twitter-cultivate

Name: twitter-cultivate
Author: PHY041

18stars2forks

How to install twitter-cultivate?

phy041/claude-agent-skills/twitter-cultivate

$npx -y skills add PHY041/claude-agent-skills --skill twitter-cultivate

Installs into the current project.

Summary

Twitter/X account cultivation and growth system. Checks account health (TweepCred, shadowban), analyzes tweets, finds engagement opportunities, recommends unfollows, and tracks progress. Triggers on "/twitter-cultivate", "check my twitter", "twitter health", "grow my twitter", "t

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SKILL.md

1	# Twitter Account Cultivation Skill
2
3	Systematic approach to growing Twitter presence based on the open-source algorithm analysis.
4
5	---
6
7	## Prerequisites
8
9	- Twikit installed (`pip install twikit`)
10	- Twitter cookies exported to: `~/crawlee-social-scraper/twitter_cookies.json`
11	(or wherever your Twikit setup lives — set `TWIKIT_DIR` env var)
12	- Your Twitter handle configured in state file
13
14	---
15
16	## Core Metrics to Track
17
18	\| Metric \| Healthy Range \| Impact \|
19	\|--------\|---------------\|--------\|
20	\| Following/Follower Ratio \| < 0.6 \| TweepCred score \|
21	\| Avg Views/Tweet \| 20-40% of followers \| Algorithm favor \|
22	\| Media Tweet % \| > 50% \| 10x engagement \|
23	\| Link Tweet % \| < 20% \| Avoid algorithm penalty \|
24	\| Reply Rate \| Reply to 100% of comments \| +75 weight boost \|
25
26	---
27
28	## Workflow: Full Health Check
29
30	### Step 1: Analyze Account
31
32	```bash
33	cd ~/crawlee-social-scraper
34	source venv/bin/activate
35	python twitter_cultivate.py analyze <YOUR_USERNAME>
36	```
37
38	### Step 2: Check Shadowban Status
39
40	```bash
41	python twitter_cultivate.py shadowban <YOUR_USERNAME>
42	```
43
44	Or manually check: [shadowban.yuzurisa.com](https://shadowban.yuzurisa.com)
45
46	### Step 3: Analyze Following List
47
48	```bash
49	python twitter_cultivate.py unfollow-recs <YOUR_USERNAME> --limit 50
50	```
51
52	Recommends accounts to unfollow based on:
53	- No tweets in 90+ days (inactive)
54	- Never interacted with you (no value)
55	- Low follower count + high following (likely bots)
56	- No mutual engagement
57
58	### Step 4: Find Engagement Opportunities
59
60	```bash
61	python twitter_cultivate.py opportunities --niche "AI,startup,founder"
62	```
63
64	Finds:
65	- Rising tweets in your niche to reply to
66	- Accounts similar to yours to engage with
67	- Trending topics you can contribute to
68
69	### Step 5: Generate Weekly Report
70
71	```bash
72	python twitter_cultivate.py report
73	```
