learn-pattern
Skill2 starsChanged 19 days agoApache-2.0View on GitHub
Save a new error pattern to memory for future recognition. When you discover a new error pattern and its fix, use this to remember it. Saved to patterns.yaml, matched during investigate_alert and debug_prod.
In this repository124 other files it gives its agents.
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- The first 60 shown.
The file
We split this skill into the rules it gives an agent
3 rules. About 0 are common, 3 are distinctive, and 0 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈3
Distinctive · estimate
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 33
If commands provided: check tool names exist in MCP registry
- Distinctive: line 41
If pattern exists in category: update.
- Distinctive: line 42
Write back with last_updated
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Learn Pattern
Saves error patterns to memory for future debugging sessions.
Inputs
| Input | Type | Default | Purpose |
pattern | string | required | Short name (e.g., "OOMKilled", "ImagePullBackOff") |
meaning | string | required | What the error means |
fix | string | required | How to fix it |
commands | string | - | Comma-separated diagnosis commands |
category | string | "general" | pod_errors, log_patterns, network, general |
Workflow
1. Validate Inputs
- pattern, meaning, fix required
- Return error if any missing
2. Parse Commands
- Split by comma, strip whitespace
3. Optional: Validate Tool Names
- If commands provided: check tool names exist in MCP registry
- Warn if CLI commands (kubectl, oc) — suggest MCP tools
4. Save Pattern
- Read
memory/learned/patterns.yaml - Ensure category exists
- Build entry: pattern, meaning, fix, commands (if any)
- If pattern exists in category: update; else append
- Write back with last_updated
5. Log (if success)
memory_session_log("Learned pattern: {pattern}", "Category: {category}, Action: added|updated")
6. Output
- Success: "Pattern added/updated", details, "Will be matched during investigate_alert and debug_prod"
- Failure: validation error or save error
Key MCP Tools
memory_read— read patterns (or file read)memory_write/ file write — save tomemory/learned/patterns.yamlmemory_session_log— session logging- Alternative:
learn_tool_fixfor tool-specific fixes (different from general patterns)
Note
For tool-specific fixes (e.g., bonfire_deploy + "manifest unknown"), use learn_tool_fix instead. This skill is for general error patterns used across skills.
Does it work?
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People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
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- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

