user-feedback-system

Builds feedback collection systems using Superhuman's PMF framework and YC's "talk to users" methodology. Use when implementing NPS surveys, scheduling user interviews, or measuring product-market fit.

Quality

75%

Does it follow best practices?

Impact

—

No eval scenarios have been run

Securityby

Passed

No known issues

Optimize this skill with Tessl

npx tessl skill review --optimize ./user-feedback-system/SKILL.md

Quality

Content

50%

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

This skill provides useful frameworks (Superhuman PMF, YC methodology) and templates for feedback collection, but lacks executable implementation details. The content is more of a conceptual guide than actionable instructions - it tells Claude what to build but not how to build it with specific code or commands.

Suggestions

Add executable code examples for implementing PMF/NPS surveys (e.g., database schema, API endpoints, or frontend components)

Include a clear step-by-step workflow for setting up a complete feedback system with validation checkpoints

Remove the 'When This Skill Activates' section and quotes - these don't add actionable value

Add concrete examples of how to analyze feedback data and make decisions based on the 40% threshold

Dimension	Reasoning	Score
Conciseness	Content is reasonably efficient but includes some unnecessary framing ('When This Skill Activates' section) and quotes that don't add actionable value. The core frameworks are concise but could be tighter.	2 / 3
Actionability	Provides templates and checklists which are helpful, but lacks executable code for implementing surveys or tracking systems. The guidance is structural rather than copy-paste ready implementation.	2 / 3
Workflow Clarity	Templates show what to collect but lack clear sequencing for implementation. No validation steps for verifying feedback systems work correctly or guidance on iterating based on results.	2 / 3
Progressive Disclosure	Content is reasonably organized with clear sections, but everything is inline in one file. For a skill of this scope, references to detailed implementation guides (e.g., NPS implementation, interview scripts) would improve navigation.	2 / 3
	Total	8 / 12 Passed

Description

100%

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

This is a well-crafted skill description that excels across all dimensions. It provides specific actions, references established methodologies (Superhuman PMF, YC), includes natural trigger terms users would actually say, and has an explicit 'Use when' clause with concrete scenarios. The description is distinctive enough to avoid conflicts with generic feedback or survey skills.

Dimension	Reasoning	Score
Specificity	Lists multiple specific concrete actions: 'Builds feedback collection systems', 'implementing NPS surveys', 'scheduling user interviews', 'measuring product-market fit'. References specific frameworks (Superhuman's PMF framework, YC's methodology).	3 / 3
Completeness	Clearly answers both what ('Builds feedback collection systems using Superhuman's PMF framework and YC's methodology') and when ('Use when implementing NPS surveys, scheduling user interviews, or measuring product-market fit') with explicit trigger guidance.	3 / 3
Trigger Term Quality	Includes natural keywords users would say: 'NPS surveys', 'user interviews', 'product-market fit', 'feedback collection'. These are terms practitioners commonly use when discussing customer research and PMF measurement.	3 / 3
Distinctiveness Conflict Risk	Highly distinctive with specific niche: PMF measurement, NPS surveys, user interviews. The combination of Superhuman/YC frameworks with specific feedback mechanisms creates clear differentiation from generic survey or analytics skills.	3 / 3
	Total	12 / 12 Passed

Validation

100%

Warnings & errors only

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation — 11 / 11 Passed

Validation for skill structure

No warnings or errors.

Repository: menkesu/awesome-pm-skills
Commit: 53530ef

Reviewed: 3 months ago

Table of Contents

Discovery Implementation Validation

Is this your skill?

If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.