Threads Growth Skill

reason-machines/marketing-skills/skills/threads-growth-skill

作者 reason-machines97301f4188a7152bed5a121cbd4763ba9ac21afe无许可证收录于 2026年10月9日更新于 2026年10月9日

Systematically improve Threads content using real performance data and algorithm-aware drafting

仅含说明Marketing & SalesData & Analytics
AI 生成的概览

利用抓取的账号表现数据、算法规则和 AI 语气检查来优化 Threads 帖子。

功能
该技能跟踪 Threads 账号的真实帖子表现，识别对该账号有效的内 容模式，并据此起草新帖子。它会依据算法限流规则检查草稿，标记常见的 AI 写作痕迹，并给出预测评分，涵盖私信转发性、转发可能性、合规性和预估触达。它还说明了多段帖子的串联方式以及每两周一次的数据刷新。
适用场景
适用于起草 Threads 帖子、分析自己的 Threads 表现，或在发布前给草稿打分。它面向希望依据自身账号数据而非通用建议来做内容决策的创作者。
运行要求
需要一个 Threads 账号、导出为 cookies.json 的会话 Cookie，以及 THREADS_USERNAME 环境变量。文档描述了安装脚本、抓取脚本和每两周一次的定时任务，但该技能仅提供说明，未附带任何脚本或资源。

Threads Growth Skill

Skill by ara.so — Marketing Skills collection.

Data-driven Threads content optimization that learns from your actual post performance. Uses browser automation to scrape Insights, identifies winning patterns, and drafts algorithm-compliant posts with AI-tone detection.

What this does

  • Performance tracking: Scrapes your real Threads Insights (views, likes, replies, shares)
  • Pattern detection: Identifies what works for YOUR account (not generic advice)
  • Smart drafting: Creates posts using your patterns + algorithm red-line checks + AI-tone detection
  • Automated updates: Bi-weekly cron keeps your performance database current
  • Share optimization: Prioritizes DM forwardability (3-5x weight vs likes per Mosseri 2025)

Installation

bash
# Clone into Hermes skills directorygit clone https://github.com/krumjahn/threads-growth-skill ~/.hermes/skills/social-media/threads-growth
# OR create directory structure manuallymkdir -p ~/.hermes/skills/social-media/threads-growth/{references,scripts}

First-time setup

1. Export Threads cookies

Required for authentication (cookies last ~60 days):

bash
# Install Cookie-Editor browser extension# Navigate to threads.net (logged in)# Export cookies as JSON# Save to ~/.hermes/skills/social-media/threads-growth/cookies.json

2. Run setup script

bash
cd ~/.hermes/skills/social-media/threads-growthbash scripts/setup.sh

This will:

  • Validate cookie format
  • Test authentication
  • Run first Insights scrape (~5 min)
  • Create references/winning-formats.md
  • Set up bi-weekly cron job

3. Configure environment

bash
# Set your Threads usernameexport THREADS_USERNAME="your_username"
# Optional: Custom data pathexport THREADS_DATA_PATH="$HOME/.hermes/skills/social-media/threads-growth"

Key files

threads-growth/├── SKILL.md                        # This file├── cookies.json                    # Your session cookies (gitignored)├── references/│   └── winning-formats.md          # Performance database (auto-updated)└── scripts/    ├── setup.sh                    # One-time setup    └── scrape_insights.sh          # Insights scraper

Core workflows

Draft a new post

bash
# User says: "draft a threads post about [topic]"# Skill loads winning-formats.md# Generates draft following your patterns# Runs algorithm + AI-tone checks# Returns scored draft

Example pattern matching:

markdown
# From winning-formats.md (auto-generated)Top format: Anti-Demo Hook + Problem/Solution + ProofAvg engagement: 2,340 views, 186 likes, 23 replies, 12 shares
Structure:1. Failure state (specific)2. What you discovered3. How to implement (3-5 steps)4. Proof/result (concrete metric)
Best performing: Posts with DM-forwardable utility (how-to, tool lists, templates)

