skill-creater

Name: skill-creater
Author: kachofugetsu09

Other Community

Repo stars 277
Author updated Live
Author repo akashic-agent

Fluxly profile Facts only: domain, agents, trust score, runtime, permissions and network

Domain: Other
Compatible agents: Claude Code
Cursor
Cline
Codex
Windsurf
Gemini CLI

+20
Trust score: 88 / 100 · community maintained
Author / version / license: @kachofugetsu09 · no license declared
Token usage: Lean
Setup complexity: Guided setup
External API key: Required · Vendor-specific
Operating systems: Linux
Runtime requirements: No special requirements
Permissions: Read-only
Env read
Write / modify
Network behavior: External requests
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。

Output preview skill-creater.preview

---
name: skill-creater
description: $HOME/.akashic/workspace/skills/{skill-name}/ ← 用户自定义技能（优先） SKILL.md ← 必须 scripts/ ← 可选，放辅助脚本 re…
category: other
runtime: no special runtime
---

# skill-creater output preview

## PART A: Task fit
- Use case: $HOME/.akashic/workspace/skills/{skill-name}/ ← 用户自定义技能（优先） SKILL.md ← 必须 scripts/ ← 可选，放辅助脚本 references/ ← 可选，放参考文档 项目/skills/{skill-name}/ ← 内置技能 requires Vendor-specific API key. Works with Claude Code, Cursor, Cline and 23 more..
- Inputs: target material, constraints, expected output, and acceptance criteria.
- Evidence boundary: follow “技能目录结构 / SKILL.md 格式 / frontmatter 字段说明” and do not present inference as author intent.

## PART B: Execution result
- **01** The card summarizes the use case; runtime output centers on “$HOME/.akashic/workspace/skills/{skill-name}/ ← 用户自定义技能（优先） SKILL.md ← 必须 scripts/ ← 可选，放辅助脚本 references/ ← 可选，放参考文档 项目/skills/{skill-name}/ ← 内置技能 requires Vendor-specific API key. Works with Claude Code, Cursor, Cline and 23 more.”.
- **02** When the source has headings, the agent prioritizes “技能目录结构 / SKILL.md 格式 / frontmatter 字段说明” 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, read environment variables, write/modify files; may access external network resources; requires Vendor-specific API keys.

## Running Rules
- read files, read environment variables, write/modify files; may access external network resources; requires Vendor-specific API keys.
- Validate with a small sample before expanding scope.
- Return the result, validation criteria, and next iteration options.

SKILL.md SKILL.md

---
name: skill-creater
description: $HOME/.akashic/workspace/skills/{skill-name}/ ← 用户自定义技能（优先） SKILL.md ← 必须 scripts/ ← 可选，放辅助脚本 re…
category: other
source: kachofugetsu09/akashic-agent
---

# skill-creater

## When to use
- $HOME/.akashic/workspace/skills/{skill-name}/ ← 用户自定义技能（优先） SKILL.md ← 必须 scripts/ ← 可选，放辅助脚本 references/ ← 可选，放参考文档 项…
- 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 “技能目录结构 / SKILL.md 格式 / frontmatter 字段说明” and keep inference separate from source facts.
- read files, read environment variables, write/modify files; may access external network resources; requires Vendor-specific API keys.
- 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.

Evidence boundary and execution chain

The author source anchors workflow facts; repository files anchor sources and commands; Fluxly only adds fit, limitations, and quality judgment.

skill "skill-creater" {
  input      -> user goal + target files + boundaries + acceptance criteria
  context    -> 技能目录结构 / SKILL.md 格式 / frontmatter 字段说明
  rules      -> SKILL.md triggers / order / output contract
  runtime    -> no special runtime | read files, read environment variables, write/modify files | may access external network resources
  guardrails -> requires Vendor-specific API keys + small-sample validation + diff/log review
  output     -> copyable result + checklist + next iteration
}

Interpretation is structured for decision-making; original keeps the upstream SKILL.md unchanged.

