Agent Skillsleamsigc/ShortsGenerator › ig-research-analyze

ig-research-analyze

GitHub

分析社交媒体帖子数据,通过心理学框架识别触发模式,为前6名帖子生成5个定制内容角度建议,并总结发现。

skills/ig-research-analyze/SKILL.md leamsigc/ShortsGenerator

Trigger Scenarios

需要分析社交媒体内容的心理触发点 基于现有帖子数据生成内容策略建议

Install

npx skills add leamsigc/ShortsGenerator --skill ig-research-analyze -g -y
More Options

Use without installing

npx skills use leamsigc/ShortsGenerator@ig-research-analyze

指定 Agent (Claude Code)

npx skills add leamsigc/ShortsGenerator --skill ig-research-analyze -a claude-code -g -y

安装 repo 全部 skill

npx skills add leamsigc/ShortsGenerator --all -g -y

预览 repo 内 skill

npx skills add leamsigc/ShortsGenerator --list

SKILL.md

Frontmatter
{
    "name": "ig-research-analyze",
    "version": "1.0.0",
    "description": "Content psychology analysis state. Reads raw-posts.json and transcripts,\nanalyzes top 6 posts through a psychological lens, identifies trigger\npatterns, and generates 5 tailored content angle recommendations.\n",
    "allowed-tools": [
        "Bash",
        "Read",
        "Write"
    ]
}

Social Research — Analyze State

After scraping and transcription, this state reads the data and provides content psychology analysis.

Preconditions

  • Raw data exists: .ig-research/projects/<project-name>/raw-posts.json
  • Transcripts exist in .ig-research/projects/<project-name>/transcripts/
  • Report exists in .ig-research/projects/<project-name>/report.html

Steps

1. Read report data

cat .ig-research/projects/<project-name>/report.html

2. Read raw posts

node -e "const d=require('./.ig-research/projects/<project-name>/raw-posts.json'); console.log(JSON.stringify(d.posts.slice(0,6),null,2))"

3. For each of the top 6 posts, identify psychological triggers

Analyze against these frameworks:

Trigger Description Signal
Curiosity gaps / open loops Creates info gap the brain wants to close "Here's why...", "The one thing..."
Identity signaling Makes viewer feel like "that person" "This is for people who..."
Social proof / tribal belonging Shows community validation High engagement numbers, "join"
Loss aversion / FOMO Fear of missing out "Don't make this mistake", "before it's too late"
Authority / credibility Positions creator as expert Named frameworks, credentials
Pattern interrupt / contrarian Goes against expectation "Everything you know about X is wrong"
Reciprocity / value-first Gives before asking Free frameworks, actionable tips
Anchoring / specificity Specific numbers feel researched "3 things", "7 strategies"

4. Give 5 content angle recommendations

For each angle: psychological trigger, hook example, why it works in the niche.

5. Summarize findings

Write a brief summary: how many posts scraped, top 3-5 performers, common patterns.

6. Open the report

xdg-open .ig-research/projects/<project-name>/report.html

(Use open on Mac, start on Windows)

Version History

  • 7b83166 Current 2026-08-29 02:30

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Metadata

Files
0
Version
7b83166
Hash
d216bf36
Indexed
2026-08-29 02:30

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