Agent Reach
Panniantong/Agent-Reach
Routes web research and platform lookups across 16 sites, including Twitter, Reddit, YouTube, Bilibili, Xiaohongshu and GitHub, through one command-line tool.
コンテンツのA/Bテスト・自己改善ループを支援するプランナースキル. An agent skill from minicoohei/ai-agent-camp.
No licenceAuto-check: notes
Install Content Optimizer
$ npx skills add minicoohei/ai-agent-camp --skill content-optimizer -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install minicoohei/ai-agent-camp content-optimizer --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/minicoohei/ai-agent-camp.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/content-optimizer .claude/skills/content-optimizer && rm -rf skills-srcUse ~/.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/
Install the "content-optimizer" agent skill from https://github.com/minicoohei/ai-agent-camp/tree/main/skills/content-optimizer into .claude/skills/content-optimizer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "content-optimizer", 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 install https://github.com/minicoohei/ai-agent-camp/tree/main/skills/content-optimizerType 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.
$ npx skills add minicoohei/ai-agent-camp --skill content-optimizer -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install minicoohei/ai-agent-camp content-optimizer --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/minicoohei/ai-agent-camp.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/content-optimizer .agents/skills/content-optimizer && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "content-optimizer" agent skill from https://github.com/minicoohei/ai-agent-camp/tree/main/skills/content-optimizer into .agents/skills/content-optimizer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "content-optimizer", 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.
$ npx skills add minicoohei/ai-agent-camp --skill content-optimizer -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install minicoohei/ai-agent-camp content-optimizer --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/minicoohei/ai-agent-camp.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/content-optimizer .cursor/skills/content-optimizer && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "content-optimizer" agent skill from https://github.com/minicoohei/ai-agent-camp/tree/main/skills/content-optimizer into .cursor/skills/content-optimizer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "content-optimizer", 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 https://github.com/minicoohei/ai-agent-camp.git --path skills/content-optimizer--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add minicoohei/ai-agent-camp --skill content-optimizer -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install minicoohei/ai-agent-camp content-optimizer --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/minicoohei/ai-agent-camp.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/content-optimizer .gemini/skills/content-optimizer && rm -rf skills-srcUse ~/.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/
Install the "content-optimizer" agent skill from https://github.com/minicoohei/ai-agent-camp/tree/main/skills/content-optimizer into .gemini/skills/content-optimizer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "content-optimizer", 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.
$ gh skill install minicoohei/ai-agent-camp content-optimizerInstalls 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).
$ npx skills add minicoohei/ai-agent-camp --skill content-optimizer -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/minicoohei/ai-agent-camp.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/content-optimizer .github/skills/content-optimizer && rm -rf skills-srcUse ~/.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/
Install the "content-optimizer" agent skill from https://github.com/minicoohei/ai-agent-camp/tree/main/skills/content-optimizer into .github/skills/content-optimizer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "content-optimizer", 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.
$ npx skills add minicoohei/ai-agent-camp --skill content-optimizer -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install minicoohei/ai-agent-camp content-optimizer --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/minicoohei/ai-agent-camp.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/content-optimizer .opencode/skills/content-optimizer && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "content-optimizer" agent skill from https://github.com/minicoohei/ai-agent-camp/tree/main/skills/content-optimizer into .opencode/skills/content-optimizer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "content-optimizer", 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
content-optimizer- GitHub stars
- 347
- Token cost
- ~1.3k tokens
- SKILL.md length
- 213 words
- Files
- 10 (incl. scripts, references)
- Skills in repo
- 37
- Repo updated
- First seen
- Licence
- None found
At a glance
コンテンツのA/Bテスト・自己改善ループを支援するプランナースキル. An agent skill from minicoohei/ai-agent-camp.
- Works in 4 steps: hypothesis_generator.py でトレンド分析 → 仮説 →… → Typefully で A/B バリアントを投稿（手動 or… → 2-3日後に collect_metrics.py でパフォーマンス測定 → …
- SKILL.md covers Description, ワークフロー概要, クイックスタート and スクリプト一覧, plus 9 more sections
- Runs Python scripts from its folder; calls python; needs X_BEARER_TOKEN and GEMINI_API_KEY
What it does
Content Optimizer is an agent skill from minicoohei/ai-agent-camp. コンテンツのA/Bテスト・自己改善ループを支援するプランナースキル。 市場トレンド調査 → 仮説生成 → 実験設計 → メトリクス収集 → 分析改善の全サイクルをカバー。 「コンテンツを最適化」「投稿を改善したい」「トレンド分析して投稿案を作って」「エンゲージメント改善」等のリクエストで発動。
Its SKILL.md is about 1.3k tokens, which your agent loads only when the skill is triggered. The skill folder holds 12 other files, including scripts and reference files (for example `SKILL.en.md`, `SKILL.es.md` and `agents/openai.yaml`).
