Recover logo

Recover

Organization
jsmastery-pro
recover

When something goes wrong during a build, diagnose what type of failure it is before deciding how to respond. Targeted fix, hard reset, or full rethink — the right response depends on the right diagnosis.

Overview

Publisherjsmastery-pro
Repositoryjsm-agent-skill
Skill namerecover
Stars
230
Forks
38
Bundled files
Instructions only
LicenseMIT
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 jsmastery-pro on GitHub. Read the source before you install it.

Installation

Install the Recover 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.
    https://github.com/jsmastery-pro/jsm-agent-skill/tree/main/skills/recover
  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/jsmastery-pro/jsm-agent-skill.git /tmp/jsm-agent-skill
mkdir -p .claude/skills
cp -r /tmp/jsm-agent-skill/skills/recover .claude/skills/recover
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Recover 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 Recover 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 Recover 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.

Not every problem is a bug. Not every bug needs debugging.

When something goes wrong with AI-assisted development, the instinct is to keep prompting — describe the problem, ask for a fix, get another broken version, describe that problem, ask for another fix. The session gets longer. The context gets polluted. The code gets worse.

The problem is not the code. The problem is not knowing what type of failure you are dealing with.

This skill diagnoses the failure first. Then it prescribes the right response. Those are two separate steps and they cannot be swapped.


Step 1 — Describe What Went Wrong

The developer describes the problem. The skill listens before doing anything else.

Ask:

Describe what is wrong. Be specific:
- What did you expect to happen?
- What happened instead?
- How many times have you tried to fix it already?

Read the answer carefully. The number of fix attempts is important — it tells you whether this is a fresh problem or a session that has already gone wrong.


Step 2 — Identify the Failure Mode

Based on the description, determine which of three failure modes this is.

Failure Mode 1 — A specific thing is broken

Signs:

  • The problem is isolated — one component, one function, one route
  • The rest of the project works correctly
  • This is the first or second attempt at fixing it
  • The error message or wrong behaviour is clear and specific

What it means: This is a normal bug. It has a root cause that can be found and fixed precisely.

Response: Targeted fix — go to Step 3A.


Failure Mode 2 — The session has gone wrong

Signs:

  • Multiple fix attempts have made things worse or created new problems
  • The code has become tangled — fixes are patching fixes
  • Context in this session is full of failed attempts
  • It is no longer clear what the original problem was

What it means: The session is polluted. More prompting will not help — it will compound the damage. The feature needs to be rebuilt in a clean context, not patched further.

Response: Hard reset — go to Step 3B.


Failure Mode 3 — The foundation is wrong

Signs:

  • The code runs but produces fundamentally wrong behaviour
  • Claude has been confidently building something that misunderstands a core requirement, library API, or architectural pattern
  • The problem is not a bug in the implementation — the implementation itself is wrong
  • Fixing individual pieces will not help because the approach is incorrect

What it means: This is not a debugging problem. The approach needs to be reconsidered before any code is written. More implementation in the wrong direction makes things harder to untangle.

Response: Rethink — go to Step 3C.


Tell the developer which failure mode this is before proceeding:

This looks like Failure Mode [1/2/3] — [name].

[One sentence explaining why you identified it this way.]

Here is how we handle this:

Step 3A — Targeted Fix

For Failure Mode 1.

Diagnose before touching code

Ask the developer to share:

  • The exact error message or wrong behaviour
  • The specific file or function where it happens
  • What the code is supposed to do versus what it actually does

Read the relevant code. Do not read the entire codebase — only what is directly relevant to the problem.

Find the root cause

Identify the root cause before suggesting any fix. A root cause is the actual reason the problem exists — not a symptom of it.

State the root cause clearly:

Root cause: [specific explanation of why this is happening]

This is different from the symptom because: [explanation]

Suggest a precise fix

Describe the fix that addresses the root cause. Not a workaround. Not a patch on top of broken code.

Fix: [what needs to change and why]

This will resolve the root cause because: [explanation]

Wait for the developer to confirm before making any changes.

If the fix does not work

If the suggested fix does not resolve the problem — stop. Do not suggest another fix immediately.

Re-examine the root cause diagnosis. If the fix did not work, the root cause was probably wrong. Diagnose again from the beginning before trying again.

If two root cause diagnoses have both been wrong — this may actually be Failure Mode 2 or 3. Re-evaluate.


Step 3B — Hard Reset

For Failure Mode 2.

Acknowledge the situation honestly

This session has gone too far in the wrong direction
to recover by patching. The right move is a clean start.

This is not a failure — it is the correct response
to a polluted context. A fresh session with clear intent
will be faster than continuing here.

Save what is worth keeping

Before the session ends, extract anything valuable from the current state:

  • What was the original feature supposed to do?
  • What parts of the current implementation, if any, are actually correct?
  • What has been learned about what does not work?
  • What should the next session avoid?

Write this as a brief reset note:

## Reset Note — [Feature Name]

### What we were building
[Original feature description]

### What went wrong
[Honest summary of how the session went off track]

### What to avoid next time
[Specific approaches or patterns that did not work]

### Starting point for next session
[Where to begin fresh — what to keep, what to discard]

Instruct the developer

Next steps:

1. Save this reset note somewhere accessible
2. End this session completely
3. Start a fresh session
4. Begin with /remember restore if memory exists
5. Approach [feature name] again with the reset note as context

Do not continue in this session.

Step 3C — Rethink

For Failure Mode 3.

Name the wrong assumption

The foundation being wrong means something was assumed that should not have been. Find it.

The core issue is not a bug — it is a wrong assumption:

Assumed: [what was assumed]
Reality: [what is actually true]

This means the current implementation cannot be fixed
by patching. The approach needs to change.

Propose the correct approach

Based on the correct understanding, describe what the approach should have been:

Correct approach: [description]

Key difference from current approach: [explanation]

What needs to be discarded: [what cannot be salvaged]
What can be kept: [what is still valid]

Do not start rebuilding immediately

A rethink needs the developer to understand and agree before any code changes. Present the analysis and wait for confirmation.

Does this diagnosis match your understanding?

If yes — we can start fresh with the correct approach.
If no — tell me what I am getting wrong.

Only after the developer confirms does any rebuilding begin.


The Principle

The worst thing you can do when something is broken is keep doing the same thing faster.

Diagnose first. Respond correctly. Different failures need different responses — and knowing which failure you are dealing with is more than half the solution.

Frequently asked questions

What does the Recover AI skill do?

When something goes wrong during a build, diagnose what type of failure it is before deciding how to respond. Targeted fix, hard reset, or full rethink — the right response depends on the right diagnosis.

Why use Recover on TypingMind?

Because you install it once and use it with any model. Recover 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 Recover in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/jsmastery-pro/jsm-agent-skill/tree/main/skills/recover. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Recover?

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 Recover?

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

Is the Recover AI skill free?

Yes. It is published on GitHub by jsmastery-pro 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.

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