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configureconfigure 搜索

Agent Skill

configure 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

776

周安装

32

GitHub Stars

152

下载量

253
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

3

许可证

MIT

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:configure(configure 搜索)
来源仓库:https://github.com/yonatangross/skillforge-claude-plugin
仓库路径:skills/configure
安装命令:
npx skills add https://github.com/yonatangross/skillforge-claude-plugin --skill configure
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。不同来源提供的安装方式可能略有差异;本站展示可直接复制的安装命令,安装前请核对来源页面。

skills.shnpx skills
npx skills add https://github.com/yonatangross/skillforge-claude-plugin --skill configure

简介

configure 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中快速定位候选结果。

  • 适用于根据关键词、任务场景或来源线索进行信息搜集与整理的研究检索场景。
  • 通过 npx skills add 命令从 GitHub 仓库安装并使用。
  • 安装前需确认权限范围、维护状态,注意是否触发联网、命令执行或文件读写操作。
  • 建议结合原始 README 和仓库内容进一步核验具体用法和功能边界。

SKILL.md

OrchestKit Configuration

Interactive setup for customizing your OrchestKit installation.

Quick Start

/ork:configure
/ork:configure mcp memory

Argument Resolution

PRESET = "$ARGUMENTS[0]"   # Optional preset name or subcommand, e.g., "mcp"
TARGET = "$ARGUMENTS[1]"   # Optional target, e.g., "memory"
# If no arguments, run interactive wizard.
# $ARGUMENTS is the full string (CC 2.1.59 indexed access)

Step 1: Choose Preset

Use AskUserQuestion:

PresetSkillsAgentsHooksDescription
Complete913196Everything
Standard91096Skills, no agents
Lite10096Essential only
Hooks-only0096Just safety
Monorepo913196Complete + monorepo detection

Step 2: Customize Skill Categories

Categories available:

  • AI/ML (28 skills)
  • Backend (16 skills)
  • Frontend (9 skills)
  • Testing (14 skills)
  • Security (7 skills)
  • DevOps (5 skills)
  • Planning (7 skills)
  • Workflow (5 skills)

Step 3: Customize Agents

Product Agents (2):

  • market-intelligence
  • product-strategist

Technical Agents (17):

  • backend-system-architect
  • frontend-ui-developer
  • database-engineer
  • llm-integrator
  • workflow-architect
  • data-pipeline-engineer
  • test-generator
  • code-quality-reviewer
  • security-auditor
  • security-layer-auditor
  • debug-investigator
  • system-design-reviewer
  • python-performance-engineer
  • frontend-performance-engineer
  • monitoring-engineer
  • event-driven-architect
  • infrastructure-architect

Operations Agents (6):

  • ci-cd-engineer
  • deployment-manager
  • git-operations-engineer
  • release-engineer
  • ai-safety-auditor
  • multimodal-specialist

Research Agents (4):

  • web-research-analyst
  • market-intelligence
  • design-system-architect
  • demo-producer

Step 4: Configure Hooks

Safety Hooks (Always On):

  • git-branch-protection
  • file-guard
  • redact-secrets

Toggleable Hooks:

  • Productivity (auto-approve, logging)
  • Quality Gates (coverage, patterns)
  • Team Coordination (locks, conflicts)
  • Notifications (desktop, sound)
CC 2.1.49 Managed Settings: OrchestKit ships plugin settings.json with default hook permissions. These are *managed defaults* — users can override them in project or user settings. Enterprise admins can lock managed settings via managed profiles.

Step 5: Configure MCPs (Optional)

All 5 MCPs ship enabled by default. Tavily requires an API key; agentation requires a local package install.

MCPPurposeDefaultRequires
context7Library documentationenabledNothing
memoryCross-session persistenceenabledNothing
sequential-thinkingStructured reasoning for subagentsenabledNothing
tavilyWeb search + extractionenabledAPI key (free tier: app.tavily.com)
agentationUI annotation toolenablednpm install agentation-mcp
Why all enabled? OrchestKit ships 30+ Sonnet/Haiku subagents. While Opus 4.6 has native extended thinking, Sonnet and Haiku do not — they benefit from sequential-thinking. Tavily and agentation are used by specific agents (see mcpServers in agent frontmatter). CC's MCPSearch auto-defers schemas when overhead exceeds 10% of context, so token cost is managed automatically.
Background agents: MCP tools are NOT available in background subagents (hard CC platform limitation). Agents that need MCP tools must run in the foreground.

Already have these MCPs installed globally? If Tavily or memory are already in your ~/.claude/mcp.json, skip enabling them here to avoid duplicate entries. OrchestKit agents will use whichever instance Claude Code resolves first.

