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Hive.Error Recovery

OrganizationPopular
aden-hive
hive.error-recovery

Follow a structured recovery decision tree when tool calls fail instead of blindly retrying or giving up.

Overview

Publisheraden-hive
Repositoryhive
Skill namehive.error-recovery
Stars
11.1K
Forks
5.7K
Bundled files
Instructions only
LicenseApache-2.0
Links
  • 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 aden-hive on GitHub. Read the source before you install it.

Installation

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

1

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.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. 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.
2

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/aden-hive/hive.git /tmp/hive
mkdir -p .claude/skills
cp -r /tmp/hive/core/framework/skills/_default_skills/error-recovery .claude/skills/hive.error-recovery
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Hive.Error Recovery 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 Hive.Error Recovery 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 Hive.Error Recovery 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.

Operational Protocol: Error Recovery

When a tool call fails:

  1. Diagnose — classify the failure as transient (network blip, rate limit, timeout) or structural (wrong selector, missing auth, invalid schema, permission denied).

  2. Decide:

    • Transient → retry once.
    • Structural + fixable → fix the input and retry.
    • Structural + unfixable → record the failure and move to the next item.
    • Blocking all progress → escalate.
  3. Adapt — if the same tool has failed {{max_retries_per_tool}}+ times in a row, stop using it and find an alternative approach.

Never silently drop a failed item. If the item is a task in the colony queue, write the failure to the DB instead of an in-memory buffer:

bash
sqlite3 "$DB_PATH" "UPDATE tasks SET status='failed', last_error='<one-sentence reason>', completed_at=datetime('now'), updated_at=datetime('now') WHERE id='<task-id>' AND worker_id='<your-worker-id>';"

The tasks.retry_count column and the stale-claim reclaimer handle auto-retry for crashes; your job is the within-run decision tree above. See hive.colony-progress-tracker for the full queue protocol.

Frequently asked questions

What does the Hive.Error Recovery AI skill do?

Follow a structured recovery decision tree when tool calls fail instead of blindly retrying or giving up.

Why use Hive.Error Recovery on TypingMind?

Because you install it once and use it with any model. Hive.Error Recovery 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 Hive.Error Recovery in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/aden-hive/hive/tree/main/core/framework/skills/_default_skills/error-recovery. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Hive.Error Recovery?

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 Hive.Error Recovery?

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

Is the Hive.Error Recovery AI skill free?

Yes. It is published on GitHub by aden-hive under the Apache-2.0 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.

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