Marketing Campaign
affaan-m/ECC
End-to-end marketing campaign planning and execution. An agent skill from affaan-m/ECC.
Mine comments and replies on social posts, videos, and ads for recurring customer language, questions, objections, desired outcomes, complaints, product requests, purchase signals, and creative…
Install Comment Mining
$ npx skills add gooseworks-ai/goose-skills --skill comment-mining -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install gooseworks-ai/goose-skills comment-mining --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/gooseworks-ai/goose-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/social/composites/comment-mining .claude/skills/comment-mining && 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 "comment-mining" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/social/composites/comment-mining into .claude/skills/comment-mining/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "comment-mining", 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/gooseworks-ai/goose-skills/tree/main/skills/social/composites/comment-miningType 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 gooseworks-ai/goose-skills --skill comment-mining -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install gooseworks-ai/goose-skills comment-mining --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/gooseworks-ai/goose-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/social/composites/comment-mining .agents/skills/comment-mining && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "comment-mining" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/social/composites/comment-mining into .agents/skills/comment-mining/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "comment-mining", 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 gooseworks-ai/goose-skills --skill comment-mining -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install gooseworks-ai/goose-skills comment-mining --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/gooseworks-ai/goose-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/social/composites/comment-mining .cursor/skills/comment-mining && 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 "comment-mining" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/social/composites/comment-mining into .cursor/skills/comment-mining/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "comment-mining", 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/gooseworks-ai/goose-skills.git --path skills/social/composites/comment-mining--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 gooseworks-ai/goose-skills --skill comment-mining -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install gooseworks-ai/goose-skills comment-mining --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/gooseworks-ai/goose-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/social/composites/comment-mining .gemini/skills/comment-mining && 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 "comment-mining" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/social/composites/comment-mining into .gemini/skills/comment-mining/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "comment-mining", 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 gooseworks-ai/goose-skills comment-miningInstalls 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 gooseworks-ai/goose-skills --skill comment-mining -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/gooseworks-ai/goose-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/social/composites/comment-mining .github/skills/comment-mining && 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 "comment-mining" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/social/composites/comment-mining into .github/skills/comment-mining/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "comment-mining", 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 gooseworks-ai/goose-skills --skill comment-mining -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install gooseworks-ai/goose-skills comment-mining --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/gooseworks-ai/goose-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/social/composites/comment-mining .opencode/skills/comment-mining && 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 "comment-mining" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/social/composites/comment-mining into .opencode/skills/comment-mining/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "comment-mining", 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
comment-mining- GitHub stars
- 1.2k
- Token cost
- ~541 tokens
- SKILL.md length
- 242 words
- Files
- 2
- Skills in repo
- 273
- Repo updated
- First seen
- Licence
- MIT
At a glance
Mine comments and replies on social posts, videos, and ads for recurring customer language, questions, objections, desired outcomes, complaints, product requests, purchase signals, and creative…
- Works in 7 steps: Use scrapecreators-api to collect post… → Preserve parent-and-reply context where… → Code each useful comment into one or… → …
- Voice-of-customer research grounded in linked source evidence
- SKILL.md covers Inputs, Workflow and Output
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Comment Mining is an agent skill from gooseworks-ai/goose-skills. Mine comments and replies on social posts, videos, and ads for recurring customer language, questions, objections, desired outcomes, complaints, product requests, purchase signals, and creative opportunities. Use for voice-of-customer research grounded in linked source evidence.
Its SKILL.md is about 540 tokens, which your agent loads only when the skill is triggered. The skill folder holds 1 other file (for example `skill.meta.json`).
It sits in Marketing & SEO, covering Social media posts and Market research. The repository describes itself as: Library of Growth & GTM skills + data APIs for Claude Code, Codex, Cursor to run ads, social, content, lead gen, seo and data scraping. The licence is MIT.
When your agent uses it
- Voice-of-customer research grounded in linked source evidence
- Tasks that involve Social media posts
- Tasks that involve Market research
Example prompts
- “/comment-mining”
Workflow steps
7 steps, taken from the first numbered list in SKILL.md.
- Use scrapecreators-api to collect post context, top-level comments, and replies from the relevant platforms. Sample across multiple posts…
- Preserve parent-and-reply context where it changes meaning. Remove obvious spam, duplicate comments, tag-only replies, and giveaways…
- Code each useful comment into one or more buckets: pain, desired outcome, objection, question, comparison, use case, purchase intent…
- Mark buying-intent strength separately: curiosity, consideration, price or availability question, comparison, stated purchase, repeat use…
- Cluster semantically similar statements while retaining representative wording, the post context, and source links.
- Report prevalence as sample counts by platform and source type, not market-wide percentages.
- Convert the strongest clusters into testable messages, hooks, FAQ topics, product questions, or research follow-ups.
What it can do on your machine
Read from SKILL.md and the folder at commit c650c6d. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
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
Comment Mining loads about 541 tokens when it runs. Until then it costs about 74 tokens; SKILL.md has 242 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 passed
The automated check found no risky patterns in SKILL.md.
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 gooseworks-ai/goose-skills at commit c650c6d, republished under its MIT licence (© gooseworks-ai). 242 words, ~541 tokens.
