Agent skill · Content & Marketing

launch-feedback-synthesizer

Use when the user asks to "triage launch feedback", "cluster reviews, comments, and board posts into themes", or "set up a you asked, we shipped loop"; produces a feedback theme digest (frequency, severity, representative quotes per theme), an open→planned→started→completed/declined status loop with duplicate-merge and notification rules, shipped-change announcement material, and a compliant social-proof harvest protocol (never incentivized store reviews). Not for repurposing or amplifying the harvested proof — use content-amplifier; not for executing testimonial outreach threads — use outreac

aaron-he-zhugithub.com/aaron-he-zhuGitHub ↗
claude-codeApache-2.0
Install
npx skills add aaron-he-zhu/aaron-marketing-skills --skill launch-feedback-synthesizer --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 1
SKILL.md size: 12 KB
Bundled scripts: none
Version: 19.1.0
Requires: Claude Code and compatible agent-skill hosts
Path: launch/prove/launch-feedback-synthesizer/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 2,508
Language: Python
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Launch Feedback Synthesizer Triages the feedback a launch generates — channel comments, store reviews, feedback-board posts, support tickets — into themes, runs each theme through a visible status loop, and turns shipped changes and happy users into compliant social proof. This is the feedback lever of the RAMP **Prove** phase: it feeds the `P` feedback-loop sub-item (themes, status transitions, requester notification) and the `P` social-proof-pipeline sub-item (no incentivized store reviews) of the [RAMP benchmark](../../../references/ramp-benchmark.md). It works one lever and hands off — [launch-readiness-auditor](../../mobilize/launch-readiness-auditor/SKILL.md) rolls the `P` dimension into the RAMP profile result; this skill never computes it. **Scope guard**: this skill triages feedback and specs the proof-harvest protocol only. It does **not** repurpose or amplify the harvested proof (that is [content-amplifier](../../../influencer/activate/content-amplifier/SKILL.md)), execute the testimonial outreach threads (that is [outreach-manager](../../../influencer/activate/outreach-manager/SKILL.md)), make product roadmap decisions (out of scope — it delivers a labeled theme diges

What's inside
Steps it walks through
  1. Quick Start
  2. Skill Contract
  3. Handoff Summary
  4. Data Sources
  5. Instructions
  6. Save Results
  7. Reference Materials
  8. Next Best Skill
More from aaron-marketing-skills
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About this skill
What does the launch-feedback-synthesizer skill do?

Use when the user asks to "triage launch feedback", "cluster reviews, comments, and board posts into themes", or "set up a you asked, we shipped loop"; produces a feedback theme digest (frequency, severity, representative quotes per theme), an open→planned→started→completed/declined status loop with duplicate-merge and notification rules, shipped-change announcement material, and a compliant social-proof harvest protocol (never incentivized store reviews). Not for repurposing or amplifying the harvested proof — use content-amplifier; not for executing testimonial outreach threads — use outreac

How do I install it?

Run `npx skills add aaron-he-zhu/aaron-marketing-skills --skill launch-feedback-synthesizer --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From aaron-he-zhu/aaron-marketing-skills, a repository with 2,508 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going