Decide Fit First

Core job: $HOME/.akashic/workspace/skills/{skill-name}/ ← 用户自定义技能（优先） SKILL.md ← 必须 scripts/ ← 可选，放辅助脚本 references/ ← 可选，放参考文档项目/skills/{…
Best fit: Use it when the task has reusable inputs, steps, and validation criteria rather than a one-off answer.
Avoid forcing it: If the source lacks commands, platform support, or external-service evidence, keep those fields unknown instead of guessing.

Design Intent

Structure: The skill is organized around “技能目录结构”, “SKILL.md 格式”, “frontmatter 字段说明”, “写作原则”, showing how the author expects the agent to judge fit, collect context, and produce verifiable output.
Trigger evidence: Prioritize the author’s wording around when to use it, what context to collect, and what output shape to produce.
Evidence boundary: Author text states facts, repository files prove commands and paths, and Fluxly only adds fit, limits, and usage judgment.

How To Use It

Inputs: Provide target material, scope, expected result, forbidden changes, and validation method.
Invocation: Name skill-creater directly; if the source includes slash commands, start with the command and then add task context.
Validation: Start small and check whether the result follows “技能目录结构 / SKILL.md 格式 / frontmatter 字段说明” before expanding.

Boundaries And Review

Dependencies: Prepare Vendor-specific API keys before running a full task.
Permissions: Declared permissions include read / env-read / write; ask the agent to state file, command, and rollback boundaries before acting.
Quality bar: A useful result names the deliverable, evidence, and next action. Generic prose means the task needs tighter context.

Skill 创建指南

技能目录结构

$HOME/.akashic/workspace/skills/{skill-name}/   ← 用户自定义技能（优先）
  SKILL.md                                  ← 必须
  scripts/                                  ← 可选，放辅助脚本
  references/                               ← 可选，放参考文档

项目/skills/{skill-name}/                  ← 内置技能
  SKILL.md

用 write_file 或 edit_file 直接创建/修改文件，无需任何脚手架脚本。

SKILL.md 格式

---
name: skill-name
description: 一句话说明技能功能 + 触发场景。触发词：词1, 词2, 词3
metadata: {"akashic": {"always": false, "requires": {"bins": ["curl"], "env": ["API_KEY"]}}}
---

# 技能标题

正文指令...

frontmatter 字段说明

name：技能目录名（小写，连字符）
description：最重要的字段。agent 靠它判断何时触发此技能，务必包含功能描述和触发词
metadata：运行配置
- always：true = 每轮对话都注入完整正文；false = 按需加载（默认）
- requires.bins：所需 CLI 工具，缺失时技能标记为不可用
- requires.env：所需环境变量，缺失时技能标记为不可用

写作原则

简洁优先：SKILL.md 会被注入到 context，每个 token 都有成本。

只写 agent 不已知的信息
用示例命令代替大段文字解释
把冗长的参考内容放到 references/ 子文件，在 SKILL.md 里注明"详见 references/xxx.md"
正文控制在 100 行以内

触发词要全：中英文都写，覆盖用户可能说的各种表达方式。

创建流程

确认技能名称和保存位置（workspace 还是内置）
用 write_file 写入 SKILL.md
如有辅助脚本，写入 scripts/ 目录
验证：requires.bins 里的命令是否正确

改写已有技能

改写时重点检查：

frontmatter 是否有 metadata 字段（旧技能可能缺失）
requires.bins 是否列全了依赖
正文是否有指向不存在脚本的引用（如 init_skill.py）
安装命令是否适配当前系统（Linux 用 uv/pacman/apt，而非 brew）

Install command

One-click installPick a runner, click Copy, paste into your terminal, press enter

npx skills add kachofugetsu09/akashic-agent/skills/skill-creater -y

Open general install guide

View skill source

Works with

Claude Code
Cursor
Cline
Codex
Windsurf
Gemini
OpenCode
Roo Code
AAide
+Augment
GitHub Copilot
OpenClaw
KKiro
Junie
WWarp
Goose
Trae
Kilo Code
OpenHands
Amp
Zencoder
CContinue
AIAider
CodeBuddy
CodeGeeX
Replit Agent

Security audit

88 / 100

Community

未声明 license/许可。
未声明 version。
未限定 allowed-tools，默认拥有全部工具权限。

Metadata

Source: github
kachofugetsu09/akashic-agent
中文

Category & tags

Category Other