avoid-feature-creep
Skill404 starsChanged 45 days agoApache-2.0View on GitHub
Keeps a change scoped to what was asked. Flags extra features, refactors, and 'while we are here' edits, and moves them to a suggestions list instead of the diff. Use when a request is small and the agent is about to expand it, when a PRD grows beyond its problem statement, or when the user says 'just do what I asked'.
6 other projects use a version of this.
Adopted by
Most recently taken up by
- anis-dr/skillstheir own version, first seen Oct 15, 2026
- waynesutton/convexskillsword for word, first seen Sep 28, 2026
- franckdjiongo/claude-skillstheir own version, first seen Jul 6, 2026
- powroom/flinstheir own version, first seen Jan 22, 2026
- charlietlamb/ferixtheir own version, first seen Jan 18, 2026
- StillScripts/cursor-agents-managertheir own version, first seen Jan 17, 2026
Other versions6 projects use a version of this.
Word for word · 1
- waynesutton/convexskills★ 405100% same
Edited · 0
None found.
Wrote their own version · 5
- powroom/flins★ 39same name
- charlietlamb/ferix★ 10same name
- anis-dr/skills★ 3same name
- StillScripts/cursor-agents-manager★ 1same name
- franckdjiongo/claude-skills★ 0same name
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.
In this repository19 other files it gives its agents.
- AGENTS.mdAGENTS.md
- templates/AGENTS.mdAGENTS.md
- CLAUDE.mdCLAUDE.md
- convex-agentsSkill
- convex-best-practicesSkill
- convex-component-authoringSkill
- convex-cron-jobsSkill
- convex-file-storageSkill
- convex-functionsSkill
- convex-http-actionsSkill
- convex-migrationsSkill
- convex-realtimeSkill
- convex-schema-validatorSkill
- convex-security-auditSkill
- convex-security-checkSkill
- convexSkill
- git-safetySkill
- project-docsSkill
- project-workflowSkill
The file
We split this skill into the rules it gives an agent
8 rules. 0 are common, 8 are distinctive, and 0 are very specific to this project.
0
Common
Most of the 5 edited versions we read keep these.
8
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 18
Stop when you notice any of these:
- Distinctive: line 37
Put them in one place at the end:
- Distinctive: line 56
If you are the agent, catch yourself doing this and move it to the suggestions list.
- Distinctive: line 58
Before adding anything, ask:
- Distinctive: line 64
If the first answer is no, it goes in suggestions.
- Distinctive: line 70
Before, the creeping version:
- Distinctive: line 80
After, the scoped version:
- Distinctive: line 105
If the cut items form a coherent feature, that is a second PRD, not a bigger first one.
“Common” is measured: kept by at least 6 in 10 of the 5 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
Avoid feature creep
The request sets the scope. Everything the diff contains should trace back to a sentence in the ask. Anything else is a suggestion, not a change.
The core rule
Build what was asked. Not what would be nice, not what a senior engineer would also do, not what the codebase "should" have. If a line of the diff cannot be justified by the request, it does not belong in the diff.
This applies to product scope and to code scope. A PRD that grows past its problem statement has the same disease as a bug fix that ships with a refactor.
Signals that creep is starting
Stop when you notice any of these:
- "While we're here" or "might as well" appears in your reasoning
- Adding a config option, flag, or parameter for a case nobody asked about
- Refactoring code adjacent to the change because it looked untidy
- Adding a second feature to make the first one feel complete
- Adding error handling for edge cases the user has never hit
- Adding tests, types, or docs for code outside the change
- Generalizing a one off into a reusable abstraction
- Copying a competitor feature without a stated user need
- A PRD section titled "Future" or "Nice to have" that keeps getting longer
- The change touches a file the request never implied
Each of these might be a good idea. None of them are in scope unless the user says so.
What to do instead
- Finish the ask. Ship the smallest change that fully answers the request.
- Collect the extras as you go. Do not act on them.
- Put them in one place at the end:
- In a chat or PR summary, under a
Suggestionsheading, one line each - In a PRD, under
Out of scopewith a one line reason - In a repo with a
prds/folder, append to the relevant PRD'sOut of scopesection
- In a chat or PR summary, under a
- Let the user pick. "The agent thought so" is not approval.
Suggestions are cheap to write and free to ignore. Unrequested code costs review time, adds bugs, and blurs what the change was for.
Stakeholders, including agents
Every feature request has a source: a PM, an exec, a user, a developer scratching an itch, or an AI coding agent. Treat them all the same way. Log the request, weigh it against the current scope, and defer it unless it solves the problem the work was started for.
AI agents are stakeholders now. They have opinions and they push. Common agent driven creep:
- "Let me also add error handling for edge cases you haven't hit yet"
- "This would be cleaner with a refactor"
- "You should probably add tests for this"
- "I added types for these additional scenarios"
If you are the agent, catch yourself doing this and move it to the suggestions list. If you are working with an agent, state the scope at the start of the session and treat its extras like any other stakeholder ask.
Before adding anything, ask:
- Does this solve the problem the request named?
- What is the smallest version that works?
- What happens if we never build it?
If the first answer is no, it goes in suggestions.
Before and after
Request: "Add a deletedAt field to tasks and hide deleted tasks from the list query."
Before, the creeping version:
- Added
deletedAtto the schema - Added a
by_user_and_deletedindex - Rewrote
listto use the index - Added
softDelete,restore, andpurgeDeletedmutations - Added a cron to purge after 30 days
- Renamed
listtolistActiveand updated three call sites - Added a
showDeletedargument "for the admin view later"
After, the scoped version:
- Added
deletedAt: v.optional(v.number())to the schema - Added the index and pointed
listat it so deleted rows never load
Summary sent with the change:
Done: deletedAt field and list query now skips deleted tasks.
Suggestions
- A softDelete mutation to set deletedAt (nothing sets it yet)
- A restore mutation
- A cron to purge rows older than 30 days
- An admin flag on list to include deleted rowsTwo lines of diff answered the request. Four lines of suggestions preserved every idea. The user decides what happens next.
PRDs
A PRD earns each section by pointing back to its problem statement. When a PRD grows:
- Reread the problem statement. Cut anything that does not serve it.
- Move cut items to
Out of scopewith one reason each. - If the cut items form a coherent feature, that is a second PRD, not a bigger first one.
Checklist
- Every changed file is implied by the request
- No new config options, flags, or parameters the request did not ask for
- No refactors of adjacent code
- No second feature added to round out the first
- No tests, types, or docs added for code outside the change
- Extras are listed under
Suggestionsin the summary orOut of scopein the PRD - The summary says what was done in one line before the suggestions
- If the user said "just do what I asked", the diff contains only that
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.

