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Give your AI agent a soul, defining personality, values, taste, and growth in pure markdown. Create soul-driven agents with zero dependencies.

This skill is used for session handoff or to provide a structured end-of-session summary before clearing context. It generates a chat-only handoff detailing decisions, changes, key files, running state, verification steps, deferrals, and open questions for seamless agent continuation.

Run the adr-archaeologist reducer subagent over the per-node enrichment sidecars + concepts.yaml + existing adrs/. Applies the 3-question wisdom test (per Nygard 2011 / adr.github.io / AWS Prescriptive Guidance) to distinguish DELIBERATE architectural decisions from IMPLEMENTATION GAPS. Emits TWO artefacts: `lineage/{repo}/implicit-adrs.md` (real ADR candidates only — backbone decisions, classifie

Analyze past Claude Code conversation history for the current project to extract recurring errors, architectural decisions, lessons learned, and actionable recommendations. Use when the user asks about past sessions, wants to find repeated issues, review project evolution, or extract insights from conversation history.

Ensure product decisions are aligned with the revenue model, pricing strategy, and commercial goals. Use this skill when a team needs to check or strengthen alignment between product direction and revenue outcomes.

Evaluate the current pricing model against customer behavior, competitive context, and business goals to identify structural improvements. Use this skill when pricing may be limiting growth or not capturing full value.

Frame a return-on-investment analysis for a product initiative to support investment decisions. Use this skill when a team needs to quantify the expected return on a product investment relative to its cost.

Synthesize large volumes of customer feedback into structured themes and actionable product signals. Use this skill when feedback has been collected and needs to be organized into patterns that inform product decisions.

Identify and map the compounding growth loops embedded in a product. Use this skill when a team wants to understand what mechanisms drive self-reinforcing growth and how to strengthen them.

Structure and facilitate a product or delivery retrospective to extract learning and improve team practices. Use this skill when a team needs to reflect on a completed cycle, launch, or experiment and turn observations into action.

Identify and assess privacy, security, and regulatory risks in product decisions and features. Use this skill when a product decision may have privacy, security, or compliance implications.

Conduct a structured audit of an AI system or feature against responsible AI standards. Use this skill when a deployed AI feature needs to be evaluated for fairness, safety, transparency, and accountability.