Algorithm red-line check

12 hard suppression rules from Meta's 2025 guidelines:

bash
# Automatically checked in every draft:# 1. No external links in first post (only replies OK)# 2. No bare URLs (use "link in bio" instead)# 3. No follower begging ("follow me", "help me hit X followers")# 4. No engagement bait ("comment if you agree", "double tap")# 5. No fake news/misinformation signals# 6. No sensationalized language (all caps, excessive punctuation)# 7. No violent/graphic imagery# 8. No sexual content# 9. No hate speech# 10. No spam patterns (repetitive, copy-paste)# 11. No impersonation# 12. No coordinated manipulation

AI-tone detection

Flags and fixes 15 common AI tells before posting:

bash
# Sentence-level tells:- "Delve", "utilize", "leverage" → Replace with plain language- "It's worth noting that" → Cut- "In today's digital landscape" → Cut or rephrase- "Game-changer", "unlock" → Use concrete verbs- Passive voice → Convert to active
# Structure-level tells:- Lists starting "1. First..." → Vary openings- Three parallel paragraphs → Break rhythm- Summary ending "In conclusion..." → Cut- Overly balanced pros/cons → Take a stance- Academic hedging ("perhaps", "somewhat") → Be direct

Score a draft

bash
# Before publishing, get predictive score:# - DM forwardability (0-10)# - Repost likelihood (0-10)# - Algorithm compliance (pass/fail)# - AI-tone flags (count)# - Estimated reach multiplier (vs your baseline)

Insights scraper

Manual run

bash
cd ~/.hermes/skills/social-media/threads-growthbash scripts/scrape_insights.sh

What it collects

bash
# For each post (last 50):- Post ID- Publish timestamp- Text content- Views (reach)- Likes- Replies (total + depth)- Shares (DM forwards + reposts)- Save count

Auto-update cron

bash
# Installed during setup:# Runs every 2 weeks (Sunday 2 AM)0 2 * * 0 [ $(($(date +\%s) / 604800 \% 2)) -eq 0 ] && bash ~/.hermes/skills/social-media/threads-growth/scripts/scrape_insights.sh

Hook framework

Built-in post structures ranked by performance:

Hook TypeUse CaseAvg. Multiplier
Anti-DemoYou hit failure → found fix1.5x
Secret KnowledgeInsider info + steps1.4x
Truth/ComparisonA vs B, clear winner1.2x
Builder JourneyWorkflow switch + results1.1x
Link DropJust a link0.2x (avoid)

Anti-Demo example structure

markdown
I wasted 6 weeks posting at "optimal times"(my reach actually dropped 40%)
Then I found this:
Threads doesn't care about your timezone.It cares about YOUR audience's active hours.
How to find them:1. Export your Insights (this skill does it)2. Map reply times (not post times)3. Post 1 hour before peak reply window4. Track for 2 weeks
My reach jumped 2.3x in 10 days.Same content. Better timing.

Signal weighting

Based on Mosseri 2025 algorithm updates:

bash
# DM forwards: 3-5x weight of likes# Deep replies (3+ back-and-forth): 2x weight of top-level# Saves: 2x weight of likes# Reposts: 1.5x weight of likes# Likes: 1x baseline# Views: Outcome, not signal

Optimization priority:

  1. DM forwardability (utility, tools, templates)
  2. Conversation depth (ask questions, provide incomplete info)
  3. Save-worthiness (reference value)
  4. Repost-ability (identity signal for sharer)
  5. Likability (lowest priority)

Multi-part Threads

For posts >500 chars:

bash
# Skill automatically chains parts# Each part: 450-500 chars (leaves buffer)# Structure:# Part 1: Hook + problem# Part 2-N: Steps/details# Final part: Proof/CTA
# Algorithm treats as one post if:# - Published within 60 seconds# - No external engagement between parts# - Same thread chain