It works with Google Gemini, X (Twitter) and Reddit. The repository describes itself as: AI Agent Camp — non-engineer-friendly AI agent training curriculum. Lessons, skills, commands, and hooks for Claude Code, Cursor, and Codex.
Example prompts
- “/content-optimizer”
Requirements
- Python 3
- A credential in X_BEARER_TOKEN
- A credential in GEMINI_API_KEY
Workflow steps
4 steps, taken from the first numbered list in SKILL.md.
- hypothesis_generator.py でトレンド分析 → 仮説 → バリアント生成
- Typefully で A/B バリアントを投稿（手動 or --auto-draft フラグ）
- 2-3日後に collect_metrics.py でパフォーマンス測定
- 結果を踏まえて次の仮説を生成（学習が蓄積される）
What it can do on your machine
Read from SKILL.md and the folder at commit 048ba4c. 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 3 files in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
python
From the folder's file list and the shell code blocks in SKILL.md.
Network
Links to these hosts (documentation or services it may open):
developer.x.comaistudio.google.comtypefully.com
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names these keys or tokens, usually read from environment variables:
X_BEARER_TOKENGEMINI_API_KEYTYPEFULLY_API_KEY
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Content Optimizer loads about 1.3k tokens when it runs, and up to ~13k if it reads all its reference files. Until then it costs about 41 tokens; SKILL.md has 213 words of instructions outside code blocks.
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: notes
The automated check noted patterns worth knowing about, such as sudo or a known installer.
- NoteMentions a .env fileSKILL.md:112
# .env に追加
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
Without a licence we can't republish the file, so here is its outline and opening line. It has 213 words (~1,274 tokens).
“5ソース（X, Google検索, Google Trends, Reddit/HN, 競合アカウント）から市場データを収集し、 LLMで統合分析して仮説とA/Bバリアントを自動生成します。 生成した投稿バリアントをTypefullyにドラフト登録し、投稿後のパフォーマンスを測定・学習することで、 コンテンツの継続的な自己改善サイクルを実現します。”
- name
- content-optimizer
- version
- 1.0.0
- author
- ai-agent-camp
- triggers
- content-optimizer, コンテンツを最適化, 投稿を改善, トレンド分析, エンゲージメント改善, コンテンツ改善ループ, Typefully, content optimization
- dependencies
- requests>=2.28.0, python-dotenv>=0.19.0, pyyaml>=6.0, google-genai>=0.5.0
Files
SKILL.md and 9 other files (scripts, references) in skills/content-optimizer of minicoohei/ai-agent-camp.
- SKILL.md
- SKILL.en.md
- SKILL.es.md
- agents/openai.yaml
- references/experiment-templates.md
- references/improvement-patterns.md
- references/metrics-guide.md
- scripts/collect_metrics.py
- scripts/hypothesis_generator.py
- scripts/typefully_client.py
Open the folder on GitHubat commit 048ba4c
Compare with similar skills
Content Optimizer 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Content Optimizer this skillminicoohei/ai-agent-camp | 347 | — | ~1.3k | Automated safety check: Notes | None | |
| Agent ReachPanniantong/Agent-Reach | 93k | — | ~1.4k | Automated safety check: Pass | MIT | |
| bb-browser Site Commands for OpenClawepiral/bb-browser | 6.2k | — | ~1k | Automated safety check: Pass | MIT | |
| Content CollectorvigorX777/content-collector-skill | 240 | — | ~2k | Automated safety check: Pass | None | |
| Influencer Discoverytigerless-labs/influencer-discovery | 211 | — | ~2.5k | Automated safety check: Notes | None | |
| Qiaomu Opencli Usagejoeseesun/qiaomu-opencli-skills | 993 | — | ~3k | Automated safety check: Pass | MIT |
Similar skills
bb-browser Site Commands for OpenClaw
epiral/bb-browser
Runs structured data commands against sites such as Twitter, Reddit, GitHub, YouTube and Zhihu through OpenClaw's browser, reusing your existing login state.
Content Collector
vigorX777/content-collector-skill
Collect social media content (X/Twitter, WeChat, Jike, Reddit, etc.) into Feishu bitable.
Influencer Discovery
tigerless-labs/influencer-discovery
Find the bloggers/creators who can help promote your work, capture their contact info, and append them to the target sheet in Google Sheets.
