AI Agent Workflow Collection

Generates new agent profiles with consistent structure, automatic validation pattern injection, and test-driven…

PreToolUse hook. Warns before destructive bash commands (rm -rf, DROP TABLE, git push --force, etc). Activates via /careful. Whitelists safe deletions (nodemodules, .next, dist).

FAST code generation via Z.ai glm-4.6 model. Use for rapid test generation, boilerplate code, repetitive patterns, and bulk file creation. Ideal when speed matters more than nuance. Do NOT use for complex architectural decisions or security-critical code.

Coordinates FAST code generation via Z.ai glm-4.6 with CodeSearch pattern learning. Use when agents need rapid test generation, bulk code creation, or repetitive boilerplate. Tracks successful prompts for continuous improvement. Ideal for high-volume, low-complexity code tasks.

FAST code generation via mcpcerebras-mcpwrite tool using Z.ai glm-4.6. Use for rapid test generation, boilerplate creation, and bulk code tasks in main chat. Prompt must be SHORTER than output. Ideal for tests, CRUD, migrations, and repetitive patterns.

Two-phase compilation error fixer for Rust and TypeScript using Cerebras LLM bulk processing + dedicated agent cleanup. Use when you have 20+ compilation errors that need fast bulk reduction, or when errors are mostly mechanical (type mismatches, missing imports, syntax issues).

Configuration management and environment sanitization. Use when you need to manage configuration files, validate environment variables, sanitize sensitive data, or update system settings across CFN Loop components.

Unified atomic ingestion of CFN dependency manifests (trigger-dev, cli-mode,…

Task dependency extraction and context ingestion. Use when you need to parse task criteria, identify dependencies, generate execution order, or inject context for complex multi-step tasks.

Skill deployment and promotion lifecycle management. Use when transitioning skills from APPROVED to DEPLOYED status, or promoting skills from staging to production with SLA enforcement.

Docker container orchestration for CFN Loop - spawning, coordination, logging, wave execution. Use when running CFN Loop agents in Docker containers, executing waves of parallel agents, coordinating containerized agents via Redis, or managing Docker-based agent lifecycle.

Pre-edit backup and post-edit validation for safe file modifications. Use when you need to capture file state before edits, validate changes after modifications, revert files to previous state, or ensure edit safety with automatic backup and validation hooks.

Creates comprehensive epic definitions with sequential reviews from 10 key personas. Use when you need to analyze requirements from multiple perspectives and generate structured epic documentation with cost estimates and risk assessments.

Converts natural language epic documents from markdown into structured JSON configurations for MDAP or CFN Loop execution. Use when you need to parse epic documents, validate epic structure, or generate execution configurations from planning documents.

Unified error handling, batching, and logging for CFN Loop. Use when you need to capture agent errors, batch multiple errors for processing, log structured error data, or categorize and recover from agent failures.

Human intervention detection and orchestration for CFN Loop. Use when automated processes need human oversight, when escalation is required, or when managing intervention workflows and approval gates.

Organizational learning from CFN Loop execution - workflow codification and playbooks. Use when you need to store successful patterns, query past learnings, track edge cases and failures, or retrieve agent configurations and iteration strategies from previous tasks.

CFN Loop coordination and orchestration - gate checks, validation, consensus, coordination patterns. Use when orchestrating multi-agent workflows, managing iteration cycles, or coordinating Loop 2/Loop 3 dependencies.

Data persistence for CFN Loop - SQLite storage, Redis coordination, automatic memory…

Secure SQL query execution with parameterized queries to prevent SQL injection attacks. Use when executing database queries, inserting/updating records, or performing any SQL operations that require security hardening.

Epic decomposition, coordinator planning, and scope management. Use when breaking down epics into sprints and tasks, coordinating multi-coordinator workflows, or simplifying and managing project scope boundaries.

Extract complete Redis coordination data from completed CFN Loop tasks and structure into comprehensive JSON analysis…

Provider routing and hybrid routing config for CFN. Use when configuring which API provider handles requests, or setting up hybrid multi-provider routing.

Skill loading, propagation, and building for CFN. Use when dynamically discovering and loading skills, deploying skills across environments, or creating new skill scaffolding.