intel

📁 unisone/intel-skill 📅 Jan 29, 2026
0
总安装量
4
周安装量
安装命令
npx skills add https://github.com/unisone/intel-skill --skill intel

Agent 安装分布

claude-code 4
opencode 2
antigravity 2
github-copilot 2
codex 2
gemini-cli 2

Skill 文档

/intel — 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 — complex boolean often fails.

Search Templates by Mode

GAPS MODE — 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 — 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 — 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 — 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 — 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 — 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 — 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 — 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

  1. Reddit/HN → Highest weight (real discussions)
  2. Twitter/X → High (real-time sentiment)
  3. Product Hunt → Medium (launch feedback)
  4. Blogs → Medium (detailed but may be biased)
  5. Company sites → Lowest (facts only, not opinions)

Pattern Detection

  • What appears in 3+ sources? → Strong signal
  • What has engagement hints (comments, upvotes mentioned)? → Validated
  • Contradictions between sources? → Note them
  • Data gaps? → Acknowledge low confidence

Step 4: Output Format

CRITICAL: Follow this exact format.

## /intel {MODE}: {TOPIC}

### TL;DR
[One paragraph — 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]" — [Source: platform/url]

**2. [Finding title]**  
[2-3 sentences with evidence]
> "[Direct quote]" — [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 — 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 — what's NOT represented]
- [Bias warnings — who's overrepresented]
- [Recency issues — old data flagged]

---
📊 /intel {MODE} complete
├─ Topic: {TOPIC}
├─ Sources: {n} total
└─ 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 | 👍/👎/😐 |
| [Name] | [1-line] | {n}x | 👍/👎/😐 |

### 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] — "[quote]"
**Most Hated:** [Feature] — "[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:** {📈 Growing | 📊 Stable | 📉 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 — 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] — "[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:

  1. TL;DR (synthesis)
  2. Market Gaps
  3. Competitive Landscape
  4. Sentiment Overview
  5. Pricing Intel
  6. Trend Direction
  7. Pain Points
  8. 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 — founder can decide something

Context Memory

After research, remember:

  • MODE: {mode}
  • TOPIC: {topic}
  • KEY_FINDINGS: Top 3-5 insights
  • SOURCES: 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

❌ Don’t hallucinate sources — If you didn’t find it, don’t cite it ❌ Don’t use vague numbers — “Several” “Many” “Some” → Use actual counts ❌ Don’t skip the format — Follow templates exactly ❌ Don’t over-promise — Low data = say “low confidence” ❌ Don’t re-search on follow-ups — Use what you already found


Reference Examples

See the examples/ folder for complete output examples:

  • examples/gaps-example.md — AI video editing gaps analysis
  • examples/competitors-example.md — Notion competitive landscape
  • examples/sentiment-example.md — Claude Code sentiment analysis

Use these as templates for consistent output formatting.


/intel — Stop guessing. Start knowing.