Aeon Skill Repair

Q: Why use Aeon Skill Repair on TypingMind?

Because you install it once and use it with any model. Aeon Skill Repair 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.

Q: How do I install Aeon Skill Repair in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/BankrBot/skills/tree/main/aeon-skill-repair. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Q: Which AI models can use Aeon Skill Repair?

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.

Q: How many AI models can I use with Aeon Skill Repair?

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

Q: Is the Aeon Skill Repair AI skill free?

It is published on GitHub by BankrBot. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

Q: 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.

Q: 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.

OrganizationPopular

BankrBot

aeon-skill-repair

Auto-diagnose and fix a failing or degraded installed skill. Reads the SKILL.md plus recent error output, classifies the failure (api-change / rate-limit / timeout / sandbox-limitation / prompt-bug / output-format / missing-secret / config), applies the smallest fix that addresses the root cause, and attaches a verification recipe. Minimum-edit principle, never auto-applies high-risk changes. Triggers: "fix this skill", "skill X is broken", "diagnose this failure", "the output of X looks wrong".

Overview

Publisher	BankrBot
Repository	`skills`
Skill name	`aeon-skill-repair`
Stars	1.2K
Forks	622
Bundled files	1
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.
1 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by BankrBot on GitHub. Read the source before you install it.

Installation

Install the Aeon Skill Repair 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.
Enable the skill in any chat where you want it available.

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/BankrBot/skills.git /tmp/skills
mkdir -p .claude/skills
cp -r /tmp/skills/aeon-skill-repair .claude/skills/aeon-skill-repair

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

Use it in TypingMind

Enable Aeon Skill Repair 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 Aeon Skill Repair 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 Aeon Skill Repair 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.

aeon-skill-repair

Targeted repair for one failing skill. Build a diagnostic dossier, classify the failure, apply the matching playbook, attach a verification recipe.

Inputs

Param	Description
`target`	Skill name or SKILL.md path. Required.
`error_output`	Recent failed output (paste from run log). Required if not auto-detectable.
`mode`	`repair` (default) or `dry-run` (diagnose only).

Diagnosis sources

The skill file (frontmatter, declared sources, env-var references).
Error output signature (HTTP codes, common API errors, rate-limit hits, refusal markers).
Source liveness — WebFetch on referenced URLs to detect 404s, redirects, schema changes.
Frontmatter integrity (valid YAML).

Failure categories and fix scope

Category	Detection	Fix scope
`api-change`	404/410, schema mismatch	Update endpoints/payload/headers per live spec. Cite the spec URL.
`rate-limit`	429, "too many requests"	Add backoff or fallback endpoint. Never raise the limit.
`timeout`	Killed mid-run, partial output	Stage the work, add early-return on partial success.
`sandbox-limitation`	Auth-bearing curl fails	Convert to prefetch / postprocess pattern.
`prompt-bug`	Hallucination, refusal, missing required section	Minimum-edit specificity insertion. < 30 lines diff.
`output-format`	Output passes execution but fails downstream parser	Edit until next run satisfies the failing assertion.
`missing-secret`	"API key missing", env var unset	No code change. Name the missing var for the operator. Exit `REPAIR_DIAGNOSED_NO_FIX`.
`config`	Bad input config (watchlist, list file)	Fix obvious shape errors. Never invent entries.
`unknown`	None of the above	Don't edit blindly. Append dossier to repair-notes, exit `REPAIR_DIAGNOSED_NO_FIX`.

Risk classes

LOW — fallback added, comment-only, < 30 lines. Auto-applied.
MED — data source change, output format edit. Auto-applied with verification recipe.
HIGH — touches behavior fundamentally, changes defaults. Operator review required, not auto-applied.

Verification recipe (every repair)


1. Re-run the skill: <one-line invocation>
2. Expected: <category-specific signal — "no rate-limit in trace" / "≥ 200 words" / "matches pattern X">
3. If still failing: <fallback path>

Cooldown

24h cooldown per skill — prevents repair loops on fixes that didn't stick. State in local repair-history.json.

Rules

One target per run. Never bundle unrelated repairs.
Minimum-edit principle. Small diffs.
Never modify env-var configuration. Missing secrets are flagged for the operator.
Inside a git repo: branch + diff, never directly to main.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

catalog.json1 KB

Frequently asked questions

What does the Aeon Skill Repair AI skill do?

Why use Aeon Skill Repair on TypingMind?

Because you install it once and use it with any model. Aeon Skill Repair 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 Aeon Skill Repair in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/BankrBot/skills/tree/main/aeon-skill-repair. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Aeon Skill Repair?

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 Aeon Skill Repair?

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

Is the Aeon Skill Repair AI skill free?

It is published on GitHub by BankrBot. Check the repository for licensing terms. 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.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

aeon-skill-repair

Inputs

Diagnosis sources

Failure categories and fix scope

Risk classes

Verification recipe (every repair)

Cooldown

Rules

Bundled files

Frequently asked questions

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