{skill-name}
- Repo stars 360
- Author updated Live
- Author repo ai-agent-camp
- Domain
- AI
- Compatible agents
-
- Claude Code
- Cursor
- Cline
- Codex
- Windsurf
- Gemini CLI
- +20
- Trust score
- 88 / 100 · community maintained
- Author / version / license
- @minicoohei · no license declared
- Token usage
- Lean
- Setup complexity
- Plug-and-play
- External API key
- Not required
- Operating systems
- Unspecified (assume cross-platform)
- Runtime requirements
- Python
- Permissions
-
- Read-only
- Write / modify
- Network behavior
- Local-only
- Install commands
- 26 variants
Profile is derived at build time from SKILL.md and install vectors. Subject to drift from author intent.
Heads up: 未限定 allowed-tools,默认拥有全部工具权限。
---
name: {skill-name}
description: python skills/{skill-name}/scripts/main.py --param value | パラメータ | 必須 | デフォルト | 説明 | |----------…
category: ai
runtime: Python
---
# {skill-name} output preview
## PART A: Task fit
- Use case: python skills/{skill-name}/scripts/main.py --param value | パラメータ | 必須 | デフォルト | 説明 | |-----------|------|----------|------| | --param1 | はい | - | {説明} | | --param2 | いいえ | {値} | {説明} | runs entirely locally; runs on Python. Works with Claude Code, Cursor, Cline and 23 more..
- Inputs: target material, constraints, expected output, and acceptance criteria.
- Evidence boundary: follow “説明 / 使い方 / パラメータ” and do not present inference as author intent.
## PART B: Execution result
- **01** The card summarizes the use case; runtime output centers on “python skills/{skill-name}/scripts/main.py --param value | パラメータ | 必須 | デフォルト | 説明 | |-----------|------|----------|------| | --param1 | はい | - | {説明} | | --param2 | いいえ | {値} | {説明} | runs entirely locally; runs on Python. Works with Claude Code, Cursor, Cline and 23 more.”.
- **02** When the source has headings, the agent prioritizes “説明 / 使い方 / パラメータ” so the result follows the author’s structure.
- **03** Typical output includes task judgment, concrete steps, required commands or file edits, validation, and follow-up options.
- **04** Risk context follows the fingerprint: read files, write/modify files; mostly runs locally; usually needs no extra API key.
## Running Rules
- read files, write/modify files; mostly runs locally; usually needs no extra API key.
- Validate with a small sample before expanding scope.
- Return the result, validation criteria, and next iteration options. The source does not require a stable slash command. After installation, invoke the skill by name and describe the task.
Name target files or source material, expected output, forbidden changes, and whether network or shell access is allowed. Permission fingerprint: read files, write/modify files.
Start with a small task and check whether the result follows “説明 / 使い方 / パラメータ”. Inspect diffs, logs, previews, or tests before expanding scope.
Confirm the final output includes a concrete result, evidence, and next action. If it stays generic, tighten inputs, boundaries, and acceptance criteria.
---
name: {skill-name}
description: python skills/{skill-name}/scripts/main.py --param value | パラメータ | 必須 | デフォルト | 説明 | |----------…
category: ai
source: minicoohei/ai-agent-camp
---
# {skill-name}
## When to use
- python skills/{skill-name}/scripts/main.py --param value | パラメータ | 必須 | デフォルト | 説明 | |-----------|------|----------|--…
- Use it when the task has clear inputs, repeatable steps, and validation criteria.
## What to provide
- Target material, scope, expected result, and forbidden changes.
- Whether network, commands, file writes, or external services are allowed.
## Execution rules
- Organize steps around “説明 / 使い方 / パラメータ” and keep inference separate from source facts.
- read files, write/modify files; mostly runs locally; usually needs no extra API key.
- Validate with a small sample before expanding the task.
## Output requirements
- Return the deliverable, key evidence, validation method, and next action.
- Mark missing information as unknown; do not invent commands, platforms, or dependencies. The author source anchors workflow facts; repository files anchor sources and commands; Fluxly only adds fit, limitations, and quality judgment.
skill "{skill-name}" {
input -> user goal + target files + boundaries + acceptance criteria
context -> 説明 / 使い方 / パラメータ
rules -> SKILL.md triggers / order / output contract
runtime -> Python | read files, write/modify files | mostly runs locally
guardrails -> usually needs no extra API key + small-sample validation + diff/log review
output -> copyable result + checklist + next iteration
} {スキル名}
説明
{スキルの詳しい説明}
使い方
python skills/{skill-name}/scripts/main.py --param value
パラメータ
| パラメータ | 必須 | デフォルト | 説明 |
|---|---|---|---|
| --param1 | はい | - | {説明} |
| --param2 | いいえ | {値} | {説明} |
出力例
{出力サンプル}
必要な環境
- {必要な API キーや環境変数}
- {必要な Python パッケージ}
トリガーフレーズ
- 「{フレーズ1}」
- 「{フレーズ2}」
Decide Fit First
Design Intent
How To Use It
Boundaries And Review