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Blog Research Skill

blog-research

Research legal technology topics for blog posts on alt-counsel (Ang Hou Fu's blog). Use when the user asks to research topics, find sources, fact-check claims, gather statistics, or find expert opinions for blog content. Prioritizes Singapore/ASEAN perspectives and flags US/EU-centric information...

SKILL.md

Full skill instructions

Blog Research Skill

Research legal technology topics for alt-counsel blog posts with Singapore/​ASEAN prioritization and jurisdictional awareness.

When to Use This Skill

Trigger this skill when the user requests:

  • "Research [topic] for my blog post"
  • "Find sources on [legal tech topic]"
  • "Fact-check: [claim]"
  • "Get statistics on [topic]"
  • "Find expert opinions on [subject]"
  • Any research task related to blog content creation

Research Workflow

Step 0: Verify Research Readiness

Before beginning research, confirm the post has:

Required inputs:

  • Locked thesis - One-sentence argument the post will make
  • Section outline - 3-5 main sections with their specific claims
  • Evidence gaps - Specific claims that need external validation

Stop and ask user if missing:

  • "I see you want research on [topic], but I don't have your post outline yet."
  • "Which specific claims in your post need evidence?"
  • "What are you trying to prove with this research?"

Why this matters: Research without structure leads to gathering interesting information that doesn't make the final cut. Lock the argument first, research second.

Step 1: Understand the Research Need

Critical question: What needs external validation vs what's personal experience?

Ask user to categorize each post section:

  • Personal experience (✍️) - No research needed, this is your story
  • Needs validation (🔍) - Your claim needs external support
  • Needs context (🌍) - Your experience needs broader context

Example:

  • Section 2: "My 3-page prompt experience" = ✍️ (don't research this)
  • Section 3: "Agents changed in Sept 2025" = 🔍 (needs validation)
  • Section 4: "Singapore firms struggling too" = 🌍 (needs regional context)

Only research the 🔍 and 🌍 sections.

If the post folder is ambiguous, ask the user to specify (e.g., posts/​contract-automation-tools/).

Step 2: Read Reference Files

Before conducting research, read:

  1. references/​trusted-sources.md - Know which sources to prioritize
  2. references/​regional-considerations.md - Understand Singapore/​ASEAN vs US/​EU differences

These files provide critical context for effective research.

Step 2.5: Generate Research Brief for Approval

Before conducting searches, output a research brief:

# Research Brief: [Post Title]

**Locked thesis:** [One sentence]

**Evidence needed:**
1. Section X: [Specific claim] 
   - Searching for: [What evidence would support this]
   - Stop criteria: [When I have enough]
   
2. Section Y: [Specific claim]
   - Searching for: [Evidence needed]
   - Stop criteria: [When sufficient]

**Not researching:**
- Section Z: Personal experience (no validation needed)

**Estimated searches:** [Number based on sections]
**Stop when:** All sections adequately supported OR regional sources exhausted

Ask user: "Does this match what you need? Or should I adjust before starting searches?"


This creates the checkpoint you're currently missing.

## Integration with Your Workflow

Based on your process patterns, here's how the improved skill would work:

### Current Problem (AI Tools Post):

Session 1: Broad research on MCP, CLI patterns, everything Session 2: More research on security, failures, Singapore (exploratory) Session 6: Cut 2/​3 of research as redundant/​not fitting

= 3 sessions, high waste


### With Improved Skill:

Session 1:

  • User: "I want to research for AI tools post"
  • Skill: "What's your locked outline? Which sections need evidence?"
  • User: Provides 3 sections that need validation
  • Skill: Generates research brief targeting those 3 specific claims
  • User: Approves brief
  • Skill: Executes focused research (6-9 searches, not 20+)
  • Output: Evidence mapped directly to 3 sections

= 1 session, minimal waste

Step 3: Conduct Research

Use web_search following this priority order:

Search Strategy:

  1. Singapore/​ASEAN-first search - Add "Singapore" or "ASEAN" qualifiers to queries
  2. Evaluate regional results - Check if findings are regionally relevant
  3. Expand to global sources - If regional sources insufficient, search without geographic qualifiers
  4. Flag jurisdictional concerns - Note when findings are US/​EU-centric

Search Tactics:

  • Start with 3-5 searches minimum (regional → global)
  • Use web_fetch to read full articles from promising results
  • Extract specific data points, quotes, and citations
  • Cross-reference information across multiple sources

Search Depth (Evidence-Driven):

  • Per section claim: 2-3 searches minimum

    • Stop when: Claim is supported by 2+ credible sources OR you've exhausted regional sources
  • Total research session: Based on outline

    • 3 sections with specific claims = 6-9 searches
    • Stop when: All sections have adequate evidence OR regional sources exhausted

Red flag: If doing 10+ searches and outline still has evidence gaps, the problem is likely the outline (claims too broad/​unsupported), not insufficient research.

