new-skill — ai-coding new-skill, community, ai-coding, ide skills, claude-code, claude-md, developer-tools, project-template, scaffolding, Claude Code, Cursor

v1.0.0

关于此技能

Token-efficient Claude Code project scaffolding. 3-tier context architecture with skills, agents, hooks, and rules — drop into any project.

# 核心主题

enbiyagoral enbiyagoral
[1]
[0]
更新于: 3/25/2026

Killer-Skills Review

Decision support comes first. Repository text comes second.

Reference-Only Page Review Score: 3/11

This page remains useful for operators, but Killer-Skills treats it as reference material instead of a primary organic landing page.

Quality floor passed for review
Review Score
3/11
Quality Score
60
Canonical Locale
en
Detected Body Locale
en

Token-efficient Claude Code project scaffolding. 3-tier context architecture with skills, agents, hooks, and rules — drop into any project.

核心价值

Token-efficient Claude Code project scaffolding. 3-tier context architecture with skills, agents, hooks, and rules — drop into any project.

适用 Agent 类型

Suitable for operator workflows that need explicit guardrails before installation and execution.

赋予的主要能力 · new-skill

! 使用限制与门槛

Why this page is reference-only

  • - Current locale does not satisfy the locale-governance contract.
  • - The page lacks a strong recommendation layer.
  • - The page lacks concrete use-case guidance.
  • - The page lacks explicit limitations or caution signals.

Source Boundary

The section below is supporting source material from the upstream repository. Use the Killer-Skills review above as the primary decision layer.

实验室 Demo

Browser Sandbox Environment

⚡️ Ready to unleash?

Experience this Agent in a zero-setup browser environment powered by WebContainers. No installation required.

Boot Container Sandbox

常见问题与安装步骤

以下问题与步骤与页面结构化数据保持一致,便于搜索引擎理解页面内容。

? FAQ

new-skill 是什么?

Token-efficient Claude Code project scaffolding. 3-tier context architecture with skills, agents, hooks, and rules — drop into any project.

如何安装 new-skill?

运行命令:npx killer-skills add enbiyagoral/.claude/new-skill。支持 Cursor、Windsurf、VS Code、Claude Code 等 19+ IDE/Agent。

new-skill 支持哪些 IDE 或 Agent?

该技能兼容 Cursor, Windsurf, VS Code, Trae, Claude Code, OpenClaw, Aider, Codex, OpenCode, Goose, Cline, Roo Code, Kiro, Augment Code, Continue, GitHub Copilot, Sourcegraph Cody, and Amazon Q Developer。可使用 Killer-Skills CLI 一条命令通用安装。

安装步骤

  1. 1. 打开终端

    在你的项目目录中打开终端或命令行。

  2. 2. 执行安装命令

    运行:npx killer-skills add enbiyagoral/.claude/new-skill。CLI 会自动识别 IDE 或 AI Agent 并完成配置。

  3. 3. 开始使用技能

    new-skill 已启用,可立即在当前项目中调用。

! 参考页模式

此页面仍可作为安装与查阅参考,但 Killer-Skills 不再把它视为主要可索引落地页。请优先阅读上方评审结论,再决定是否继续查看上游仓库说明。

Imported Repository Instructions

The section below is supporting source material from the upstream repository. Use the Killer-Skills review above as the primary decision layer.

Supporting Evidence

new-skill

安装 new-skill,这是一款面向AI agent workflows and automation的 AI Agent Skill。支持 Claude Code、Cursor、Windsurf,一键安装。

SKILL.md
Readonly
Imported Repository Instructions
The section below is supporting source material from the upstream repository. Use the Killer-Skills review above as the primary decision layer.
Supporting Evidence

Creating Skills in Claude Code

This skill guides you through creating effective skills for Claude Code. Skills are markdown files that teach the agent how to perform specific tasks: reviewing PRs, generating commit messages, querying databases, or any specialized workflow.

Phase 1 — Gather Requirements

Before creating a skill, gather essential information. If $ARGUMENTS provides a name and description, infer what you can. For anything unclear, ask the user.

Required information

  1. skill-name: lowercase, hyphen-separated (e.g., tf-plan-review). Max 64 chars.
  2. Purpose: What specific task or workflow should this skill help with?
  3. Trigger scenarios: When should the agent automatically apply this skill? What would the user say?
  4. Key domain knowledge: What specialized information does the agent need that it wouldn't already know?

