Agent skill

Wjs X Increasing Follower

A skill your agent uses when 王建硕 wants to systematically grow his X (Twitter) followers by running numbered, A/B-testable growth experiments and tracking which ones actually work.

MITAuto-check passedProduct & Project Management

Install Wjs X Increasing Follower

skills CLI

$ npx skills add jianshuo/claude-skills --skill wjs-x-increasing-follower -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI

$ gh skill install jianshuo/claude-skills wjs-x-increasing-follower --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy

$ git clone --depth 1 https://github.com/jianshuo/claude-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/wjs-x-increasing-follower .claude/skills/wjs-x-increasing-follower && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Paste into Claude Code

Install the "wjs-x-increasing-follower" agent skill from https://github.com/jianshuo/claude-skills/tree/main/wjs-x-increasing-follower into .claude/skills/wjs-x-increasing-follower/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "wjs-x-increasing-follower", then confirm the skill loads.

Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

$skill-installer

$skill-installer install https://github.com/jianshuo/claude-skills/tree/main/wjs-x-increasing-follower

Type this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.

skills CLI

$ npx skills add jianshuo/claude-skills --skill wjs-x-increasing-follower -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install jianshuo/claude-skills wjs-x-increasing-follower --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/jianshuo/claude-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/wjs-x-increasing-follower .agents/skills/wjs-x-increasing-follower && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "wjs-x-increasing-follower" agent skill from https://github.com/jianshuo/claude-skills/tree/main/wjs-x-increasing-follower into .agents/skills/wjs-x-increasing-follower/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "wjs-x-increasing-follower", then confirm the skill loads.

Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add jianshuo/claude-skills --skill wjs-x-increasing-follower -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install jianshuo/claude-skills wjs-x-increasing-follower --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/jianshuo/claude-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/wjs-x-increasing-follower .cursor/skills/wjs-x-increasing-follower && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "wjs-x-increasing-follower" agent skill from https://github.com/jianshuo/claude-skills/tree/main/wjs-x-increasing-follower into .cursor/skills/wjs-x-increasing-follower/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "wjs-x-increasing-follower", then confirm the skill loads.

Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

gemini skills install

$ gemini skills install https://github.com/jianshuo/claude-skills.git --path wjs-x-increasing-follower

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add jianshuo/claude-skills --skill wjs-x-increasing-follower -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install jianshuo/claude-skills wjs-x-increasing-follower --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/jianshuo/claude-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/wjs-x-increasing-follower .gemini/skills/wjs-x-increasing-follower && rm -rf skills-src

Use ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.

Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/

Paste into Gemini CLI

Install the "wjs-x-increasing-follower" agent skill from https://github.com/jianshuo/claude-skills/tree/main/wjs-x-increasing-follower into .gemini/skills/wjs-x-increasing-follower/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "wjs-x-increasing-follower", then confirm the skill loads.

Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

GitHub CLI

$ gh skill install jianshuo/claude-skills wjs-x-increasing-follower

Installs for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).

skills CLI

$ npx skills add jianshuo/claude-skills --skill wjs-x-increasing-follower -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ git clone --depth 1 https://github.com/jianshuo/claude-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/wjs-x-increasing-follower .github/skills/wjs-x-increasing-follower && rm -rf skills-src

Use ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.

GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/

Paste into GitHub Copilot

Install the "wjs-x-increasing-follower" agent skill from https://github.com/jianshuo/claude-skills/tree/main/wjs-x-increasing-follower into .github/skills/wjs-x-increasing-follower/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "wjs-x-increasing-follower", then confirm the skill loads.

GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add jianshuo/claude-skills --skill wjs-x-increasing-follower -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install jianshuo/claude-skills wjs-x-increasing-follower --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/jianshuo/claude-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/wjs-x-increasing-follower .opencode/skills/wjs-x-increasing-follower && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "wjs-x-increasing-follower" agent skill from https://github.com/jianshuo/claude-skills/tree/main/wjs-x-increasing-follower into .opencode/skills/wjs-x-increasing-follower/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "wjs-x-increasing-follower", then confirm the skill loads.

OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

Facts

Skill name: wjs-x-increasing-follower
GitHub stars: 131
Token cost: ~1.4k tokens
SKILL.md length: 387 words
Files: 12 (incl. scripts)
Skills in repo: 38
Repo updated: Aug 20, 2026
First seen: Oct 7, 2026
Licence: MIT

At a glance

A skill your agent uses when 王建硕 wants to systematically grow his X (Twitter) followers by running numbered, A/B-testable growth experiments and tracking which ones actually work.

Works in 6 steps: 吃数据（CSV → daily.jsonl） → 出 to-do（提实验） → 上线一个实验（含抓 before） → …
王建硕 wants to systematically grow his X (Twitter) followers by running numbered
SKILL.md covers Core Principle, 数据从哪来（关键约束）, When This Skill Fires and When NOT to use, plus 4 more sections
Runs Python and Shell scripts from its folder; calls python3

What it does

Wjs X Increasing Follower is an agent skill from jianshuo/claude-skills. Use when 王建硕 wants to systematically grow his X (Twitter) followers by running numbered, A/B-testable growth experiments and tracking which ones actually work. Every action gets a number, a hypothesis, a target metric, a before-state (for rollback), and a verdict. The North-Star metric is the new-follower ÷ profile-visit ratio (conversion) — every profile change is judged against it. Daily it ingests the X Analytics CSV export, scores each running experiment, and recommends keep / rollback. Triggers — "涨粉", "增加 X…

Its SKILL.md is about 1.4k tokens, which your agent loads only when the skill is triggered. The skill folder holds 14 other files, including scripts (for example `scripts/_common.py`, `scripts/daily-check.sh` and `scripts/evaluate.py`).

It sits in Product & Project Management, covering CSV and tabular files, A/B testing and Product metrics. It works with X (Twitter). The repository describes itself as: 13 Claude Code skills for video production (transcribe / translate / dub / multicam / subtitles / reframe) + WeChat publishing. Compatible with Claude Code, OpenAI Codex CLI… The licence is MIT.

When your agent uses it

王建硕 wants to systematically grow his X (Twitter) followers by running numbered
A/B-testable growth experiments and tracking which ones actually work
Follower growth
A/B test my profile

Example prompts

“增加 X 粉丝”
“X 涨粉实验”
“follower growth”
“/wjs-x-increasing-follower”

Requirements

Python 3
A Bash shell

Workflow steps

6 steps, taken from the step headings in SKILL.md.

吃数据（CSV → daily.jsonl）
出 to-do（提实验）
上线一个实验（含抓 before）
每天喂数 + 重算（见也用于「每日检查」）
判决与回滚
看板

What it can do on your machine

Read from SKILL.md and the folder at commit b2690f5. It shows what the files ask for, not the result of running them.

Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Ships 6 files in scripts/ (Python and Shell), which the agent can run.
Shell commands in SKILL.md call:
- python3
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Wjs X Increasing Follower loads about 1.4k tokens when it runs. Until then it costs about 161 tokens; SKILL.md has 387 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~161
When it runs · the whole SKILL.md, loaded when a task matches: ~1.4k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

The full file from jianshuo/claude-skills at commit b2690f5, republished under its MIT licence (© jianshuo). 387 words, ~1,399 tokens.

