Debug Memory

Community

jmagly

debug-memory

Query and manage the executable feedback debug memory

Overview

Publisher	jmagly
Repository	`aiwg`
Skill name	`debug-memory`
Stars	225
Forks	34
Bundled files	Instructions only
License	MIT
Links	Skill source Repository Homepage

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
Self-contained
Everything the model needs lives in the instructions — no extra files to sync.
Open source
Published by jmagly on GitHub. Read the source before you install it.

Installation

Install the Debug Memory AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/jmagly/aiwg/tree/main/agentic/code/addons/agent-loop/skills/debug-memory
Enable the skill in any chat where you want it available.

Store

Installed

Skills

Add skills

Import one or more skills from a public GitHub folder or a local .skill or .zip archive, or SKILL.md file.

From GitHub URLFrom .skill, .zip, or SKILL.md

GitHub repo or folder

https://github.com/jmagly/aiwg/tree/main/agentic/code/addons/agent-loop/skills/debug-memory

Points to a single skill folder, or any folder that contains multiple skills. Public repos only.

CancelContinue

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/jmagly/aiwg.git /tmp/aiwg
mkdir -p .claude/skills
cp -r /tmp/aiwg/agentic/code/addons/agent-loop/skills/debug-memory .claude/skills/debug-memory

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Debug Memory in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Debug Memory on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Debug Memory is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Debug Memory Command

Query, analyze, and manage the debug memory from executable feedback loops.

Instructions

Manage the debug memory stored in .aiwg/ralph/debug-memory/:

Subcommand: query

Search debug memory for relevant past execution sessions.

Search .aiwg/ralph/debug-memory/sessions/ for matching entries
Match by file path, error type, test name, or keyword
Display relevant sessions with fix attempts and outcomes
Highlight reusable patterns

Subcommand: patterns

Display learned patterns from past debug sessions.

Load .aiwg/ralph/debug-memory/patterns/learned-patterns.yaml
Show pattern frequency, success rate, and applicability
Suggest patterns applicable to current context

Subcommand: stats

Show aggregate statistics from debug memory.

Total sessions, pass rate, average attempts
Most common error types
Most effective fix patterns
Files with highest failure frequency

Subcommand: clear

Clear debug memory (with confirmation).

Prompt for confirmation
Archive current memory to .aiwg/ralph/debug-memory/archive/
Reset sessions and patterns

Arguments

query [keyword] - Search debug memory
patterns - Show learned patterns
stats - Show aggregate statistics
clear - Clear and archive debug memory
--file [path] - Filter by source file
--error [type] - Filter by error type
--since [date] - Filter by date

References

@$AIWG_ROOT/agentic/code/addons/agent-loop/schemas/debug-memory.yaml - Debug memory schema
@$AIWG_ROOT/agentic/code/frameworks/sdlc-complete/rules/executable-feedback.md - Executable feedback rules
@$AIWG_ROOT/agentic/code/addons/agent-loop/docs/executable-feedback-guide.md - Guide

Frequently asked questions

What does the Debug Memory AI skill do?

Query and manage the executable feedback debug memory

Why use Debug Memory on TypingMind?

Because you install it once and use it with any model. Debug Memory is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Debug Memory in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/jmagly/aiwg/tree/main/agentic/code/addons/agent-loop/skills/debug-memory. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Debug Memory?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Debug Memory?

As many as you like. As long as a model supports skills, you can use Debug Memory with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Debug Memory AI skill free?

Yes. It is published on GitHub by jmagly under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

View all

Claw Score

openclaw

OrganizationPopular

Audit or refresh OpenClaw maturity scorecard docs from root taxonomy, maturity scores, and QA evidence artifacts without using maintainer discrawl data or committed inventory reports.

Clawsweeper

Use for all ClawSweeper work: OpenClaw issue/PR sweep reports, repair jobs, cloud fix PRs, @clawsweeper maintainer mention commands, trusted ClawSweeper-reviewed autofix/automerge, GitHub Actions…

Control Ui E2e

Use when designing, testing, fixing, or extending the OpenClaw Control UI GUI, including UI stress-test galleries with feedback inputs, Vitest + Playwright end-to-end checks, mocked Gateway flows,…

Deslop

Diff-scoped AI-slop cleanup pass: strip comment slop, defensive-check slop, type-laundering, and style drift from the current branch diff before autoreview.

Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Debug Memory Command

Instructions

Subcommand: query

Subcommand: patterns

Subcommand: stats

Subcommand: clear

Arguments

References

Frequently asked questions

Related AI Skills

Set up your own AI workspace now