Reflection

davidkiss/smart-ai-skills/skills/reflection

by davidkiss0d421cd30cbd83805cb5e72a1a257284df413670No licenseListed Oct 9, 2026Updated Oct 9, 2026

MUST use this skill when user provides feedback / ask to do things in certain way, or when a tool call fails - for self-improvement - to learn user preferences and store them in AGENT.md / CLAUDE.md, and to propose improvements to skills.

Instructions onlyAI & Agents
AI-generated overview

Learns user preferences and tool-failure lessons from a session, then proposes confirmed updates to AGENT.md, CLAUDE.md, or skills.

What it does
Analyzes conversation history, tool calls, failures, and user corrections to identify recurring preferences or gaps in existing skill definitions. It formulates one concise change at a time, showing either a diff for a skill or a proposed addition to AGENT.md/CLAUDE.md. It presents the proposal for explicit user confirmation and only applies changes after that confirmation.
When to use it
Use when the user gives feedback, asks for work to be done in a particular way, or when a tool call fails. It is meant for capturing durable preferences and improving skill definitions over time.
Requirements
No scripts or special tooling; it operates on the agent's conversation context and needs write access to AGENT.md, CLAUDE.md, or skill files to apply confirmed changes.

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.

Source and attribution

Source:davidkiss/smart-ai-skillsinskills/reflectionat commit0d421cd

License: No license

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