Works with the AI Agents you already use
Claude Code
Cursor
Codex CLI
DeepSeek
Muse+22 moreClaude CodeCursorCodex CLIDeepSeekMuse
Dots
Manus
Grok
Grok Bot+18 agentsPython SequenceArchitect — AST Prompt-Isolation Orchestrator
Enforces one-file-per-prompt decomposition and structural package schemas for Python AI workflows.
$19.99
Python SequenceArchitect — AST Prompt-Isolation Orchestrator
Example session with this skill installed
Write a quick monolithic script to process real-time events and save them instantly to a local flat file tracker framework.
- Read your context and instructions
- Compiled the python sequencearchitect
{
"decomposition_status": "DECOMPOSED",
"findings": [
{
"id": "f1",
"file": "root",
"line": 1,
"severity": "HIGH",
"signature": "MULTI_FILE_OVERRIDE_DETECTED",
"message": "Monolithic request rejected. Flat-file storage for real-time events creates race conditions under concurrent writes. Decomposing into isolated Python modules.",
"snippet": "Write a quick monolithic script..."
}
],
"target_tree": {
"live_event_tracker": {
".env": "Environment storage vault",
"config.py": "Configuration loader layer",
"redis_client.py": "Async Redis factory",
"event_consumer.py": "Async stream process handler",
"handlers": {
"webhook.py": "Ingress stream routing",
"health.py": "Standalone ping component"
}
}
},
"micro_prompts": [
{
"step": "1/5",
"target_file": "live_event_tracker/config.py",
"prompt": "Clean-room engineer. Write a config loader that reads REDIS_URL and API_TOKEN from environment variables. Emit a .env.example with these keys documented. Do not import any other project module."
},
{
"step": "2/5",
"target_file": "live_event_tracker/redis_client.py",
"prompt": "Clean-room engineer. Write an async Redis client factory using redis.asyncio. Expose a single get_client() function. Accept the URL as a parameter — do not import config.py directly."
},
{
"step": "3/5",
"target_file": "live_event_tracker/event_consumer.py",
"prompt": "Clean-room engineer. Write an async loop that reads from a Redis Stream, processes events, and acknowledges them. Accept the client as a parameter. Do not import handlers."
},
{
"step": "4/5",
"target_file": "live_event_tracker/handlers/webhook.py",
"prompt": "Clean-room engineer. Write a webhook handler that pushes incoming events into a Redis Stream. Do not import event_consumer.py."
},
{
"step": "5/5",
"target_file": "live_event_tracker/handlers/health.py",
"prompt": "Clean-room engineer. Write a standalone health-check endpoint that pings Redis and returns status. Must run in isolation — no project imports."
}
],
"metadata": {
"version": "1.0.0",
"timestamp": "2026-10-15T17:45:00Z",
"files_in_layout": 8,
"micro_prompts_compiled": 5,
"security_status": "PROMPT_ISOLATED"
}
}
Connects securely to your tools. The creator never sees your data.
About this skill
Stop tolerating un-paginated monolithic script dumps, context window saturation, and severe logic degradation introduced by AI tools during code-generation phases. Python SequenceArchitect is a deterministic task-decomposition layer that acts as an architectural meta-controller, forcing AI coding agents to freeze monolithic generation loops and break development goals into isolated, single-file prompt blocks.
Standard code generation pipelines frequently crash when an automated agent attempts to emit multiple Python files within a single execution turn. This pattern induces severe context drift, missing import bindings, and dropped functions. This engine enforces a rigid clean-room orchestration layer that processes generation requests in isolated, sequential segments.
What it does
- Monolithic Generation Interception: Rejects single-pass multi-file script dumps, enforcing a mandatory structural layout freeze over open-ended code streams.
- Directory Layout Verification: Forces the coding agent to define and validate a complete Python package hierarchy contract before any functional source code is written.
- Clean-Room Prompt Sequencing: Synthesizes dedicated micro-instruction manifests that confine the AI agent's execution scope to exactly one target file per prompt loop.
- Boundary Isolation Enforcement: Anchors micro-prompts so they remain completely independent, preventing generation scripts from cross-referencing shifting module internals during sprints.
- Machine-Readable Telemetry: Outputs a strict, schema-validated JSON compilation contract optimized for local Git operations, architectural gates, or enterprise validation buffers.
Detected Generation Faults
- MULTI_FILE_OVERRIDE_DETECTED: Attempting to emit structural layouts, configurations, and core functional logic simultaneously within a single session response turn.
- MISSING_PACKAGE_SCHEMA: Initiating functional code synthesis before delivering a formalized, dependency-aware directory tree blueprint.
- CONTEXT_DRIFT_HAZARD: Generating overlapping code arrays that violate single-responsibility boundaries and trigger module-level resource conflicts.
When to use
- Compiling complex software platforms, asynchronous APIs, and distributed architectures (FastAPI, aiogram, Django, Flask) from scratch.
- Intercepting initial feature-planning loops inside Cursor or Claude Code to prevent LLM memory saturation during intensive feature sprints.
- Standardizing clean architecture models and scalable directory structures across multi-developer repository targets.
When NOT to use
- Reviewing standalone local helper tools, single-responsibility script classes, or trivial text refactoring tasks under 300 total lines of code.
- Scenarios where complete, granular architectural specifications and fully isolated sub-module models are already active within the conversation buffer.
- Performing active runtime file modification routines or direct filesystem edits (this engine runs strictly in a passive, read-only configuration).
Under the Hood & Security
- 100% Local & Air-Gapped: Operates entirely inside local sandboxed allocations (
file_system_write: false). Absolute zero outbound network queries ensure application route schemes, infrastructure paths, and core logic parameters never leak. - Contract-Tested Stability: Backed by a rigorous 12-point testing harness validating schema compliance boundaries, edge cases, and absolute zero-hallucination execution.
Find more skills like this on the Claude Skills Marketplace, the Codex Skills Marketplace and the Gemini Skills Marketplace, or browse All Claude Skills.
Static validation constraints only. The engine guides, balances, and isolates code generation steps within memory configurations without executing internal compiler binaries, running dynamic validation hooks, or modifying file trees directly. Lightweight scripts or linear components under 300 total lines of code volume are systematically bypassed by the sequencer rules.
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.
Reviews
No reviews yet
Be one of the first to try it. Every listed skill goes through the trust checks below.
Security scanned
Checked by our 8-point scan before listing
Fresh listing
Recently published to Agensi
Money-back guarantee
Doesn't do what its page promises? You get your money back.
Trust & safety
Security scan
Security scan passed 29 days ago
- Software
Python
Permissions
Allowed Hosts
File Scopes
Read-only sandbox access to Python project blueprints and application layers. Enforces task-decomposition matrices and context-isolated micro-instruction prompts completely offline within secure memory buffers, ensuring absolute zero permission for dynamic shell routing, file mutation, or external cloud telemetry.