customer-review-aggregator

Aggregate and analyze customer reviews from G2, Capterra, Trustpilot, App Store, and other platforms. Performs sentiment analysis, identifies pain points, extracts feature feedback, generates marketing claims, and compares competitor reviews. Use when users need review analysis, competitive intelligence, or customer feedback insights.

Aller à l'installation

Dépôt: OneWave-AI/claude-skills
Dernière activité de la source: 8 juin 2026 à 01:17
Langue détectée de SKILL.md: anglais
Étoiles: 256
Forks: 42

Options d'installation

Le prompt qui vérifie d'abord la source est sélectionné par défaut. Vous pouvez passer à une commande directe ou télécharger une copie locale.

Installer avec Codex ou Claude Copiez ce prompt, collez-le dans Codex, Claude ou un autre assistant, puis laissez-le vérifier la page du skill et l'installer pour vous.

Une commande directe contourne le prompt de vérification. Examinez la source avant de l'exécuter.

npx skills add https://github.com/OneWave-AI/claude-skills --skill customer-review-aggregator

La commande reste sur une seule ligne. Faites défiler horizontalement pour la vérifier avant de la copier.

Vous préférez une copie locale ? Téléchargez les fichiers actuellement disponibles dans SkillsMP.

Vérifiez les fichiers source

Lisez SKILL.md et les fichiers associés affichés par SkillsMP avant de décider de l'installer.

Explorateur de fichiers

4 fichiers

SKILL.md

Instructions source · Aperçu en lecture seule

Retour à la recherche Retour à l’installation

design-export-repair

Fixes broken decks/PDFs exported from Claude's "Design" feature (or similar AI deck generators) — cut-off or clipped text, wrong/substituted fonts, and corrupted .pptx package structure that shows up only once you export to PDF, not while looking at it in the app. Use this skill whenever the user uploads a zip, .pptx, or .pdf exported from Claude Design (or mentions "Design" export, an AI-generated deck, or a generated slide deck/PDF) AND reports it looking broken, wrong, cut off, garbled, or different from the original when opened, printed, or converted to PDF — even if they don't use the word "repair" or name the specific defect. Also trigger for general "my exported PDF/deck is broken, help fix it" requests when the file was clearly produced by an AI design/deck tool rather than hand-authored. Produces both a repaired, still-editable .pptx and a clean PDF, plus a report of exactly what was wrong and what changed.

2026-08-10

cash-flow-forecaster

Build a 13-week rolling cash flow forecast from bank exports, AR aging, AP bills, payroll, and recurring commitments -- the report that tells a small business whether it survives the quarter. Flags the crunch weeks early enough to act.

2026-07-15

commercial-lease-analyzer

Decode a commercial lease before signing or renewing -- true all-in occupancy cost (base rent plus NNN/CAM plus escalations), the clauses that hurt small tenants (personal guarantees, relocation, restoration), and the negotiation asks landlords routinely grant. The lease is most SMBs' biggest fixed cost and least-read document.

2026-07-15

Tout voir dans ce dépôt

Customer Review Aggregator & Analyzer

Pull reviews from multiple platforms and extract actionable insights with sentiment analysis, pain-point detection, marketing-claim extraction, and competitor comparison.

Contents

references/sources.md - supported platforms and sentiment dimensions

references/intake-prompts.md - scope and data-collection prompts, example use cases

references/output-templates.md - report templates for every analysis type

Workflow

Define scope. Present the scope prompt from references/intake-prompts.md to capture product, platforms, competitors, analysis focus, and time period.

Gather review data. Offer the three data-collection methods (paste, CSV upload, URLs via WebFetch) from references/intake-prompts.md and collect the reviews.

Analyze sentiment. Score overall sentiment and feature-level sentiment using the dimensions in references/sources.md.

Identify pain points. Cluster negative feedback by theme, rank by frequency, and assign impact plus a recommendation.

Extract marketing claims. Derive evidence-backed claims from positive reviews, each with supporting quotes, a confidence level, and a use case.

Compare competitors. When competitors are provided, build the side-by-side comparison and surface weaknesses to exploit.

Analyze feature requests. Rank requested features by mention count, urgency, and competitor coverage.

Assemble the report. Populate the full analysis report and offer deliverable formats.

For all output formats and tables, see references/output-templates.md.

name	customer-review-aggregator
description	Aggregate and analyze customer reviews from G2, Capterra, Trustpilot, App Store, and other platforms. Performs sentiment analysis, identifies pain points, extracts feature feedback, generates marketing claims, and compares competitor reviews. Use when users need review analysis, competitive intelligence, or customer feedback insights.