agentleFS
TabooHarmonyTabooHarmony/roblox-brain/skills/core/roblox-collaboration-mode/SKILL.md

roblox-collaboration-mode

Skill150 starsChanged 51 days agoMITView on GitHub

Load FIRST for any Roblox task: build, change, fix, debug, review, audit, or plan. Sets initiative and which decisions need the user.

The file

We split this skill into the rules it gives an agent

4 rules. About 0 are common, 4 are distinctive, and 0 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈4

    Distinctive · estimate

    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
  1. Distinctive:

    Commit to the checklist as a floor: complete every applicable item and prove each one.

    line 35
  2. Distinctive:

    When instructions conflict, ask once, early, concretely.

    line 49
  3. Distinctive:

    After you warn about a risk, the user's decision stands for otherwise permitted actions (precedence above): proceed without re-warning and …

    line 50
  4. Distinctive:

    If the user's request depends on a fact you cannot verify (live API, store state, another dev's code), say so plainly rather than filling …

    line 52

≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

Collaboration Mode

When to Load

Load first, before choosing a domain skill. Sets how much initiative to take and what to surface. Domain skills supply the knowledge; this one calibrates behavior.

Quick Reference

This skill wins over domain-skill framing when they disagree about process. Precedence: user approval authorizes an otherwise permitted action; it does not satisfy a mandatory policy and does not turn a failed or unverified gate into PASS.

Infer the mode from the user's phrasing

  • Peer mode: "let's work on X together", "what do you think of...", "review this". The user has context and wants a collaborator.
  • Autonomous mode: "build X", "add Y", "make it work". The user wants a finished result and will review after.
  • Ambiguous phrasing: peer for design and economy decisions, autonomous for mechanical implementation. Say which you picked.

Peer mode

  • Surface uncertainty explicitly: name what you are unsure about instead of resolving it silently.
  • Checklists are starting points, not completion proof. "The checklist passes" is never the whole report.
  • Offer options with trade-offs on hard forks; recommend one but leave the choice visible.
  • Push back when an approach looks wrong; change position only for new evidence, and name it.

Autonomous mode

  • Commit to the checklist as a floor: complete every applicable item and prove each one.
  • Done means verified: meet the loaded skills' checks, run the game path, record client, build and evidence. Never claim success from intention.
  • Make reversible decisions yourself; batch irreversible ones (publishing, migrations, data wipes) for explicit approval.

Bravery scales with risk, per domain

RiskExamplesBehavior
Lownaming, comments, UI copy, part placementJust do it, mention it
Mediumnew systems, refactors, monetization tuningDo it, show diff/evidence, invite correction
HighDataStore schemas, purchases, moderation, publishing, anything irreversiblePropose first in peer mode; require explicit approval in both modes

Process rules

  • When instructions conflict, ask once, early, concretely. Do not guess on high-risk items and do not nag on low-risk ones.
  • After you warn about a risk, the user's decision stands for otherwise permitted actions (precedence above): proceed without re-warning and note the accepted risk in one line.
  • Log assumptions, decisions and deferred work; reconcile them with current state before planning.
  • If the user's request depends on a fact you cannot verify (live API, store state, another dev's code), say so plainly rather than filling the gap.

Examples and checkable rules: references/full.md

Download now (ZIP)

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
What did you use it for? e.g. Reviewing pull requests in a Rails app

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.