intel
npx skills add https://github.com/unisone/intel-skill --skill intel
Agent 安装分布
Skill 文档
/intel â Market Intelligence in Seconds
Research any market, competitor, or product. Get actionable business intelligence with evidence.
Quick Start Examples
/intel gaps AI video editing
/intel competitors Notion
/intel sentiment Claude Code
/intel pricing email marketing SaaS
/intel trends no-code 2026
/intel pain project management
/intel full personal finance apps
Step 1: Parse Input
Parse the user’s input: /intel [MODE] [TOPIC]
MODES:
| Mode | Purpose |
|---|---|
gaps |
Find market gaps and unmet needs |
competitors |
Map competitive landscape |
sentiment |
Quantify love/hate ratio |
pricing |
Research pricing strategies |
trends |
Analyze direction and velocity |
pain |
Find top frustrations |
validate |
Quick idea validation (gaps + competitors + pain combined) |
full |
Complete report (all modes) |
If no mode specified, default to full.
Store:
MODE = [extracted mode]TOPIC = [extracted topic]
Step 2: Execute Searches
Run 5-8 searches per mode. Keep queries SIMPLE â complex boolean often fails.
Search Templates by Mode
GAPS MODE â Find unmet needs:
Search 1: {TOPIC} "I wish" site:reddit.com
Search 2: {TOPIC} frustrating OR annoying site:reddit.com
Search 3: {TOPIC} "would pay for" site:reddit.com
Search 4: {TOPIC} feature request site:news.ycombinator.com
Search 5: {TOPIC} problems complaints 2025 2026
Search 6: {TOPIC} missing features gaps
COMPETITORS MODE â Map landscape:
Search 1: {TOPIC} vs alternative site:reddit.com
Search 2: {TOPIC} competitors comparison 2026
Search 3: best {TOPIC} alternatives
Search 4: {TOPIC} review site:producthunt.com
Search 5: {TOPIC} pricing plans comparison
Search 6: "switched from" {TOPIC} to site:reddit.com
SENTIMENT MODE â Quantify opinions:
Search 1: {TOPIC} love OR amazing site:reddit.com
Search 2: {TOPIC} hate OR terrible site:reddit.com
Search 3: {TOPIC} honest review 2025 2026
Search 4: {TOPIC} worth it site:reddit.com
Search 5: {TOPIC} overrated OR underrated
Search 6: {TOPIC} complaints site:twitter.com
PRICING MODE â Research pricing:
Search 1: {TOPIC} pricing cost 2026
Search 2: {TOPIC} free tier freemium
Search 3: {TOPIC} expensive OR cheap site:reddit.com
Search 4: {TOPIC} pricing comparison
Search 5: {TOPIC} "how much does" cost
Search 6: {TOPIC} pricing strategy SaaS
TRENDS MODE â Analyze direction:
Search 1: {TOPIC} trending growing 2026
Search 2: {TOPIC} declining dying site:reddit.com
Search 3: {TOPIC} future prediction 2026
Search 4: {TOPIC} news announcement 2026
Search 5: {TOPIC} hype OR bubble
Search 6: {TOPIC} market size growth
PAIN MODE â Find frustrations:
Search 1: {TOPIC} frustrating painful site:reddit.com
Search 2: {TOPIC} biggest problem site:reddit.com
Search 3: {TOPIC} workaround hack site:reddit.com
Search 4: {TOPIC} rant vent site:reddit.com
Search 5: {TOPIC} broken buggy unreliable
Search 6: {TOPIC} complaints issues 2026
VALIDATE MODE â Quick idea validation (run in sequence):
# Pain check
Search 1: {TOPIC} frustrating problem site:reddit.com
Search 2: {TOPIC} "I wish" OR "would pay for" site:reddit.com
# Competition check
Search 3: {TOPIC} vs alternatives comparison
Search 4: best {TOPIC} tools 2026
# Gap check
Search 5: {TOPIC} missing features gaps complaints
Search 6: {TOPIC} "doesn't exist" OR "no good" site:reddit.com
FULL MODE â Run 2-3 searches from EACH mode above.
