Agent skill

Channel Research

by daiki-beppu in daiki-beppu/youtube-automation

A skill your agent uses when チャンネル調査を状態判定付きで一括実行または一段だけ実行するとき。競合データ収集は --benchmark、追加競合候補の発掘は --discover、TTP・ニッチ仮説の比較または収集済みデータ分析は --market、競合コメントからの視聴者インサイト抽出は --voice、競合サムネイルの上位群・下位群比較は…

Custom licenceAuto-check passedMarketing & SEO

Install Channel Research

skills CLI
$ npx skills add daiki-beppu/youtube-automation --skill channel-research -a claude-code

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

GitHub CLI
$ gh skill install daiki-beppu/youtube-automation channel-research --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/daiki-beppu/youtube-automation.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills/channel-research .claude/skills/channel-research && 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/

Facts

Skill name
channel-research
GitHub stars
169
Token cost
~1.5k tokens
SKILL.md length
374 words
Files
15 (incl. references)
Skills in repo
21
Repo updated
First seen
Licence
Custom licence

At a glance

A skill your agent uses when チャンネル調査を状態判定付きで一括実行または一段だけ実行するとき。競合データ収集は --benchmark、追加競合候補の発掘は --discover、TTP・ニッチ仮説の比較または収集済みデータ分析は --market、競合コメントからの視聴者インサイト抽出は --voice、競合サムネイルの上位群・下位群比較は…

  • Tasks that involve Go-to-market strategy
  • SKILL.md covers 前後工程, 成果物, モード判定 and 共通前提, plus 4 more sections
  • Runs Python scripts from its folder; calls uv

What it does

Channel Research is an agent skill from daiki-beppu/youtube-automation. Use when チャンネル調査を状態判定付きで一括実行または一段だけ実行するとき。競合データ収集は --benchmark、追加競合候補の発掘は --discover、TTP・ニッチ仮説の比較または収集済みデータ分析は --market、競合コメントからの視聴者インサイト抽出は --voice、競合サムネイルの上位群・下位群比較は --thumbnail を使う。「競合データ収集」「ベンチマーク更新」「競合候補」「競合発掘」「市場調査」「競合分析」「チャンネルリサーチ」「TTP 対象抽出」「視聴者の声」「コメント分析」「ユーザーリサーチ」「サムネイル徹底分析」「競合サムネ分析」「サムネ勝ちパターン」で発動。方向性の決定は channel-strategy の direction mode、サムネイル生成は /thumbnail、人間の眼を鍛える訓練は /truth-eye を使う

Its SKILL.md is about 1.5k tokens, which your agent loads only when the skill is triggered. The skill folder holds 15 other files, including reference files (for example `config.default.yaml`, `references/benchmark.md` and `references/benchmark_collector.py`).

It sits in Marketing & SEO, covering Go-to-market strategy. The repository describes itself as: YouTube チャンネル自動化 共有コア.

When your agent uses it

  • Tasks that involve Go-to-market strategy

Example prompts

  • “/channel-research”

Requirements

  • Python 3

What it can do on your machine

Read from SKILL.md and the folder at commit 4725876. 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 script files (Python), which the agent can run.

    Shell commands in SKILL.md call:

    • uv

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md. Its commands use uv, which can reach the network depending on how they are called.

    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

Channel Research loads about 1.5k tokens when it runs, and up to ~24k if it reads all its reference files. Until then it costs about 103 tokens; SKILL.md has 374 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~103
When it runs · the whole SKILL.md, loaded when a task matches
~1.5k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~24k

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); files beside SKILL.md are not scanned.

SKILL.md

Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 374 words (~1,460 tokens).

“$ARGUMENTS から、下表に登録された mode flag の個数を最初に数える。同じ flag の重複も別々に数える。”

— opening of SKILL.md by daiki-beppu, Custom licence
name
channel-research
purpose
調べる

Read the full SKILL.md on GitHub

Files

SKILL.md and 14 other files (references) in .claude/skills/channel-research of daiki-beppu/youtube-automation.

