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Quick

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notque
quick

Tracked lightweight execution with composable rigor flags: --trivial, --discuss, --research, --full. Covers zero-ceremony inline fixes (typo, spelling fix, small mistake in a single file, ≤3 edits) through contained multi-file changes.

Overview

Publishernotque
Repositoryvexjoy-agent
Skill namequick
Stars
443
Forks
50
Bundled files
1
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.

  • 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 notque on GitHub. Read the source before you install it.

Installation

Install the Quick 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/notque/vexjoy-agent/tree/main/skills/process/quick
  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/notque/vexjoy-agent.git /tmp/vexjoy-agent
mkdir -p .claude/skills
cp -r /tmp/vexjoy-agent/skills/process/quick .claude/skills/quick
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Quick 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 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 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

Make contained changes in one execution thread. Use /do for multiple components, architectural changes, or parallel work. Keep plans inline; do not create task_plan.md.

Flags

All flags default off. Combine discussion, research, and verification as needed.

FlagEffect
--trivialMechanical fix: at most 3 edits across at most 3 files; no displayed plan, task ID, or subagents.
--discussResolve independent ambiguities together before planning.
--interviewResolve dependent decisions one question at a time, with a recommendation.
--researchInvestigate unfamiliar code before planning.
--fullVerify the plan, then run affected tests, configured lint, and diff review.
--no-branchStay on the current branch if repository branch rules permit it.
--no-commitLeave edits uncommitted, including in trivial mode.

Deep References

WhenLoadContent
Emitting banners, commit format, STATE.md entriesreferences/templates.mdOutput and tracking contracts

Setup

Read repository CLAUDE.md unless already loaded and current. Parse flags; the remaining text is the task. Follow existing authorization and repository constraints throughout.

Check the branch during setup. Never let --trivial or --no-branch bypass branch safety. For trivial work on main/master, create quick/<brief-description>; for standard work, create quick/<task-id>-<brief-kebab-description> after assigning the ID in step 2 and before editing, unless --no-branch is allowed. Preserve unrelated changes.

Trivial mode

Use for --trivial or a clearly mechanical one-line change identified by the router.

  1. Read the targets and check scope. Investigation or unfamiliar behavior requires /quick --research; more than 3 files, new package imports, or dependency-file changes require standard /quick. For ambiguity, ask one clarifying question; if unresolved, use /quick --discuss.
  2. Edit directly and count edits. If more than 3 are needed, preserve completed work and continue standard /quick. Explain the scope change and carry forward the original request and completed edits.
  3. Review the diff and run applicable repository checks. Stage only intended files with git add <specific-files> and commit using references/templates.md, unless --no-commit applies.
  4. Emit the trivial summary and stop. Report an omitted commit as skipped, never as successful.

Standard procedure

1. Resolve decisions and investigate

Use discussion for --discuss or material uncertainty about the requested change, approach, or acceptance criteria. Batch independent questions using the DISCUSS template. Wait for answers needed to proceed; do not ask again about decisions or actions already authorized.

For --research or unfamiliar code, read relevant source, tests, and configuration. Establish current behavior, where the change fits, and what could break. Summarize findings and their effect on the plan in 3–5 lines.

2. Plan and assign an ID

Use YYMMDD-xxx, with a Base36 sequence: 001 through 009, 00a through 00z, then 010.

bash
date_prefix=$(date +%y%m%d)

Increment today's highest sequence in root STATE.md, starting at 001 if absent. If corrupted, recover the sequence from git log entries matching Quick task YYMMDD-. Increment again on branch-name collision.

Display the inline plan from references/templates.md: intended edits, files, rationale, and estimated edit count. Create the branch under the setup rules. With --full, verify that the plan meets acceptance criteria before editing. Recommend --full for security, payments, or data migration.

3. Execute and watch scope

Make the planned edits and track their count. Above 15 estimated edits, suggest /do. Warn at 10 actual edits and reassess at 15. These standard-mode thresholds are advisory; continue within established authorization when the work remains contained. Ask only when a scope decision is unresolved. Trivial mode's 3-edit limit remains strict.

For base verification, run an appropriate syntax/build check, such as python3 -m py_compile <files>, go build ./..., or tsc --noEmit, plus required repository checks.

With --full, run tests for affected packages/modules, configured lint on changed files, and git diff review for unintended changes, missing error handling, and broken imports. Run the full suite when required by the repository or requested by the user. Fix relevant failures before claiming completion; report unrelated blockers accurately.

4. Commit and log

Unless --no-commit, stage specific intended files with git add <specific-files>, use the conventional commit format from references/templates.md, and include Quick task <task-id> in the body. Verify with git log -1 --oneline.

Create or append to root STATE.md using the reference schema. Use tier trivial->quick after escalation; otherwise quick. Record skipped commits explicitly. Emit the completion summary with changes, checks, commit or skipped status, branch, flags, and log location. Continue any already-authorized delivery steps.

Examples

Base mode: /quick add --verbose flag to the CLI -- Generate ID 260322-001, plan 3 edits (flag definition, handler, help text), create branch quick/260322-001-add-verbose-flag, execute, commit, log.

With research: /quick --research fix the timeout bug in auth middleware -- Read auth middleware first, trace call path, then plan and execute.

Escalated from trivial: --trivial hit 3-edit limit across 5 files. Quick picks up with context, plans remaining edits, commits all changes, logs as tier trivial->quick.

Full rigor: /quick --full update payment amount rounding logic -- Plan edit, execute, run tests + lint + diff review, commit.

Error Handling

ErrorCauseFix
Task ID collisionTwo tasks with same sequenceIncrement sequence. If STATE.md corrupted, scan git log for Quick task YYMMDD- to find next ID.
Scope exceeds quick tierTask grows beyond contained workSuggest /do for multi-component or architectural changes. >15 edits is advisory.
Test failure in --full modeQuality gate found issuesFix failing tests. If fix needs significant work, note in STATE.md and suggest follow-up /quick.
Branch conflictBranch quick/<id>-... existsIncrement task ID sequence and retry.

Bundled files

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

Frequently asked questions

What does the Quick AI skill do?

Tracked lightweight execution with composable rigor flags: --trivial, --discuss, --research, --full. Covers zero-ceremony inline fixes (typo, spelling fix, small mistake in a single file, ≤3 edits) through contained multi-file changes.

Why use Quick on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/notque/vexjoy-agent/tree/main/skills/process/quick. 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 Quick?

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?

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

Is the Quick AI skill free?

Yes. It is published on GitHub by notque 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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