Agent-Skills.md

Agent Skills: Opportunity Discoverer

Traffic-First opportunity discovery. KILL funnel filters ideas by traffic channel, demand, competition, revenue, interest, MVP-ability. Outputs one idea + one channel recommendation.

UncategorizedID: levnikolaevich/claude-code-skills/ln-201-opportunity-discoverer

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levnikolaevich/claude-code-skills
levnikolaevichLicense: MIT
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ln-201-opportunity-discoverer/SKILL.md

Skill Metadata

Name
ln-201-opportunity-discoverer
Description
Traffic-First opportunity discovery. KILL funnel filters ideas by traffic channel, demand, competition, revenue, interest, MVP-ability. Outputs one idea + one channel recommendation.

Paths: File paths (shared/, references/, ../ln-*) are relative to skills repo root. If not found at CWD, locate this SKILL.md directory and go up one level for repo root.

Opportunity Discoverer

Traffic-First approach to finding next growth direction for existing product.

Core Philosophy

Anti-pattern: Idea → Surveys → Product → "where's traffic?" Correct: Traffic → Niche → MVP → Launch under existing demand

The 90% Developer Bug

Most fail because they:

  1. Invent idea with no analogs
  2. Ask 5 people "would you pay?" (they say yes for a hot dog)
  3. Build product with round sum
  4. Launch with "now let's set up traffic"
  5. Discover: no traffic exists, never did

No marketer will build funnel for what cold traffic doesn't buy.

Traffic-First Principles

| # | Principle | Anti-pattern | |---|-----------|--------------| | 1 | Traffic exists BEFORE product | Building then searching for traffic | | 2 | No surveys — measure real search demand | Asking "would you buy?" | | 3 | Existing demand — launch under what people search | Creating new category | | 4 | One channel, one idea — no spreading | Testing 5 channels at once | | 5 | KILL early — fail fast, don't waste time | Scoring all ideas equally |

Supporting Methodology

Marc Andreessen (pmarca):

"Validate market at practical level — go get paying customers to demonstrate market exists."

Sam Altman (YC):

"Who desperately needs the product? Best answer is going after large part of small market." "Test idea by launching or trying to sell — get letter of intent before code."

Purpose & Scope

  • Discover growth direction BEFORE Epic creation
  • Filter ideas through sequential KILL funnel
  • Output: one recommended idea + one traffic channel
  • Position: before ln-210 (Epic Coordinator)

When to Use

Use this skill when:

  • Product exists, seeking next growth direction
  • Have 3-10 potential ideas/niches
  • Want to validate opportunity before committing
  • Need to choose ONE channel to focus on

Do NOT use when:

  • No product context (greenfield startup)
  • Already have validated direction (skip to ln-210)
  • Prioritizing existing Stories (use ln-230)

Input Parameters

| Parameter | Required | Description | Default | |-----------|----------|-------------|---------| | ideas | No | Comma-separated list | - | | context | No | Product description for generation | - | | strict | No | Strict KILL thresholds | true |

Input modes:

  • ideas="idea1, idea2, idea3" — evaluate list
  • context="SaaS for X" — generate ideas from product
  • Both — generate + add user ideas

KILL Funnel Pipeline

Ideas pass through 6 sequential filters. Fail any filter = KILL immediately.

Idea → [Traffic?] → [Demand?] → [Competition?] → [Revenue?] → [Interest?] → [MVP?] → SURVIVOR
              ↓           ↓            ↓             ↓            ↓           ↓
            KILL        KILL         KILL          KILL         KILL        KILL

Filter 1: Traffic Channel

Question: Where do people look for this solution?

Research:

WebSearch: "[idea] how people find solutions"
WebSearch: "[idea] customer acquisition channels"

Valid channels:

| Channel | Signal | Best for | |---------|--------|----------| | Search/SEO | People Google "[problem] solution" | Info products, tools | | YouTube | Tutorial searches exist | Education, how-to | | Marketplaces | Category exists (ProductHunt, AppStore) | Apps, plugins | | Communities | Active subreddits, forums | Niche products | | Paid Ads | Competitors running ads | Proven demand | | Outbound | Clear ICP, reachable | B2B high-ticket |

KILL if: No identifiable channel where people actively look for solution.

