reflection

davidkiss/smart-ai-skills · updated Apr 8, 2026

$npx skills add https://github.com/davidkiss/smart-ai-skills --skill reflection
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summary

Analyzes conversation patterns and tool usage to propose targeted skill improvements or user preferences.

  • Reviews conversation history and tool failures to identify gaps in skill definitions or recurring user preferences
  • Proposes one change at a time (either a skill update shown as a diff or a preference addition to CLAUDE.md ) for focused review
  • Requires explicit user confirmation before applying any changes to skills or preference files
  • Prioritizes failure analysis and user corr
skill.md

Reflection Skill

Overview

This skill is used to learn from interaction with the user and failures in tool calls. It analyzes what worked, what didn't (tool failures), and identifies recurring patterns or explicit user preferences that should be formalized.

Objectives

  • Improve Skills: Identify gaps or inefficiencies in existing skill definitions and propose concise updates.
  • Store Preferences: Capture user preferences, project-specific rules, or recurring instructions in a AGENT.md or CLAUDE.md (when used in Claude Code) file.

Process

  1. Analyze: Review the conversation history, tool calls, and any failures or corrections from the user.
  2. Identify: Determine if a specific behavior should be codified in a skill or if a user preference has emerged.
  3. Propose: Formulate a single, concise change.
    • If updating a skill, show a diff of the proposed change.
    • If adding a preference, show the proposed addition to CLAUDE.md.
  4. Confirm: Present the proposal to the user and ask for explicit confirmation without making any changes first.
  5. Apply Changes: Once user confirmed the changes, only then apply them

Guidelines

  • One at a time: Only propose one change per invocation to maintain focus and allow for careful review.
  • Conciseness: Keep changes as brief as possible. Often a few words are enough to clarify a requirement or fix a common mistake.
  • Accuracy: Ensure the proposal directly addresses a real issue or preference observed in the session.
  • Specificity: Think how you could make the learnings more generic to apply to other use cases, but don't make the changes too generic so that it would not address the original learnings
  • Failure Analysis: Pay special attention to tool failures or when the user has to correct your approach. These are primary candidates for reflection.
  • Conflict Resolution: If a proposed change conflicts with details of an existing skill or user preference, propose a resolution that best serves the user's current intent.

Discussion

Product Hunt–style comments (not star reviews)
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general reviews

Ratings

4.730 reviews
  • Shikha Mishra· Dec 28, 2024

    reflection has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Alexander Gill· Dec 28, 2024

    Useful defaults in reflection — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Mateo Abbas· Dec 20, 2024

    We added reflection from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Rahul Santra· Nov 19, 2024

    reflection reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Mateo Ramirez· Nov 11, 2024

    reflection fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Pratham Ware· Oct 10, 2024

    We added reflection from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Valentina Kapoor· Oct 2, 2024

    reflection has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Anaya Torres· Sep 17, 2024

    reflection is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Anaya Anderson· Aug 8, 2024

    Solid pick for teams standardizing on skills: reflection is focused, and the summary matches what you get after install.

  • Alexander Iyer· Jul 27, 2024

    I recommend reflection for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

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