Review Management
ericrisco/rsc-harness
A skill your agent uses when a public review needs an on-voice reply, when you need to earn more reviews legally, or when an aggregate rating is slipping across Google Business Profile, Trustpilot…
Feedback synthesis — cluster support tickets, NPS verbatims, app store reviews, and churn surveys by theme, separate signal from noise, and produce an actionable insight report.
Install Echo Feedback
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill echo-feedback -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace echo-feedback --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/ai-agency/tonone/skills/echo-feedback .claude/skills/echo-feedback && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "echo-feedback" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/plugins/ai-agency/tonone/skills/echo-feedback into .claude/skills/echo-feedback/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "echo-feedback", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/plugins/ai-agency/tonone/skills/echo-feedbackType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill echo-feedback -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace echo-feedback --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .agents/skills && cp -r skills-src/plugins/ai-agency/tonone/skills/echo-feedback .agents/skills/echo-feedback && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "echo-feedback" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/plugins/ai-agency/tonone/skills/echo-feedback into .agents/skills/echo-feedback/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "echo-feedback", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill echo-feedback -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace echo-feedback --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/plugins/ai-agency/tonone/skills/echo-feedback .cursor/skills/echo-feedback && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "echo-feedback" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/plugins/ai-agency/tonone/skills/echo-feedback into .cursor/skills/echo-feedback/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "echo-feedback", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/jeremylongshore/tons-of-skills-marketplace.git --path plugins/ai-agency/tonone/skills/echo-feedback--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill echo-feedback -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace echo-feedback --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/plugins/ai-agency/tonone/skills/echo-feedback .gemini/skills/echo-feedback && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "echo-feedback" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/plugins/ai-agency/tonone/skills/echo-feedback into .gemini/skills/echo-feedback/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "echo-feedback", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install jeremylongshore/tons-of-skills-marketplace echo-feedbackInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill echo-feedback -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .github/skills && cp -r skills-src/plugins/ai-agency/tonone/skills/echo-feedback .github/skills/echo-feedback && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "echo-feedback" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/plugins/ai-agency/tonone/skills/echo-feedback into .github/skills/echo-feedback/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "echo-feedback", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill echo-feedback -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace echo-feedback --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/plugins/ai-agency/tonone/skills/echo-feedback .opencode/skills/echo-feedback && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "echo-feedback" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/plugins/ai-agency/tonone/skills/echo-feedback into .opencode/skills/echo-feedback/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "echo-feedback", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
echo-feedback- GitHub stars
- 2.8k
- Token cost
- ~1.2k tokens
- SKILL.md length
- 380 words
- Files
- 2
- Skills in repo
- 3,342
- Repo updated
- First seen
- Licence
- MIT
At a glance
Feedback synthesis — cluster support tickets, NPS verbatims, app store reviews, and churn surveys by theme, separate signal from noise, and produce an actionable insight report.
- Works in 6 steps: Collect the Raw Feedback → Classify by Sentiment and Source → Cluster by Theme → …
- Asked to synthesize this feedback
- SKILL.md covers Steps and Delivery
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Echo Feedback is an agent skill from jeremylongshore/tons-of-skills-marketplace. Feedback synthesis — cluster support tickets, NPS verbatims, app store reviews, and churn surveys by theme, separate signal from noise, and produce an actionable insight report. Use when asked to "synthesize this feedback", "analyze support tickets", "what are users complaining about", "NPS analysis", "churn feedback synthesis", or "what's the feedback telling us".
Its SKILL.md is about 1.2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files (for example `.claude-plugin/plugin.json`).
It sits in Sales & Support, covering Customer feedback analysis, Customer support and App store release. The repository describes itself as: Model-agnostic agent-skills platform with a harness-free canonical layer, verified adapters, and the ccpi package manager. Explore at tonsofskills.com. The licence is MIT.
When your agent uses it
- Asked to synthesize this feedback
- Analyze support tickets
- What are users complaining about
- Churn feedback synthesis
Example prompts
- “synthesize this feedback”
- “analyze support tickets”
- “what are users complaining about”
- “/echo-feedback”
Requirements
- Pre-approved tools (allowed-tools): Read, Write, Edit, Bash, Glob, Grep, WebFetch, WebSearch, Task, TodoWrite, AskUserQuestion
Workflow steps
6 steps, taken from the step headings in SKILL.md.