Configuration options

bash
# Environment variables (optional)export THREADS_USERNAME="your_username"          # Requiredexport THREADS_DATA_PATH="$HOME/.hermes/..."    # Default shownexport THREADS_SCRAPE_LIMIT=50                   # Posts to fetch (default 50)export THREADS_MIN_PERFORMANCE_SAMPLE=10         # Min posts for pattern detectionexport THREADS_COOKIE_WARNING_DAYS=7             # Days before expiry to warn

Troubleshooting

Cookie expiry

bash
# Symptoms: Scraper fails with 401/403# Fix: Re-export cookies from browser# 1. Login to threads.net# 2. Export cookies (Cookie-Editor)# 3. Save to cookies.json# 4. Run: bash scripts/scrape_insights.sh

Missing Insights data

bash
# Threads only shows Insights for posts with 100+ views# For new accounts: Wait until you have 10+ qualifying posts# Check: references/winning-formats.md for sample size
# If sample size < 10:# - Patterns unreliable# - Skill uses general best practices until enough data

Scraper hanging

bash
# Usually: Slow network or Threads rate limiting# Fix 1: Kill process, wait 5 min, retry# Fix 2: Reduce THREADS_SCRAPE_LIMIT to 25
pkill -f scrape_insightssleep 300bash scripts/scrape_insights.sh

Pattern detection not working

bash
# Need minimum viable sample:# - 10+ posts with Insights# - At least 5 with 500+ views# - Published over 2+ weeks
# Check your data:cat references/winning-formats.md | grep "Sample size"

Algorithm knowledge base

Adapted from AK-Threads-Booster:

Boost signals

  • Original thinking (not reposted content)
  • Conversation starters (questions, incomplete info)
  • DM-forwardable utility
  • Identity-signal repostability
  • Consistent posting (3-5x/week better than daily)

Suppression signals

  • External links in main post
  • Engagement bait
  • Follower begging
  • Repetitive content
  • Low reply rate (<2%)

Timing myths

  • "Post at 9 AM" → Wrong. Post 1hr before YOUR audience's active window
  • "Post daily" → Wrong. 3-5x/week with high quality beats daily low quality
  • "First hour decides reach" → Partially true. First 3 hours matter most.

Example: Complete workflow

bash
# 1. User requests"Draft a threads post about my new AI coding workflow"
# 2. Skill loads patternscat references/winning-formats.md# Identifies: Anti-Demo hook + 3-step process performs best for you
# 3. Generates draftI tried using ChatGPT for code review.It missed 3 critical bugs in production code.
Switched to Claude + this prompt structure:1. Show the code2. Ask "what breaks first?"3. Request refactor with error handling
Caught 12 issues ChatGPT missed.Same AI. Better questions.
# 4. Runs checks✓ Algorithm compliance (no red-line violations)✓ AI-tone scan (0 flags)✓ DM forwardability: 8/10 (actionable steps)✓ Estimated reach: 1.4x your baseline
# 5. User approves and posts

Data privacy

  • All data stored locally (~/.hermes/skills/social-media/threads-growth)
  • Cookies never transmitted (used only for Threads authentication)
  • Insights data never shared
  • No tracking, no analytics

Performance baseline

Typical results after 6 weeks:

  • 1.5-2.5x reach improvement
  • 2-3x engagement rate increase
  • 40-60% reduction in low-performing posts
  • Better pattern recognition every 2-week cycle

Updates

bash
# Pull latest versioncd ~/.hermes/skills/social-media/threads-growthgit pull origin main
# Refresh patterns (optional)bash scripts/scrape_insights.sh

Built by @krumjahn — Running live since April 2026. MIT License.

来源与署名

来源：reason-machines/marketing-skills位于skills/threads-growth-skill提交97301f4

许可证： 无许可证

内容归原作者所有。SourceWeft 从公开仓库中收录这些内容。

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