CtrlK
BlogDocsLog inGet started
Tessl Logo
SkillPublic

user-feedback-synthesizer

Analyze collections of user feedback to identify patterns and themes. Use when you have user feedback from multiple sources that needs synthesis.

Quality

65%

Does it follow best practices?

Run evals on this skill

Adds up to 20 points to the overall score

View guide
SecuritybySnyk

Low

Low-risk findings worth noting

Fix and improve this skill with Tessl

tessl review fix ./.agents/skills/user-feedback-synthesizer/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

53%Weight 40%Scale 1-5

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

A compact, readable skill with a sensible step sequence, but it reads like a reused prompt template more than engineered guidance: fluff framing, a '[paste feedback here]' placeholder, and no methodology, severity definitions, or output format behind the five high-level steps. Verification steps for batch feedback analysis are entirely absent.

Suggestions

Delete the 'Domain Context' fluff ('proven framework', 'best practices from industry leaders') and merge 'Input Requirements' and 'Best Practices' into one section; move the H1 title to the top so no sections precede it.

Define the analysis contract concretely: a severity scale (e.g., blocker/major/minor), a structured output format (theme, supporting quotes, frequency, severity, recommendation, effort), and how frequency should be counted across sources.

Add a validation step to the workflow, e.g., 'verify each theme is backed by at least N distinct user quotes and re-check counts before prioritizing', so batch analysis has a feedback loop.

Replace the '[paste feedback here]' prompt placeholder with guidance on how the feedback data will be supplied (argument, file, or conversation) since the skill declares an argument-hint.

DimensionReasoningScore

Conciseness

"This skill implements a proven product management framework. The approach combines best practices from industry leaders" is marketing fluff that adds no guidance, and "Act as a user research expert" is persona padding Claude doesn't need. The rest is reasonably lean, so this sits at 'mostly efficient but includes some unnecessary explanation' rather than the clearly verbose 2 or the trim 4.

3 / 5

Actionability

The five numbered steps (cluster into themes, identify severity, suggest solutions, prioritize by impact/frequency, highlight quick wins) plus the concrete input/output example give real shape to the task. But key details are missing: no severity scale, no output format or template, and no method for clustering or counting frequency — 'some concrete guidance but incomplete' rather than the mostly-executable 4.

3 / 5

Workflow Clarity

The five steps form a coherent sequence, but there are no validation checkpoints anywhere (e.g., verify each theme is supported by multiple quotes, or confirm counts before prioritizing). Per the batch-operation guidance, batch analysis of feedback collections without any verification step caps workflow clarity at 3.

3 / 5

Progressive Disclosure

The skill is under 50 lines with no bundle files, and sections are labeled and scannable. However, organization has gaps: "Domain Context" and "Input Requirements" appear before the H1 title, "When to Use" duplicates the frontmatter description, and "Input Requirements"/"Best Practices" overlap — 'good structure, minor organization gaps' rather than the well-organized 5.

4 / 5

Total

13

/

20

Passed

Description

62%Weight 40%Scale 1-5

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

A solid description that follows the what + 'Use when...' pattern and occupies a clear niche. Its main weaknesses are limited action specificity and thin trigger-term coverage — no mention of the concrete feedback sources (surveys, tickets, interviews) the skill body itself targets.

Suggestions

List the concrete actions the skill performs (e.g., cluster feedback into themes, rate severity, prioritize by impact and frequency) instead of the generic 'analyze' and 'identify patterns'.

Add natural trigger terms for common feedback sources, e.g. 'Use when synthesizing survey responses, support tickets, app reviews, or interview transcripts'.

DimensionReasoningScore

Specificity

"Analyze collections of user feedback to identify patterns and themes" names the domain plus two actions (analyze, identify patterns/themes), matching the '1-2 concrete actions, but not comprehensive' anchor. It does not list several specific actions (no clustering, severity rating, or prioritization verbs) needed for a 4.

3 / 5

Completeness

Both parts are present: the what ("identify patterns and themes") and an explicit when ("Use when you have user feedback from multiple sources that needs synthesis"). The when-clause largely restates the what rather than adding concrete trigger phrases, so it matches anchor 4 ('when could be more explicit or specific') rather than 5.

4 / 5

Trigger Term Quality

"user feedback" and "needs synthesis" are natural phrases users would say, but coverage stops there — common source variations like surveys, support tickets, interviews, reviews, or complaints are all missing. This is 'some relevant keywords but missing common variations', not the 'good keyword coverage' of a 4.

3 / 5

Distinctiveness Conflict Risk

"user feedback from multiple sources that needs synthesis" carves out a fairly distinct niche with low conflict risk against document- or code-focused skills; only minor overlap with general research/data-analysis skills. Not a 5 since the triggers are not uniquely distinguishing within the research-analysis space.

4 / 5

Total

14

/

20

Passed

Validation

93%

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

Validation — 15 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

frontmatter_unknown_keys

Unknown frontmatter key(s) found; consider removing or moving to metadata

Warning

Total

15

/

16

Passed

Repository

saski/arnesto

Path

.agents/skills/user-feedback-synthesizer/SKILL.md

Reviewed

Table of Contents

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.