BI
bio-longread-alignment：Align long reads ，使用 minimap2 ，用于 Oxford Nanopore 、 PacBio data。 支持 various presets ，用于 different…
FreedomIntelligence/OpenClaw-Medical-Skills查看
文献综述
SE
search-strategy
维护者 FreedomIntelligence · 最近更新 2026年4月1日
search-strategy：Design systematic search strategies ，用于 scientific literature 、 databases。
原始来源
FreedomIntelligence/OpenClaw-Medical-Skills
https://github.com/FreedomIntelligence/OpenClaw-Medical-Skills/tree/main/skills/search-strategy
- 维护者
- FreedomIntelligence
- 许可
- MIT
- 最近更新
- 2026年4月1日
技能摘要
来自 SKILL.md 的关键信息
核心说明
- If you see unfamiliar placeholders 或 need to check which tools are connected，see CONNECTORS.md。
- core intelligence behind enterprise search. Transforms single natural language question into parallel，source-specific searches 、 produces ranked，deduplicated results。
- Into targeted searches across every connected source：。
- Then synthesize results into single coherent answer。
原始文档
SKILL.md 摘录
Step 1: Identify Query Type
Classify the user's question to determine search strategy:
| Query Type | Example | Strategy |
|---|---|---|
| Decision | "What did we decide about X?" | Prioritize conversations (~~chat, email), look for conclusion signals |
| Status | "What's the status of Project Y?" | Prioritize recent activity, task trackers, status updates |
| Document | "Where's the spec for Z?" | Prioritize Drive, wiki, shared docs |
| Person | "Who's working on X?" | Search task assignments, message authors, doc collaborators |
| Factual | "What's our policy on X?" | Prioritize wiki, official docs, then confirmatory conversations |
| Temporal | "When did X happen?" | Search with broad date range, look for timestamps |
| Exploratory | "What do we know about X?" | Broad search across all sources, synthesize |
Step 2: Extract Search Components
From the query, extract:
- Keywords: Core terms that must appear in results
- Entities: People, projects, teams, tools (use memory system if available)
- Intent signals: Decision words, status words, temporal markers
- Constraints: Time ranges, source hints, author filters
- Negations: Things to exclude
Step 3: Generate Sub-Queries Per Source
For each available source, create one or more targeted queries:
Prefer semantic search for:
- Conceptual questions ("What do we think about...")
- Questions where exact keywords are unknown
- Exploratory queries
Prefer keyword search for:
- Known terms, project names, acronyms
- Exact phrases the user quoted
- Filter-heavy queries (from:, in:, after:)
Generate multiple query variants when the topic might be referred to differently:
适用场景
- Use search-strategy ，用于 manuscript drafting 、 submission workflows。
- Apply search-strategy when polishing research communication outputs。
不适用场景
- Do not treat this catalog entry as substitute ，用于 full upstream workflow。
相关技能
相关技能
bio-machine-learning-atlas-mapping：映射 query cells to reference atlases ，支持 scANVI 或 Symphony。
FreedomIntelligence/OpenClaw-Medical-Skills查看
bio-methylation-bismark-alignment：Bisulfite sequencing read alignment ，使用 Bismark ，支持 bowtie2/hisat2。 Handles genome pre…
FreedomIntelligence/OpenClaw-Medical-Skills查看
bio-microbiome-taxonomy-assignment：Taxonomic 分类 of ASVs ，使用 reference databases like SILVA，GTDB，或 UNITE。 Covers naive Ba…
FreedomIntelligence/OpenClaw-Medical-Skills查看