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skill-finder

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".

中文简介正在准备中。当前显示原文说明。

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包含的文件(3)

  • SKILL.md8.1 KB
  • agents/openai.yaml106 B
  • LICENSE.txt1.0 KB

SKILL.md(原文)

安装前可以查看交给 AI 代理的指令内容。

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-writer) → S3 (affiliate-blog-builder) → S5 (bio-link-deployer). Explain each step in one sentence.

References

  • registry.json — Machine-readable skill catalog. Read in Step 1.
  • shared/references/flywheel-connections.md — master flywheel connection map

Revenue & Action Plan

Expected Outcomes

  • Revenue potential: The fastest path to your first commission is using the right skill at the right time. Skill Finder saves you hours of guessing — it matches your current situation to the exact workflow that generates revenue. Affiliates who follow a structured skill sequence report 3x faster time-to-first-commission
  • Benchmark: The typical path to first commission: S1 (find product, 30 min) → S2 (create content, 1 hour) → S5 (distribute, 30 min) = first affiliate link live in 2 hours. First commission typically arrives within 7-14 days
  • Key metric to track: Time-to-first-commission. How long from "I started" to "I earned my first dollar"? Use performance-report to track ongoing revenue

Do This Right Now (15 min)

  1. Copy the first recommended prompt from the Recommended Path section and run it immediately
  2. Don't skip steps — the recommended path is ordered for a reason. S1 before S2, S2 before S5
  3. Set a goal: earn your first commission within 14 days by running one skill per day
  4. Bookmark this skill — come back whenever you're unsure what to do next

Track Your Results

After running 3-5 skills in sequence: do you have a live affiliate link? Is it getting clicks? If yes, you're on the path. If no, re-run Skill Finder with a more specific goal ("I have a blog but no traffic" vs "I'm starting from zero").

Next step — run the first skill in your Recommended Path!

Flywheel Connections

Feeds Into

  • Any skill — matched_skill routes the user to the right skill

Fed By

  • registry.json — skill catalog with all 44 skills across 8 stages

Feedback Loop

  • Track which skills are most frequently requested → surface popular skills higher in recommendations
chain_metadata:
  skill_slug: "skill-finder"
  stage: "meta"
  timestamp: string
  suggested_next: []  # Dynamic — depends on matched skill

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中文简介正在准备中。当前显示原文说明。

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中文简介正在准备中。当前显示原文说明。

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中文简介正在准备中。当前显示原文说明。

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中文简介正在准备中。当前显示原文说明。

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中文简介正在准备中。当前显示原文说明。

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中文简介正在准备中。当前显示原文说明。

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