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discovery-interview

Deep interview process to transform vague ideas into detailed specs. Works for technical and non-technical users.

49

1.23x
Quality

23%

Does it follow best practices?

Impact

96%

1.23x

Average score across 3 eval scenarios

SecuritybySnyk

Advisory

Suggest reviewing before use

Optimize this skill with Tessl

npx tessl skill review --optimize ./.claude/skills/discovery-interview/SKILL.md
SKILL.md
Quality
Evals
Security

Evaluation results

88%

36%

Expense Tracker Specification

Spec format and output location

Criteria
Without context
With context

Correct spec directory

0%

0%

Date-prefixed filename

100%

100%

Executive Summary section

60%

100%

Problem Statement section

40%

100%

Success Criteria section

100%

100%

User Personas section

40%

100%

User Journey section

20%

100%

P0/P1/P2 Functional Requirements

0%

100%

Data Model subsection

100%

100%

Security Model subsection

100%

100%

Non-Functional Requirements section

100%

100%

Out of Scope section

100%

100%

Appendix: Research Findings section

0%

100%

Open Questions section

0%

100%

100%

10%

Collaborative Workspace Tool Specification

Technology research loop and conflict resolution

Criteria
Without context
With context

Appendix: Research Findings exists

66%

100%

Multiple real-time options researched

100%

100%

Tradeoffs documented

100%

100%

Conflict identified

100%

100%

Reasoned technology recommendation

100%

100%

Scale conflict resolution

100%

100%

System Components section

100%

100%

Non-Functional Requirements with numbers

100%

100%

Security Model defined

100%

100%

Open Questions section

25%

100%

100%

8%

Customer Analytics Dashboard Specification

Completeness check and category coverage

Criteria
Without context
With context

Security Model with auth approach

100%

100%

Access control / authorization defined

100%

100%

Scale requirements with numbers

100%

100%

Deployment approach specified

100%

100%

Integrations section with Shopify detail

100%

100%

Success Criteria are measurable

37%

100%

User Personas with technical level

62%

100%

No TBD in core sections

100%

100%

Out of Scope explicitly defined

100%

100%

Data Model section present

100%

100%

Discovery notes show category coverage

100%

100%

Repository
parcadei/Continuous-Claude-v3
Evaluated
Agent
Claude Code
Model
Claude Sonnet 4.6

Table of Contents

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