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claude-codedevelopment

Claude-skill-registry cfn-task-intelligence

Classify tasks (type/domain), estimate complexity/iterations, recommend specialists from feedback themes

install
source · Clone the upstream repo
git clone https://github.com/majiayu000/claude-skill-registry
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/majiayu000/claude-skill-registry "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/data/cfn-task-intelligence" ~/.claude/skills/majiayu000-claude-skill-registry-cfn-task-intelligence && rm -rf "$T"
manifest: skills/data/cfn-task-intelligence/SKILL.md
tags
#task-classification#complexity-estimation#specialist-recommendation#cfn-loop
source content

What it does

Analyzes task descriptions → classifies type (software, content, research, design, infrastructure, data), detects domains (frontend, backend, security, devops, testing, database, docs), estimates complexity + iterations, recommends specialists from recurring feedback.

When to use

  1. New task → Determine CFN Loop config and agents
  2. Estimate iterations → How many loops before gates pass
  3. Recurring issues → After 3 security feedback, recommend security-specialist
  4. Multi-agent coordination → Identify domains and dependencies

When NOT to use

  1. Task already classified → Proceed with execution
  2. Simple type check → Use /write-plan instead
  3. Agent failure debugging → Use /cfn-check-errors
  4. Adjust teams mid-execution → Use /cfn-agent-lifecycle

How to use

Classify: ./cfn-task-intelligence.sh --task-description "..." --mode classify Complexity: --mode complexity (returns iterations 2-7, confidence 0.70-0.80) Specialist: --mode specialist --current-loop3 "..." --feedback-themes "security,auth" --recurring-count 3 Full: --mode all

Parameters

--task-description, --mode (classify/complexity/specialist/all), --current-loop3, --feedback-themes, --recurring-count

Expected output

Classify: {task_type, domains[], complexity, keyword_counts} Complexity: {complexity, estimated_iterations, confidence, factors, reasoning} Specialist: {add_specialist, reasoning, new_loop3_agents[]}

Real-world

"Microservice with K8s and streaming" → infrastructure, [backend,devops,database], high, 6 iterations → spawn DevOps + backend, enterprise mode