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daily-prospection-intel每日探矿情报

Agent Skill

daily-prospection-intel 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

2,654

周安装

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GitHub Stars

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下载量

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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:daily-prospection-intel(每日探矿情报)
来源仓库:https://github.com/atomus42/daily-prospection-intel
安装命令:
openclaw skills install daily-prospection-intel
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

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简介

生成针对制药领域欧洲监管机会的每日分析报告,聚焦 EMA 最新动态。

  • 适用于医药企业战略部门、合规团队或监管机构研究人员。daily-prospection-intel 属于研究检索类 Skill,可作为该场景下的辅助能力补充。
  • 输出 .docx 格式报告,包含优先级排序与机会评估建议。
  • 使用前请核实目标平台 BRA 的访问权限与数据源稳定性。
  • 建议定期更新知识库,确保分析依据为最新政策与市场信息。

SKILL.md

ArcaScience Daily Commercial Intelligence Report

Description

Generate a comprehensive daily commercial intelligence report identifying 8 actionable European regulatory opportunities for ArcaScience's BRA platform. Output as a professionally formatted .docx file.

Trigger

Use this skill when the user asks to:

  • Generate a daily prospection/intelligence report
  • Find commercial targets or opportunities in pharma
  • Research European regulatory developments for ArcaScience
  • Create a "pulse" or "intel" report
  • Run the daily prospection task

Also triggered automatically by the daily-prospection-intel cron job.

Instructions

Phase 1: Research (Web Search Required)

Search for the latest European regulatory developments from the past 24-48 hours. Run ALL of these searches:

  1. EMA/CHMP opinions: Search site:ema.europa.eu CHMP opinion 2026 and EMA CHMP positive negative opinion this week
  2. Marketing authorizations: Search EMA new marketing authorization application validated 2026
  3. PRAC signals: Search EMA PRAC safety signal referral 2026
  4. Priority pathologies: Search each of these individually:

- TNBC triple negative breast cancer EMA regulatory 2026 - hidradenitis suppurativa EMA CHMP 2026 - rheumatoid arthritis EMA new treatment 2026

  1. Adjacent pathologies: Search EMA CHMP negative opinion re-examination 2026 and biosimilar CHMP positive opinion 2026
  2. Clinical readouts: Search phase 3 results Europe oncology immunology 2026

For each finding, verify the regulatory trigger is SPECIFIC and RECENT (within the last week ideally).

Phase 2: Target Selection & Prioritization

Select exactly 8 targets following this STRICT priority framework:

PRIORITY 1 (minimum 3 targets): Core pathologies — TNBC, Hidradenitis Suppurativa, Rheumatoid Arthritis. If fewer than 3 opportunities exist in these exact pathologies, expand to biologically adjacent areas:

  • TNBC adjacent: other breast cancers, ADC therapies, TROP2/HER2 targets
  • HS adjacent: atopic dermatitis, psoriasis, JAK inhibitor applications
  • RA adjacent: lupus, ankylosing spondylitis, psoriatic arthritis, other anti-TNF/JAK/IL-6 targets

PRIORITY 2 (minimum 2 targets): Biologically adjacent pathologies — rare neuro, neuromuscular, pediatric rare diseases, immune-mediated inflammatory diseases.

PRIORITY 3 (minimum 3 targets): Lowest-hanging fruits most compatible with ArcaScience technology — regardless of pathology:

  • Biosimilar evidence strategies (multi-indication, interchangeability)
  • CHMP negative opinions needing re-examination (HIGHEST VALUE — companies are desperate)
  • Complex multi-indication filings
  • Pediatric investigation plan challenges
  • Lifecycle management / Type II variations with evidence gaps

Phase 3: Intelligence Compilation

For EACH of the 8 targets, compile:

  1. Company: Full legal entity name (EU subsidiary if applicable)
  2. Molecule: INN (brand name) — include mechanism of action
  3. Indication: Specific therapeutic indication under regulatory review
  4. Pathology: Disease area
  5. Regulatory Status: Current EMA/CHMP/PRAC status with exact dates
  6. Regulatory Trigger (2-3 paragraphs): What happened, why it matters NOW, what the company needs. Be SPECIFIC — reference committee meeting dates, vote outcomes, methodology concerns raised, competitive dynamics.
  7. ArcaScience Narrative & Positioning (3-4 bullet points): How ArcaScience SPECIFICALLY addresses this company's challenge. Reference concrete ArcaScience capabilities:

- Evidence mapping & cross-indication harmonization - Regulatory gap analysis (pre-empting CHMP questions) - Endpoint & statistical narrative alignment - Bridging strategies (pediatric, geographic, cross-study) - Dynamic benefit-risk modeling (continuous vs. periodic) - Post-marketing RWE study design - Multi-indication HTA evidence strategy - Re-examination evidence reconstruction (for negative opinions)

  1. Key Contacts / Outreach Target: Role titles and locations (EU regulatory affairs lead, CMO, VP PV, etc.). Reference the company dossiers in arcascience_dossiers/companies/ if available.
  2. Outreach Email Template: A COMPLETE, ready-to-send email (see Email Template Rules below).

