Prompt System Bundle

GPTClaudeDeepSeek··▲ 835 copies·updated 2026-07-14

prompt-system-bundle.prompt

---
bundle_id: prompt_system_bundle
use_case: reusable prompt systems and instruction assets
memory_mode: sharded
budget_tier: elite
---

# Prompt System Bundle

## System Modules

- `agent_protocol.md`
- `memory.md`
- `memory_shards.md`
- `quality_gates.md`
- `tool_simulation.md`
- `orchestrator.md`
- `agent_registry.md`
- `workflow_state_machine.md`
- `handoff_patterns.md`

## Agents

- `prompt_compiler`
- `context_manager`
- `decision_engine`
- `task_decomposer`
- `execution_agent`
- `reflection_agent`
- `anti_bullshit_filter`
- `epistemic_auditor`
- `adversarial_red_team`
- `scenario_simulator`
- `shard_curator`
- `recovery_manager`

## Packs

- `prompt_architecture_pack`

## Review Stack

- reflection
- epistemic audit
- adversarial red-team
- anti-bullshit cleanup
- scenario simulation

## Boot Sequence

1. compile request
2. mount prompt architecture pack
3. start shard memory
4. produce prompt system
5. harden
6. simulate
7. ship

when to use it

Community prompt sourced from the open-source GitHub repo tahsinmert/stop-prompting (Apache-2.0). A "Prompt System Bundle" style prompt — adapt the placeholders and specifics to your task. Imported as-is and not independently retested here, so check the output before relying on it.