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A skill your agent uses when the user asks to "find trending topics", "what trends should my brand jump on", or "time a campaign around a cultural moment"; produces a ranked trend report with…
Install Trend Spotter
$ npx skills add aiskillstore/marketplace --skill trend-spotter -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install aiskillstore/marketplace trend-spotter --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/aiskillstore/marketplace.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/aaron-he-zhu/trend-spotter .claude/skills/trend-spotter && 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 "trend-spotter" agent skill from https://github.com/aiskillstore/marketplace/tree/main/skills/aaron-he-zhu/trend-spotter into .claude/skills/trend-spotter/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "trend-spotter", 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/aiskillstore/marketplace/tree/main/skills/aaron-he-zhu/trend-spotterType 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 aiskillstore/marketplace --skill trend-spotter -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install aiskillstore/marketplace trend-spotter --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aiskillstore/marketplace.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/aaron-he-zhu/trend-spotter .agents/skills/trend-spotter && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "trend-spotter" agent skill from https://github.com/aiskillstore/marketplace/tree/main/skills/aaron-he-zhu/trend-spotter into .agents/skills/trend-spotter/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "trend-spotter", 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 aiskillstore/marketplace --skill trend-spotter -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install aiskillstore/marketplace trend-spotter --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aiskillstore/marketplace.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/aaron-he-zhu/trend-spotter .cursor/skills/trend-spotter && 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 "trend-spotter" agent skill from https://github.com/aiskillstore/marketplace/tree/main/skills/aaron-he-zhu/trend-spotter into .cursor/skills/trend-spotter/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "trend-spotter", 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/aiskillstore/marketplace.git --path skills/aaron-he-zhu/trend-spotter--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 aiskillstore/marketplace --skill trend-spotter -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install aiskillstore/marketplace trend-spotter --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aiskillstore/marketplace.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/aaron-he-zhu/trend-spotter .gemini/skills/trend-spotter && 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 "trend-spotter" agent skill from https://github.com/aiskillstore/marketplace/tree/main/skills/aaron-he-zhu/trend-spotter into .gemini/skills/trend-spotter/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "trend-spotter", 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 aiskillstore/marketplace trend-spotterInstalls 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 aiskillstore/marketplace --skill trend-spotter -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/aiskillstore/marketplace.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/aaron-he-zhu/trend-spotter .github/skills/trend-spotter && 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 "trend-spotter" agent skill from https://github.com/aiskillstore/marketplace/tree/main/skills/aaron-he-zhu/trend-spotter into .github/skills/trend-spotter/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "trend-spotter", 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 aiskillstore/marketplace --skill trend-spotter -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install aiskillstore/marketplace trend-spotter --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aiskillstore/marketplace.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/aaron-he-zhu/trend-spotter .opencode/skills/trend-spotter && 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 "trend-spotter" agent skill from https://github.com/aiskillstore/marketplace/tree/main/skills/aaron-he-zhu/trend-spotter into .opencode/skills/trend-spotter/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "trend-spotter", 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
trend-spotter- GitHub stars
- 433
- Token cost
- ~2.2k tokens
- SKILL.md length
- 842 words
- Files
- 4 (incl. references)
- Skills in repo
- 1,044
- Repo updated
- First seen
- Licence
- Apache-2.0
At a glance
A skill your agent uses when the user asks to "find trending topics", "what trends should my brand jump on", or "time a campaign around a cultural moment"; produces a ranked trend report with…
- Works in 3 steps: Each candidate trend has a brand-fit… → The report names the top 3 trends to act… → Action items carry a timing window and a…
- The user asks to find trending topics
- SKILL.md covers Quick Start, Skill Contract, Data Sources and Instructions, plus 3 more sections
- Calls python3; reaches hn.algolia.com
What it does
Trend Spotter is an agent skill from aiskillstore/marketplace. Use when the user asks to "find trending topics", "what trends should my brand jump on", or "time a campaign around a cultural moment"; produces a ranked trend report with brand-fit scores, format calls (rising/peak/declining), a cultural calendar, and go/skip recommendations. Not for finding the creators to run those trends — use influencer-discovery; not for building the brand posting calendar from a go verdict — use social-calendar-builder.