  • SKILL.md
  • config.default.yaml
  • references/benchmark.md
  • references/benchmark_collector.py
  • references/channel-research-chain-manifest.json
  • references/channel-research-chain-state.py
  • references/channel-research-report.schema.json
  • references/discover.md
  • references/fetch_benchmark_comments.py
  • references/market.md
  • references/market_research_contract.py
  • references/report-contract.md
  • references/structured-report.md
  • references/thumbnail.md
  • references/voice.md

Open the folder on GitHubat commit 4725876

Compare with similar skills

Channel Research 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.

Channel Research compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Channel Research this skilldaiki-beppu/youtube-automation169—~1.5kAutomated safety check: PassCustom licence
Marketing PlanNexus-JPF/note-companion8705 repos~5.2kAutomated safety check: PassMIT
Revenue Centric Designheliocosta-dev/revenue-centric-design740—~1.6kAutomated safety check: PassCustom licence
Startup Designferdinandobons/startup-skill1.2k—~8.1kAutomated safety check: PassMIT
Jaredrhod Marketingjaredrhod/ai-marketing-skills282—~584Automated safety check: PassCC-BY-SA-4.0
Traffic Acquisitionvivy-yi/xiaohongshu-skills4811 repos~4kAutomated safety check: PassNone

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Categories

Questions about Channel Research

What does Channel Research do?

A skill your agent uses when チャンネル調査を状態判定付きで一括実行または一段だけ実行するとき。競合データ収集は --benchmark、追加競合候補の発掘は --discover、TTP・ニッチ仮説の比較または収集済みデータ分析は --market、競合コメントからの視聴者インサイト抽出は --voice、競合サムネイルの上位群・下位群比較は…. Channel Research is an agent skill from daiki-beppu/youtube-automation.

When should I use Channel Research?

Channel Research fits situations like: tasks that involve Go-to-market strategy.

How do I install Channel Research in Claude Code?

Run `npx skills add daiki-beppu/youtube-automation --skill channel-research -a claude-code`. Or copy the skill folder (.claude/skills/channel-research in daiki-beppu/youtube-automation) into .claude/skills/channel-research in your project. Claude Code loads it when a task matches its description.

How do I install Channel Research in Codex?

Run `npx skills add daiki-beppu/youtube-automation --skill channel-research -a codex`. Or copy the skill folder (.claude/skills/channel-research in daiki-beppu/youtube-automation) into .agents/skills/channel-research in your project. Codex loads it when a task matches its description.

Can I use Channel Research 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 daiki-beppu/youtube-automation --skill channel-research -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/channel-research, .gemini/skills/channel-research, .github/skills/channel-research and .opencode/skills/channel-research in your project.

What does Channel Research need to run?

Going by SKILL.md and its folder, Channel Research needs Python for the scripts in its folder and the command-line tools its instructions call (uv). Our summary lists: Python 3.

Does Channel Research access the network?

SKILL.md contains no URLs. Its commands use uv, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is Channel Research 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. Review the folder before installing.

What licence does Channel Research use?

Channel Research has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.

How many tokens does Channel Research use?

About 1.5k tokens (SKILL.md is roughly 5.8k 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 23k tokens, read only when the agent opens those files.

What are the alternatives to Channel Research?

Skills that share tags, products or a category with Channel Research: Marketing Plan (Nexus-JPF/note-companion, 870 stars), Revenue Centric Design (heliocosta-dev/revenue-centric-design, 740 stars), Startup Design (ferdinandobons/startup-skill, 1.2k stars) and Jaredrhod Marketing (jaredrhod/ai-marketing-skills, 282 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Channel Research?

daiki-beppu (a GitHub user) maintains it in daiki-beppu/youtube-automation, which has 169 GitHub stars. The repository holds 21 skills in this directory. The repository was last updated on October 7, 2026.

Source: daiki-beppu/youtube-automation on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.