Optional information

  1. Output format: Are there specific templates, formats, or styles required?
  2. Reference files needed? Environment-specific config, runbooks, API docs → references/ subfolder (Tier 3)
  3. Deterministic scripts needed? Status checks, linters, formatters → scripts/ subfolder
  4. Existing patterns: Are there existing examples or conventions to follow?

Inferring from context

If you have previous conversation context, infer the skill from what was discussed. Create skills based on workflows, patterns, or domain knowledge that emerged in the conversation.

If skill-name is missing from $ARGUMENTS, stop and ask.


Phase 2 — Check for Conflicts

  1. Glob .claude/skills/ to list existing skills
  2. If a skill with the same name exists, stop and tell the user
  3. Quick overlap check: does an existing skill already cover this purpose? If so, suggest updating it instead

Phase 3 — Design the Skill

Directory layout

Skills are stored as directories containing a SKILL.md file:

text
1.claude/skills/<skill-name>/ 2├── SKILL.md # Required — main instructions 3├── references/ # Optional — Tier 3, loaded only on explicit request 4│ ├── README.md 5│ └── <env-specific>.md 6└── scripts/ # Optional — deterministic checks/formatters only 7 └── <script-name>.sh

Writing the description (critical for discovery)

The description determines when Claude applies the skill. It must include both WHAT and WHEN.

Rules:

  • Write in third person (injected into system prompt)
  • Be specific, include trigger terms the user would naturally say
  • Include Turkish trigger phrases if the user works in Turkish
  • Max 1024 chars

Good examples:

yaml
1# Concise and trigger-rich 2description: > 3 Review Terraform plan output for cost, security, and drift issues. Use when 4 the user says "review plan", "tf plan check", or pastes terraform plan output. 5 6# Multi-language triggers 7description: > 8 Generate conventional commit messages by analyzing staged changes. Use when 9 the user says "commit message", "write commit", or "commit yaz".

Bad examples:

yaml
1# Too vague — agent won't know when to trigger 2description: "Helps with infrastructure" 3 4# First person — wrong voice 5description: "I review your Terraform plans"

Choosing the right degree of freedom

Match specificity to the task's fragility:

FreedomWhen to useExample
High (text guidance)Multiple valid approachesCode review guidelines
Medium (templates/pseudocode)Preferred pattern with variation OKReport generation
Low (exact scripts)Fragile ops, consistency criticalDB migrations, deployments

Phase 4 — Create Files

4a. Create .claude/skills/<skill-name>/SKILL.md

Use this template — fill in every field, no placeholders left blank:

markdown
1--- 2name: <skill-name> 3description: > 4 <One sentence. What it does + when to trigger. Include natural trigger phrases.> 5argument-hint: "<what arguments this skill accepts, if any>" 6allowed-tools: <comma-separated — only tools this skill actually needs> 7disable-model-invocation: true 8--- 9 10# <Skill title> 11 12## Purpose 13 14<One paragraph. What does this skill do and why does it exist?> 15 16## When to use 17 18- <Trigger scenario 1> 19- <Trigger scenario 2> 20 21## Inputs 22 23- <Input 1: what it is, where it comes from> 24 25## Process 26 271. <Step 1 clear action> 282. <Step 2> 293. <Step 3> 304. <Step 4 what to produce and where> 31 32## Output 33 34<What the skill produces. Format, location, naming convention.> 35 36## Quality bar 37 38<Minimum standard for acceptable output. What does "done" look like?>

Key authoring principles

Concise is key. The context window is shared with conversation history, other skills, and user requests. Every token competes for space. The agent is already smart — only add context it doesn't already have.

Challenge each piece of information:

  • "Does the agent really need this?"
  • "Can I assume the agent knows this?"
  • "Does this paragraph justify its token cost?"

Keep SKILL.md under 500 lines. Use progressive disclosure — put essential info in SKILL.md, detailed reference in separate files.

markdown
1## Additional resources 2 3- For complete API details, see [reference.md](references/api.md) 4- For usage examples, see [references/examples.md](references/examples.md)

Keep references one level deep — link directly from SKILL.md. Deeply nested references may result in partial reads.

