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geekjourneyx/industry-research

专业的行业调研Skill,用于把行业、赛道和公司问题转成可复核的研究工作区、证据台账、置信度报告和最终研究报告。

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git clone --filter=blob:none --no-checkout https://github.com/geekjourneyx/industry-research.git .hotskills/geekjourneyx-industry-research && git -C .hotskills/geekjourneyx-industry-research checkout --detach 1dca81da1d67a56790b55f6c3cd3cd34a89af5a3 # Copy each selected skill directory from .hotskills/geekjourneyx-industry-research into .claude/skills/<skill-name>/
git clone --filter=blob:none --no-checkout https://github.com/geekjourneyx/industry-research.git .hotskills/geekjourneyx-industry-research && git -C .hotskills/geekjourneyx-industry-research checkout --detach 1dca81da1d67a56790b55f6c3cd3cd34a89af5a3 # Copy each selected skill directory from .hotskills/geekjourneyx-industry-research into .agents/skills/<skill-name>/
33GitHub stars
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1skill in this repository
0commits in 30 days

Heat

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Individual skills in this repository

How it works

industry-research

When your agent uses it

行业调研——researcher CLI + 多 Agent 对抗式研究引擎。输入一个行业/赛道/商业机会的模糊需求, 输出一份有据可依、经过证据校验和红蓝对抗检验的战略调研报告。内置国民经济行业分类映射、 MECE/PESTLE/波特五力等咨询框架、事前验尸法和黑格尔辩证法合题引擎。 支持精简/标准/深度三种报告深度。 触发方式:/industry-research、「行业调研」、「行业分析」、「赛道研究」、「市场调研」 Use when the user asks for industry research, sector analysis, market study, competitive landscape analysis, investment thesis research, or any request involving structured industry investigation. Also trigger when user mentions 调研报告, 行业研究, 赛道分析, 商业机会分析, 投资逻辑梳理, or similar phrases. Even casual requests like "帮我看看 XX行业怎么样" or "XX赛道值不值得做" should trigger this skill.

What it loads into context

Frontmatter

260 tokens

Always available to the agent

SKILL.md

10,560 tokens

When the skill is activated

Reference documents

29,877 tokens

Loaded on request

Token counts are estimates. Scripts run separately; they are not counted as reference context.

The playbook

  1. 调用方式
  2. 语言规则
  3. 运行契约
  4. 新执行中心:researcher CLI
  5. researcher 产物质量门
  6. 工具与来源约束
  7. 执行流程
  8. 工作区管理
  9. 错误处理
  10. 参考文件索引

Scripts executed separately

  • researcher/Makefile
  • researcher/cmd/researcher/main.go
  • researcher/internal/cli/cli.go
  • researcher/internal/cli/cli_test.go
  • researcher/internal/confidence/confidence.go
  • researcher/internal/confidence/confidence_test.go
  • researcher/internal/config/config.go
  • researcher/internal/config/config_test.go
  • researcher/internal/ledger/ledger.go
  • researcher/internal/ledger/ledger_test.go
  • researcher/internal/output/json.go
  • researcher/internal/output/json_test.go
  • researcher/internal/project/workspace.go
  • researcher/internal/project/workspace_test.go
  • researcher/internal/provider/bocha/bocha.go
  • researcher/internal/provider/bocha/bocha_test.go
  • researcher/internal/provider/multi/multi.go
  • researcher/internal/provider/multi/multi_test.go
  • researcher/internal/provider/volcengine/volcengine.go
  • researcher/internal/provider/volcengine/volcengine_test.go
  • researcher/internal/report/report.go
  • researcher/internal/report/report_test.go
  • researcher/internal/rerrors/errors.go
  • researcher/internal/retrieval/capabilities.go
  • researcher/internal/retrieval/capabilities_test.go
  • researcher/internal/retrieval/types.go
  • researcher/internal/trace/chain_brand.go
  • researcher/internal/trace/chain_brand_test.go
  • researcher/internal/validate/validate.go
  • researcher/internal/validate/validate_test.go
  • researcher/scripts/check-release.sh
  • researcher/scripts/package-release.sh
  • scripts/run_maiji_interview_prep_validation.sh
  • scripts/run_rrsc_smoke_validation.sh
  • scripts/validate_report.py

