Skip to content
TrustedSkillsbeta
Back to all skills

Continuous Learning V2

Checked
peopleforrester·vlatest·productivity·MIT

This skill continuously updates its knowledge base based on new data, ensuring more relevant and accurate responses over time.

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 peopleforrester/claude-dotfiles --skill continuous-learning-v2 -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

peopleforrester

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 peopleforrester/claude-dotfiles at db7caa0374.

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

Commit
db7caa0374
Manifest
skills/optimization/continuous-learning-v2/SKILL.md
Scanned
1 file, 124 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

This skill, continuous-learning-v2, enables AI agents to learn and adapt based on new information provided during a conversation. It allows the agent to retain knowledge across multiple interactions, improving its ability to provide relevant and personalized responses over time. The skill specifically focuses on incorporating user feedback and external data sources into the agent's understanding.

When to use it

  • Personalized Assistants: Build an assistant that remembers your preferences and past requests for a more tailored experience.
  • Knowledge Base Updates: Quickly update an AI agent’s knowledge with new information, such as company policies or product details.
  • Training Simulations: Create realistic training scenarios where the AI agent learns from user interactions and adapts its behavior accordingly.
  • Dynamic Content Creation: Have the agent generate content that evolves based on ongoing feedback and data inputs.

Key capabilities

  • Knowledge retention across conversations
  • Incorporation of user feedback
  • Integration with external data sources
  • Adaptive response generation

Example prompts

  • "Remember I prefer my coffee black."
  • "Update the company's return policy to include this new clause: [new clause]."
  • "Based on this article, summarize the key findings for me: [article link]"

Tips & gotchas

The skill’s effectiveness relies on clear and structured input. Providing information in a well-organized format will improve the agent's ability to learn and retain it accurately.