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Grok Bot+18 agentsAgentArchitect — Prompt-to-SKILL.md Optimizer
Compiles verbose, chaotic team guidelines into token-efficient SKILL.md specs. Eliminates context bloat and enforces strict compliance for Cursor and Claude Code.
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AgentArchitect — Prompt-to-SKILL.md Optimizer
Example session with this skill installed
Hey team, listen up. From now on, when we do code reviews with the AI, we need to make sure we don't leak secrets. It's super important! Bob from security said last week that someone almost pushed an AWS key. Also, don't forget to use the formatting standard we agreed on in 2024 (Tabs for indentation, not spaces, unless it's Python, then use spaces). Oh, and if someone writes a database query, it must go through the internal QueryBuilder wrapper, never use raw SQL string interpolation because of SQL injections, we had a major incident with that three years ago. If the code looks clean, just print 'Looks good to me' but don't actually run the pipeline unless the tests pass locally first. Run 'npm run test:unit' and also 'npm run lint'. Make sure Cursor knows this. Thanks!.
- Read your context and instructions
- Compiled the agentarchitect
🔍 ARCHITECTURAL COMPLIANCE SECURED. ENFORCING SKILL.MD SPECIFICATION LAYOUT ONLY.
name: "secure-code-reviewer"
description: "Automated pre-review validation. Enforces secret scanning, strict indentation rules, and mandates the internal QueryBuilder wrapper for database operations."
secure-code-reviewer
Enforces repository security and style alignment during local AI development sessions. Pre-validates diffs before pipeline execution.
What it does
- Secret Scanning: Blocks staging if raw entropy strings or cloud provider signatures (AWS/GCP/Azure) are detected.
- Indentation Enforcement: Mandates Tabs for general files; strictly enforces 4-space indentation for Python files.
SQL Injection Prevention: Flags any raw SQL string interpolation; forces refactoring to the internal QueryBuilder wrapper.
- Local Verification: Mandates local execution of verification scripts before providing approval status.
Automated Verification Chain
npm run lint && npm run test:unit
When to use
- Reviewing active code diffs in Cursor or Claude Code prior to staging.
- Refactoring legacy data layers or handling cloud configuration files.
When NOT to use
- Frontend asset modifications (CSS/Images) that do not touch data layers or credentials.
Connects securely to your tools. The creator never sees your data.
About this skill
Stop wasting production context on conversational noise and repetitive instructions. AgentArchitect condenses unstructured human requirements into deterministic, machine-readable SKILL.md specifications optimized for LLM attention tracking.
What it does
- Context Compression: Trims up to 70% of prompt volume by stripping preambles, structural redundancy, and meta-commentary.
- Strict Validation: Validates mandatory frontmatter keys against the Agent Skills matrix before compilation.
- Token Isolation: Extracts terminal scripts and shell execution logic into isolated blocks, preventing code-in-text cross-contamination.
- Format Standardization: Forces directory and asset naming conventions to a cross-platform safe standard (lowercase, alphanumeric, hyphens).
How it works
- Verify Environment: Scans workspace context to verify file directory parameters and layout schemas.
- Extract Attributes: Separates active agent behavioral goals from conversational filler and noise.
- Enforce Structure: Validates extracted rules directly against the Agent Skills specification matrix.
- Emit Buffers: Outputs a machine-readable JSON status alongside a valid SKILL.md text block.
When to use
- Compiling large, text-heavy internal company engineering guidelines into deterministic agent rules.
- Minimizing token consumption in complex Cursor (.cursorrules) or Claude Code persistent memory sessions.
- Eliminating agent non-compliance errors caused by conflicting or ambiguous prose.
When NOT to use
- Early-stage exploratory prompt design where semantic boundaries are still shifting.
- Generating creative text, conversational prompts, or documentation meant solely for humans.
Why this beats prompting it yourself
- Zero Hallucination: Standard system prompts frequently invent missing parameters or mess up markdown nesting boundaries when processing long text blocks. AgentArchitect acts as a deterministic schema validator.
- Context Efficiency: Guarantees compliance with structural engineering standards, ensuring your agent rules are optimized for context efficiency without text bloat.
Under the Hood & Security
- 100% Local & Air-Gapped: Zero external API or network calls. Your internal prompts, architectural layouts, and operational workflows never leave your local environment.
- Passive Blueprinting: Functions strictly in a read-only buffer mode. It provides a compliance blueprint without altering your active repository state.
Supported Ecosystems
Designed for prompt developers, AI agencies, and platform engineering teams. Perfectly structures rules and configuration customizers for Cursor (.cursorrules), Claude Code, GitHub Copilot, and open-source agent frameworks.
Find more skills like this on the Claude Skills Marketplace, the Codex Skills Marketplace and the Gemini Skills Marketplace, or browse Claude Skills for Prompt & Skill Engineering.
Astatic architectural validator. Operates via deterministic schema constraints without executing local binaries or code compile tests. Functions strictly in a read-only buffer mode and does not perform creative prose rewrites.
How to use
- 1
Connect your agent to the Agensi MCP
Copy the prompt and paste it into Claude, ChatGPT, Cursor or any agent that supports MCP. It sets up the connection for you. Manual setup
- 2
Sign in to Agensi
Your agent shows a sign-in link. Sign in and click Allow.
- 3
Ask for what you need
Your agent loads this skill and uses it on your task. It always asks before buying a skill.
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Trust & safety
Security scan
Security scan passed 22 days ago
- Free with an Agensi account
- Software
Python
Permissions
File Scopes
Read-only sandbox access. Strictly parses plain text configuration files to optimize metadata layout. Operates entirely offline with zero network outbound vectors, ensuring internal engineering prompts never leak.