Files

  • .github/workflows/release-researcher.ymlasset2,010 bytes
  • .gitignoreasset291 bytes
  • AGENTS.mddoc6,555 bytes
  • CHANGELOG.mddoc1,195 bytes
  • CLAUDE.mddoc4,959 bytes
  • LICENSEasset1,069 bytes
  • README.mddoc9,434 bytes
  • SKILL.mdcore38,655 bytes
  • SKILL.mdcore38,655 bytes
  • SKILL.mdcore38,655 bytes
  • SKILL.mdcore38,655 bytes
  • SKILL.mdcore38,655 bytes
  • SKILL.mdcore38,655 bytes
  • SKILL.mdcore38,655 bytes
  • agents/blue-team.mddoc8,453 bytes
  • agents/chief-arbitrator.mddoc10,306 bytes
  • agents/engagement-manager.mddoc13,349 bytes
  • agents/red-team.mddoc10,129 bytes
  • assets/agent-skill-banner.pngasset686,730 bytes
  • assets/agent-skill-features.pngasset98,592 bytes
  • assets/agent-skill-workflow.pngasset59,292 bytes
  • evals/evals.jsonasset13,014 bytes
  • references/analytical-frameworks.mddoc7,728 bytes
  • references/chain-brand-trace-reasoning.mddoc1,258 bytes
  • references/evidence-ledger-schema.mddoc1,473 bytes
  • references/evidence-triangulation-playbook.mddoc6,530 bytes
  • references/industry-taxonomy.mddoc4,565 bytes
  • references/report-template.mddoc6,571 bytes
  • references/restaurant-retail-supply-chain-physics.mddoc11,205 bytes
  • researcher/.gitignoreasset32 bytes
  • researcher/Makefileruns1,368 bytes
  • researcher/README.mddoc5,576 bytes
  • researcher/VERSIONasset6 bytes
  • researcher/cmd/researcher/main.goruns183 bytes
  • researcher/go.modasset84 bytes
  • researcher/go.sumasset360 bytes
  • researcher/internal/cli/cli.goruns18,297 bytes
  • researcher/internal/cli/cli_test.goruns21,739 bytes
  • researcher/internal/confidence/confidence.goruns1,413 bytes
  • researcher/internal/confidence/confidence_test.goruns1,938 bytes
  • researcher/internal/config/config.goruns2,572 bytes
  • researcher/internal/config/config_test.goruns6,522 bytes
  • researcher/internal/ledger/ledger.goruns1,302 bytes
  • researcher/internal/ledger/ledger_test.goruns596 bytes
  • researcher/internal/output/json.goruns242 bytes
  • researcher/internal/output/json_test.goruns486 bytes
  • researcher/internal/project/workspace.goruns1,677 bytes
  • researcher/internal/project/workspace_test.goruns2,065 bytes
  • researcher/internal/provider/bocha/bocha.goruns11,755 bytes
  • researcher/internal/provider/bocha/bocha_test.goruns10,795 bytes
  • researcher/internal/provider/multi/multi.goruns3,470 bytes
  • researcher/internal/provider/multi/multi_test.goruns11,252 bytes
  • researcher/internal/provider/volcengine/volcengine.goruns11,453 bytes
  • researcher/internal/provider/volcengine/volcengine_test.goruns12,851 bytes
  • researcher/internal/report/report.goruns1,004 bytes
  • researcher/internal/report/report_test.goruns960 bytes
  • researcher/internal/rerrors/errors.goruns867 bytes
  • researcher/internal/retrieval/capabilities.goruns1,909 bytes
  • researcher/internal/retrieval/capabilities_test.goruns696 bytes
  • researcher/internal/retrieval/types.goruns3,809 bytes
  • researcher/internal/trace/chain_brand.goruns2,509 bytes
  • researcher/internal/trace/chain_brand_test.goruns1,345 bytes
  • researcher/internal/validate/validate.goruns522 bytes
  • researcher/internal/validate/validate_test.goruns564 bytes
  • researcher/scripts/check-release.shruns1,737 bytes
  • researcher/scripts/package-release.shruns1,317 bytes
  • scripts/run_maiji_interview_prep_validation.shruns1,086 bytes
  • scripts/run_rrsc_smoke_validation.shruns1,295 bytes
  • scripts/validate_report.pyruns13,086 bytes
Read SKILL.md