Download SKILL.mdSave it as .claude/skills/wjs-x-increasing-follower/SKILL.md (or your agent's skills folder). This skill also uses 11 other files; get the full folder from GitHub.

name: wjs-x-increasing-follower
description: Use when 王建硕 wants to systematically grow his X (Twitter) followers by running numbered, A/B-testable growth experiments and tracking which ones actually work. Every action gets a number, a hypothesis, a target metric, a before-state (for rollback), and a verdict. The North-Star metric is the new-follower ÷ profile-visit ratio (conversion) — every profile change is judged against it. Daily it ingests the X Analytics CSV export, scores each running experiment, and recommends keep / rollback. Triggers — "涨粉", "增加 X 粉丝", "X 涨粉实验", "follower growth", "A/B test my profile", "今天的涨粉检查", "/wjs-x-increasing-follower".

wjs-x-increasing-follower

把「涨粉」当工程做：每个改动是一个带编号的实验，有假设、有目标指标、有 before（可回滚）、有判决。不靠感觉，靠数。

Core Principle

单账号没法做平行 A/B —— 只能做时间轴上的前后对比。 所以唯一可信的北极星指标是 转化率 = 新增关注 ÷ 主页访问（ratio）：它对爆款流量免疫。一条推爆了带来一堆访问，ratio 不一定动；但 bio 改好了，每个来访的人更愿意关注，ratio 一定动。

所以指标分层（每个 action 必须声明自己被哪个指标考核）：

Action 类型	拨动的杠杆	用什么考核
profile（bio / 名字 / 头像 / banner / 置顶 / URL / 地点）	转化	ratio（北极星，抗爆款）
posting（格式 / 钩子 / 频率 / thread vs 单条）	触达	profile visits + impressions（ratio 当护栏，别把转化拖垮）
engagement（回复 / 关注别人 / 互动）	触达	new follows + visits
timing（发布时间）	触达	profile visits

诚实护栏（写死在 evaluate.py 里）： 用中位数不用均值（一天爆款骗不了判决）；够 7 天 / 够数据才下判决；同指标实验窗口重叠 → 打 confounded 标记；只给「方向性」结论，不号称因果。

回滚是一等公民。 每个 action 存了精确的 before 值，#N 永远能还原。判 ❌ rollback 先问王建硕，绝不静默改他的 bio。

数据从哪来（关键约束）

ratio 这个数 X API / xurl 拿不到 —— 只活在 Analytics 看板里。所以靠 CSV 导出：打开 x.com/i/account_analytics → Overview → 右上角下载图标（7D/2W/4W/3M/1Y 想要哪段先选好）→ 导出 CSV → 丢进 inbox/（或直接给路径）。

When This Skill Fires

王建硕说「涨粉」「搞个 X 涨粉实验」「A/B 测一下我的 profile」「今天的涨粉检查」
跑 /wjs-x-increasing-follower
设了 /schedule daily /wjs-x-increasing-follower（见末尾「每日检查」）

When NOT to use

只是要发一条推 → /wjs-tweeting-from-articles 或直接 xurl post
推广 skill → /wjs-promoting-skills / /publish-skill
把文章分发到各平台 → /wjs-syndicating-articles

Workflow

所有脚本在 scripts/，状态在 state/。先 cd 到 skill 目录。

Step 1 — 吃数据（CSV → daily.jsonl）

bash

python3 scripts/ingest-csv.py /path/to/export.csv

脚本模糊匹配列名（Profile visits / New follows / Impressions / Followers），按日期 upsert，自动算 ratio。它会打印它认的列映射 —— 看一眼对不对，不对就 --visits-col "X" --follows-col "Y"。重跑更长的导出会覆盖重叠的天，安全。

Step 2 — 出 to-do（提实验）

看 state/daily.jsonl 现状，给王建硕一份带编号的实验菜单。每条必须有：category / title / hypothesis / metric。原则：

一次只让少数 profile 实验在跑（同指标重叠会互相污染读数）。
假设要可证伪：「concrete 一行证明比模糊 tagline 转化高」✅；「让 bio 更好」❌。
profile 类先于 posting 类 —— 转化是地基，先把来访的人接住，再去放大流量。

入账（自动分配编号，别手改 jsonl）：

bash

python3 scripts/ledger.py add --category profile --metric ratio \
  --title "Bio: 开头一行放硬证明" \
  --hypothesis "访客看到具体成绩比看到口号更愿意关注"

