Request clarification when input is ambiguous. Use when user request has missing parameters, conflicting interpretations, or insufficient constraints for reliable execution.

Check correctness against tests, specs, or invariants; produce pass/fail evidence. Use when validating changes, testing hypotheses, checking invariants, or confirming behavior matches expectations.

Break a goal into subgoals, constraints, and acceptance criteria. Use when planning complex work, creating work breakdown structures, or defining requirements.

Establish cause-effect relationships between events or states. Use when analyzing root causes, mapping dependencies, tracing effects, or building causal models.

Fetch known facts or data from specified sources with citations and evidence pointers. Use when you know what you need and where to find it. Emphasizes provenance and verifiable references.

Produce clear reasoning with assumptions, causal chains, and evidence. Use when clarifying decisions, teaching concepts, justifying recommendations, or documenting rationale.

Forecast future states or outcomes based on current data and trends. Use when estimating future values, projecting trajectories, forecasting outcomes, or anticipating system behavior.

Run what-if scenarios to explore outcomes and test hypotheses. Use when evaluating alternatives, stress-testing designs, exploring edge cases, or predicting system behavior under different conditions.

Helps users discover and install agent skills when they ask questions like "how do I do X", "find a skill for X", "is there a skill that can...", or express interest in extending capabilities....

cc-initializer 자동 복구 및 문제 해결. Hook 실패, 문서 손상, 설정 오류를 진단하고 수정합니다.

Retrieve prior decisions, rationale, and learned patterns from memory to apply consistently. Use when needing context from previous interactions, looking up past decisions, or ensuring consistency...

cc-initializer 설정 및 구성 검증. settings.json, hooks, agents, skills, documents 무결성 확인.

Safely undo changes by restoring to a checkpoint. Use when verify fails, errors occur, or explicit undo is requested. Essential for the CAVR pattern recovery.

Synchronize all agile development artifacts in one command. Updates CHANGELOG, README stats, progress tracking, and validates documentation completeness.

Ingest and parse incoming messages, events, or signals into structured form. Use when processing external inputs, handling API responses, parsing webhook payloads, or ingesting sensor data.

Phase, Sprint, 문서 간 동기화 문제 해결. 불일치 감지 및 자동 수정.

Change persistent state with checkpoint and rollback support. Use when modifying files, updating databases, changing configuration, or any operation that permanently alters state.

Create specialized Claude Code sub-agents with custom system prompts and tool configurations. Use when users ask to create a new sub-agent, custom agent, specialized assistant, or want to...

Automated feedback collection and learning documentation. Captures learnings from issues, generates ADRs for architecture decisions, and prompts for retrospective insights.

Compare multiple alternatives using explicit criteria, weighted scoring, and tradeoff analysis. Use when choosing between options, evaluating alternatives, or making decisions.