What it can do on your machine
Read from SKILL.md and the folder at commit 80f86df. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves these tools, so the agent can use them without asking each time:
ReadWriteEditBashGlobGrepWebFetchWebSearchTaskTodoWrite
…and 1 more on the same allowed-tools line.
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Echo Feedback loads about 1.2k tokens when it runs. Until then it costs about 95 tokens; SKILL.md has 380 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check: notes
The automated check noted patterns worth knowing about, such as sudo or a known installer.
- NotePre-approves every shell command (allowed-tools: Bash)SKILL.md
allowed-tools: Read, Write, Edit, Bash, Glob, Grep, WebFetch, WebSearch, Task, TodoWrite, AskUserQuestion
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
The full file from jeremylongshore/tons-of-skills-marketplace at commit 80f86df, republished under its MIT licence (© jeremylongshore). 380 words, ~1,174 tokens.
Download SKILL.mdSave it as
.claude/skills/echo-feedback/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.- name
- echo-feedback
- description
- Feedback synthesis — cluster support tickets, NPS verbatims, app store reviews, and churn surveys by theme, separate signal from noise, and produce an actionable insight report. Use when asked to "synthesize this feedback", "analyze support tickets", "what are users complaining about", "NPS analysis", "churn feedback synthesis", or "what's the feedback telling us".
- allowed-tools
- Read, Write, Edit, Bash, Glob, Grep, WebFetch, WebSearch, Task, TodoWrite, AskUserQuestion
- version
- 0.6.4
- author
- tonone-ai <hello@tonone.ai>
- license
- MIT
Feedback Synthesis
You are Echo — the user researcher on the Product Team. Turn raw feedback into decisions.
Follow the output format defined in docs/output-kit.md — 40-line CLI max, box-drawing skeleton, unified severity indicators, compressed prose.
Steps
Step 1: Collect the Raw Feedback
Accept any of the following as input:
- Support ticket export (CSV, text dump, or summary)
- NPS survey verbatims (with scores)
- App store reviews (iOS / Android / G2 / Capterra)
- Churn survey responses
- User interviews or call notes
- Social media mentions or community posts
Ask for feedback if not provided. Minimum viable input: 20+ items for meaningful clustering.
Step 2: Classify by Sentiment and Source
For each feedback item:
| Field | Options |
|---|---|
| Sentiment | Positive / Neutral / Negative |
| Source | Support / NPS / App store / Churn / Interview / Social |
| NPS score | 0-10 (if available) |
Note overall sentiment distribution. If 70%+ is negative, flag that as a finding before clustering.
Step 3: Cluster by Theme
Group all feedback items into 5-10 themes. Common themes:
- Performance / reliability — slow, crashes, errors, downtime
- Missing feature — "I wish it could...", "Why can't I..."
- Onboarding / confusion — hard to get started, documentation gaps
- Pricing / value — too expensive, not worth the cost, billing issues
- UX / workflow — clunky, too many clicks, hard to find things
- Integration / compatibility — doesn't work with [tool], import/export issues
- Support quality — slow responses, unhelpful answers
- Positive: key delight — what users love and would miss
For each theme, note:
- Count — how many items fall in this theme
- % of total — how prominent is this theme?
- Representative quotes — 2-3 verbatim quotes that best capture the theme
Show full SKILL.md (130 more words)Show less
Step 4: Separate Signal from Noise
Apply these filters to identify high-signal feedback:
Amplify signal from:
- Power users (high usage, long tenure) — they understand the product
- Churned users (churn surveys) — they were pushed to leave
- NPS detractors (0-6) who gave detailed verbatims
- Repeated complaints (same issue from 5+ users)
Discount noise from:
- One-off feature requests with no pattern
- Complaints about discontinued or deprecated features
- Feedback that contradicts 5+ other data points without explanation
Step 5: Identify Actionable Insights
For each significant theme, write an insight:
Theme: [theme name]
Volume: [N] items ([%] of total)
Sentiment: [Negative / Positive / Mixed]
Finding: [1-2 sentence synthesis of what the feedback reveals]
Evidence: "[quote 1]" — [source]
"[quote 2]" — [source]
Implication: [what the product team should do with this — investigate, fix, invest, or monitor]
Priority: [Critical / Important / Backlog]Step 6: Present Synthesis Report
## Feedback Synthesis
**Input:** [N] items across [sources] | **Period:** [date range]
**Sentiment split:** [%] positive / [%] neutral / [%] negative
### Theme Breakdown
| Theme | Volume | Sentiment | Priority |
|----------------|--------|-----------|----------|
| [theme] | [N] ([%]) | Negative | Critical |
| [theme] | [N] ([%]) | Positive | Invest |
| [theme] | [N] ([%]) | Mixed | Monitor |
### Top Insight
[Finding] — [Implication]
### What Users Love (Protect This)
[Theme with highest positive sentiment — do not degrade this in future changes]
### Critical Fix Needed
[Theme with highest negative volume and severity]
### Patterns Worth Investigating
[Themes where the signal is interesting but unclear — need more data]Delivery
If output exceeds the 40-line CLI budget, invoke /atlas-report with the full findings. The HTML report is the output. CLI is the receipt — box header, one-line verdict, top 3 findings, and the report path. Never dump analysis to CLI.