Opt out of claude.ai MCP servers (CC 2.1.63+): Claude Code may load MCP servers from claude.ai by default. To disable this and only use locally-configured MCPs:

export ENABLE_CLAUDEAI_MCP_SERVERS=false

Add to your shell profile (~/.zshrc or ~/.bashrc) to persist across sessions. This only affects MCP servers sourced from claude.ai — locally-configured MCPs in .mcp.json and ~/.claude/mcp.json are unaffected.

Steps 6-9: CC Version-Specific Settings

Load details: Read("${CLAUDE_SKILL_DIR}/references/cc-version-settings.md") for full configuration options.

Covers CC 2.1.7 (MCP deferral threshold, effective context window), CC 2.1.20 (task deletion, PR enrichment, agent permissions, monorepo detection, team distribution), CC 2.1.23 (spinner verbs customization), and CC 2.1.79 (turn duration display).

Step 10: Webhook & Telemetry Configuration

Configure dual-channel telemetry for streaming session data to HQ or your own API.

AskUserQuestion(questions=[{
  "question": "Set up session telemetry?",
  "header": "Telemetry",
  "options": [
    {"label": "Full streaming (Recommended)", "description": "All 18 events stream via native HTTP + enriched summaries"},
    {"label": "Summary only", "description": "SessionEnd and worktree events only (command hooks)"},
    {"label": "Skip", "description": "No telemetry — hooks run locally only"}
  ],
  "multiSelect": false
}])

If "Full streaming"

  1. Ask for webhook URL:
AskUserQuestion(questions=[{
  "question": "What is your webhook endpoint URL?",
  "header": "Webhook URL",
  "options": [
    {"label": "Custom URL", "description": "Enter your API endpoint (e.g., https://api.example.com/hooks)"}
  ],
  "multiSelect": false
}])
  1. Run the HTTP hook generator:
npm run generate:http-hooks -- <webhook-url> --write
  1. Save webhookUrl to orchestration config for command hooks:
# File: .claude/orchestration/config.json
saveConfig({ webhookUrl: "<webhook-url>" })
  1. Remind the user to set the auth token:
Set ORCHESTKIT_HOOK_TOKEN in your environment (never in config files):
  export ORCHESTKIT_HOOK_TOKEN=your-secret

Two channels now active:
  Channel 1 (HTTP):    All 18 events → /cc-event (Bearer auth, zero overhead)
  Channel 2 (Command): SessionEnd → /ingest (HMAC auth, enriched data)

If "Summary only"

Save webhookUrl to config and remind about env var (same as above, skip generator step).

Load Read("${CLAUDE_SKILL_DIR}/references/http-hooks.md") for architecture details.

Step 11: Optional Integrations

Load details: Read("${CLAUDE_SKILL_DIR}/references/integrations.md") for full integration setup steps.

Covers Agentation UI annotation tool (npm install, MCP config, component scaffold, CSP updates). All steps are idempotent.

Step 12: Preview & Save

Tip (CC 2.1.69+): After saving configuration changes, run /reload-plugins to activate them without restarting your session.

Save to: ~/.claude/plugins/orchestkit/config.json

{
  "version": "1.0.0",
  "preset": "complete",
  "skills": { "ai_ml": true, "backend": true, ... },
  "agents": { "product": true, "technical": true },
  "hooks": { "safety": true, "productivity": true, ... },
  "mcps": { "context7": false, ... }
}

VSCode: Remote Control (CC 2.1.79+)

VSCode users can run /remote-control to bridge their terminal session to claude.ai/code. This lets you continue the same session from a browser or phone — useful for monitoring long-running configurations or agent tasks away from your desk.

Related Skills

  • ork:doctor: Diagnose configuration issues

References

Load on demand with Read("${CLAUDE_SKILL_DIR}/references/<file>"):

FileContent
references/presets.mdPreset definitions
references/mcp-config.mdMCP configuration
references/http-hooks.mdCC 2.1.63+ observability hooks (Langfuse, Datadog, custom endpoints)
references/cc-version-settings.mdCC 2.1.7, 2.1.20, 2.1.23, 2.1.79 version-specific settings
references/integrations.mdOptional third-party integrations (Agentation)

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

04

需要参考平台分布和安装热度时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Claude Code

31.61%
按下载量换算80

OpenCode

23.2%
按下载量换算59

Antigravity

17.81%
按下载量换算45

Gemini CLI

13.72%
按下载量换算35

windsurf

8.24%
按下载量换算21

trae

3.47%
按下载量换算9

安全审计

Gen Agent Trust Hub

可疑

Socket

可疑

Snyk

未通过

权限和风险

敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。

来源信息

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