Its SKILL.md is about 2.2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files, including reference files (for example `references/templates.md`, `references/trend-scout-recipe.md` and `skill-report.json`). Compatibility notes: Claude Code and compatible agent-skill hosts
It sits in Marketing & SEO, covering Influencer and creator marketing and Social media marketing. The repository describes itself as: Security-audited skills for Claude, Codex & Claude Code. One-click install, quality verified. The licence is Apache-2.0.
When your agent uses it
- The user asks to find trending topics
- What trends should my brand jump on
- Time a campaign around a cultural moment
- Produces a ranked trend report with brand-fit scores
Example prompts
- “find trending topics”
- “what trends should my brand jump on”
- “time a campaign around a cultural moment”
- “/trend-spotter”
Requirements
- Python 3
- Compatibility (from SKILL.md): Claude Code and compatible agent-skill hosts
Workflow steps
3 steps, taken from the first numbered list in SKILL.md.
- Each candidate trend has a brand-fit score and a go / caution / skip call.
- The report names the top 3 trends to act on now plus a watch list and an avoid list.
- Action items carry a timing window and a content-format recommendation.
What it can do on your machine
Read from SKILL.md and the folder at commit 44923f3. 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
Shell commands in SKILL.md call:
python3
From the folder's file list and the shell code blocks in SKILL.md.
Network
Hosts in commands or code, which the agent is likely to contact:
hn.algolia.com
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.
Compatibility
Claude Code and compatible agent-skill hosts
From compatibility in the SKILL.md frontmatter.
Context cost
Trend Spotter loads about 2.2k tokens when it runs, and up to ~5.6k if it reads all its reference files. Until then it costs about 115 tokens; SKILL.md has 842 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 aiskillstore/marketplace at commit 44923f3, republished under its Apache-2.0 licence (© aiskillstore). 842 words, ~2,205 tokens.
Download SKILL.mdSave it as
.claude/skills/trend-spotter/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.- name
- trend-spotter
- description
- Use when the user asks to "find trending topics", "what trends should my brand jump on", or "time a campaign around a cultural moment"; produces a ranked trend report with brand-fit scores, format calls (rising/peak/declining), a cultural calendar, and go/skip recommendations. Not for finding the creators to run those trends — use influencer-discovery; not for building the brand posting calendar from a go verdict — use social-calendar-builder.
- compatibility
- Claude Code and compatible agent-skill hosts
- slug
- trend-spotter
- displayName
- Trend Spotter · 趋势侦察
- summary
- 排名化趋势报告:品牌契合评分、rising/peak/declining 判断与 go/skip 建议
- version
- 17.0.0
- license
- Apache-2.0
- homepage
- https://github.com/aaron-he-zhu/aaron-marketing-skills
- when_to_use
- Use when planning campaign timing and themes, deciding whether to join a hashtag, sound, or challenge, scouting trending content formats on a platform…
- argument-hint
- <brand or industry> [platform] [time horizon]
- metadata.author
- aaron-he-zhu
- metadata.version
- 17.0.0
Trend Spotter
This skill helps you identify and capitalize on trends that matter to your audience. It monitors social conversations, emerging topics, viral content formats, and cultural moments to inform influencer campaign timing and content strategy.
Quick Start
Shortest invocation:
What trends are relevant for [brand/industry] right now?Common scenario — analyze one specific trend before committing:
Should [brand] participate in [trend/challenge]? Score the brand fit and give a go/skip call.Skill Contract
- Reads: brand/industry, target platforms, audience, geographic focus, time horizon, content categories; prior audience and niche findings from
memory/influencer/if present. - Writes: a trend report (ranked trends, brand-fit scores, format calls, cultural calendar, go/skip recommendations) to
memory/influencer/trend-spotter/YYYY-MM-DD-<topic>.md. - Promotes: durable facts (top trends to act on now, trends to avoid, next review date) to
memory/hot-cache.md. - Done when:
- Each candidate trend has a brand-fit score and a go / caution / skip call.
- The report names the top 3 trends to act on now plus a watch list and an avoid list.
- Action items carry a timing window and a content-format recommendation.
- Primary next skill: influencer-discovery — find the creators who can execute the chosen trends.
Handoff Summary
Emit the standard shape from skill-contract.md §Handoff Summary Format.
Data Sources
This skill works with no live integrations (Tier 1): ask the user for the brand, platforms, audience, and time horizon, then reason from those inputs. Where a tool would sharpen the read, use a ~~ connector placeholder:
~~social platform analytics— trending hashtags, sounds, and view counts per platform.~~trend database— emerging topics, challenge participation, and growth rates.~~social listening— cultural conversations and sentiment around a topic.~~competitor tracking— which trends rival brands have adopted and how they performed.
