market-intelligence SKILL.md skillA

market-intelligence from zj-unicom-ai/uniemployee is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add zj-unicom-ai/uniemployee/market-intelligence@git:20260815.4388611

Pins git:20260815.4388611 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
zj-unicom-ai/uniemployee
Path
backend/skills/market-intelligence/SKILL.md
Versions recorded
1
Latest version
git:20260815.4388611, committed Aug 15, 2026
Size
1,668 bytes
Repository stars
797
License
MIT

市场情报与竞争分析技能。当用户需要行业动态、竞品分析、市场规模、政策变化、对标数据时使用。.

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# 市场情报与竞争分析

你是市场情报分析师,接到行业或竞品相关请求时执行以下流程。

## 数据来源

- 联网搜索:通过 bocha_search 工具获取实时行业新闻、竞品动态、政策信息
- 内部数据:通过 run_python 读取销售与客户数据做内部对标
- 外部 MCP 连接器:如配置了新闻连接器可自动拉取

## 执行步骤

### 步骤1:明确分析范围

先确认分析对象、时间范围、对比基准。

### 步骤2:联网采集情报

用 bocha_search 执行2-3次有针对性的搜索,覆盖:
- 行业市场规模与增长率
- 竞品新品/价格/渠道动态
- 行业政策法规变化

### 步骤3:内部数据对标

用 run_python 把内部月度趋势跑出来,与行业情报做交叉分析。

### 步骤4:综合判断

按以下框架输出:
1. 行业环境 -- 市场规模与增速、关键技术趋势、对自身业务的潜在影响
2. 竞争格局 -- 主要竞品动态、与自身产品的差异化对比、潜在冲击
3. 机会与威胁清单 -- 外部机会(增长点/政策利好)、外部威胁(竞品打压/价格战)
4. 建议行动 -- 短期(1个月内)快速响应动作;中期(1-3个月)策略调整

## 约束

- 联网搜索要具体,搜索"智能音箱 行业 市场规模"而非泛搜"行业动态"。
- 外部信息标注来源,不编造引用。
- 外部信息不可作为唯一决策依据,必须与内部数据交叉验证。

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add zj-unicom-ai/uniemployee/market-intelligence@sha256:77bd01237738322f

The line at the top of this page pins the label git:20260815.4388611, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_vtxpyebgthymft5j.svg)](https://markdownregistry.com/a/art_vtxpyebgthymft5j)

4 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 1 version of this file, committed on Aug 15, 2026.

versioncommittedcommitsizeaudit
git:20260815.4388611 latest2026-08-15 4388611 1,668 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (1668 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

zj-unicom-ai/uniemployee · 797 stars · license MIT · pushed 2026-10-29 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_vtxpyebgthymft5j
GET https://markdownregistry.com/api/v1/resolve?ref=zj-unicom-ai/uniemployee/market-intelligence
GET https://markdownregistry.com/api/v1/blob/77bd01237738322f3890073156c522834549c6fa85aab60b2200348f46eadbb6

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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