Files
magnus919_agent-skills/product-discovery/README.md
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Magnus Hedemark 738ec715e7 Add human-focused README.md to every skill and bundle directory
Each README is written for a human audience, explaining:
- What the skill does (not what format it follows)
- What benefit the user gets from installing it
- Quick setup and usage patterns
- When to load/trigger the skill
- What scripts, references, and templates it ships

data-scientist already had a README — left unchanged.

48 READMEs added across all skill and bundle directories.
2026-07-09 22:30:12 -04:00

1.6 KiB

Product Discovery — Discover Requirements from Stakeholders

Discover product requirements from human stakeholders — map who to talk to, ask questions that surface hidden assumptions, detect gaps in real time, resolve conflicts, and translate conversations into structured specs.

Why Install This Skill

When your agent loads this skill, it becomes a product discovery specialist — Phase 0 upstream of any spec-driven development pipeline. That means:

  • Map stakeholders — identify who to interview and in what order
  • Design question stacks — open questions that discover, not closed questions that validate
  • Detect hidden gaps — recognize what stakeholders aren't saying
  • Resolve conflicts — surface unstated differences in assumptions, risk tolerance, or incentives
  • Distill into specs — convert raw interview notes into structured spec input
  • Handle AI-conducted discovery — account for sycophancy and trust dynamics

What You Get

Directory Purpose
SKILL.md Pipeline overview, entry point table, core principles
references/ 8 reference files: stakeholder mapping, question patterns, gap detection, conflict resolution, transcript-to-spec, AI-conducted discovery, power dynamics, time-constrained discovery
templates/ 5 templates: discovery plan, interview guide, distillation worksheet, gap register, interpretation log

Triggers

Load this when starting product discovery, needing to interview stakeholders, or preparing for the SDD SPECIFY phase.

Requirements

None. Agent-agnostic — works with any spec-driven or requirements pipeline.