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synerosynero 搜索

Agent Skill

synero 用于查找、检索和筛选相关信息,适合在 OpenClaw 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

8,760

周安装

365

GitHub Stars

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下载量

2,920
OpenClaw

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

2

许可证

MIT-0

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:synero(synero 搜索)
来源仓库:https://github.com/blovett80/synero
安装命令:
openclaw skills install synero
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。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install synero

简介

向四位异构 AI 顾问提问并获得综合答案,提升结果可信度。

  • 适用于需要多角度验证信息或复杂问题深度解析场景。
  • 统一接口封装多模型推理过程,输出一致性结论摘要。
  • 每次查询消耗相应 token 配额,需注意成本控制策略。
  • 建议优先用于高风险决策前的交叉验证环节。synero 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

name
synero
description
Ask Synero’s AI Council questions from the terminal and get one synthesized answer from four contrasting AI advisors. Use when a user wants a higher-confidence take on strategy, research, architecture, hiring, positioning, or other judgment-heavy questions where multiple perspectives beat a single-model reply.
metadata

Synero Skill

Use this skill to query Synero from the terminal when one AI answer is not enough. Synero is positioned as a collective AI intelligence product: one prompt goes to four advisors with different reasoning styles, then Synero synthesizes them into a single response.

This is most useful for ambiguous or high-leverage questions where you want disagreement, tradeoffs, blind-spot checking, and a clearer final recommendation.

What this skill helps with

Use it for prompts like:

  • product or roadmap decisions with meaningful tradeoffs
  • technical architecture reviews and go/no-go questions
  • research questions where cross-checking perspectives improves trust
  • hiring, org, or leadership choices with second-order effects
  • messaging, positioning, or content strategy that benefits from competing angles

Prefer simpler tools for basic factual lookups or one-shot chores. This skill shines when the question is judgment-heavy.

What it does

  • Sends a prompt to Synero’s council endpoint
  • Supports 4 advisor roles: architect, philosopher, explorer, maverick
  • Returns either:

- a synthesized final answer for normal use, or - raw SSE stream output for debugging and live visibility

  • Supports optional thread continuity and per-slot model overrides

Prerequisites

Get your API key from https://synero.ai, then export it before running the script:

export SYNERO_API_KEY="sk_live_..."

If you are not sure where to get the key, sign in at https://synero.ai and use the API/settings area there.

Optional environment variables:

export SYNERO_API_URL="https://synero.ai/api/query"
export SYNERO_TIMEOUT="120"
export SYNERO_MODEL_ARCHITECT="gpt-5.2"
export SYNERO_MODEL_PHILOSOPHER="claude-opus-4-6"
export SYNERO_MODEL_EXPLORER="gemini-3.1-pro-preview"
export SYNERO_MODEL_MAVERICK="grok-4"
export SYNERO_MODEL_SYNTHESIZER="gpt-4.1"

Quick command

python3 ~/.openclaw/skills/synero/scripts/synero-council.py "Should we ship this feature in the next 30 days?"

That command uses SYNERO_API_KEY from your environment and sends the request to Synero at https://synero.ai/api/query unless you override SYNERO_API_URL.

Quiet final-output mode

Use --quiet when you want only the synthesized answer with no extra status lines:

python3 ~/.openclaw/skills/synero/scripts/synero-council.py --quiet "Evaluate this architecture plan and recommend a prototype path."

Streaming and debugging mode

Use --raw when you want the raw event stream for troubleshooting or to inspect council behavior live:

python3 ~/.openclaw/skills/synero/scripts/synero-council.py --raw "What are the strongest arguments for and against this pricing change?"

Advanced configuration

Use model overrides when you want to pin specific advisors or a specific synthesizer:

python3 ~/.openclaw/skills/synero/scripts/synero-council.py \
  --thread-id "your-thread-id" \
  --advisor-model architect=gpt-5.2 \
  --advisor-model philosopher=claude-opus-4-6 \
  --advisor-model explorer=gemini-3.1-pro-preview \
  --advisor-model maverick=grok-4 \
  --synthesizer-model gpt-4.1 \
  "Your question"

Output behavior

Default mode prints:

  • HTTP status line
  • final synthesized answer

--quiet prints:

  • final synthesized answer only

--raw prints:

  • raw SSE events from the API

Prompting guidance

Write prompts that invite useful disagreement, not generic brainstorming.

  • Ask for tradeoffs, risks, assumptions, and a recommendation
  • Include operating constraints such as timeline, budget, team size, and risk tolerance
  • Use --thread-id when continuing the same topic across multiple rounds
  • Use --quiet when another tool or script needs clean final text only
  • Use --raw when debugging streaming behavior or inspecting advisor outputs

For reusable prompt templates, read:

  • references/prompt-patterns.md

Error handling

  • Missing key → exits with clear guidance to set SYNERO_API_KEY
  • HTTP failure → prints status and response body
  • Network failure → prints a clear network error
  • Empty synthesis → exits non-zero instead of pretending things are fine

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

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

OpenClaw

90.38%
按下载量换算2,639

安全审计

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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

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来源信息

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