Common SKILL.md patterns

Template pattern — when output format matters

markdown
1## Report structure 2 3\`\`\`markdown 4 5# [Analysis Title] 6 7## Executive summary 8 9[One-paragraph overview] 10 11## Key findings 12 13- Finding 1 with data 14- Finding 2 with data 15 16## Recommendations 17 181. Actionable recommendation 19 \`\`\`

Examples pattern — when output quality depends on seeing examples

markdown
1## Commit format 2 3**Example 1:** 4Input: Added JWT authentication 5Output: `feat(auth): implement JWT-based authentication` 6 7**Example 2:** 8Input: Fixed timezone bug in reports 9Output: `fix(reports): correct date formatting in timezone conversion`

Workflow pattern — when steps must happen in order

markdown
1## Checklist 2 3- [ ] Step 1: Analyze input 4- [ ] Step 2: Generate mapping 5- [ ] Step 3: Validate 6- [ ] Step 4: Produce output 7- [ ] Step 5: Verify

Feedback loop pattern — for quality-critical tasks

markdown
11. Make edits 22. **Validate**: `scripts/validate.sh output/` 33. If validation fails → fix → re-validate 44. Only proceed when validation passes

4b. If references needed — create references/README.md

markdown
1# <skill-name> references 2 3Add environment-specific reference files here. These are Tier 3 — loaded only on explicit request. 4 5Example files: 6 7- `staging.md` — staging environment details 8- `production.md` — production environment details 9- `runbook.md` — step-by-step operational runbook

4c. If scripts needed — create scripts/<name>.sh

Scripts must be:

  • Deterministic status checks or formatters only
  • NOT reconstruction of logic Claude should reason through
  • Executable — remind user to chmod +x
  • Document required packages/dependencies

Phase 5 — Update Parent Agent (if applicable)

  1. Glob .claude/agents/ for directories (not .md files — those are Type A agents)
  2. For each agent directory, read its AGENT.md
  3. If the skill matches the agent's domain, ask: "This looks related to <agent-name>. Should I add this skill to its AGENT.md Skills table?"
  4. If yes, also ask which goal it serves — do not guess

Phase 6 — Print Summary

text
1Created: 2 .claude/skills/<skill-name>/SKILL.md 3 [.claude/skills/<skill-name>/references/README.md] ← if applicable 4 [.claude/skills/<skill-name>/scripts/<name>.sh] ← if applicable 5 6[Updated: .claude/agents/<agent-name>/AGENT.md] ← if applicable 7 8Trigger phrases: "<from description>" 9 10Next steps: 11 → Fill in the Process steps with your actual workflow 12 → Add reference files to references/ if you need env-specific config 13 → Test the skill by invoking its trigger phrases

Anti-Patterns to Avoid

Anti-patternProblemFix
Vague skill name (helper, utils)Agent can't match intentUse specific names: pdf-extract, pr-review
Too many tool optionsConfusing, wastes tokensProvide one default, mention alternatives only for edge cases
Verbose explanationsToken wasteThe agent is smart — only add what it doesn't know
Time-sensitive info ("before August 2025...")Goes staleUse "current" vs "deprecated" sections
Inconsistent terminologyConfusingPick one term, use it throughout
Deep reference nesting (ref → ref → ref)Partial readsKeep references one level deep from SKILL.md
Scripts that duplicate Claude's reasoningFragile, hard to maintainScripts for deterministic ops only

Complete Example

text
1pr-review/ 2├── SKILL.md 3└── references/ 4 └── standards.md

SKILL.md:

markdown
1--- 2name: pr-review 3description: > 4 Review pull requests for quality, security, and maintainability. Use when 5 the user says "review PR", "check this PR", or "PR review". 6argument-hint: "<PR number or URL>" 7allowed-tools: Read, Glob, Grep, Bash 8disable-model-invocation: true 9--- 10 11# PR Review 12 13## Purpose 14 15Review code changes in a pull request against team standards, checking for 16correctness, security, readability, and test coverage. 17 18## Process 19 201. Fetch PR diff via `gh pr diff <number>` 212. Identify changed files and categorize (new, modified, deleted) 223. For each file, check against standards in [standards.md](references/standards.md) 234. Produce review summary 24 25## Output 26 27Structured review with severity levels: 28 29- 🔴 **Critical** — must fix before merge 30- 🟡 **Suggestion** — consider improving 31- 🟢 **Nitpick** — optional enhancement 32 33## Quality bar 34 35Every critical issue must include: file path, line number, what's wrong, and a fix suggestion.

Verification Checklist

Before finalizing, verify:

  • Description is specific, includes trigger terms, written in third person
  • SKILL.md body is under 500 lines
  • Consistent terminology throughout
  • allowed-tools lists only what the skill actually needs
  • File references are one level deep
  • No time-sensitive information
  • Scripts (if any) are deterministic, not reasoning
  • No conflict with existing skills

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