实验菜单参考（按杠杆分）：

profile/ratio：bio 重写（钩子前置 / 硬证明 / CTA「关注看 X」）、显示名加身份锚、头像换正脸高清、banner 放一句话价值主张、置顶换最强 thread、URL 指向落地页。
posting/visits：发布格式（thread vs 单条）、首句钩子、带图 vs 纯文、话题聚焦。
engagement/follows：固定回复某圈层、主动关注目标人群、参与热门话题。
timing/visits：早 9 点 vs 晚 9 点、工作日 vs 周末。

state/SCOREBOARD.md 的「To-do」区就是这份清单的落地版（见 Step 6）。

Step 3 — 上线一个实验（含抓 before）

先抓 before-state（profile 字段）：

bash

xurl "/2/users/me?user.fields=name,description,url,location,profile_image_url,pinned_tweet_id"

记下当前值。然后真正去改：

bio / 名字 / URL / 地点 —— 可走 API（OAuth1 v1.1）：
bash
```
xurl --auth oauth1 -X POST "/1.1/account/update_profile.json?description=<urlencoded>"
```
（name / url / location 同理。失败/没 enroll OAuth1 → 退回 App 里手改，照样记账。）
头像 / banner / 置顶推 —— 没有可靠公开 API，在 App / 网页里手改，skill 只负责记 before/after + 跟踪。

记账（盖上 applied 日期 + before 值）：

bash

python3 scripts/ledger.py apply 1 \
  --before-field description --before-value "<原 bio 原文>" \
  --after-value "<新 bio>"

之后这个实验进入测量期：baseline = applied 前 window_days(默认7) 天的指标中位数；判决要等 applied 后攒够数据。

Show full SKILL.md (137 more words)Show less

Step 4 — 每天喂数 + 重算（见也用于「每日检查」）

bash

scripts/daily-check.sh

它会：ingest inbox/ 里的新 CSV（用完归档到 inbox/done/）→ evaluate.py --write-verdict 把方向性判决写回账本 → 重生成 SCOREBOARD.md。注意：它只写判决，不动状态 —— keep/rollback 是人的决定。

Step 5 — 判决与回滚

bash

python3 scripts/evaluate.py          # 看每个在跑实验：baseline vs post，Δ%，verdict

判决（相对 baseline 中位数）：Δ ≥ +10% → keep；Δ ≤ -10% → rollback；之间 → flat。注意 ⚠ confounded / ⚠ thin baseline 标记，有就别太当真，延长窗口或停掉重叠实验再测。

keep：python3 scripts/ledger.py keep 1 --note "+58% 转化"
rollback（先问王建硕！）：确认后，用 apply 时存的 before 值还原（API 或手改），再 python3 scripts/ledger.py rollback 1 --note "转化掉了，还原 bio"（命令会打印要还原的 before 值）
flat：保留观察，或归为「不影响」撤掉。

Step 6 — 看板

bash

python3 scripts/scoreboard.py        # 写并打印 state/SCOREBOARD.md

四块：📈 现状（最新 ratio / 7 日中位 ratio / 粉丝数）、🧪 在跑实验（baseline/post/Δ/判决/告警）、✅ To-do 待办（proposed 清单）、📚 已结案（kept / rolled_back）。给王建硕看就发这个文件。

数据模型（state/）

daily.jsonl —— 一天一行：{date, profile_visits, new_follows, ratio, impressions, followers_total}。
actions.jsonl —— 一实验一行：{id, category, title, hypothesis, metric, window_days, before:{field,value}, after:{value}, applied, status, evaluated, verdict, notes}。状态流：proposed → active → (kept | rolled_back)。
SCOREBOARD.md —— 生成物，人看的。

