/skill-finder

name: skill-finder
description: >
  Find the right Affitor skill for your goal. Triggers on:
  "which skill should I use", "find me a skill", "what skills are available",
  "help me choose a skill", "skill for SEO", "skill for email", "explore skills",
  "I'm new to Affitor", "what can Affitor do", "search skills",
  "skill for blog writing", "skill for landing pages", "skill for analytics".
license: MIT
version: "1.0.0"
tags: ["affiliate-marketing", "meta", "planning", "compliance", "discovery", "skill-search"]
compatibility: "Claude Code, ChatGPT, Gemini CLI, Cursor, Windsurf, OpenClaw, any AI agent"
metadata:
  author: affitor
  version: "1.0"
  stage: S8-Meta

Skill Finder

Search and discover Affitor skills by task, stage, keyword, or natural language goal. Returns a ranked list of matching skills with descriptions, input requirements, and recommended next steps. Output is a concise Markdown guide.

Stage

S8: Meta — The entry point to the entire Affitor ecosystem. New users don't know what's available. Experienced users forget skill names. Skill Finder bridges the gap — it reads the registry, matches intent to capability, and recommends the fastest path to the user's goal.

When to Use

• User is new to Affitor and asks "what can I do?" or "where do I start?"
• User describes a goal but doesn't name a specific skill
• User wants to find skills by stage (e.g., "what analytics skills exist?")
• User asks "which skill helps with [topic]?"
• User says anything like "find skill", "search skill", "explore skills"
• Chaining: recommended as the first skill for new users before S1-S7

Input Schema

query: string                  # REQUIRED — natural language: "I want to write a blog review"
                               # or "what skills help with SEO?" or "analytics skills"
stage_filter: string           # OPTIONAL — filter by stage: research | content | blog | landing
                               # | distribution | analytics | automation | meta
goal: string                   # OPTIONAL — broader goal: "first commission" | "scale to 1k"
                               # | "optimize conversions" | "automate my workflow"

Workflow

Step 1: Load Skill Catalog

Read `registry.json` from the repository root (or from conversation context if already loaded). Parse all skills with their stage, name, slug, and description.

Step 2: Match Query to Skills

Match the user's `query` against: 1. Skill names and slugs (exact match → top priority) 2. Skill descriptions (keyword overlap) 3. Stage labels and descriptions (if user is browsing by stage) 4. Inferred intent (e.g., "SEO" → `seo-audit`, `affiliate-blog-builder`)

If `stage_filter` is provided, restrict results to that stage.

Step 3: Rank Results

Rank matches by relevance: 1. Direct name/slug match 2. Description keyword match count 3. Stage alignment with user's apparent funnel position

Step 4: Recommend a Path

If the user's goal spans multiple stages, suggest a skill sequence:

• "You want to go from zero to first commission → S1 → S2 → S3 → S5"
• "You want to optimize existing content → S6 (seo-audit, ab-test-generator)"

Step 5: Output Results

Present top 3-5 matching skills with:

• Skill name and stage
• What it does (one sentence)
• What input it needs
• Example invocation prompt

Step 6: Self-Validation

Before presenting output, verify:

• [ ] All matched skills exist in the current registry
• [ ] Example prompts are copy-paste ready and grammatically correct
• [ ] Recommended path follows logical funnel sequence
• [ ] Relevance ranking: exact match > partial match > related
• [ ] Input needed descriptions match actual skill Input Schemas

If any check fails, fix the output before delivering. Do not flag the checklist to the user — just ensure the output passes.

Output Schema

output_schema_version: "1.0.0"  # Semver — bump major on breaking changes
matches:
  - skill: string              # skill slug
    stage: string              # e.g., "S6: Analytics"
    description: string        # one-sentence summary
    input_needed: string       # what the user needs to provide
    example_prompt: string     # copy-paste prompt to invoke the skill
    relevance: string          # "exact" | "high" | "related"

recommended_path:
  description: string          # why this path
  steps:
    - order: number
      skill: string
      action: string           # what this step accomplishes

Output Format

1. **Matching Skills** — table with skill name, stage, description, and relevance 2. **How to Use** — for each top match, show the exact prompt to invoke it 3. **Recommended Path** — if the goal spans multiple stages, a numbered sequence

Error Handling

• **Empty query**: "What are you trying to accomplish? For example: 'write a blog review', 'track conversions', or 'plan a full funnel'."
• **No matches found**: "No skills match '[query]'. Here are all available stages: [list stages]. Try describing your goal differently."
• **Too broad query ("everything")**: Show one skill per stage as a sampler, then ask: "Which stage interests you most?"

Examples

Example 1: Specific task query

**User**: "I want to write a blog review of an AI tool" **Action**: Match → `affiliate-blog-builder` (S3, exact), `comparison-post-writer` (S3, related), `viral-post-writer` (S2, related). Show top 3 with example prompts. Recommend: "Start with S1 `affiliate-program-search` to find the best program, then use S3 `affiliate-blog-builder` for the review."

Example 2: Stage browsing

**User**: "What analytics skills are available?" **Action**: Filter by `analytics` stage → show all 4: `conversion-tracker`, `ab-test-generator`, `performance-report`, `seo-audit`. Describe each with input requirements.

Example 3: Goal-oriented

**User**: "I'm new to affiliate marketing, where do I start?" **Action**: Recommend the beginner path: S1 (`affiliate-program-search`) → S2 (`viral-post-w