ideation-feedback-analysis

ideation-feedback-analysis is a skill for Claude Code from PrendsTaPart/Plugin-Claude-MCP-BraindCode-. It costs 30 tokens per session (551 once invoked), scanned A, original, Apache-2.0.

A guide for collecting, grouping, and summarising early user feedback from reviews, support, surveys, and interviews.

In plain words
What is it for?
Use it to classify feedback about user experience, features, pricing, or support, measure recurring patterns, and choose actions by impact and effort.
Why use it?
It helps turn scattered comments into recurring themes and a prioritised improvement plan.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the rapido-forge plugin — 109 skills, 4 agents shipped together

Good fit Use it to classify feedback about user experience, features, pricing, or support, measure recurring patterns, and choose actions by impact and effort.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/prendstapart/plugin-claude-mcp-braindcode-/ideation-feedback-analysis
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add PrendsTaPart/Plugin-Claude-MCP-BraindCode- --skill ideation-feedback-analysis
Clone the repo
git clone --depth 1 https://github.com/PrendsTaPart/Plugin-Claude-MCP-BraindCode-

Made for: Claude Code.

Or install rapido-forge, the plugin that ships this one along with the rest of its 109 skills, 4 agents.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for ideation-feedback-analysis

README.md
[![agentmods](https://agentmods.dev/badge/skills/prendstapart/plugin-claude-mcp-braindcode-/ideation-feedback-analysis/github.svg)](https://agentmods.dev/skills/prendstapart/plugin-claude-mcp-braindcode-/ideation-feedback-analysis)
Your own site
<a href="https://agentmods.dev/skills/prendstapart/plugin-claude-mcp-braindcode-/ideation-feedback-analysis"><img src="https://agentmods.dev/badge/skills/prendstapart/plugin-claude-mcp-braindcode-/ideation-feedback-analysis/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for ideation-feedback-analysis

Your own site · 80×15
<a href="https://agentmods.dev/skills/prendstapart/plugin-claude-mcp-braindcode-/ideation-feedback-analysis"><img src="https://agentmods.dev/badge/skills/prendstapart/plugin-claude-mcp-braindcode-/ideation-feedback-analysis.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 30 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 551 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00030 $0.00551
Opus 5.5 $0.00012 $0.00220
Sonnet 5.5 $0.00006 $0.00110
Haiku 4.5 $0.00003 $0.00055

Measured 1mo ago against content hash 108a7f74e470, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

ideation-feedback-analysis scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

rapido-forge/skills/ideation-feedback-analysis/SKILL.md · 69 lines

What it actually says

Feedback Analysis

Catégorie : Idéation
Durée : 45-60 min

Pourquoi

Les premiers feedbacks sont une mine d'or pour améliorer ton produit. Chaque critique est une opportunité d'amélioration.

Objectif

Analyser et synthétiser les premiers retours utilisateurs.

Livrable attendu

Rapport feedback + plan d'action

Étape 0 — Contexte (obligatoire)

Charger ./rapido-kb/ — surtout ./rapido-kb/startup/ (vision, persona, offre, hypothèses construits par dossier-startup-360 et interview-business-plan). La KB PRIME : ne jamais redemander une information déjà validée, la reformuler pour confirmation. Les chiffres réels viennent des MCP — jamais de mémoire ; tout chiffre sans source datée porte la mention « hypothèse fondateur, confiance faible ».

Étapes

  1. Collecter les feedbacks — Reviews, support, NPS, interviews
  2. Catégoriser par thème — UX, features, prix, support
  3. Quantifier les patterns — Fréquence de chaque feedback
  4. Prioriser les actions — Impact × Effort
  5. Communiquer les changes — Changelog public

Pro tips

  • Les plaintes sont des cadeaux
  • Recontacte les utilisateurs mécontents après amélioration
  • Fais du feedback loop un process régulier

Erreurs fréquentes

  • Ignorer les critiques négatives
  • Réagir à chaque feedback individuel
  • Pas de suivi après les changements

Données & serveurs MCP

  • RapidoCRM (rapidocrm) — données réelles, lecture d'abord

Livrable — toujours dans la KB du client

Écrire le livrable daté dans ./rapido-kb/startup/forge/ideation/ideation-feedback-analysis.md (le dossier du client, dans SON répertoire de travail — jamais dans le plugin). Si des chiffres clés en sortent, proposer de mettre à jour ./rapido-kb/startup/business-plan/hypotheses.md (source + date).

Voir aussi (skills plus riches du marketplace)

  • rapido-forge:scale-nps-survey — mesure NPS structurée
Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 1mo ago First seen · 69 lines · 30 tokens per session scan A 108a7f74e470

Subscribe to this mod's changes

ideation-feedback-analysis is a skill published in the GitHub repository PrendsTaPart/Plugin-Claude-MCP-BraindCode- (8 stars, last pushed 6d ago), licensed Apache-2.0. It adds 30 tokens to every session and 551 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.