© jeremylongshore, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 1 other file in plugins/ai-agency/tonone/skills/echo-feedback of jeremylongshore/tons-of-skills-marketplace.
- SKILL.md
- .claude-plugin/plugin.json
Open the folder on GitHubat commit 80f86df
Compare with similar skills
Echo Feedback next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Echo Feedback this skilljeremylongshore/tons-of-skills-marketplace | 2.8k | — | ~1.2k | Automated safety check: Notes | MIT | |
| Review Managementericrisco/rsc-harness | 174 | — | ~2.9k | Automated safety check: Pass | MIT | |
| Review Managementappeeky/aso-skills | 2.2k | — | ~1.5k | Automated safety check: Pass | MIT | |
| Customer Supportaiskillstore/marketplace | 430 | 7 repos | ~2.2k | Automated safety check: Pass | None | |
| Afa Cxafadtc/afa-dtc-skills | 168 | — | ~2.4k | Automated safety check: Pass | Custom licence | |
| User Feedback Aggregationrampstackco/claude-skills | 941 | — | ~5.2k | Automated safety check: Pass | MIT |
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Categories
Questions about Echo Feedback
What does Echo Feedback do?
Feedback synthesis — cluster support tickets, NPS verbatims, app store reviews, and churn surveys by theme, separate signal from noise, and produce an actionable insight report. Echo Feedback is an agent skill from jeremylongshore/tons-of-skills-marketplace. Feedback synthesis — cluster support tickets, NPS verbatims, app store reviews, and churn surveys by theme, separate signal from noise, and produce an actionable insight report.
When should I use Echo Feedback?
Echo Feedback fits situations like: asked to synthesize this feedback; analyze support tickets; what are users complaining about; churn feedback synthesis.
How do I install Echo Feedback in Claude Code?
Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill echo-feedback -a claude-code`. Or copy the skill folder (plugins/ai-agency/tonone/skills/echo-feedback in jeremylongshore/tons-of-skills-marketplace) into .claude/skills/echo-feedback in your project. Claude Code loads it when a task matches its description.
How do I install Echo Feedback in Codex?
Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill echo-feedback -a codex`. Or copy the skill folder (plugins/ai-agency/tonone/skills/echo-feedback in jeremylongshore/tons-of-skills-marketplace) into .agents/skills/echo-feedback in your project. Codex loads it when a task matches its description.
Can I use Echo Feedback in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill echo-feedback -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/echo-feedback, .gemini/skills/echo-feedback, .github/skills/echo-feedback and .opencode/skills/echo-feedback in your project.
What does Echo Feedback need to run?
SKILL.md names no scripts, command-line tools or credentials: Echo Feedback is instructions for the agent only. Its frontmatter pre-approves these tools: Read, Write, Edit, Bash, Glob, Grep, WebFetch, WebSearch, Task, TodoWrite, AskUserQuestion.
Does Echo Feedback access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Echo Feedback safe to install?
Our automated static check of SKILL.md found notes only (pre-approves every shell command (allowed-tools: bash)), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.
What licence does Echo Feedback use?
Echo Feedback is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Echo Feedback use?
About 1.2k tokens (SKILL.md is roughly 4.7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Echo Feedback?
Skills that share tags, products or a category with Echo Feedback: Review Management (ericrisco/rsc-harness, 174 stars), Review Management (appeeky/aso-skills, 2.2k stars), Customer Support (aiskillstore/marketplace, 430 stars) and Afa Cx (afadtc/afa-dtc-skills, 168 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Echo Feedback?
jeremylongshore (a GitHub user) maintains it in jeremylongshore/tons-of-skills-marketplace, which has 2,825 GitHub stars. The repository holds 3,342 skills in this directory. The repository was last updated on October 9, 2026.
Source: jeremylongshore/tons-of-skills-marketplace on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.