74
75	---
76
77	## Account Health Scoring
78
79	Based on Twitter's open-source algorithm:
80
81	### TweepCred Estimation
82
83	```
84	Score = PageRank × (1 / max(1, following/followers))
85	```
86
87	\| Ratio \| Estimated TweepCred \| Algorithm Treatment \|
88	\|-------\|---------------------\|---------------------\|
89	\| < 0.6 \| 65+ (healthy) \| All tweets considered \|
90	\| 0.6 - 2.0 \| 40-65 \| Limited consideration \|
91	\| 2.0 - 5.0 \| 20-40 \| Severe penalty \|
92	\| > 5.0 \| < 20 \| Only 3 tweets max \|
93
94	---
95
96	## Unfollow Strategy
97
98	### Priority 1: Inactive Accounts
99	- No tweets in 90+ days
100	- Safe to unfollow, no relationship loss
101
102	### Priority 2: Non-Engagers
103	- Never liked/replied to your tweets
104	- One-way relationship
105
106	### Priority 3: Low-Value Follows
107	- High following/low followers (bot-like)
108	- No content in your niche
109
110	### Execution Plan
111
112	```
113	Week 1: Unfollow 30 inactive accounts
114	Week 2: Unfollow 30 non-engagers
115	Week 3: Unfollow 30 low-value follows
116	Week 4: Evaluate ratio improvement
117	```
118
119	Target: Get ratio below 2.0, ideally below 0.6
120
121	---
122
123	## Content Strategy (Algorithm-Optimized)
124
125	### Tweet Types by Algorithm Weight
126
127	\| Type \| Weight \| Recommendation \|
128	\|------\|--------\|----------------\|
129	\| Tweet that gets author reply \| +75 \| ALWAYS reply to comments \|
130	\| Tweet with replies \| +13.5 \| Ask questions \|
131	\| Tweet with profile clicks \| +12.0 \| Be intriguing \|
132	\| Tweet with long dwell time \| +10.0 \| Use threads \|
133	\| Retweet \| +1.0 \| Low value \|
134	\| Like \| +0.5 \| Lowest value \|
135
136	### Content Mix
137
138	- 40% Value content (insights, tips, frameworks)
139	- 30% Engagement bait (questions, polls, hot takes)
140	- 20% Build-in-public (progress updates, wins, losses)
141	- 10% Promotion (with value attached)
142
143	### Media Requirements
144
145	Every tweet should have ONE of:
146	- Image (infographic, screenshot, meme)
147	- Video (< 2:20, hook in first 3 sec)
148	- Poll
149	- Thread (7-10 tweets)
150
151	NEVER post text-only tweets
152
153	---
154
155	## Posting Schedule
156
157	### Optimal Times (General)
158
159	\| Day \| Best Time \| Second Best \|
160	\|-----\|-----------\|-------------\|
161	\| Tuesday \| 9-10 AM \| 1-2 PM \|
162	\| Wednesday \| 9-10 AM \| 3-4 PM \|
163	\| Thursday \| 10-11 AM \| 2-3 PM \|
164
165	### First 10 Minutes Protocol
166
167	```
168	1. Post at optimal time
169	2. Immediately self-reply with additional insight
170	3. Reply to ANY comment within 10 minutes

