Scan market trends, competitor activity, and emerging patterns. Monitors Product Hunt, GitHub Trending, HackerNews, and social platforms.
The English summary is being prepared. Showing the original description.
See how to installReview the instructions the agent will receive before you install.
Market intelligence and technology trend analysis utility. Receives a topic or market segment, executes targeted searches across trend sources, analyzes competitor activity and community sentiment, and returns structured market intelligence. Stateless — no memory between calls.
None — pure L3 utility using WebSearch tools directly.
brainstorm (L2): market context for product ideationmarketing (L2): trend data for positioning and contentautopsy (L2): identify if tech stack is outdatedautopsy (L2): check if legacy tech is still maintainedtopic: string — market segment or technology to analyze (e.g., "AI coding assistants", "SvelteKit")
timeframe: string — (optional) period of interest, defaults to "2026"
focus: string — (optional) narrow the lens: "competitors" | "technology" | "community" | "all"
Parse the input topic and determine the analysis angle:
Execute WebSearch with these query patterns:
"[topic] 2026 trends""[topic] vs alternatives 2026""[topic] market share growth""[topic] GitHub trending" or "[topic] npm downloads stats"Collect results. Identify the most evidence-rich URLs per query.
Execute WebSearch with:
"[topic] competitors comparison""best [topic] tools 2026""[topic] alternative"From results, extract:
Execute WebSearch with:
"site:reddit.com [topic]" or "[topic] reddit discussion""[topic] site:news.ycombinator.com""[topic] GitHub stars" or "[topic] downloads per week"Extract:
Synthesize all gathered data into the output format below. Note where data is sparse or conflicting.
WebSearch only — do not call WebFetch unless a specific page has critical data not in snippets## Trend Report: [Topic]
- **Period**: [timeframe]
- **Confidence**: high | medium | low
### Trending Now
- [trend] — evidence: [source/stat]
- [trend] — evidence: [source/stat]
### Competitors
| Name | Key Differentiator | Sentiment |
|------|--------------------|-----------|
| [A] | [feature] | positive / mixed / negative |
| [B] | [feature] | positive / mixed / negative |
### Community Sentiment
- **Reddit/HN**: [summary]
- **GitHub activity**: [stars/downloads/issues signal]
- **Pain points**: [what users complain about]
### Emerging Patterns
- [pattern] — implication: [what this means for callers]
### Recommendations
- [actionable insight for the calling skill]
Known failure modes for this skill. Check these before declaring done.
| Failure Mode | Severity | Mitigation |
|---|---|---|
| Inferring trend from a single data point | HIGH | Constraint: note confidence level — single source = low confidence, not a trend |
| Topic too broad → generic results with no actionable signal | MEDIUM | Report what was analyzed and suggest narrowing; don't fabricate specificity |
| Skipping competitor analysis (Steps 3 mandatory) | MEDIUM | Competitor analysis is required — callers need positioning context |
| Calling WebFetch on every search result (excessive cost) | MEDIUM | Constraint: WebSearch only unless a specific page has critical data not in snippets |
~300-600 tokens input, ~200-400 tokens output. Haiku.
No reviews yet. Tell others what you thought.
No login needed. Share how it worked for you, ask a question, or note where it did not run.
No comments yet. Be the first to write one.
Pre-implementation red-team analysis. Use when a plan is high-risk, critical path, or expensive to reverse. Challenges plans before code is written — finds edge cases, security holes, scalability bottlenecks, error propagation risks, and integration conflicts. Catches flaws at plan time (10x cheaper than post-implementation).
The English summary is being prepared. Showing the original description.
Creates code-based visual assets — SVG icons, OG image HTML templates, social banners, and icon sets. Use when generating visuals as code (vector/HTML), NOT raster images — for raster generation see @rune-pro/media. Outputs files with usage instructions.
The English summary is being prepared. Showing the original description.
Comprehensive project audit — security, dependencies, code quality, architecture, performance, infra, docs, and mesh analytics. Use when needing a full 8-dimension health-score snapshot before a major release, M&A diligence, or quarterly review. Delegates to specialist skills (sentinel, dependency-doctor, perf, autopsy, etc.).
The English summary is being prepared. Showing the original description.
Full codebase health assessment. Use when diagnosing project health or starting a rescue workflow on legacy code — OR when evaluating an external GitHub repo for dependency / fork / contribution decisions (--external mode). Analyzes complexity, dependencies, dead code, tech debt, and git hotspots. Produces a health score and rescue plan.
The English summary is being prepared. Showing the original description.
Business Analyst agent. Use when starting a new feature requiring requirements elicitation BEFORE plan or cook. Asks probing questions, identifies hidden requirements, maps stakeholders, defines scope boundaries, and produces a structured Requirements Document that plan and cook consume.
The English summary is being prepared. Showing the original description.
Creative ideation and solution exploration. Generates multiple approaches with trade-offs, uses structured frameworks (SCAMPER, First Principles), and hands off to plan for structuring.
The English summary is being prepared. Showing the original description.