Setup & Installation
openclaw skills install @vedantsingh60/adaptive-learning-agents
Or with the ClawHub CLI, for registry-managed skill folders outside a full OpenClaw workspace:
npx clawhub install adaptive-learning-agents
What This Skill Does
A Python library that records errors, corrections, and successful patterns locally, then retrieves relevant entries before tackling similar problems. All data stays on disk with no external dependencies, API keys, or network calls required.
Because it requires zero dependencies and no external accounts, it works immediately in any Python environment without setup friction.
When to use it
- Logging a bug fix so it surfaces the next time the same error appears
- Tracking which prompt formats produce reliable outputs for a given task
- Documenting API quirks and workarounds discovered during integration work
- Exporting accumulated knowledge as JSON to share across a team or project
- Reviewing unresolved errors before starting a complex or high-stakes task
Example Workflow
Here's how your AI assistant might use this skill in practice.
INPUT
User asks: Record that the Anthropic API rejects prompts with excessive newlines and note the fix
AGENT
- 1Call record_error with the error_description, context, and solution fields populated
- 2Store the entry locally in the .adaptive_learning/ directory
- 3Later, call search_learnings('newlines') to retrieve the stored entry
- 4Return the matching learning with the solution and any prevention tip
OUTPUT
The stored error entry is returned with the solution: use strip() to clean whitespace before sending prompts to the API