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twitter-cultivate

18stars2forks

View on GitHub

How to install twitter-cultivate?

phy041/claude-agent-skills/twitter-cultivate

$npx -y skills add PHY041/claude-agent-skills --skill twitter-cultivate

Installs into the current project.

Summary

Files · 1

View on GitHub

SKILL.md

1	# Twitter Account Cultivation Skill
2
3	Systematic approach to growing Twitter presence based on the open-source algorithm analysis.
4
5	---
6
7	## Prerequisites
8
9	- Twikit installed (`pip install twikit`)
10	- Twitter cookies exported to: `~/crawlee-social-scraper/twitter_cookies.json`
11	(or wherever your Twikit setup lives — set `TWIKIT_DIR` env var)
12	- Your Twitter handle configured in state file
13
14	---
15
16	## Core Metrics to Track
17
18	\| Metric \| Healthy Range \| Impact \|
19	\|--------\|---------------\|--------\|
20	\| Following/Follower Ratio \| < 0.6 \| TweepCred score \|
21	\| Avg Views/Tweet \| 20-40% of followers \| Algorithm favor \|
22	\| Media Tweet % \| > 50% \| 10x engagement \|
23	\| Link Tweet % \| < 20% \| Avoid algorithm penalty \|
24	\| Reply Rate \| Reply to 100% of comments \| +75 weight boost \|
25
26	---
27
28	## Workflow: Full Health Check
29
30	### Step 1: Analyze Account
31
32	```bash
33	cd ~/crawlee-social-scraper
34	source venv/bin/activate
35	python twitter_cultivate.py analyze <YOUR_USERNAME>
36	```
37
38	### Step 2: Check Shadowban Status
39
40	```bash
41	python twitter_cultivate.py shadowban <YOUR_USERNAME>
42	```
43
44	Or manually check: [shadowban.yuzurisa.com](https://shadowban.yuzurisa.com)
45
46	### Step 3: Analyze Following List
47
48	```bash
49	python twitter_cultivate.py unfollow-recs <YOUR_USERNAME> --limit 50
50	```
51
52	Recommends accounts to unfollow based on:
53	- No tweets in 90+ days (inactive)
54	- Never interacted with you (no value)
55	- Low follower count + high following (likely bots)
56	- No mutual engagement
57
58	### Step 4: Find Engagement Opportunities
59
60	```bash
61	python twitter_cultivate.py opportunities --niche "AI,startup,founder"
62	```
63
64	Finds:
65	- Rising tweets in your niche to reply to
66	- Accounts similar to yours to engage with
67	- Trending topics you can contribute to
68
69	### Step 5: Generate Weekly Report
70
71	```bash
72	python twitter_cultivate.py report
73	```
74
75	---
76
77	## Account Health Scoring
78
79	Based on Twitter's open-source algorithm:
80
81	### TweepCred Estimation
82
83	```
84	Score = PageRank × (1 / max(1, following/followers))
85	```
86
87	\| Ratio \| Estimated TweepCred \| Algorithm Treatment \|
88	\|-------\|---------------------\|---------------------\|
89	\| < 0.6 \| 65+ (healthy) \| All tweets considered \|
90	\| 0.6 - 2.0 \| 40-65 \| Limited consideration \|
91	\| 2.0 - 5.0 \| 20-40 \| Severe penalty \|
92	\| > 5.0 \| < 20 \| Only 3 tweets max \|
93
94	---
95
96	## Unfollow Strategy
97
98	### Priority 1: Inactive Accounts
99	- No tweets in 90+ days
100	- Safe to unfollow, no relationship loss
101
102	### Priority 2: Non-Engagers
103	- Never liked/replied to your tweets
104	- One-way relationship
105
106	### Priority 3: Low-Value Follows
107	- High following/low followers (bot-like)
108	- No content in your niche
109
110	### Execution Plan
111
112	```
113	Week 1: Unfollow 30 inactive accounts
114	Week 2: Unfollow 30 non-engagers
115	Week 3: Unfollow 30 low-value follows
116	Week 4: Evaluate ratio improvement
117	```
118
119	Target: Get ratio below 2.0, ideally below 0.6
120
121	---
122
123	## Content Strategy (Algorithm-Optimized)
124
125	### Tweet Types by Algorithm Weight
126
127	\| Type \| Weight \| Recommendation \|
128	\|------\|--------\|----------------\|
129	\| Tweet that gets author reply \| +75 \| ALWAYS reply to comments \|
130	\| Tweet with replies \| +13.5 \| Ask questions \|
131	\| Tweet with profile clicks \| +12.0 \| Be intriguing \|
132	\| Tweet with long dwell time \| +10.0 \| Use threads \|
133	\| Retweet \| +1.0 \| Low value \|
134	\| Like \| +0.5 \| Lowest value \|
135
136	### Content Mix
137
138	- 40% Value content (insights, tips, frameworks)
139	- 30% Engagement bait (questions, polls, hot takes)
140	- 20% Build-in-public (progress updates, wins, losses)
141	- 10% Promotion (with value attached)
142
143	### Media Requirements
144
145	Every tweet should have ONE of:
146	- Image (infographic, screenshot, meme)
147	- Video (< 2:20, hook in first 3 sec)
148	- Poll
149	- Thread (7-10 tweets)
150
151	NEVER post text-only tweets
152
153	---
154
155	## Posting Schedule
156
157	### Optimal Times (General)
158
159	\| Day \| Best Time \| Second Best \|
160	\|-----\|-----------\|-------------\|
161	\| Tuesday \| 9-10 AM \| 1-2 PM \|
162	\| Wednesday \| 9-10 AM \| 3-4 PM \|
163	\| Thursday \| 10-11 AM \| 2-3 PM \|
164
165	### First 10 Minutes Protocol
166
167	```
168	1. Post at optimal time
169	2. Immediately self-reply with additional insight
170	3. Reply to ANY comment within 10 minutes

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6 picks

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