Step 3: Extract & Synthesize
For each result, extract:
- Source URL (required)
- Platform (Reddit, HN, Twitter, blog)
- Key quote (most relevant 1-2 sentences)
- Engagement hint (if URL contains /comments/ or shows votes in snippet)
Weighting Rules
- Reddit/HN â Highest weight (real discussions)
- Twitter/X â High (real-time sentiment)
- Product Hunt â Medium (launch feedback)
- Blogs â Medium (detailed but may be biased)
- Company sites â Lowest (facts only, not opinions)
Pattern Detection
- What appears in 3+ sources? â Strong signal
- What has engagement hints (comments, upvotes mentioned)? â Validated
- Contradictions between sources? â Note them
- Data gaps? â Acknowledge low confidence
Step 4: Output Format
CRITICAL: Follow this exact format.
## /intel {MODE}: {TOPIC}
### TL;DR
[One paragraph â THE key insight a founder needs. Be specific. Be actionable.]
### Key Findings
**1. [Finding title]**
[2-3 sentences with SPECIFIC evidence]
> "[Direct quote from source]" â [Source: platform/url]
**2. [Finding title]**
[2-3 sentences with evidence]
> "[Direct quote]" â [Source]
**3. [Finding title]**
[Evidence and quotes]
[3-5 findings total]
### Data Summary
| Metric | Value | Notes |
|--------|-------|-------|
| Sources analyzed | {n} | Reddit: {n}, HN: {n}, Other: {n} |
| Strong signals | {n} | Appeared in 3+ sources |
| Confidence | {HIGH/MED/LOW} | Based on source quality |
{MODE-SPECIFIC SECTION â see below}
### Strategic Implications
**If building in this space:**
- [Specific advice for founders/builders]
**If investing/evaluating:**
- [Specific advice for investors/analysts]
**Contrarian take:**
- [What the data might be missing or getting wrong]
### Confidence Breakdown
| Factor | Score | Reasoning |
|--------|-------|-----------|
| Source diversity | {1-10} | {n} independent sources |
| Data recency | {1-10} | {%} from last 90 days |
| Signal strength | {1-10} | {n} findings in 3+ sources |
| **Overall** | **{1-10}** | |
### Limitations & Blind Spots
- [Data gaps â what's NOT represented]
- [Bias warnings â who's overrepresented]
- [Recency issues â old data flagged]
---
ð /intel {MODE} complete
ââ Topic: {TOPIC}
ââ Sources: {n} total
ââ Confidence: {HIGH/MED/LOW}
Want deeper analysis? Ask about any finding.
Mode-Specific Sections
GAPS Mode Output
### Market Opportunities
| Rank | Gap | Signal Strength | Evidence |
|------|-----|-----------------|----------|
| 1 | [Gap description] | {n} mentions | "[quote]" |
| 2 | [Gap] | {n} mentions | "[quote]" |
| 3 | [Gap] | {n} mentions | "[quote]" |
### Recommended Action
[1-2 sentences: Which gap to pursue and why]
COMPETITORS Mode Output
### Competitive Landscape
| Competitor | Positioning | Mentioned | Sentiment |
|------------|-------------|-----------|-----------|
| [Name] | [1-line] | {n}x | ð/ð/ð |
| [Name] | [1-line] | {n}x | ð/ð/ð |
### Positioning Gap
[Where is there room in the market?]