默认参数（要改就传 flag）

评估窗口 --window-days 默认 7 天
keep/rollback 阈值 --threshold 默认 ±0.10（相对 ±10%）
下判决前最少 post 数据 --min-post-days 默认 3 天
回滚 永远先问，不静默

每日检查（可选调度）

/schedule daily /wjs-x-increasing-follower —— 每天调起本 skill：跑 daily-check.sh，把 SCOREBOARD.md 现状 + 任何判 ❌ rollback 的实验 发给王建硕并征求是否回滚。CSV 还是得他手动导出丢进 inbox/（ratio 数据 API 拿不到，这步绕不开）。

Files

SKILL.md and 11 other files (scripts) in wjs-x-increasing-follower of jianshuo/claude-skills.

SKILL.md
inbox/.gitignore
scripts/_common.py
scripts/daily-check.sh
scripts/evaluate.py
scripts/ingest-csv.py
scripts/ledger.py
scripts/scoreboard.py
state/.gitignore
state/SCOREBOARD.md
state/actions.jsonl
state/daily.jsonl

Open the folder on GitHubat commit b2690f5

Compare with similar skills

Wjs X Increasing Follower next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Wjs X Increasing Follower compared with similar skills
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Wjs X Increasing Follower this skilljianshuo/claude-skills	131	—	~1.4k	Automated safety check: Pass	MIT	1 mo ago
Physicalai Train Benchmarking A Policyopen-edge-platform/physical-ai-studio	133	—	~1.2k	Automated safety check: Pass	Apache-2.0	today
Growth Marketerborghei/Claude-Skills	891	—	~2.6k	Automated safety check: Pass	MIT	4 days ago
Data And Funnel Analyticsmanojbajaj95/claude-gtm-plugin	105	—	~2.9k	Automated safety check: Pass	MIT	23 days ago
Define Hypothesisproduct-on-purpose/pm-skills	716	—	~966	Automated safety check: Pass	Apache-2.0	3 days ago
Weekly Creative Reportreal-simple-labs/parker-brain	102	—	~4.7k	Automated safety check: Pass	Custom licence	yesterday

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Build a growth strategy with frameworks, metrics, and experimentation.
713 GitHub stars~2.1k tokensUpdated 23 days ago
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More from jianshuo/claude-skills

All 38 skills in this repo

Wjs Segmenting Video
jianshuo/claude-skills
A skill your agent uses when the user has a long-form video (interview / lecture / podcast / conversation) and a transcript SRT, and wants to extract 3–6 stand-alone topical short clips from it.
131 GitHub stars~3.5k tokensUpdated 1 mo ago
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Wjs Uploading Video
jianshuo/claude-skills
Upload one or many videos to YouTube. An agent skill from jianshuo/claude-skills.
131 GitHub stars~2.1k tokensUpdated 1 mo ago
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Wjs Converting Wp To Hugo
jianshuo/claude-skills
A skill your agent uses when migrating a WordPress site to a Hugo static site on GitHub Pages from a WXR export (.xml) plus the wp-content/uploads folder — preserving /archives/<id/ URLs, localizing…
131 GitHub stars~1.8k tokensUpdated 1 mo ago
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Wjs Burning Subtitles
jianshuo/claude-skills
A skill your agent uses when the user has a video + an SRT and wants the subtitles either burned into the pixels (libass, always-visible) or soft-muxed as a togglable track.
131 GitHub stars~3k tokensUpdated 1 mo ago
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Wjs Cleaning Spam
jianshuo/claude-skills
A skill your agent uses when the user complains about spam on his X/Twitter posts — 同城面付 / 寻固炮 / 线下上门 / 免费破处这类引流号在他推文下刷的 emoji 垃圾回复 — and wants them removed.
131 GitHub stars~532 tokensUpdated 1 mo ago
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Wjs Creating Video Book
jianshuo/claude-skills
A skill your agent uses when the user wants a book turned into YouTube chapter videos — 每章用 VoiceDrop 读书的有声书 mp3 做音轨，配 GPT Image 2 画面和中心思想大字，输出 1920×1080 横屏视频发 YouTube。Triggers — "把这本书做成视频"…
131 GitHub stars~1.8k tokensUpdated 1 mo ago
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Works with

X (Twitter)

Questions about Wjs X Increasing Follower

What does Wjs X Increasing Follower do?

