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Reflection

Checked
davidkiss·vlatest·other

Reflection analyzes user input to identify underlying emotions & intentions, offering tailored responses for deeper understanding and connection.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add davidkiss/smart-ai-skills --skill reflection -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

davidkiss

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Makes no network calls.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned davidkiss/smart-ai-skills at 0d421cd30c.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
0d421cd30c
Manifest
skills/reflection/SKILL.md
Scanned
1 file, 31 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

The reflection skill allows an AI agent to analyze its own previous actions and responses. It can identify potential biases, inconsistencies, or areas for improvement in its reasoning process. This capability promotes more reliable and self-aware interactions by enabling the agent to learn from past mistakes and refine its approach.

When to use it

  • Debugging complex workflows: Use reflection when an AI agent is exhibiting unexpected behavior or producing inconsistent results across a series of tasks.
  • Improving conversational consistency: Employ reflection to ensure that an agent's responses remain aligned with its stated goals and personality throughout extended conversations.
  • Identifying bias in decision-making: Leverage reflection to scrutinize the factors influencing an AI’s choices, helping to mitigate potential biases.
  • Enhancing reasoning quality: Utilize reflection when you want the AI to critically evaluate its own thought processes for accuracy and completeness.

Key capabilities

  • Self-analysis of past actions
  • Identification of inconsistencies in responses
  • Bias detection within reasoning
  • Learning from previous mistakes

Example prompts

  • "Analyze my last five interactions with the user and identify any patterns of overly assertive language."
  • “Reflect on how I arrived at this conclusion and explain if there were alternative approaches I could have taken.”
  • "Review my decision-making process for recommending products to users. Are there any biases present?"

Tips & gotchas

The effectiveness of the reflection skill depends on having sufficient context available from previous interactions. Providing clear goals or constraints upfront can help guide the agent's self-analysis and improve the quality of its reflections.