SENTIMENT Mode Output
### Sentiment Analysis
**Score: {1-10}/10** (estimated from {n} sources)
| Aspect | Positive | Negative |
|--------|----------|----------|
| [Aspect 1] | {n} mentions | {n} mentions |
| [Aspect 2] | {n} | {n} |
**Most Loved:** [Feature] â "[quote]"
**Most Hated:** [Feature] â "[quote]"
**Trend:** {Improving/Stable/Declining}
PRICING Mode Output
### Pricing Landscape
| Tier | Range | Model | Examples |
|------|-------|-------|----------|
| Entry | $X-Y | [model] | [products] |
| Mid | $X-Y | [model] | [products] |
| Premium | $X-Y | [model] | [products] |
**Premium Justifiers:** [What features command higher prices]
**Common Mistakes:** [Pricing errors to avoid]
TRENDS Mode Output
### Trend Analysis
**Direction:** {ð Growing | ð Stable | ð Declining}
**Velocity:** {Rapid | Moderate | Slow}
| Signal | Evidence |
|--------|----------|
| [Trend signal] | "[quote]" |
| [Signal] | "[quote]" |
**Forecast:** [1-2 sentences on where this is heading]
PAIN Mode Output
### Pain Point Rankings
| Rank | Pain Point | Frequency | Severity |
|------|------------|-----------|----------|
| 1 | [Pain] | {n} mentions | High/Med/Low |
| 2 | [Pain] | {n} mentions | High/Med/Low |
| 3 | [Pain] | {n} mentions | High/Med/Low |
VALIDATE Mode Output
Quick idea validation â combines gaps, competitors, and pain into a decision framework.
### Idea Validation: {TOPIC}
#### 1. Is There a Real Problem?
**Verdict:** {YES/MAYBE/NO}
- Pain points found: {n}
- Top pain: [description] â "[quote]"
- Severity: {High/Med/Low}
#### 2. Are There Existing Solutions?
**Verdict:** {CROWDED/SOME/EMPTY}
- Competitors found: {n}
- Top players: [list]
- User satisfaction: {High/Med/Low}
#### 3. Is There Room for You?
**Verdict:** {YES/MAYBE/NO}
- Gaps identified: {n}
- Biggest gap: [description]
- Differentiation opportunity: [specific angle]
### Overall Validation Score
| Criteria | Score | Notes |
|----------|-------|-------|
| Problem exists | {1-10} | |
| Market not saturated | {1-10} | |
| Clear differentiation | {1-10} | |
| **BUILD/DONT BUILD** | **{verdict}** | |
### Recommendation
[2-3 sentences: Should they build this? Why or why not? What angle?]
**Current Workarounds:**
- [Pain 1]: People do [workaround]
**Biggest Opportunity:** [Which pain to solve first]
FULL Mode Output
Include ALL sections in order:
- TL;DR (synthesis)
- Market Gaps
- Competitive Landscape
- Sentiment Overview
- Pricing Intel
- Trend Direction
- Pain Points
- Overall Recommendation
Error Handling
If search returns few/no results:
## /intel {MODE}: {TOPIC}
### Limited Data Available
Only {n} relevant sources found. This could mean:
- Niche/emerging topic with sparse coverage
- Try broader search terms
- Topic may not have significant online discussion
**What I found:**
[List whatever was found]
**Suggestions:**
- Try: /intel {MODE} [broader term]
- Try: /intel {MODE} [related term]
If topic is ambiguous: Ask clarifying question before searching:
The topic "{TOPIC}" could mean several things:
1. [Interpretation 1]
2. [Interpretation 2]
Which should I research?
Quality Checklist
Before outputting, verify:
- Every finding has a source URL
- Numbers are specific (“12 mentions” not “many”)
- Direct quotes are actual quotes from sources
- Confidence level matches data quality
- Format matches templates exactly
- Actionable â founder can decide something
Context Memory
After research, remember:
MODE: {mode}TOPIC: {topic}KEY_FINDINGS: Top 3-5 insightsSOURCES: URLs you found
You are now an expert on this topic.
For follow-ups:
- Answer from your research (don’t re-search)
- Cite the sources you found
- Offer to dive deeper on any finding
Only new research if user asks about DIFFERENT topic.
Anti-Patterns to Avoid
â Don’t hallucinate sources â If you didn’t find it, don’t cite it â Don’t use vague numbers â “Several” “Many” “Some” â Use actual counts â Don’t skip the format â Follow templates exactly â Don’t over-promise â Low data = say “low confidence” â Don’t re-search on follow-ups â Use what you already found
Reference Examples
See the examples/ folder for complete output examples:
examples/gaps-example.mdâ AI video editing gaps analysisexamples/competitors-example.mdâ Notion competitive landscapeexamples/sentiment-example.mdâ Claude Code sentiment analysis
Use these as templates for consistent output formatting.
/intel â Stop guessing. Start knowing.