agentleFS
VinayKhandiaVinayKhandia/no-slop/AGENTS.md

no-slop

AGENTS.md1 starsChanged 11 days agoMITView on GitHub

You are operating under the no-slop protocol: minimal token overhead, zero unnecessary churn, strict diffs, and structured modular execution. Follow this fixed sequence for all non-trivial tasks: Applies when the user asks for a new website, landing page, 3D or motion-heavy UI, or a new app. For small edits, fixes and questions do not run this workflow: make the minimal change (diff-guard) and stop. Precedence: these rules win over any other rule or plugin that says to decompose, dispatch sub-agents…

The file

We split this AGENTS.md into the rules it gives an agent

10 rules. About 0 are common, 8 are distinctive, and 2 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈8

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 2

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    Follow this fixed sequence for all non-trivial tasks:

    line 7
  2. Distinctive:

    Ask at most 3 blocking questions.

    line 12
  3. Distinctive:

    If subagents are supported: run up to 5 parallel workers.

    line 24
  4. Distinctive:

    If subagents are not supported: execute assigned roles sequentially in this single agent session.

    line 25
  5. Distinctive:

    Never reprint full files for localized edits.

    line 31
  6. Very specific:

    After each completed chunk, append a structured learning note to LEARNING.md.

    line 42
  7. Distinctive:

    Default mode is "on" (keep notes under 120 words).

    line 43
  8. Distinctive:

    Keep context lean: read only target files, never load unreferenced files.

    line 47
  9. Distinctive:

    Keep output concise: avoid conversational padding and narrative fluff.

    line 48
  10. Very specific:

    Update TASKS.md state immediately after each chunk completes.

    line 50

≈ “Common” is an estimate: at least 1 in 5 of the 40,246 AGENTS.md 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
AGENTS.md

no-slop: Universal Agent Directive

You are operating under the no-slop protocol: minimal token overhead, zero unnecessary churn, strict diffs, and structured modular execution.

Execution Workflow

Follow this fixed sequence for all non-trivial tasks:

  1. prompt-optimizer writes BRIEF.md (skip for quick mode) (skills/prompt-optimizer/SKILL.md)
    • prompt-optimizer writes BRIEF.md (skip for quick mode).
    • List explicit assumptions.
    • Ask at most 3 blocking questions; proceed immediately if unblocked.
  2. Planning (skills/planner/SKILL.md)
    • Decompose work into discrete chunks.
    • Initialize and maintain TASKS.md with: ID, chunk, role, status, notes.
  3. Design Direction (UI tasks only) (skills/design-taste/SKILL.md)
    • Define concept, palette, typography, spacing, and motion before writing code.
    • Emit DESIGN.md. Non-UI tasks skip this stage.
  4. Orchestration & Worker Execution (skills/orchestrator/SKILL.md)
    • Dispatch chunks to roles (roles/frontend.md, roles/backend.md, roles/database.md, roles/api.md, roles/flex.md).
    • If subagents are supported: run up to 5 parallel workers.
    • If subagents are not supported: execute assigned roles sequentially in this single agent session.
    • Feed each worker only its assigned chunk and relevant files. Never dump the whole repository into context.
    • Serialize work on shared files to avoid merge conflicts.
  5. Diff Guard (applied to EVERY edit) (skills/diff-guard/SKILL.md)
    • Touch only necessary lines.
    • Never reprint full files for localized edits.
    • Block unsolicited refactors, unrequested features, and boilerplate comments.
    • Validate diff size against task scope; revert surplus changes before proceeding.
  6. Review Loop (skills/reviewer/SKILL.md)
    • Act as a senior engineer auditing correctness, security, readability, error handling, and tests.
    • Return a numbered issue list.
    • Have the active role fix issues, re-review, and repeat until clean (max 3 review iterations).
    • Flag any unresolved items if max loops are reached.
  7. Teach Mode Note (skills/teach-mode/SKILL.md)
    • After each completed chunk, append a structured learning note to LEARNING.md.
    • Default mode is "on" (keep notes under 120 words).

Operating Rules

  • Keep context lean: read only target files, never load unreferenced files.
  • Keep output concise: avoid conversational padding and narrative fluff.
  • Respect role boundaries: never edit files assigned to other roles out of turn.
  • Update TASKS.md state immediately after each chunk completes.

UI, site and app builds: gate protocol

Applies when the user asks for a new website, landing page, 3D or motion-heavy UI, or a new app. For small edits, fixes and questions do not run this workflow: make the minimal change (diff-guard) and stop.

Precedence: these rules win over any other rule or plugin that says to decompose, dispatch sub-agents or start building immediately. Before Gate 0 is approved, do not dispatch sub-agents and do not write project files other than BRIEF.md and DECISIONS.md.

Modes:

  • collab (default): stop at every gate below.
  • autopilot: only when the user's message contains the exact word "autopilot". Record assumptions in DECISIONS.md and run Gate 6 only. Never infer autopilot from a detailed prompt, a long task, or the user being away.

What "stop" means: your entire reply at a gate is what you made (the preview path), your questions, and nothing else. If you have a tool that pauses and asks the user, use it. Otherwise ask in chat. Make no further tool calls in that turn. Continue only after the user answers. Record current_gate and gate_status (pending_user or approved) at the top of DECISIONS.md.

| Gate | Name | Before it, you may | You ask | To continue | | 0 | Intake | read the request, inspect assets/, write BRIEF.md and DECISIONS.md | assets, references, amount of 3D | user answers | | 1 | Direction | build previews/direction.html | pick or mix of 3 directions | user picks | | 2 | Type and color | build previews/type-color.html | type pairing, palette tweaks | user picks | | 3 | Motion and story | build previews/motion.html and STORYBOARD.md | motion personality, scenes | user approves | | 4 | Hero | build the hero only | does the look match | user approves | | 5 | Sections | build 2 to 3 scenes per pass | feedback per section | user approves each pass | | 6 | Final | run visual-qa and the rubric | last changes | user confirms |

Skill order: prompt-optimizer (functional BRIEF only), client-collab (runs the gates), asset-intake, reference-teardown (if references exist), design-taste, storyboard, motion-craft, scene-3d, visual-qa, reviewer.

Always: read DECISIONS.md before every step and never re-ask a recorded answer. Use the client's photos and models for the product and never substitute a generated shape when assets exist. Never report UI work done without screenshots or frames you have looked at. Sub-agents may be used only after Gate 3 is approved, for independent files, never for decisions that belong to a gate.

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.