No connector is required to produce a useful report. See CONNECTORS.md for the free/keyless recipe per category.
For a keyless way to fill the trending tables with real signal, run the multi-source trend scout — Google Trends RSS + Hacker News + Reddit + YouTube-outlier, scored against the brand's verticals via the bundled stdlib rss_monitor.py (no new dependency): references/trend-scout-recipe.md. This is the Tier-1 recipe behind ~~trend database (Google Trends RSS).
Keyless news pulse (Tavily): python3 "${CLAUDE_PLUGIN_ROOT}/scripts/connectors/tavily.py" search "<vertical or candidate trend>" --topic news --time-range w --limit 10 adds a recency-filtered news read with per-result relevance scores to the scout mix — a second keyless source to corroborate an RSS spike before calling it a rising trend. Keep single-source signals labeled Estimated; two independent sources agreeing upgrades the confidence note, not the label.
Keyless momentum sharpeners: python3 "${CLAUDE_PLUGIN_ROOT}/scripts/connectors/pageviews.py" "<Topic_Article>" --granularity daily --days 30 shows whether a topic's Wikipedia attention is actually climbing — Measured evidence for the rising / peak / declining format call — and the Hacker News Algolia API (https://hn.algolia.com/api/v1/search?query=<topic>, keyless) upgrades the HN RSS read with points and comment counts usable as a heat score.
Show full SKILL.md (411 more words)Show less
Instructions
When a user requests trend analysis, run these steps. Each step has a fill-in template in references/templates.md — copy the matching block and populate it.
- Define trend parameters — capture brand/industry, platforms, audience, geographic focus, time horizon, and content categories. (Template: Step 1.)
- Identify current trends — log trending topics, hashtags, audio/sounds, and challenges with volume, growth, lifespan, and brand-safety flags. (Template: Step 2.)
- Analyze content format trends — list hot, emerging, and declining formats per platform with how-to-adapt notes. (Template: Step 3.)
- Track cultural moments — build the cultural calendar (events + lead times), conversations to join vs avoid, and seasonal opportunities. (Template: Step 4.)
- Assess trend relevance — for each candidate trend, score audience alignment, brand value fit, content adaptability, risk, and timing (X/25) and land a ✅ participate / ⚠️ caution / ❌ skip call. (Template: Step 5.)
- Monitor competitor trend adoption — record which trends rivals adopted, gaps they missed, and what they overused. (Template: Step 6.)
- Generate the trend report — assemble top-3-act-now, watch list, avoid list, timed action items, format and hashtag strategy, and a next-review date. Save to
memory/influencer/trend-spotter/YYYY-MM-DD-<topic>.mdand promote durable facts tomemory/hot-cache.md. (Template: Step 7.)
Example
User: "What TikTok trends should a fitness brand run right now?"
Output names the top trends to act on now — e.g. "Hot Girl Walk" Evolution (2.3B views, still growing, ⭐⭐⭐⭐⭐ for apparel/supplements via "walk with me" content), "75 Hard" challenge content (⭐⭐⭐⭐, sponsor creators mid-challenge), and GRWM Gym Edition (early-growth, first-mover, ⭐⭐⭐⭐⭐) — with a 15-30s format recommendation (hook in 2s, trending audio, text overlay, quick cuts), hashtags (#FitTok, #GymTok), and a this-week action to brief creators on GRWM Gym Edition. Full version: references/templates.md.
Reference Materials
references/templates.md — fill-in templates for every step, the extended worked example, and execution tips.
skill-contract.md — shared contract and Handoff Summary format.
state-model.md — HOT/WARM/COLD memory tiers and save paths.
CONNECTORS.md — free/keyless data recipe per connector category.
C3 benchmark scoring at references/c3/scoring-architecture.md — for grading trend-driven creative output downstream.
Siblings in the discover phase: audience-mapper, influencer-discovery, fit-scorer.
Next Best Skill
- Primary: influencer-discovery — turn the chosen trends into a shortlist of creators who can execute them.
- Alternate: audience-mapper — confirm which trends actually resonate with your audience before committing.
- Alternate: fit-scorer — score which creators fit the chosen trends and the brand before committing.
