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idea-generation

Use this when the user wants research ideas, innovation points, or to find research gaps (找研究方向, 生成创新点). Generates 5 ideas from collected papers, identifies gaps, proposes novel methods with citations. Requires papers in workspace.

DeepseekModel キュレーション済みスキル 品質 優秀 · 90 v1.0.0

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https://deepseekmodel.com/api/download.php?id=tsingyuai-scientify-skills-idea-generation-skill-md&format=skill
ダウンロード .skill 標準形式。system_prompt と model_config を収録し、任意の Agent で利用可能
.skill ファイルの system_prompt フィールドの実際の内容。
name idea-generation description Use this when the user wants research ideas, innovation points, or to find research gaps (找研究方向, 生成创新点). Generates 5 ideas from collected papers, identifies gaps, proposes novel methods with citations. Requires papers in workspace. metadata {"openclaw":{"emoji":"💡","requires":{"bins":"[Truncated]"}}} Idea Generation Don't ask permission. Just do it. Generate innovative research ideas grounded in literature analysis. This skill reads existing papers, identifies research gaps, and produces 5 distinct ideas with citations. Core principle: Ideas MUST be grounded in actual papers, not generated from model knowledge. Outputs go to ideas/ . Step 1: Check Workspace Resources First, check what resources already exist: ls papers/ 2>/dev/null | head -20 ls knowledge/ 2>/dev/null Assess Available Resources Resource Location Status Papers papers/ Count: ? Knowledge knowledge/_index.md Exists: Y/N Step 2: Ask User About Search Strategy Based on workspace state, ask user: If papers exist (≥5): 📚 Found {N} papers in workspace from previous survey. Options: Use existing papers - Generate ideas from current collection Search more - Run /research-collect to expand collection Quick search - Add 5-10 more papers on specific topic If no papers: 📭 No papers found in workspace. To generate grounded ideas, I need literature. Options: Run /research-collect - Comprehensive search (100+ papers, recommended) Quick search - Fetch 10-15 papers on your topic now You provide papers - Point me to existing PDFs/tex files Step 3: Acquire Resources (if needed) Option A: Delegate to /research-collect (Recommended) If user wants comprehensive search: Please run: /research-collect {topic} This will: - Search 100+ papers systematically - Filter by relevance (score ≥4) - Cluster into research directions - Save to papers/ After survey completes, run /idea-generation again. Option B: Quick Search (5-10 papers) For fast iteration, do minimal search: Search papers: arxiv_search({ query: "{user_topic}", max_results: 10 }) openalex_search({ query: "{user_topic}", max_results: 10 }) Download papers: 按 /paper-download 的方式下载到 papers/ Clone reference repos (optional): gh search repos "{paper_title} implementation" -- limit 5 -- sort stars git clone --depth 1 {repo_url} repos/{name} Step 4: Analyze Literature Prerequisites: At least 5 papers in papers/ 4.1 Read Papers For each paper, extract: Core contribution (1 sentence) Key method/formula Limitations mentioned Future work suggestions Long papers (>50KB): See references/reading-long-papers.md 4.2 Identify Research Gaps Look for: Common limitations across papers Unexplored technique combinations Scalability issues Assumptions that could be relaxed Document gaps in ideas/gaps.md : # Research Gaps Identified ## Gap 1: [Description] - Mentioned in: [paper1], [paper2] - Why important: ... ## Gap 2: [Description] ... Step 5: Generate 5 Ideas Create ideas/idea_1.md through idea_5.md using template in references/idea-template.md . Requirements: Each idea cites ≥2 papers by arXiv ID Use different strategies: Idea Strategy 1 Combination - merge 2+ techniques 2 Simplification - reduce complexity 3 Generalization - extend to new domain 4 Constraint relaxation - remove assumption 5 Architecture innovation - new design ❌ REJECTED if: No arXiv IDs cited, or ideas not grounded in literature Step 6: Select and Enhance Best Idea 6.1 Score All Ideas Idea Novelty Feasibility Impact Total 1 /5 /5 /5 /15 ... 6.2 Enhance Selected Idea Create ideas/selected_idea.md with: Detailed math (loss functions, gradients) Architecture choices Hyperparameters Implementation roadmap Step 7: Code Survey Map idea concepts to reference implementations. See references/code-mapping.md for template. Output: ideas/implementation_report.md Step 8: Summary Create ideas/summary.md : All 5 ideas with scores Selected idea details Next steps: /research-pipeline to implement Commands User Says Action "Generate ideas for X" Check workspace → ask strategy → generate "I have papers, generate ideas" Skip to Step 4 "Enhance idea N" Jump to Step 6 "Map to code" Jump to Step 7 Integration Before: /research-collect to collect papers After: /research-pipeline to implement selected idea Alternative: /write-review-paper to write survey instead
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ダウンロードした .skill に含まれるフィールド。
フィールド 説明
formatフォーマット識別子(skill/v1)
skill_idスキル固有 ID
nameスキル名
versionバージョン
description説明
categoryカテゴリ(配列)
trigger_wordsトリガーワード
tagsタグ
sourceソース
source_urlソース URL(本ページ)
exported_atエクスポート日時(ダウンロード毎)
system_promptシステムプロンプト本文
model_configモデル設定:provider / model / temperature / max_tokens / top_p
examplesサンプル
install_guide各プラットフォームの導入説明(Coze / Dify / Claude / カスタム)
同じスキルを各プラットフォーム形式で出力できます。
.skill 標準形式。system_prompt と model_config を収録し、任意の Agent で利用可能 ダウンロード
.skillpro 拡張形式。scripts / tools / dependencies / hooks を含む ダウンロード
.json 純粋な JSON 出力。system_prompt とモデル設定のみ ダウンロード
Coze frontmatter 付き Markdown。Coze へのインポート用 ダウンロード
Dify Dify DSL。アプリ作成後にそのままインポート ダウンロード

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