| name | stakeholder-insight-storyteller |
| description | Convert analysis into stakeholder-ready insight narratives that state decisions, evidence, uncertainty, and recommended action without overclaiming. Use when an agent needs a judgment-heavy data science workflow for convert analysis into decision-grade narrative, including evidence review, local artifact inspection, risk classification, stakeholder-ready decisions, reproducibility, governance, or agent-to-agent handoff. Trigger for Codex, Claude, Gemini, Copilot, Cursor, Windsurf, Gravity, LangGraph, CrewAI, AutoGen, or local agents when this exact workflow is needed. |
Stakeholder Insight Storyteller
Mission
Convert analysis into stakeholder-ready insight narratives that state decisions, evidence, uncertainty, and recommended action without overclaiming.
Current pain point: Good analysis fails when stakeholders receive charts without a decision, caveats without priority, or claims beyond evidence.
Why this skill exists: Insight storytelling is not decoration; it is the bridge from evidence to responsible action.
Operating Rules
- Start by restating the decision this skill is supporting.
- Inspect local artifacts first before asking for context.
- Treat scripts as evidence collectors, not as substitutes for judgment.
- Preserve raw data, notebooks, configs, and model artifacts unless the user explicitly asks for mutation.
- Mark missing context as
unknown, not provided, or owner decision; do not invent it.
- Classify each blocker as
stop, fix-first, monitor, accepted risk, or owner decision.
- Use the output contract exactly unless the user asks for a different format.
- Keep final recommendations auditable: every important claim needs evidence, assumption, or caveat.
What This Skill Must Do