A skill your agent uses when 王建硕 wants to systematically grow his X (Twitter) followers by running numbered, A/B-testable growth experiments and tracking which ones actually work. Wjs X Increasing Follower is an agent skill from jianshuo/claude-skills. Use when 王建硕 wants to systematically grow his X (Twitter) followers by running numbered, A/B-testable growth experiments and tracking which ones actually work.

When should I use Wjs X Increasing Follower?

Wjs X Increasing Follower fits situations like: 王建硕 wants to systematically grow his X (Twitter) followers by running numbered; A/B-testable growth experiments and tracking which ones actually work; follower growth; A/B test my profile.

How do I install Wjs X Increasing Follower in Claude Code?

Run `npx skills add jianshuo/claude-skills --skill wjs-x-increasing-follower -a claude-code`. Or copy the skill folder (wjs-x-increasing-follower in jianshuo/claude-skills) into .claude/skills/wjs-x-increasing-follower in your project. Claude Code loads it when a task matches its description.

How do I install Wjs X Increasing Follower in Codex?

Run `npx skills add jianshuo/claude-skills --skill wjs-x-increasing-follower -a codex`. Or copy the skill folder (wjs-x-increasing-follower in jianshuo/claude-skills) into .agents/skills/wjs-x-increasing-follower in your project. Codex loads it when a task matches its description.

Can I use Wjs X Increasing Follower in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add jianshuo/claude-skills --skill wjs-x-increasing-follower -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/wjs-x-increasing-follower, .gemini/skills/wjs-x-increasing-follower, .github/skills/wjs-x-increasing-follower and .opencode/skills/wjs-x-increasing-follower in your project.

What does Wjs X Increasing Follower need to run?

Going by SKILL.md and its folder, Wjs X Increasing Follower needs Python and a shell for the scripts in its folder and the command-line tools its instructions call (python3). Our summary lists: Python 3; A Bash shell.

Does Wjs X Increasing Follower access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Wjs X Increasing Follower safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Wjs X Increasing Follower use?

Wjs X Increasing Follower is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Wjs X Increasing Follower use?

About 1.4k tokens (SKILL.md is roughly 5.6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Wjs X Increasing Follower?

Skills that share tags, products or a category with Wjs X Increasing Follower: Physicalai Train Benchmarking A Policy (open-edge-platform/physical-ai-studio, 133 stars), Growth Marketer (borghei/Claude-Skills, 891 stars), Data And Funnel Analytics (manojbajaj95/claude-gtm-plugin, 105 stars) and Define Hypothesis (product-on-purpose/pm-skills, 716 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Wjs X Increasing Follower?

jianshuo (a GitHub user) maintains it in jianshuo/claude-skills, which has 131 GitHub stars. The repository holds 38 skills in this directory. The repository was last updated on August 20, 2026.

Source: jianshuo/claude-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.

Install Wjs X Increasing Follower

Facts

At a glance

What it does

When your agent uses it

Example prompts

Requirements

Workflow steps

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

wjs-x-increasing-follower

Core Principle

数据从哪来（关键约束）

When This Skill Fires

When NOT to use

Workflow

Step 1 — 吃数据（CSV → daily.jsonl）

Step 2 — 出 to-do（提实验）

Step 3 — 上线一个实验（含抓 before）

Step 4 — 每天喂数 + 重算（见也用于「每日检查」）

Step 5 — 判决与回滚

Step 6 — 看板

数据模型（state/）

默认参数（要改就传 flag）

每日检查（可选调度）

Files

Compare with similar skills

Similar skills

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Questions about Wjs X Increasing Follower