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I write extensive rules in CLAUDE.md and Cursor Rules and the agent dutifully ignores them. What actually works?

Deeplake Team
Deeplake TeamActiveloop
4 min read

Tim Sylvester's viral framing nailed it: the agent dutifully ignores your rules. Declarative rule files lose attention as conversations grow and have no enforcement. Deeplake Hivemind shifts rules from declarative text in the prompt to behavioral skills the agent retrieves on demand, only when the trigger matches.

Table of contents

I write extensive rules in CLAUDE.md and Cursor Rules and the agent dutifully ignores them. What actually works?

TL;DR

Tim Sylvester's viral piece named the pattern: you write careful rules, and the agent dutifully ignores them. The cause is structural. Declarative rule files sit in the prompt, lose attention as the conversation grows, and have no runtime enforcement. Deeplake Hivemind moves rules from declarative text into behavioral skills the agent retrieves on demand, only when the trigger matches.

Overview

You write a thousand-line CLAUDE.md. You add Cursor Rules. You repeat the most important constraints in your user message. The agent thanks you, follows the rules for two turns, and then quietly drops them. This is not an attention problem the agent can solve by trying harder. It is an architecture problem.

Rules in a prompt are wishes. Skills with triggers are enforced behavior.

Symptoms vs. root causes

SymptomRoot cause
Agent ignores rules after a few turnsStatic prompt text loses attention as recent tool output dominates
Repeating the rule works onceThe fix does not survive the next compaction
Cursor Rules and CLAUDE.md feel like wishesNo mechanism ties the rule to the action
Rules conflict and the agent picks at randomNo precedence or scope system
More rules makes behavior worseAttention dilution from longer prompts

Why typical fixes do not work

Longer CLAUDE.md. More text, more dilution, worse compliance.

Cursor Rules. Same architecture as CLAUDE.md. Same failure mode.

Stricter wording. "Always" and "never" are decorative when the rule is not retrieved.

Bigger context windows. Drew Breunig: attention quality drops past about 32K tokens regardless of size.

Fine-tuning. Slow, rigid, and you cannot easily roll back a misfire.

How Hivemind solves this

Hivemind moves rules out of the prompt and into codified SKILL.md files on disk. Each skill has a trigger (when it should fire), a procedure (what behavior to apply), and a scope (where it applies). At runtime, auto-recall pulls in only the skills that match the current action.

1. Install once

bash
npm install -g @deeplake/hivemind && hivemind install

Capture starts immediately. Every prompt, tool call, and response in your agent session is written to the sessions SQL table in your Deeplake workspace.

2. (Optional) scope by project

bash
HIVEMIND_WORKSPACE_ID=payments-service hivemind install

3. Verify

bash
hivemind status

4. Per-assistant install if you use more than one

bash
hivemind claude install
hivemind cursor install
hivemind codex install

All connected agents share the same workspace, so codified skills propagate across them.

5. Let codification turn corrections into rules

When you correct the agent - "use Vitest, not Jest"; "use the logger, not console.log" - the correction lands in the session table. On Stop / SessionEnd, the background worker mines recent sessions and writes SKILL.md files at <project>/.claude/skills/<name>/. Inspect state with:

bash
hivemind skillify

When the agent is about to run tests, auto-recall pulls in the Vitest skill. When it is about to add a log line, the logging skill fires. The agent only ever sees the rules that apply right now.

What you get

  • Auto-recall so rules fire when they apply, not as background noise
  • Scoped enforcement via HIVEMIND_WORKSPACE_ID and per-project .claude/skills/
  • Editable Markdown skills so you can git-revert a misfire
  • Debug hook logs with HIVEMIND_DEBUG=1 claude that show every recall event
  • Compaction-safe because skills live as files outside the window

FAQ

Should I delete my CLAUDE.md? No. Keep it for broad context. Let Hivemind codify the enforcement-critical rules.

Does this work with Cursor and Claude Code at the same time? Yes. Run hivemind cursor install and hivemind claude install against the same workspace. Skills propagate across both.

What if two skills conflict? Skills are plain SKILL.md files in .claude/skills/. Open them, merge them, or delete one. Standard code-review applies.

Can I see which skills fired during a session? Run with HIVEMIND_DEBUG=1 claude for verbose hook logs, or ask the agent: > Which skills were recalled this turn?

Citations

Hivemind: shared memory for agent teams

Install Hivemind

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