Download SKILL.mdSave it as
.claude/skills/comment-mining/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.- name
- comment-mining
- description
- Mine comments and replies on social posts, videos, and ads for recurring customer language, questions, objections, desired outcomes, complaints, product requests, purchase signals, and creative opportunities. Use for voice-of-customer research grounded in linked source evidence.
Comment Mining
Turn public comment threads into evidence a growth team can use.
Inputs
- Brand/product and research question.
- Post, reel, video, or ad URLs; or creators/competitors to sample.
- Target market, platforms, time window, and desired sample size.
Workflow
- Use
scrapecreators-apito collect post context, top-level comments, and replies from the relevant platforms. Sample across multiple posts and creators instead of overfitting to one viral thread. - Preserve parent-and-reply context where it changes meaning. Remove obvious spam, duplicate comments, tag-only replies, and giveaways unless they are the subject of the study.
- Code each useful comment into one or more buckets: pain, desired outcome, objection, question, comparison, use case, purchase intent, product request, workaround, delight, complaint, churn risk, or exact product language.
- Mark buying-intent strength separately: curiosity, consideration, price or availability question, comparison, stated purchase, repeat use, and recommendation.
- Cluster semantically similar statements while retaining representative wording, the post context, and source links.
- Report prevalence as sample counts by platform and source type, not market-wide percentages.
- Convert the strongest clusters into testable messages, hooks, FAQ topics, product questions, or research follow-ups.
Output
- Coverage and sampling method.
- Ranked theme table with top-level and reply counts, representative language, source links, and confidence.
- Objection and question bank.
- Purchase, product-request, workaround, and churn signals.
- Recommended next tests for creative, landing pages, content, or product research.
- Limitations and gaps.
Never expose private information, infer sensitive traits, or claim the sample represents all customers.
© gooseworks-ai, 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 skills/social/composites/comment-mining of gooseworks-ai/goose-skills.
- SKILL.md
- skill.meta.json
Open the folder on GitHubat commit c650c6d
Compare with similar skills
Comment Mining 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 |
|---|---|---|---|---|---|---|
| Comment Mining this skillgooseworks-ai/goose-skills | 1.2k | — | ~541 | Automated safety check: Pass | MIT | |
| Marketing Campaignaffaan-m/ECC | 276k | 1 repos | ~1.3k | Automated safety check: Pass | MIT | |
| Comment MiningScrapeCreators/social-media-research-skills | 3.4k | — | ~1k | Automated safety check: Notes | MIT | |
| Product Demand ResearchScrapeCreators/social-media-research-skills | 3.4k | — | ~636 | Automated safety check: Notes | MIT | |
| Social Proof And Testimonialssocial-media-skills/skills | 128 | — | ~1.9k | Automated safety check: Pass | MIT | |
| Canghe Post To Xfreestylefly/canghe-skills | 461 | 4 repos | ~1.7k | Automated safety check: Warn | None |
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Related
Categories
Questions about Comment Mining
What does Comment Mining do?
Mine comments and replies on social posts, videos, and ads for recurring customer language, questions, objections, desired outcomes, complaints, product requests, purchase signals, and creative…. Comment Mining is an agent skill from gooseworks-ai/goose-skills. Mine comments and replies on social posts, videos, and ads for recurring customer language, questions, objections, desired outcomes, complaints, product requests, purchase signals, and creative opportunities.
When should I use Comment Mining?
Comment Mining fits situations like: voice-of-customer research grounded in linked source evidence; tasks that involve Social media posts; tasks that involve Market research.
How do I install Comment Mining in Claude Code?
Run `npx skills add gooseworks-ai/goose-skills --skill comment-mining -a claude-code`. Or copy the skill folder (skills/social/composites/comment-mining in gooseworks-ai/goose-skills) into .claude/skills/comment-mining in your project. Claude Code loads it when a task matches its description.
How do I install Comment Mining in Codex?
Run `npx skills add gooseworks-ai/goose-skills --skill comment-mining -a codex`. Or copy the skill folder (skills/social/composites/comment-mining in gooseworks-ai/goose-skills) into .agents/skills/comment-mining in your project. Codex loads it when a task matches its description.
Can I use Comment Mining 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 gooseworks-ai/goose-skills --skill comment-mining -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/comment-mining, .gemini/skills/comment-mining, .github/skills/comment-mining and .opencode/skills/comment-mining in your project.
What does Comment Mining need to run?
SKILL.md names no scripts, command-line tools or credentials: Comment Mining is instructions for the agent only.
Does Comment Mining 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 Comment Mining safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Comment Mining use?
Comment Mining is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Comment Mining use?
About 541 tokens (SKILL.md is roughly 2.2k 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 Comment Mining?
Skills that share tags, products or a category with Comment Mining: Marketing Campaign (affaan-m/ECC, 276k stars), Comment Mining (ScrapeCreators/social-media-research-skills, 3.4k stars), Product Demand Research (ScrapeCreators/social-media-research-skills, 3.4k stars) and Social Proof And Testimonials (social-media-skills/skills, 128 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Comment Mining?
gooseworks-ai (a GitHub organization) maintains it in gooseworks-ai/goose-skills, which has 1,239 GitHub stars. The repository holds 273 skills in this directory. The repository was last updated on October 8, 2026.
Source: gooseworks-ai/goose-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.