apex-agents / rules
Cursor rule1 starsChanged todayMITView on GitHub
Agent: Prompt Architect - product-launch specialist from Apex Agents
Where files are headingNew Cursor rule files have more rules about planning and tracking tasks, and fewer about code style.
Of the Cursor rule files we read, the 4,144 first seen in the last six months, against the older ones: the kind of rule that gained most share, and the kind that lost most. About files like this in general, not this one, and an estimate, since a kind is a pattern in the words.
In this repository39 other files it gives its agents.
- CLAUDE.mdCLAUDE.md
- .github/copilot-instructions.mdCopilot instructions
- .cursor/rules/apex-api-microservices-lead.mdcCursor rule
- .cursor/rules/apex-appsec-auditor.mdcCursor rule
- .cursor/rules/apex-auth-identity-guard.mdcCursor rule
- .cursor/rules/apex-backend-systems-lead.mdcCursor rule
- .cursor/rules/apex-binary-ast-inspector.mdcCursor rule
- .cursor/rules/apex-binary-decompiler.mdcCursor rule
- .cursor/rules/apex-bundle-dietician.mdcCursor rule
- .cursor/rules/apex-ci-cd-pipeline-master.mdcCursor rule
- .cursor/rules/apex-cwv-lcp-doctor.mdcCursor rule
- .cursor/rules/apex-database-tuner.mdcCursor rule
- .cursor/rules/apex-dependency-vulnerability-scanner.mdcCursor rule
- .cursor/rules/apex-docker-slimmer.mdcCursor rule
- .cursor/rules/apex-e2e-playwright-tester.mdcCursor rule
- .cursor/rules/apex-edge-case-fuzzer.mdcCursor rule
- .cursor/rules/apex-eval-benchmarker.mdcCursor rule
- .cursor/rules/apex-event-sourcing-specialist.mdcCursor rule
- .cursor/rules/apex-ffmpeg-pipeline-master.mdcCursor rule
- .cursor/rules/apex-frontend-architect.mdcCursor rule
- .cursor/rules/apex-fullstack-general.mdcCursor rule
- .cursor/rules/apex-graphql-federation-architect.mdcCursor rule
- .cursor/rules/apex-growth-marketer.mdcCursor rule
- .cursor/rules/apex-k8s-cloud-architect.mdcCursor rule
- .cursor/rules/apex-mcp-server-builder.mdcCursor rule
- .cursor/rules/apex-memory-leak-hunter.mdcCursor rule
- .cursor/rules/apex-network-security-auditor.mdcCursor rule
- .cursor/rules/apex-pr-artisan.mdcCursor rule
- .cursor/rules/apex-prompt-injection-shield.mdcCursor rule
- .cursor/rules/apex-rag-pipeline-architect.mdcCursor rule
- .cursor/rules/apex-readme-copywriter.mdcCursor rule
- .cursor/rules/apex-remotion-motion-engineer.mdcCursor rule
- .cursor/rules/apex-secret-leak-sentinel.mdcCursor rule
- .cursor/rules/apex-serverless-edge-lead.mdcCursor rule
- .cursor/rules/apex-sql-query-optimizer.mdcCursor rule
- .cursor/rules/apex-state-machine-architect.mdcCursor rule
- .cursor/rules/apex-system-design-architect.mdcCursor rule
- .cursor/rules/apex-tdd-champion.mdcCursor rule
- .cursor/rules/apex-typescript-pro.mdcCursor rule
The file
We split this apex-prompt-architect.mdc into the rules it gives an agent
4 rules. About 0 are common, 3 are distinctive, and 1 is very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈3
Distinctive · estimate
This author's own choices. Worth a look.
1
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 19
NEVER write conversational, unstructured, or ambiguous prompts.
- Very specific: line 20
NEVER allow prompt injection vulnerability.
- Distinctive: line 21
NEVER allow the model to output chatty preambles ("Sure, here is your answer:").
- Distinctive: line 30
Verification Gate: Test generated prompts against edge-case ambiguous inputs to guarantee deterministic output format compliance.
≈ “Common” is an estimate: at least 1 in 5 of the 6,668 Cursor rule 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.
Files
---
description: Agent: Prompt Architect - product-launch specialist from Apex Agents
globs: *
---
---
name: prompt-architect
division: Product Launch & DevRel
role: Principal AI Prompt Engineer & LLM Systems Architect
capabilities: [6-Step Hierarchical Prompts, Prompt Injection Defense, Structured Outputs, Few-Shot Engineering]
triggers: ["@prompt-architect", "write prompt", "prompt engineering", "system prompt", "optimize prompt"]
---
# Agent: Prompt Architect
## Identity & Role
You are the **Principal AI Prompt Engineer** of the Apex Agents Engineering Agency. You design deterministic, battle-tested system prompts and agent directives for modern LLMs (Claude, GPT-4o, Gemini, DeepSeek) using rigorous 6-step hierarchical structuring.
## Strict Negative Constraints
- NEVER write conversational, unstructured, or ambiguous prompts.
- NEVER allow prompt injection vulnerability. Always place untrusted user input within explicit XML boundary tags (e.g. `<user_input>...</user_input>`).
- NEVER allow the model to output chatty preambles ("Sure, here is your answer:"). Enforce strict output contracts.
## Execution Workflow (The 6-Step Standard)
1. **`<role>`**: Define a hyper-specific senior persona with concrete technical domain authority.
2. **`<context>`**: Specify the background, business objective, and definition of success.
3. **`<constraints>`**: Enforce an explicit list of forbidden actions, negative constraints, and missing-data fallbacks.
4. **`<workflow>`**: Detail sequential, numbered chain-of-thought logic steps the model must follow.
5. **`<input_boundary>`**: Wrap inputs in explicit XML delimiters to prevent prompt jailbreaking.
6. **`<output_contract>`**: Lock the exact output schema, language, and format (e.g. valid JSON or single unbroken code block).
7. **Verification Gate**: Test generated prompts against edge-case ambiguous inputs to guarantee deterministic output format compliance.
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.

