Quick Fix

Community

danielvm-git

quick-fix

Streamlined fast-path for trivial data-only fixes — no TDD, no branching ceremony. Collapses 6 skills into 2 for changes that are purely data with no logic risk. Aborts with fallback to investigate-bug if guardrails trigger.

Overview

Publisher	danielvm-git
Repository	`bigpowers`
Skill name	`quick-fix`
Stars	206
Forks	18
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 danielvm-git on GitHub. Read the source before you install it.

Installation

Install the Quick Fix 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/danielvm-git/bigpowers.git /tmp/bigpowers
mkdir -p .claude/skills
cp -r /tmp/bigpowers/skills/quick-fix .claude/skills/quick-fix

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

Use it in TypingMind

Enable Quick Fix 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 Quick Fix 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 Quick Fix 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.

Quick Fix

HARD GATE — ALL entry criteria must pass before invoking quick-fix. If any guardrail triggers during execution, abort immediately and fall back to investigate-bug. Do NOT use quick-fix for logic changes, multi-file edits, or diffs > 5 lines.

Fast-track for trivial data-only fixes that do not require the full bug-fix chain.

When a bug fix is purely data — an add-missing-key, a typo correction, a config value update — the standard 6-skill chain (investigate-bug → diagnose-root → develop-tdd → kickoff-branch → verify-work → release-branch) is wasteful overhead. Quick-fix collapses it to 2 skills: quick-fix then release-branch.

Discovered gate failures (e51s04)

A Preflight, golden suite, or baseline red failure discovered during unrelated work is valid quick-fix entry when the root cause is a data-only gap (missing key, typo, stale config) — no user-reported bug required. If guardrails abort (logic change, >1 file, >5 lines), fall back to fix-bug instead of narrating and continuing.

Entry Criteria (ALL must be true)

Before invoking quick-fix, evaluate every item in this checklist:

Purely data change — adding a missing key, fixing a typo, updating a config value, correcting a constant
No logic change — no function signature, condition, loop, or control flow is modified
No refactor risk — the change does not reorganize or rename existing structures
No API surface change — no exported symbol, interface, or contract changes
Verifiable with a single assertion — one test, one curl, one grep can prove it works
Affects ≤ 1 file
Affects ≤ 5 lines changed

Guardrails (HARD ABORT — all must pass)

If ANY guardrail triggers, abort immediately and suggest investigate-bug instead:

Guardrail	Check
>1 file	The fix touches more than one file
>5 lines	The diff exceeds 5 lines
Logic change	Any function signature, condition, or loop is modified
Complex verify	The verify command is more than one pipeline
Test breakage	Running `npm test` or equivalent breaks any existing test

Fallback: If any guardrail triggers, tell the user: "This fix exceeds quick-fix guardrails. Use investigate-bug for the full TDD bug-fix chain instead."

Fast-Path Workflow

Only 2 skills needed for eligible fixes:


quick-fix  →  apply change, run one-line verify, commit with fix:
release-branch  →  merge and ship (existing skill)

Skipped skills (with justification):

Skipped skill	Why skipped
`investigate-bug`	Root cause is obvious (data gap, not logic error)
`diagnose-root`	No isolation needed — the data point is the root cause
`develop-tdd`	No logic to test — single assertion proves correctness
`kickoff-branch`	Change is so small it does not warrant a separate worktree

Justification is included in the fix: commit body so the audit trail is preserved.

Process

1. Evaluate entry criteria

Run the entry criteria checklist above. If any criterion fails → abort, suggest investigate-bug.

2. Apply the fix

Make the data change — add the missing key, fix the typo, update the value. Keep it to ≤5 lines in 1 file.

3. Verify

Run the single-assertion verify command. Example:

bash
grep -q "Bosnia" src/flags.js && echo "FIX VERIFIED" || echo "FIX FAILED"

4. Commit

bash
git add <file>
git commit -m "fix(<scope>): <description>"
git commit --amend -m "fix(<scope>): <description>

Skipped skills (justified for data-only change):
- investigate-bug: root cause is a data gap, not a logic error
- diagnose-root: the missing data point is the root cause
- develop-tdd: single assertion proves correctness
- kickoff-branch: change is too small for a separate worktree"

5. Release

Invoke release-branch to merge and ship.

Example

Bosnia flag missing from FLAGS dictionary

gherkin
Given a bug where FLAGS dictionary is missing entry "Bosnia"
And no logic depends on the missing entry (purely a data gap)
When the agent invokes quick-fix
Then the missing entry is added to the dictionary
And a one-line verify confirms the key exists: grep -q "Bosnia" src/flags.js
And a fix: commit is created with the skipped-skills rationale in the body
And the change is ready for release-branch

Frequently asked questions

What does the Quick Fix AI skill do?

Why use Quick Fix on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/danielvm-git/bigpowers/tree/main/skills/quick-fix. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Quick Fix?

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 Quick Fix?

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

Is the Quick Fix AI skill free?

Yes. It is published on GitHub by danielvm-git 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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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Quick Fix

Discovered gate failures (e51s04)

Entry Criteria (ALL must be true)

Guardrails (HARD ABORT — all must pass)

Fast-Path Workflow

Process

1. Evaluate entry criteria

2. Apply the fix

3. Verify

4. Commit

5. Release

Example

Bosnia flag missing from FLAGS dictionary

Frequently asked questions

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