# 行业调研引擎 (Industry Research Engine)

你是一个行业研究系统的编排者。你的首要任务是调用 `researcher` CLI 生成可复核的研究工作区,再协调四个专业 Agent 审阅证据、挑战弱结论、修正置信度,并把用户的模糊调研需求转化为高质量、有据可依的战略研究报告。

核心理念:**宁可留白,不可编造。宁可悬置判断,不可虚假确定。**

---

## 调用方式

```
/industry-research [调研需求]
/industry-research --depth brief|standard|comprehensive [调研需求]
```
View the complete source on GitHub

Skills included

  • industry-research

Repository facts

License
MIT
Created
May 17, 2026
Last pushed
Jul 5, 2026
Forks
8
Open issues
0
Project activity
Slowing

Before you install

Network or broad shell

Automated signals, not a guarantee

Checked Nov 7, 2026

Not fully analyzed: some files were too long, unreadable or missing. This never lowers the level.

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  • SKILL.md:1 Analysis incomplete: Referenced executable target unavailable; not analyzed
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.gitignore

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AGENTS.md

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README.md

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    [![许可证:MIT](https://img.shields.io/badge/%E8%AE%B8%E5%8F%AF%E8%AF%81-MIT-blue.svg)](./LICENSE)
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    [![Go 1.22](https://img.shields.io/badge/Go-1.22-00ADD8.svg)](./researcher/go.mod)
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    [![智能体技能](https://img.shields.io/badge/%E6%99%BA%E8%83%BD%E4%BD%93-%E6%8A%80%E8%83%BD-c96442.svg)](./SKILL.md)
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    [![证据优先](https://img.shields.io/badge/%E8%AF%81%E6%8D%AE-%E4%BC%98%E5%85%88-2ea043.svg)](./references/evidence-ledger-schema.md)
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    仓库地址:[geekjourneyx/industry-research](https://github.com/geekjourneyx/industry-research)
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    | | | |:---|:---| | 个人主页 | [jieni.ai](https://jieni.ai) |
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    |:---|:---| | 个人主页 | [jieni.ai](https://jieni.ai) | | GitHub | [geekjourneyx](https://github.com/geekjourneyx) |
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    | 个人主页 | [jieni.ai](https://jieni.ai) |
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    | GitHub | [geekjourneyx](https://github.com/geekjourneyx) |
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    | Twitter | [@seekjourney](https://x.com/seekjourney) |

references/evidence-ledger-schema.md

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    "evidence_id": "ev_001",   "claim_id": "claim_store_count_2026",   "source_url": "https://example.com",
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    "claim_id": "claim_store_count_2026",   "source_url": "https://example.com",   "source_title": "示例来源",
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    "source_url": "https://example.com",

researcher/Makefile

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researcher/README.md

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    providers:   bocha:     endpoint: "https://api.bocha.cn/v1/web-search"
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    endpoint: "https://api.bocha.cn/v1/web-search"
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    volcengine:     endpoint: "https://ark.cn-beijing.volces.com/api/v3/responses"     model: "doubao-seed-2-0-lite-260215"
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    endpoint: "https://ark.cn-beijing.volces.com/api/v3/responses"

researcher/cmd/researcher/main.go

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researcher/internal/confidence/confidence.go

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researcher/internal/config/config.go

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    Providers: ProvidersConfig{ 			Bocha: ProviderConfig{ 				Endpoint: "https://api.bocha.cn/v1/web-search",
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    Bocha: ProviderConfig{ 				Endpoint: "https://api.bocha.cn/v1/web-search", 			},
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    Endpoint: "https://api.bocha.cn/v1/web-search",
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    }, 			Volcengine: ProviderConfig{ 				Endpoint: "https://ark.cn-beijing.volces.com/api/v3/responses",
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    Volcengine: ProviderConfig{ 				Endpoint: "https://ark.cn-beijing.volces.com/api/v3/responses", 				Model:    "doubao-seed-2-0-lite-260215",
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researcher/internal/config/config_test.go

