create backlog items, new skills, or tracking files.

Apply only approved proposals after re-reading their targets. Edit the canonical source when harnesses share a file. Preserve unrelated rules and local changes. If a request substantially changes a proposal, show its revision before applying. Follow any skill-authoring guidance for substantive skill changes; validate the affected files and describe behavioral verification that remains untested.

Finish with one line per applied change and any deferred proposal. Editing rules does not authorize commits, pushes, or external messages. On stop, preserve completed edits and return to normal conversation without further investigation.

Security

  • Security scanPassed, 90 of 100Pattern checks on the skill's files.
  • Model reviewPassed

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