quick
Skill20 starsChanged 3 months agoMITView on GitHub
Use when the user types /vibekit:quick: writes the change immediately under lazy's ladder, no spec, no plan, no subagents. Reports what it skipped.
18 other projects use a version of this.
Adopted by
Most recently taken up by
- fab-codes/agent-workflow-templatetheir own version, first seen Nov 8, 2026
- AlleyBo55/no-overthinktheir own version, first seen Nov 8, 2026
- edwinidrus/dragonhoardtheir own version, first seen Nov 8, 2026
- notque/vexjoy-agenttheir own version, first seen Nov 7, 2026
- buildomator/buildomatortheir own version, first seen Nov 4, 2026
- joetawil7/first-passtheir own version, first seen Nov 1, 2026
Used with
Projects with it also use plant-seed, discuss and 6 more.
Other files people use alongside this one.
Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
notqueSkillplant-seed
Capture forward-looking idea as a seed for future feature design.
Also in 3 projects that use this
markmdevSkilldiscuss
Discuss a problem with other AI agents before implementing. Spawns one or more autonomous claude -p conversations with different perspectives (architect, critic, domain expert), runs multi-round discussions, and synthesizes findings. Use when facing design decisions, architecture tradeoffs, knowledge organization questions, or any problem that benefits from multiple viewpoints before committing to an approach. Also use proactively when you're uncertain about a direction.
Also in 4 projects that use this
VercelSkillnext
Next.js renderer for json-render that turns JSON specs into full Next.js applications with routes, layouts, SSR, and metadata. Use when working with @json-render/next, building Next.js apps from JSON specs, or creating AI-generated multi-page applications.
Also in 3 projects that use this
SentrySkillreview
Fixture review skill.
Also in 6 projects that use this
NVIDIASkillresearch
Before designing a feature, research how comparable libraries solve the problem, check best practices, known pitfalls, and upstream changes. Use when starting a new feature, investigating an unfamiliar area, or the user asks to research something.
Also in 4 projects that use this
AWSSkillship
Finalize dev work on an issue branch — update docs, push, and open a PR.
Also in 3 projects that use this
Other versions18 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 18
- notque/claude-code-toolkit★ 448same name
- notque/vexjoy-agent★ 448same name
- govctl-org/govctl★ 276same name
- joetawil7/first-pass★ 128same name
- buildomator/buildomator★ 102same name
- jamillazarev/multica-ops★ 11same name
- codebycorey/delta-spec★ 4same name
- Yafan-Yang/ai-trading★ 4same name
- AlleyBo55/no-overthink★ 3same name
- beeltec/skills★ 2same name
8 more not listed
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
The file
We split this skill into the rules it gives an agent
1 rule. 0 are common, 1 is distinctive, and 0 are very specific to this project.
0
Common
Most of the 15 edited versions we read keep these.
1
Distinctive
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 21
Check before writing. Each of these is a fact about the change, not a judgement about its size:
“Common” is measured: kept by at least 6 in 10 of the 15 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
quick
The fast path. One intent in, the change written now.
The waiver
brainstorm, plan, exec and verify do not apply here. No spec doc, no plan doc, no subagent dispatch, no verification report. That is the whole point of typing this instead of /vibekit:vibe.
Invoke lazy and write under its ladder. Do not restate its rungs: one copy of the ladder exists, and it lives in lazy.
Bail out first
Check before writing. Each of these is a fact about the change, not a judgement about its size:
- It needs a dependency that is not already installed.
- It touches a schema, a migration, or the shape of stored data.
- It touches auth, payments, permissions, or any other trust boundary.
- It spans more files than you can hold in one reading.
- The intent reads two ways.
Any one of them: stop, name the criterion that tripped, and say the request wants brainstorm. Do not start a spec yourself, and do not negotiate: the user asked for speed, and the honest answer is that this is not the path for it.
None of them: write the change now.
The floor still holds
Nothing runs behind you, so lazy's never-simplify-away list is not optional here: validation at trust boundaries, error handling that prevents data loss, security, accessibility, and anything the user explicitly asked for.
Non-trivial logic leaves one runnable check, and you run it. verify is not coming. A change you did not execute is a change you are guessing about, and "evidence or it did not happen" is not waived by speed.
debug is not waived
A failed check routes to debug exactly as it always does. quick skips the gates before implementation. It does not skip the one after a failure.
Say what you skipped
Close with one line naming the skipped stages and the check you ran, so a fast path never reads like a verified one:
Skipped: brainstorm, plan, exec, verify. Ran: <the check, and its result>.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