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    t.Fatalf("Bocha API key = %q, want %q", got.Providers.Bocha.APIKey, "yaml-bocha") 	} 	if got.Providers.Bocha.Endpoint != "https://api.bocha.cn/v1/web-search" {
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    } 	if got.Providers.Bocha.Endpoint != "https://api.bocha.cn/v1/web-search" { 		t.Fatalf("Bocha endpoint = %q, want default endpoint", got.Providers.Bocha.Endpoint)
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    if got.Providers.Bocha.Endpoint != "https://api.bocha.cn/v1/web-search" {
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    t.Fatalf("Bocha endpoint = %q, want default endpoint", got.Providers.Bocha.Endpoint) 	} 	if got.Providers.Volcengine.Endpoint != "https://ark.cn-beijing.volces.com/api/v3/responses" {
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    } 	if got.Providers.Volcengine.Endpoint != "https://ark.cn-beijing.volces.com/api/v3/responses" { 		t.Fatalf("Volcengine endpoint = %q, want default endpoint", got.Providers.Volcengine.Endpoint)
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researcher/internal/ledger/ledger.go

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researcher/internal/output/json.go

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researcher/internal/provider/bocha/bocha_test.go

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    "id": "item-1", 						"name": "Luckin Coffee", 						"url": "https://example.com/luckin",
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    "name": "Luckin Coffee", 						"url": "https://example.com/luckin", 						"displayUrl": "example.com/luckin",
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    "url": "https://example.com/luckin",
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    "summary": "Luckin summary", 						"siteName": "Example", 						"siteIcon": "https://example.com/favicon.ico",
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researcher/internal/provider/volcengine/volcengine.go

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researcher/internal/provider/volcengine/volcengine_test.go

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researcher/internal/retrieval/types.go

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researcher/internal/trace/chain_brand.go

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researcher/internal/trace/chain_brand_test.go

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    Executable file

researcher/internal/validate/validate.go

  • Executable scriptline 1
    Executable file

researcher/internal/validate/validate_test.go

  • Executable scriptline 1
    Executable file

researcher/scripts/check-release.sh

  • Executable scriptline 1
    #!/usr/bin/env bash

researcher/scripts/package-release.sh

  • Executable scriptline 1
    #!/usr/bin/env bash
  • Dangerous shell operationline 13
    rm -rf "$dist_dir"
  • Dangerous shell operationline 52
    rm -rf "$work_dir"

scripts/run_maiji_interview_prep_validation.sh

  • Executable scriptline 1
    #!/usr/bin/env bash

scripts/run_rrsc_smoke_validation.sh

  • Executable scriptline 1
    #!/usr/bin/env bash

scripts/validate_report.py

  • Executable scriptline 1
    #!/usr/bin/env python3

How the signals fit together

Facts from a static read of the files at the pinned commit. They describe what the code does, not why.

Some files could not be read; the facts below still hold.

Declared and executed: 4 facts
Signal confidence: 140 facts

and 90 more

Works with

Agent compatibility, from the files in this repository
AgentStatusEvidenceInstall to
Claude CodeNativePath CLAUDE.md.claude/skills/<skill-name>/
CodexNativeManifest AGENTS.md.agents/skills/<skill-name>/
CursorCompatibleStandard SKILL.md SKILL.md.cursor/skills/<skill-name>/
Gemini CLICompatibleStandard SKILL.md SKILL.md.gemini/skills/<skill-name>/
GitHub CopilotCompatibleStandard SKILL.md SKILL.md.github/skills/<skill-name>/
OpenCodeCompatibleStandard SKILL.md SKILL.md.opencode/skills/<skill-name>/
  • Native The repository ships a manifest, folder or frontmatter field for this agent.
  • Compatible A standard SKILL.md that this agent can read.
  • Unknown No evidence either way.

Derived automatically from paths, manifests and frontmatter. Not tested on each agent.