Step 4: Evaluate Sources

Apply source evaluation criteria from references/​trusted-sources.md:

  1. Recency - Prefer sources from last 6-24 months for trends/​pricing
  2. Regional relevance - Singapore/​ASEAN > Global > US/​EU-specific
  3. Credibility - Established publications > vendor blogs
  4. Specificity - Actual data/​examples > general claims
  5. Independence - Journalism > vendor marketing

Step 5: Apply Regional Lens

For EVERY finding, assess:

  • Is this Singapore/​ASEAN-relevant?
  • Is this US/​EU-centric? If so, what differs locally?
  • What's the alt-counsel angle (resource-constrained perspective)?

Flag jurisdictional concerns using the protocol from references/​regional-considerations.md.

Step 6: Map Findings to Post Structure

For EACH section in the user's outline, identify:

  • Section X claim: [The specific point this section makes]
  • Evidence needed: [What this claim requires for support]
  • Findings that support: [Which research findings apply here]
  • Findings that don't fit: [Interesting but not relevant to this section]

Red flag if: You have 5+ findings that don't map to any section. Action: Ask user: "I found [X], but it doesn't support your outlined sections. Should I continue researching or is this exploratory?"

Quality check: Every finding should answer "Which section needs this?"

Step 7: Format Research Output

Load assets/​research-template.md and populate it with findings:

Required sections:

  • Summary - 2-3 sentence executive summary
  • Key Findings - Detailed findings with sources and regional context icons
  • Statistics & Data Points - Specific data with citations
  • Expert Quotes - Direct quotes from credible sources
  • Jurisdictional Flags - US/​EU-centric content flagged with explanations
  • Alt-Counsel Angle - How findings relate to blog's resource-conscious mission
  • Additional Sources - Links for follow-up research

Citation format:

  • Source: Article Title - [Publication]
  • Date: [Publication date]
  • Regional Context: ✅ Singapore/​ASEAN | ⚠️ US/​EU-centric | 🌍 Global

Step 8: Save Research Output

Create research.md in the specified post folder:

  • Path format: posts/[post-folder-name]/​research.md
  • Always confirm the post folder path with the user if ambiguous

Regional Prioritization Rules

Always prioritize:

  1. Straits Times, Channel News Asia for Singapore news
  2. Artificial Lawyer for global legal tech (but flag when US/​EU-centric)
  3. Singapore government sources (Courts, Legal Service, IMDA)
  4. ASEAN business and legal publications

Always flag when:

  • Information is US/​EU-specific (ethics rules, regulations, market dynamics)
  • Pricing assumes enterprise budgets
  • Solutions require infrastructure uncommon in ASEAN
  • No Singapore/​ASEAN-specific information available

Quality Standards

Good research includes:

  • Minimum 5-8 quality sources cited
  • Mix of regional and global perspectives
  • Specific statistics with dates
  • Expert quotes from credible sources
  • Clear jurisdictional flags where relevant
  • Alt-counsel angle articulated

Bad research avoids:

  • Vendor marketing without independent validation
  • Outdated sources (>2 years old for trends)
  • Pure US content without regional context
  • Vague claims without specific examples
  • Missing citations or broken links

Example Research Queries

Fact-check query:

"Fact-check: Contract lifecycle management systems typically cost $50K+ for enterprises"

Workflow: Search for CLM pricing, gather data points from multiple sources, note regional pricing if available, flag if US-centric pricing, provide alt-counsel perspective on accessible alternatives.

Topic research query:

"Research AI document review tools for small legal teams"

Workflow: Search for AI document review tools, prioritize solutions for small teams, compare pricing tiers, find Singapore/​ASEAN adoption examples, flag enterprise-only solutions, identify practical alternatives.

Statistics query:

"Get statistics on legal tech adoption in Singapore law firms"

Workflow: Search Singapore-specific legal tech adoption data, check Law Society publications, look for regional surveys, note data gaps, compare to global trends where relevant.

Bundled Resources

References

  • trusted-sources.md - Curated list of reliable legal tech sources
  • regional-considerations.md - Singapore/​ASEAN vs US/​EU differences guide

Assets

  • research-template.md - Standard format for research.md output

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