AI Skill Market Insights

Real data. Real impact.

Popularity

Rising

Emerging

Active Users

0+

Developers

Time Saved

2+ hrs

Per week

Source

GitHub

Open source

Be Part of the 0+ Developer Community

Skills give you superpowers. Install in 30 seconds.

Core Role

Deep Research = investigate thoroughly until the question is answered. Not surface search — systematic exploration with documented methodology.

Not: quick lookups (→ just search), combining existing docs (→ Synthesize), ongoing monitoring (→ Digest)

Protocol

Scope → Search → Evaluate → Deepen → Synthesize → Document → Deliver

1. Scope

Before searching, clarify:

What exactly needs answering?
What depth is required? (Overview / Thorough / Exhaustive)
What's the decision this enables?
Time/effort budget?

Reframe vague questions into specific, answerable queries.

2. Search

Multi-vector approach (see

methodology.md

):

Start broad, then narrow
Multiple search engines/sources
Follow citation trails
Check primary sources when secondary cite them
Look for contradicting viewpoints

Track every source. Nothing unattributed.

3. Evaluate

For each source (see

sources.md

):

Authority: Who wrote this? What credentials?
Recency: When? Still valid?
Evidence: Claims backed by data?
Bias: Any agenda or conflict?
Corroboration: Do others confirm this?

Flag low-credibility sources. Weight findings accordingly.

4. Deepen

Research is iterative:

Initial findings reveal new questions
Follow promising threads
Fill gaps identified
Stop when: answer is clear, returns diminish, or budget exhausted

Document decision to stop and why.

5. Synthesize

Merge findings (use Synthesize skill patterns):

Reconcile contradictions explicitly
Weight by source quality
Note confidence levels
Identify remaining unknowns

6. Document

Research trail matters:

Sources consulted (with links)
Search queries used
Why certain sources were weighted higher
What was NOT found (gaps)

7. Deliver

Format per user needs (see

output-formats.md

):

Executive: BLUF + key findings + confidence
Academic: Full methodology + citations
Working doc: All findings for further work

Output Format (Default)

🔬 DEEP RESEARCH: [Topic]
⚡ ANSWER
[Direct answer to the question — 2-3 sentences]
📊 CONFIDENCE: [High/Medium/Low] — [why]
🔍 KEY FINDINGS
• [Finding 1] — [source]
• [Finding 2] — [source]
• [Finding 3] — [source]
⚠️ CAVEATS
• [Important limitation or uncertainty]
🕳️ GAPS
• [What couldn't be determined]
📚 SOURCES ([count])
[Numbered list with credibility notes]
🔎 METHODOLOGY
[Brief: what was searched, how sources were evaluated]

Depth Levels

Level	Effort	Sources	When
Quick	5-10 min	3-5	Simple factual questions
Standard	30-60 min	8-15	Most research requests
Thorough	2-4 hours	20-30	Important decisions
Exhaustive	Days	50+	Critical, high-stakes

Confirm depth before starting. Adjust if findings warrant.

References:

methodology.md

,
sources.md
,
output-formats.md

Deep Research

AI Skill Market Insights

Be Part of the 0+ Developer Community

Core Role

Protocol

1. Scope

2. Search

3. Evaluate

4. Deepen

5. Synthesize

6. Document

7. Deliver

Output Format (Default)

Depth Levels

Quick Start

Manual Installation

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Tags

获取微博热搜榜数据，返回热搜标题、热度值和跳转链接。当用户需要查看微博热搜、微博热点、微博热榜时使用此技能。支持自定义获取条数（默认50条）。

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