القائمة
LLM guide for creating, publishing, and running Enact tools
يُحدَّد Prompt الذي يراجع المصدر أولًا بشكل افتراضي. يمكنك التبديل إلى أمر مباشر أو تنزيل نسخة محلية.
اقرأ SKILL.md وأي ملفات مرافقة يعرضها SkillsMP قبل أن تقرر التثبيت.
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
يتجاوز الأمر المباشر Prompt المخصّص للمراجعة. افحص المصدر قبل تشغيله.
npx skills add https://github.com/aiskillstore/marketplace --skill enact-docs-guideيبقى الأمر في سطر واحد. مرّر أفقيًا لمراجعته كاملًا قبل النسخ.
تفضّل نسخة محلية؟ نزّل الملفات المتاحة حاليًا لدى SkillsMP.
Maintain a portable task-state ledger for long, multi-step work. Use when a task spans many files, produces large logs, needs a reliable handoff, or requires traceable evidence without repeatedly loading full outputs. Creates concise state records and private evidence references with explicit limits, redaction checks, and retention guidance.
【收纳储物必看】装修前不会规划收纳，入住半年家变仓库？这个 Skill 内置装修课堂会员版「家居收纳储物方法」152篇原创知识库，专门讲收纳储物——收纳是家的骨架、柜子不是越多越好、收纳本质是把东西藏起来、收纳加勤快缺一不可。问玄关鞋柜怎么装、问厨房9个收纳位置、问衣柜衣帽间怎么做、问小户型怎么榨干每1平米、问收纳避坑和鸡肋神器，全部覆盖。适合正在装修、准备收纳规划、家里东西多总是乱、想做满墙柜/通顶柜/800库的业主。
【儿童房装修必看】家里有小孩、正准备要孩子、或想给儿童房做环保安全装修？这个 Skill 内置装修课堂知识库，专门讲"适童化"——儿童是最易受甲醛伤害的人群，儿童房必须实木/ENF/控总量。问儿童房怎么装环保、问儿童房墙面地面用什么、问儿童家具选实木还是人造板、问孩子学习/游戏专区怎么规划、问有娃家庭怎么防磕碰防污染，全部覆盖。适合家里有娃、备孕婚房、想装出健康儿童房的业主。
استنادا إلى تصنيف SOC المهني
عرض SKILL.md
| enact | 2.0.0 |
| name | enact-docs-guide |
| version | 1.0.0 |
| description | LLM guide for creating, publishing, and running Enact tools |
| license | MIT |
| tags | ["documentation","guide","llm","tutorial"] |
| authors | [{"name":"Enact Protocol"}] |
| annotations | {"title":"Enact Tool Creation Guide","readOnlyHint":true} |
| inputSchema | {"type":"object","properties":{"topic":{"type":"string","description":"Specific topic to learn about","enum":["overview","creating","commands","languages","secrets","publishing","all"],"default":"all"}}} |
Enact: Containerized tools with structured I/O for AI agents.
enact run ./tool --input "key=value" # Run local tool
enact run ./tool --args '{"key":"value"}' # Run with JSON
enact run author/tool --input "x=y" # Run installed tool
enact install author/tool # Install to project
enact install author/tool -g # Install globally
enact search "query" # Find tools
enact sign ./tool && enact publish ./tool # Publish
my-tool/
├── enact.md # Required: YAML frontmatter + docs
└── main.py # Your code (any language)
---
enact: "2.0.0"
name: "namespace/category/tool-name"
version: "1.0.0"
description: "What it does"
from: "python:3.12-slim"
build: "pip install requests pandas"
command: "python /workspace/main.py ${input}"
timeout: "30s"
inputSchema:
type: object
properties:
input:
type: string
description: "Input description"
required: [input]
outputSchema:
type: object
[, ]
| Field | Required | Description |
|---|---|---|
name | Yes | namespace/category/tool |
description | Yes | What it does |
command | No* | Shell command with ${param} substitution |
from | No | Docker image (default: alpine:latest) |
build | No | Build commands (string or array), cached |
inputSchema | No | JSON Schema for inputs |
outputSchema | No | JSON Schema for outputs |
env | No | Environment vars (secret: true for keyring) |
timeout | No | Max runtime (default: 30s) |
version | No | Semver version |
tags | No | Discovery keywords |
*Tools without command are LLM instruction tools (markdown interpreted by AI).
from: "python:3.12-slim"
build: "pip install pandas"
command: "python /workspace/main.py ${input}"
from: "node:20-alpine"
build: "npm install"
command: "node /workspace/index.js ${input}"
from: "rust:1.83-slim"
build: "rustc /workspace/main.rs -o /workspace/app"
command: "/workspace/app ${input}"
from: "golang:1.22-alpine"
build: "go build -o /workspace/app /workspace/main.go"
command: "/workspace/app ${input}"
command: "echo 'Hello ${name}'"
Always output JSON matching outputSchema:
#!/usr/bin/env python3
import sys, json
input_val = sys.argv[1]
result = {"result": input_val.upper()}
print(json.dumps(result))
env:
API_KEY:
description: "API key"
secret: true # Stored in OS keyring, not .env
User sets: enact env set API_KEY --secret --namespace myorg/tools
Access in code via environment variable: os.environ['API_KEY']
command): Runs in Docker, deterministiccommand): Markdown body interpreted by LLM# 1. Create
mkdir my-tool && cd my-tool
# Create enact.md + source files
# 2. Test
enact run . --input "test=value"
# 3. Publish
enact auth login
enact sign .
enact publish .
name: namespace/category/tool formatdescription: clear, searchableinputSchema: validates inputsoutputSchema: documents outputfrom: pinned image version (not latest)build: installs dependenciescommand: uses ${param} for inputs