Output: Channel name + rationale

Filter 2: Existing Demand

Question: Are people already searching for this?

Research:

WebSearch: "[idea] search volume 2025"
WebSearch: "[idea] Google Trends"
WebSearch: "[problem] forum discussions reddit"

Demand signals:

| Signal | Source | Interpretation | |--------|--------|----------------| | Search volume | Google Keyword Planner, Ahrefs | Direct demand | | Trend direction | Google Trends | Growing/declining | | Forum activity | Reddit, HackerNews, StackOverflow | Pain level | | Competitor traffic | SimilarWeb, SEMrush | Market size |

KILL thresholds:

| Volume | Verdict | |--------|---------| | >10K/month | Strong demand | | 1K-10K/month | Viable niche | | <1K/month | KILL — insufficient demand |

Output: Monthly volume estimate + trend

Filter 3: Competition (Blue/Red Ocean)

Question: Can we enter this market?

Research:

WebSearch: "[idea] competitors 2025"
WebSearch: "[idea] alternatives comparison"

Classification:

| Competitors | Index | Ocean | Verdict | |-------------|-------|-------|---------| | 0 | 1 | Blue | Opportunity (validate demand exists) | | 1-2 | 2 | Emerging | Best entry point | | 3-5 | 3 | Growing | Differentiation needed | | 6-10 | 4 | Mature | Hard but possible | | >10 | 5 | Red | KILL — commoditized |

KILL if: Index 5 (Red Ocean) — too many competitors, race to bottom.

Output: Competitor count + Ocean type

Filter 4: Revenue Potential

Question: Will people pay enough?

Research:

WebSearch: "[idea] pricing SaaS"
WebSearch: "[competitor] pricing plans"
WebSearch: "[idea] willingness to pay"

Revenue indicators:

| ARPU | Market type | Viability | |------|-------------|-----------| | >$100/user/mo | Enterprise | High margin | | $50-100 | Professional | Good | | $20-50 | Prosumer | Viable | | $5-20 | Consumer | Volume needed | | <$5 | Ad-supported | KILL |

KILL if: <$20/user — not worth the effort for small team.

Output: Estimated $/user + pricing model

Filter 5: Personal Interest

Question: Will you enjoy building this?

Method: AskUserQuestion — rate 1-5

Rate your interest in building [idea]:
1 = Meh, would do for money only
2 = Low interest
3 = Neutral
4 = Interested
5 = Excited, would build for free

Why this matters:

  • Low interest = burnout in 3 months
  • High interest = sustained motivation through hard times
  • You'll spend 2+ years on this

KILL if: Score 1-2 — you'll quit before PMF.

Output: Score 1-5

Filter 6: MVP-ability

Question: Can you launch in 4 weeks?

Assessment:

| Factor | Question | Red flag | |--------|----------|----------| | Tech | Existing skills or need to learn? | New stack | | Dependencies | External APIs, partners needed? | Waiting on others | | Content | Significant content creation? | Months of writing | | Regulations | Legal/compliance requirements? | Licenses, approvals | | Team | Solo or need to hire? | Can't start alone |

Time estimates:

| Weeks | Complexity | Verdict | |-------|------------|---------| | 1-2 | Solo, existing skills | Best | | 2-4 | Minor learning curve | Good | | 4-8 | Some new tech | Acceptable | | >8 | Significant infrastructure | KILL |

KILL if: >8 weeks to MVP — too slow to validate.

