Agent Prompting & Delegation
Best practices for writing effective Task tool prompts that produce clear, structured outputs from sub-agents. Covers context engineering, instruction clarity, output format specification, and parallel delegation patterns. MUST BE USED PROACTIVELY when spawning sub-agents to ensure high-quality results.
context-prep
Prepare optimal context package before delegating tasks to sub-agents
exploring-knowledge-graph
Guidance for deep knowledge graph traversal across memories, entities, and relationships. Use when needing comprehensive context before planning, investigating connections between concepts, or answering "what do you know about X" questions.
prp-manager
Create and execute PRPs (Product Requirements Prompts) for feature implementation using Context Engineering principles. Use when planning new features, initializing PRP setup, or executing existing PRPs. Helps achieve one-pass implementation success.
memories
Save and retrieve memories or embeddings via the repo helpers or API. Use when working with embedding config or memory storage.
pm-workflow-guide
Provides intelligent context-aware PM workflow guidance with automatic phase detection. Prioritizes 6 natural workflow commands (plan, work, sync, commit, verify, done) for streamlined project management. Auto-activates when user mentions planning, implementation, verification, spec management, or asks "what command should I use". Detects workflow phase and suggests optimal command path. Provides learning mode for new users. Prevents common mistakes and offers error prevention. Works with pm-workflow state machine (IDEA → PLANNED → IMPLEMENTING → VERIFYING → VERIFIED → COMPLETE).
context-engineering
Master context engineering for AI features - the skill that separates AI products that work from ones that hallucinate. Use when speccing new AI features, diagnosing underperforming AI features, or doing quality checks before shipping. Helps PMs define what context AI needs, where to get it, and what to do when it fails. Based on the 4D Context Canvas framework.
conversation-archaeologist
Mine ALL past Claude conversations to build a living 'User Manual About You'. Extract writing style, business context, goals, preferences, and patterns. Make all other skills smarter with context.
claude-code-agent-patterns
Activate when creating or modifying Claude Code agents with proper architecture patterns, tool selection, and extended context integration
evaluation
Build evaluation frameworks for agent systems. Use when testing agent performance, validating context engineering choices, or measuring improvements over time.
rag-architect
Use when building RAG systems, vector databases, or knowledge-grounded AI applications requiring semantic search, document retrieval, or context augmentation.
always-init
Universal task initializer that automatically loads PAI context for all user requests. Ensures complete context availability (contacts, preferences, protocols) before responding to any task. (project, gitignored)
prompting
Prompt engineering standards and context engineering principles for AI agents based on Anthropic best practices. Covers clarity, structure, progressive discovery, and optimization for signal-to-noise ratio.
using-superpowers
Use when starting any conversation - establishes how to find and use skills, requiring Skill tool invocation before ANY response including clarifying questions
context-loader
Load project context efficiently for Conductor workflows. Use when starting work on a track, implementing features, or needing project context without consuming excessive tokens.
symfony:effective-context
Provide effective context to Claude for Symfony development with relevant files, patterns, and constraints
delegation-prompt-crafter
Transform clarified user requests into structured delegation prompts optimized for specialist agents (cto-architect, strategic-cto-mentor, cv-ml-architect). Use after clarification is complete, before routing to specialist agents. Ensures agents receive complete context for effective work.
AI Maestro Memory Search
PROACTIVELY search conversation history when receiving user instructions. Find previous discussions, decisions, and context BEFORE starting new work. Your memory is valuable - use it.
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