Conference Tweet Generator

Source: https://github.com/aipoch/medical-research-skills

When to Use

• Use this skill when the request matches its documented task boundary.
• Use it when the user can provide the required inputs and expects a structured deliverable.
• Prefer this skill for repeatable, checklist-driven execution rather than open-ended brainstorming.

Key Features

• Scope-focused workflow aligned to: Generates academic conference tweets and summaries by filtering abstracts, translating content, and creating engaging titles. Use when you need to process conference abstracts into social media content.
• Packaged executable path(s): scripts/validate_skill.py.
• Reference material available in references/ for task-specific guidance.
• Structured execution path designed to keep outputs consistent and reviewable.

Dependencies

• Python: 3.10+. Repository baseline for current packaged skills.
• Third-party packages: not explicitly version-pinned in this skill package. Add pinned versions if this skill needs stricter environment control.

Example Usage

cd "20260316/scientific-skills/Others/conference-tweet-generator"
python -m py_compile scripts/validate_skill.py
python scripts/validate_skill.py --help

Example run plan:

1. Confirm the user input, output path, and any required config values.
2. Edit the in-file CONFIG block or documented parameters if the script uses fixed settings.
3. Run python scripts/validate_skill.py with the validated inputs.
4. Review the generated output and return the final artifact with any assumptions called out.

Implementation Details

See ## Workflow above for related details.

• Execution model: validate the request, choose the packaged workflow, and produce a bounded deliverable.
• Input controls: confirm the source files, scope limits, output format, and acceptance criteria before running any script.
• Primary implementation surface: scripts/validate_skill.py.
• Reference guidance: references/ contains supporting rules, prompts, or checklists.
• Parameters to clarify first: input path, output path, scope filters, thresholds, and any domain-specific constraints.
• Output discipline: keep results reproducible, identify assumptions explicitly, and avoid undocumented side effects.

Validation Shortcut

Run this minimal command first to verify the supported execution path:

python scripts/validate_skill.py --help

Conference Tweet Generator

This skill processes academic conference abstracts to generate engaging tweets and summaries.

Workflow

1. Search Meeting Info: Use tavily_search to find background information about the conference (e.g., "ASCO 2025").
2. Filter Abstracts: Review the provided abstracts and filter those relevant to the specified topic.
3. Process Abstracts: For each selected abstract:
   • Extract key content (Background, Methods, Results, Conclusion).
   • Translate Drug Names: strictly use the dictionary in references/drug_dictionary.md.
   • Format the output as a structured summary.
4. Generate Titles: Create 3 high-impact tweet titles following the format "Year Conference | Content".
5. Generate Introduction: Write a brief meeting introduction based on the search results.

Requirements

• Drug Translation: You must refer to references/drug_dictionary.md for accurate drug name translations.
• No Fabrication: Do not invent meeting details; rely on search results.

When Not to Use

• Do not use this skill when the required source data, identifiers, files, or credentials are missing.
• Do not use this skill when the user asks for fabricated results, unsupported claims, or out-of-scope conclusions.
• Do not use this skill when a simpler direct answer is more appropriate than the documented workflow.