Output: Weeks estimate + blockers

Workflow

Phase 1: Input Processing (2 min)

  1. Parse input:

    • If ideas: split comma-separated list
    • If context: generate 5-7 ideas via WebSearch
    • If both: combine

  2. Validate count:

    • Minimum: 3 ideas
    • Maximum: 10 ideas

  3. Create output directory:

    mkdir -p docs/reference/research/

Output: Idea queue (3-10 items)

Phase 2: KILL Funnel (per idea)

Process each idea sequentially through all 6 filters:

FOR each idea:
    Filter 1: Traffic Channel
        IF no channel → KILL, log reason, NEXT idea

    Filter 2: Existing Demand
        IF <1K/month → KILL, log reason, NEXT idea

    Filter 3: Competition
        IF Index 5 → KILL, log reason, NEXT idea

    Filter 4: Revenue
        IF <$20/user → KILL, log reason, NEXT idea

    Filter 5: Interest
        AskUserQuestion for rating
        IF score 1-2 → KILL, log reason, NEXT idea

    Filter 6: MVP-ability
        IF >8 weeks → KILL, log reason, NEXT idea

    → SURVIVOR: add to survivors list

Token efficiency:

  • Process ONE idea at a time
  • KILL early = less research needed
  • Clear context after each idea

Phase 3: Rank Survivors (2 min)

If survivors exist:

  1. Calculate composite score:

    Score = Demand_score + (6 - Competition_index) + Revenue_score + Interest + MVP_score

  2. Sort by score descending

  3. Select TOP recommendation

If no survivors:

  • Report: "All ideas killed. Rethink direction."
  • Show KILL log for learning

Phase 4: Output (2 min)

Generate: docs/reference/research/[YYYY-MM-DD]-discovery.md

Structure:

# Opportunity Discovery: [Date]

## Summary
- Ideas analyzed: X
- Survivors: Y
- Killed: Z

## TOP RECOMMENDATION

**Idea:** [Name]
**Channel:** [Primary channel]
**Why:** [2-3 sentence rationale]

### Key metrics:
- Demand: [volume]/month
- Competition: [Index] [Ocean type]
- Revenue: $[X]/user
- MVP: [X] weeks

## Survivors Table

| Idea | Channel | Demand | Competition | Revenue | Interest | MVP | Score |
|------|---------|--------|-------------|---------|----------|-----|-------|
| ... | ... | ... | ... | ... | ... | ... | ... |

## KILL Log

| Idea | Killed at | Reason |
|------|-----------|--------|
| ... | ... | ... |

## Next Steps
1. Create Epic with ln-210 for top recommendation
2. Focus on [channel] as primary acquisition
3. Target MVP in [X] weeks

Time-Box

| Ideas | Estimated time | |-------|---------------| | 3 | 15-20 min | | 5 | 25-35 min | | 10 | 50-70 min |

Note: KILL funnel is faster than full scoring — bad ideas die early.

Integration

Position in workflow:

Product exists
     ↓
ln-201 (Opportunity Discovery) ← THIS SKILL
     ↓
ln-210 (Epic Coordinator)
     ↓
ln-220 (Story Coordinator)

Dependencies:

  • WebSearch (all filters except Interest)
  • AskUserQuestion (Interest filter)
  • Write, Bash (output)

Critical Rules

  1. Traffic first — no traffic channel = no analysis
  2. KILL immediately — don't score dead ideas
  3. One recommendation — avoid paralysis
  4. No surveys — real search data only
  5. Interest matters — you'll quit if bored
  6. MVP speed — slow launch = slow learning

Example Usage

With ideas:

ln-201-opportunity-discoverer ideas="AI writing tool, code review bot, translation API"

With context:

ln-201-opportunity-discoverer context="B2B developer tools SaaS"

Example output:

# Opportunity Discovery: 2026-01-29

## TOP RECOMMENDATION

**Idea:** Code review bot
**Channel:** SEO (developers search "code review tool")
**Why:** Growing demand (15K/mo), emerging market (3 competitors),
$50/user pricing proven, can MVP in 3 weeks with existing skills.

## KILL Log

| Idea | Killed at | Reason |
|------|-----------|--------|
| AI writing | Competition | Red Ocean (25+ competitors) |
| Translation API | Revenue | Commoditized, <$10/user |

Reference Files

| File | Purpose | |------|---------| | filter_criteria.md | KILL thresholds for all filters | | channel_analysis.md | Traffic channel identification | | discovery_template.md | Output markdown template |

Version: 2.0.0 Last Updated: 2026-01-29