Qiaomu Opencli Usage
joeseesun/qiaomu-opencli-skills
A skill your agent uses when running OpenCLI commands to interact with websites (Bilibili, Twitter, Reddit, Xiaohongshu, etc.), desktop apps (Cursor, Notion), or public APIs (HackerNews, arXiv).
Feedgrab Batch
iBigQiang/feedgrab
Batch content grabber — bulk fetch bookmarks, user tweets, search results, author notes, wiki pages, subreddit posts, and more from X/Twitter, Xiaohongshu, Reddit, WeChat, YouTube, Feishu, Zhihu.
More from minicoohei/ai-agent-camp
All 37 skills in this repoExploratory Data Analysis
minicoohei/ai-agent-camp
200以上のファイル形式に対応した探索的データ分析（EDA）スキル. An agent skill from minicoohei/ai-agent-camp.
Video Editor
minicoohei/ai-agent-camp
TikTok/YouTube向け動画編集スキル。ffmpegでキャプション焼き込み、 Ken Burnsエフェクト、シーン結合、音声合成を行う。
Article Writer
minicoohei/ai-agent-camp
テーマからアウトライン生成→文体プロファイル適用→Markdown記事出力を行う記事執筆スキル. An agent skill from minicoohei/ai-agent-camp.
Banner Creator
minicoohei/ai-agent-camp
各種SNS・広告プラットフォーム向けのバナー/クリエイティブを生成するスキル. An agent skill from minicoohei/ai-agent-camp.
Check Inbox
minicoohei/ai-agent-camp
メールとSlackから返信すべき項目・タスクを抽出する統合型スキル. An agent skill from minicoohei/ai-agent-camp.
Diagram Generator
minicoohei/ai-agent-camp
Gemini Image Generation API でテキストから図解・インフォグラフィック・ダイアグラムを生成するスキル。
Related
Works with
Questions about Content Optimizer
What does Content Optimizer do?
コンテンツのA/Bテスト・自己改善ループを支援するプランナースキル. An agent skill from minicoohei/ai-agent-camp. Content Optimizer is an agent skill from minicoohei/ai-agent-camp.
How do I install Content Optimizer in Claude Code?
Run `npx skills add minicoohei/ai-agent-camp --skill content-optimizer -a claude-code`. Or copy the skill folder (skills/content-optimizer in minicoohei/ai-agent-camp) into .claude/skills/content-optimizer in your project. Claude Code loads it when a task matches its description.
How do I install Content Optimizer in Codex?
Run `npx skills add minicoohei/ai-agent-camp --skill content-optimizer -a codex`. Or copy the skill folder (skills/content-optimizer in minicoohei/ai-agent-camp) into .agents/skills/content-optimizer in your project. Codex loads it when a task matches its description.
Can I use Content Optimizer 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 minicoohei/ai-agent-camp --skill content-optimizer -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/content-optimizer, .gemini/skills/content-optimizer, .github/skills/content-optimizer and .opencode/skills/content-optimizer in your project.
What does Content Optimizer need to run?
Going by SKILL.md and its folder, Content Optimizer needs Python for the scripts in its folder, the command-line tools its instructions call (python) and credentials named X_BEARER_TOKEN, GEMINI_API_KEY and TYPEFULLY_API_KEY. Our summary lists: Python 3; A credential in X_BEARER_TOKEN; A credential in GEMINI_API_KEY.
Does Content Optimizer access the network?
SKILL.md names 3 domains. As links in the text: developer.x.com, aistudio.google.com and typefully.com. This is read from the text; nothing was executed.
Is Content Optimizer safe to install?
Our automated static check of SKILL.md found notes only (mentions a .env file), nothing it rates as a warning. 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 Content Optimizer use?
No licence was found for Content Optimizer or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
How many tokens does Content Optimizer use?
About 1.3k tokens (SKILL.md is roughly 5.1k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 11k tokens, read only when the agent opens those files.
What are the alternatives to Content Optimizer?
Skills that share tags, products or a category with Content Optimizer: Agent Reach (Panniantong/Agent-Reach, 93k stars), bb-browser Site Commands for OpenClaw (epiral/bb-browser, 6.2k stars), Content Collector (vigorX777/content-collector-skill, 240 stars) and Influencer Discovery (tigerless-labs/influencer-discovery, 211 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Content Optimizer?
minicoohei (a GitHub user) maintains it in minicoohei/ai-agent-camp, which has 347 GitHub stars. The repository holds 37 skills in this directory. The repository was last updated on October 7, 2026.
Source: minicoohei/ai-agent-camp on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.