cfn-task-planning

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name: cfn-task-planning description: Classify tasks, initialize structured configs with scope boundaries, decompose complex tasks version: 1.0.0 tags: planning, classification, scope, decomposition, task-mode status: production

What it does

Three-phase planning: (1) classify by type/complexity → agent specializations, (2) initialize config with scope boundaries, deliverables, acceptance criteria, (3) decompose large tasks into subtasks within tool budgets.

When to use (4 triggers)

1. Starting CFN Loop Task Mode → Generate scope config before spawning
2. Analyzing complexity → Select right agents and iteration thresholds
3. Breaking down epics → Sequential subtasks when one agent can't complete
4. Scope contracts → Establish in/out-of-scope before implementation

When NOT to use (4 anti-patterns)

1. Well-defined and scoped → Go straight to spawning
2. Real-time classification during execution → Planning phase only
3. CLI mode with Redis → CLI stores in Redis, this is for Task Mode configs
4. Simple single-step → Skip for trivial changes

How to use

Step 1 Classify: ./classify-task.sh "Create REST API..." --format=json Step 2 Init: ./init-config.sh --task-id cfn-phase-123 --task-description "..." --mode standard Step 3 Decompose: ./decompose-task.sh --task-id ... --description "..." --complexity high

Parameters

• classify: TASK_DESCRIPTION, --format (json/simple)
• init: --task-id, --task-description, --mode (mvp/standard/enterprise)
• decompose: --task-id, --description, --tool-budget, --complexity

Expected output

• Classify: {task_type, complexity, keywords_matched, suggested_agents}
• Init: .cfn/task-configs/task-{id}.json with scope, agents, thresholds, acceptance criteria
• Decompose: JSON array of subtasks with deliverables, tool_budget, estimated_effort

Real-world example

"Add JWT auth" → classify backend → init config with deliverables [src/auth/jwt.ts, tests/] + acceptance criteria → spawn agents with known scope