Phase 4: Document Generation

Generate the report as a .docx file using docx-js. The file MUST follow this exact structure:

Page 1: Cover

  • "ARCASCIENCE" (bold, large)
  • "DAILY COMMERCIAL INTELLIGENCE REPORT"
  • "European Regulatory Pulse — Targeted Opportunities"
  • Today's date
  • "8 Commercial Targets | 3 Priority Tiers | Europe Focus"

Priority Legend

  • ● PRIORITY 1: TNBC | Hidradenitis Suppurativa | Rheumatoid Arthritis
  • ● PRIORITY 2: Biologically adjacent pathologies
  • ● PRIORITY 3: Lowest-hanging fruits — biosimilar evidence & lifecycle strategy

Executive Summary

4-6 bullet points highlighting the KEY signals of the day. Emphasize:

  • Urgency (negative opinions, re-examinations, competitive races)
  • ArcaScience-specific relevance
  • Market size / strategic importance

Targets #1 through #8

Each target gets its own section with all 9 elements from Phase 3.

File naming

ArcaScience_Daily_Intel_YYYYMMDD.docx

Save to the workspace folder.

Email Template Rules

Every outreach email MUST follow this structure:

Subject: [Specific regulatory trigger] — [ArcaScience capability match]

Dear [Role Title],

[Opening paragraph: Reference the SPECIFIC regulatory event. Show you know what happened and why it matters to them. 2-3 sentences max.]

[Value paragraph: Position ArcaScience as the solution to their specific challenge. Reference their pipeline, their regulatory history, their competitive context. 3-4 sentences.]

Specifically, we can support:

• [Capability 1 — tied to their specific situation]
• [Capability 2 — tied to their specific situation]
• [Capability 3 — tied to their specific situation]

[Closing: Suggest a 30-minute call. Be specific about timing if possible.]

Best regards,
[Your name]
ArcaScience

Rules:

  • NEVER use generic language like "your organization" or "companies like yours"
  • ALWAYS reference the specific molecule, indication, and regulatory event
  • ALWAYS include at least 3 specific capability bullets
  • Subject line must be under 80 characters and reference the trigger
  • Language: English (report and emails are always in English)

References

Embedded References (in this skill's references/ folder)

  • references/arcascience-context.md — Full company context & positioning
  • references/sales-package-platform.md — BRA platform deck, one-pagers, evidence infrastructure
  • references/sales-package-proposals.md — Client proposals (Dilon, Sanofi, Asphalion) & BRA analysis
  • references/sales-package-personae.md — Buyer personae analysis (14 personas with scoring)
  • references/sales-package-operations.md — Sales org process, contracts templates

External Dossiers (in the GitHub repo — read on demand)

  • Company dossiers: C:\Users\Romai\OneDrive\Documents\GitHub\Decks-Docs\arcascience_dossiers\companies\ (100 files)
  • Stakeholder profiles: C:\Users\Romai\OneDrive\Documents\GitHub\Decks-Docs\arcascience_dossiers\stakeholders\
  • Master targeting table: C:\Users\Romai\OneDrive\Documents\GitHub\Decks-Docs\arcascience_dossiers\master_targeting_table.csv
  • Company list: C:\Users\Romai\OneDrive\Documents\GitHub\Decks-Docs\arcascience_dossiers\COMPANY_LIST.md

Quality Checklist (Self-Verify Before Delivering)

  • [ ] Exactly 8 targets (not 7, not 9)
  • [ ] At least 3 Priority 1, 2 Priority 2, 3 Priority 3
  • [ ] Every regulatory trigger references a SPECIFIC event with a date
  • [ ] Every ArcaScience narrative has at least 3 SPECIFIC capability bullets
  • [ ] Every email template is customized (no copy-paste with name changes)
  • [ ] No targets older than 1 week unless re-examination is ongoing
  • [ ] .docx file is properly formatted and saved to workspace
  • [ ] File named ArcaScience_Daily_Intel_YYYYMMDD.docx

适合场景

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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

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能力概览

能力 1

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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。

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安装前确认

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