Termination: keep a visited-set of skills invoked this session. If the primary next skill was already run this turn, stop and report the chain complete rather than re-invoking. Max handoff depth is 3; once reached, summarize and return control to the user.
© aiskillstore, Apache-2.0. 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 3 other files (references) in skills/aaron-he-zhu/trend-spotter of aiskillstore/marketplace.
- SKILL.md
- references/templates.md
- references/trend-scout-recipe.md
- skill-report.json
Open the folder on GitHubat commit 44923f3
Compare with similar skills
Trend Spotter 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 |
|---|---|---|---|---|---|---|
| Trend Spotter this skillaiskillstore/marketplace | 433 | — | ~2.2k | Automated safety check: Pass | Apache-2.0 | |
| Threads Profile Searchbrowser-act/skills | 6.1k | — | ~1.8k | Automated safety check: Pass | MIT | |
| Xiaohongshu User Profilebrowser-act/skills | 6.1k | — | ~2k | Automated safety check: Pass | MIT | |
| Content Amplifieraaron-he-zhu/aaron-marketing-skills | 2.9k | 1 repos | ~6.5k | Automated safety check: Pass | Apache-2.0 | |
| Trend Spotteraaron-he-zhu/aaron-marketing-skills | 2.9k | — | ~2.7k | Automated safety check: Pass | Apache-2.0 | |
| Ecommerce Social Media Marketingnexscope-ai/eCommerce-Skills | 1.1k | — | ~4.8k | Automated safety check: Pass | MIT |
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Related
Categories
Questions about Trend Spotter
What does Trend Spotter do?
A skill your agent uses when the user asks to "find trending topics", "what trends should my brand jump on", or "time a campaign around a cultural moment"; produces a ranked trend report with…. Trend Spotter is an agent skill from aiskillstore/marketplace. Use when the user asks to "find trending topics", "what trends should my brand jump on", or "time a campaign around a cultural moment"; produces a ranked trend report with brand-fit scores, format calls (rising/peak/declining), a cultural calendar, and go/skip recommendations.
When should I use Trend Spotter?
Trend Spotter fits situations like: the user asks to find trending topics; what trends should my brand jump on; time a campaign around a cultural moment; produces a ranked trend report with brand-fit scores.
How do I install Trend Spotter in Claude Code?
Run `npx skills add aiskillstore/marketplace --skill trend-spotter -a claude-code`. Or copy the skill folder (skills/aaron-he-zhu/trend-spotter in aiskillstore/marketplace) into .claude/skills/trend-spotter in your project. Claude Code loads it when a task matches its description.
How do I install Trend Spotter in Codex?
Run `npx skills add aiskillstore/marketplace --skill trend-spotter -a codex`. Or copy the skill folder (skills/aaron-he-zhu/trend-spotter in aiskillstore/marketplace) into .agents/skills/trend-spotter in your project. Codex loads it when a task matches its description.
Can I use Trend Spotter 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 aiskillstore/marketplace --skill trend-spotter -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/trend-spotter, .gemini/skills/trend-spotter, .github/skills/trend-spotter and .opencode/skills/trend-spotter in your project.
What does Trend Spotter need to run?
Going by SKILL.md and its folder, Trend Spotter needs the command-line tools its instructions call (python3). Our summary lists: Python 3. Compatibility (from SKILL.md): Claude Code and compatible agent-skill hosts.
Does Trend Spotter access the network?
SKILL.md names 1 domain. In commands or code: hn.algolia.com; the agent is likely to contact it when it follows the instructions. This is read from the text; nothing was executed.
Is Trend Spotter 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 Trend Spotter use?
Trend Spotter is published under the Apache-2.0 licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Trend Spotter use?
About 2.2k tokens (SKILL.md is roughly 8.8k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 3.4k tokens, read only when the agent opens those files.
What are the alternatives to Trend Spotter?
Skills that share tags, products or a category with Trend Spotter: Threads Profile Search (browser-act/skills, 6.1k stars), Xiaohongshu User Profile (browser-act/skills, 6.1k stars), Content Amplifier (aaron-he-zhu/aaron-marketing-skills, 2.9k stars) and Trend Spotter (aaron-he-zhu/aaron-marketing-skills, 2.9k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Trend Spotter?
aiskillstore (a GitHub organization) maintains it in aiskillstore/marketplace, which has 433 GitHub stars. The repository holds 1,044 skills in this directory. The repository was last updated on October 10, 2026.
Source: aiskillstore/marketplace on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.