Individual skill
industry-research
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.
SKILL.md
Source commit 1dca81da1d67a56790b55f6c3cd3cd34a89af5a3
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- Matches the observed repository HEAD
- Yes
- Scanner rules are current
- No
- Repository scan complete
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- Skill scan complete
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- Observed behavior
- Not checked yet
- Last checked
- Nov 11, 2026
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Repository context
- Repository stars (not skill ratings)
- 33
- Repository last updated
- Jul 5, 2026
- License
- MIT
Observed agent integration: claude-code, codex
- agent-skills Repository topic
- claude-code Repository topic
- claude-skills Repository topic
- codex Repository topic
- codex-skills Repository topic
- industry-research Repository topic
- market-research Repository topic
- openclaw Repository topic
- research-automation Repository topic
- cli Repository topic
- research Derived category
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Browse files
.github/workflows/release-researcher.ymlasset · 2,010 bytes.gitignoreasset · 291 bytesAGENTS.mddoc · 6,555 bytesCHANGELOG.mddoc · 1,195 bytesCLAUDE.mddoc · 4,959 bytesLICENSEasset · 1,069 bytesREADME.mddoc · 9,434 bytesSKILL.mdcore · 38,655 bytesSKILL.mdcore · 38,655 bytesSKILL.mdcore · 38,655 bytesSKILL.mdcore · 38,655 bytesSKILL.mdcore · 38,655 bytesSKILL.mdcore · 38,655 bytesSKILL.mdcore · 38,655 bytesagents/blue-team.mddoc · 8,453 bytesagents/chief-arbitrator.mddoc · 10,306 bytesagents/engagement-manager.mddoc · 13,349 bytesagents/red-team.mddoc · 10,129 bytesassets/agent-skill-banner.pngasset · 686,730 bytesassets/agent-skill-features.pngasset · 98,592 bytesassets/agent-skill-workflow.pngasset · 59,292 bytesevals/evals.jsonasset · 13,014 bytesreferences/analytical-frameworks.mddoc · 7,728 bytesreferences/chain-brand-trace-reasoning.mddoc · 1,258 bytesreferences/evidence-ledger-schema.mddoc · 1,473 bytesreferences/evidence-triangulation-playbook.mddoc · 6,530 bytesreferences/industry-taxonomy.mddoc · 4,565 bytesreferences/report-template.mddoc · 6,571 bytesreferences/restaurant-retail-supply-chain-physics.mddoc · 11,205 bytesresearcher/.gitignoreasset · 32 bytesresearcher/Makefileruns · 1,368 bytesresearcher/README.mddoc · 5,576 bytesresearcher/VERSIONasset · 6 bytesresearcher/cmd/researcher/main.goruns · 183 bytesresearcher/go.modasset · 84 bytesresearcher/go.sumasset · 360 bytesresearcher/internal/cli/cli.goruns · 18,297 bytesresearcher/internal/cli/cli_test.goruns · 21,739 bytesresearcher/internal/confidence/confidence.goruns · 1,413 bytesresearcher/internal/confidence/confidence_test.goruns · 1,938 bytesresearcher/internal/config/config.goruns · 2,572 bytesresearcher/internal/config/config_test.goruns · 6,522 bytesresearcher/internal/ledger/ledger.goruns · 1,302 bytesresearcher/internal/ledger/ledger_test.goruns · 596 bytesresearcher/internal/output/json.goruns · 242 bytesresearcher/internal/output/json_test.goruns · 486 bytesresearcher/internal/project/workspace.goruns · 1,677 bytesresearcher/internal/project/workspace_test.goruns · 2,065 bytesresearcher/internal/provider/bocha/bocha.goruns · 11,755 bytesresearcher/internal/provider/bocha/bocha_test.goruns · 10,795 bytesresearcher/internal/provider/multi/multi.goruns · 3,470 bytesresearcher/internal/provider/multi/multi_test.goruns · 11,252 bytesresearcher/internal/provider/volcengine/volcengine.goruns · 11,453 bytesresearcher/internal/provider/volcengine/volcengine_test.goruns · 12,851 bytesresearcher/internal/report/report.goruns · 1,004 bytesresearcher/internal/report/report_test.goruns · 960 bytesresearcher/internal/rerrors/errors.goruns · 867 bytesresearcher/internal/retrieval/capabilities.goruns · 1,909 bytesresearcher/internal/retrieval/capabilities_test.goruns · 696 bytesresearcher/internal/retrieval/types.goruns · 3,809 bytesresearcher/internal/trace/chain_brand.goruns · 2,509 bytesresearcher/internal/trace/chain_brand_test.goruns · 1,345 bytesresearcher/internal/validate/validate.goruns · 522 bytesresearcher/internal/validate/validate_test.goruns · 564 bytesresearcher/scripts/check-release.shruns · 1,737 bytesresearcher/scripts/package-release.shruns · 1,317 bytesscripts/run_maiji_interview_prep_validation.shruns · 1,086 bytesscripts/run_rrsc_smoke_validation.shruns · 1,295 bytesscripts/validate_report.pyruns · 13,086 bytes
Read excerpt
# 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]
```