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- Huashu Research
huashu-research_skill
- Python
49
GitHub Stars
1
Bundled Files
2 months ago
Catalog Refreshed
4 months ago
First Indexed
Readme & install
Copy the install command, review bundled files from the catalogue, and read any extended description pulled from the listing source.
Installation
Preview and clipboard use veilstrat where the catalogue uses aiagentskills.
npx veilstrat add skill alchaincyf/huashu-skills --skill huashu-research- SKILL.md2.8 KB
Overview
This skill implements a structured web-research workflow that ensures findings are saved incrementally to files so work is never lost if a session is interrupted. It focuses on durable, auditable research notes and clear handoff to later writing tasks. Use this skill whenever the user asks to research, search for information, or get updates.
How this skill works
Before any web searches, the skill creates a dated research file with the research goal, key questions, and an empty discoveries section. After every search it appends findings, source URL, and date to the file and marks periodic stage summaries after each few searches. At the end it produces a structured brief with key facts, a source table, outstanding verification items, and writing suggestions.
When to use it
- Preparing background research for an article or report
- Checking recent product, technology, or release updates
- Gathering competitor or industry intelligence
- Any task requiring multiple web searches and persistent notes
- When you want research output saved immediately to disk
Best practices
- Always create the research file before the first search to avoid data loss
- Append each discovery with URL, date, and a short confidence label (high/medium/low)
- Add a stage summary after roughly every three searches to capture progress
- Keep research and draft writing separate — this skill collects evidence, not produce final drafts
- Move long-term, high-value findings into the knowledge base classification folder
Example use cases
- Early-stage research for a 1500-word article on a new AI model
- Monitoring competitor product pages and press releases over a week
- Collecting and verifying facts for a product announcement brief
- Compiling sources and evidence before triggering a topic-generation skill
- Creating a persistent evidence file to hand off to editors or co-authors
FAQ
Research notes are saved as Markdown files under _knowledge_base with names like research-<topic>-<YYYYMMDD>.md; long-term items move to categorized month files.
How often are stage summaries created?
A stage summary is saved after roughly every three search iterations, or earlier if a logical milestone is reached.
How should I rate source credibility?
Prefer primary/official sources first, then reputable media. Mark each source high/medium/low based on origin, date, and independence.