Deep Intel Skill
What This Skill Does
Runs a complete multi-layer research mission on any topic and delivers a
strategic intelligence brief tailored to YOUR situation. Not a generic
research tool. Reads USER.md and MEMORY.md first so every finding is
filtered through your goals, constraints, and context before delivery.
Before Starting
Ask the user:
- What is the topic to research?
- What is the goal? (understand, find opportunity, build, compete, invest)
- Any specific angle to prioritize?
Research Process
Phase 0 — Load User Context
Read MEMORY.md and USER.md before any search.
Extract goals, constraints, location, stack, budget, active projects.
Filter every finding through this context throughout.
Phase 1 — Topic Decomposition
Identify ALL research angles automatically:
- Core ecosystem: names, websites, repos, people
- Technical architecture and how it was built
- Community projects and user-made tools
- Strategies and use cases with real numbers only
- Hidden features and undocumented capabilities
- Security risks and known failures
- Real people with similar constraints and what they achieved
- All free tools and APIs relevant to this topic
- Every competing platform or alternative
- Market gaps nobody has filled yet
Phase 2 — Parallel Search Execution
Run a separate search for EACH angle identified above.
Rules:
- Minimum 8 searches per topic
- Use web_fetch on top 2-3 results per search — full page not snippet
- Cross-reference findings across angles
- Flag contradictions between sources
- Prioritize primary sources over aggregators
- Include current date in queries for fast-moving topics
Phase 3 — Context Filtering
Before writing the report, filter ALL findings through user context:
- Remove anything not relevant to their goals
- Flag anything conflicting with their constraints
- Elevate findings that directly address their situation
- Note anything requiring resources the user does not have
Phase 4 — Intelligence Brief Structure
Deliver in this exact order:
- ECOSYSTEM MAP — all players, names, repos, websites
- HOW IT WORKS — technical architecture, co-founder level depth
- WHAT PEOPLE ARE DOING — real strategies with real numbers
- WHAT PEOPLE ARE MISSING — underused tools and hidden features
- PEOPLE LIKE YOU — cases matching user constraints exactly
- FREE TOOLS AVAILABLE — complete zero-cost stack for this topic
- RISKS AND FAILURES — what went wrong for others
- MARKET GAPS — what nobody has built yet
- YOUR STRATEGIC OPPORTUNITY — 3 specific actions for THIS user
Best Practices
- Always read USER.md and MEMORY.md FIRST before any search
- Fetch full pages not just search snippets
- Run minimum 8-12 separate searches per topic
- Cross-reference findings across multiple sources
- Section 9 YOUR STRATEGIC OPPORTUNITY is mandatory — never skip it
- Use real numbers only: stars, users, dollars, dates — no vague claims
- Flag when a finding contradicts another finding
- Note which findings require resources the user does not have
Common Pitfalls
| Pitfall |
Fix |
| Stopping after 2-3 searches |
Run minimum 8 separate angle searches |
| Using snippets only |
Always web_fetch full pages for top results |
| Generic output ignoring user context |
Read USER.md first, filter everything |
| Missing the opportunity section |
Section 9 is mandatory, never skip |
| Aggregator sources only |
Always find and fetch primary sources |
| No cross-referencing |
Explicitly compare findings across angles |
Trigger Phrases
- Deep research [topic]
- Full intel on [topic]
- Research everything about [topic] for my situation
- Go deep on [topic]
- Understand [topic] from every angle
- Complete investigation of [topic]
Related Skills
- openclaw-setup-expert — set up the agent that runs this skill
- agent-income-expert — monetize findings from deep-intel research
- free-stack-builder — build the zero-cost infrastructure to run it
- dev-memory — persistent developer context across sessions
1---2name: deep-intel3description: Context-aware exhaustive research. Reads USER.md and MEMORY.md first, decomposes topic into 8+ research angles, fetches full pages, cross-references findings, delivers strategic brief filtered through your goals and constraints.4---56# Deep Intel Skill78## What This Skill Does910Runs a complete multi-layer research mission on any topic and delivers a11strategic intelligence brief tailored to YOUR situation. Not a generic12research tool. Reads USER.md and MEMORY.md first so every finding is13filtered through your goals, constraints, and context before delivery.1415## Before Starting1617Ask the user:181. What is the topic to research?192. What is the goal? (understand, find opportunity, build, compete, invest)203. Any specific angle to prioritize?2122## Research Process2324### Phase 0 — Load User Context25Read MEMORY.md and USER.md before any search.26Extract goals, constraints, location, stack, budget, active projects.27Filter every finding through this context throughout.2829### Phase 1 — Topic Decomposition30Identify ALL research angles automatically:31- Core ecosystem: names, websites, repos, people32- Technical architecture and how it was built33- Community projects and user-made tools34- Strategies and use cases with real numbers only35- Hidden features and undocumented capabilities36- Security risks and known failures37- Real people with similar constraints and what they achieved38- All free tools and APIs relevant to this topic39- Every competing platform or alternative40- Market gaps nobody has filled yet4142### Phase 2 — Parallel Search Execution43Run a separate search for EACH angle identified above.44Rules:45- Minimum 8 searches per topic46- Use web_fetch on top 2-3 results per search — full page not snippet47- Cross-reference findings across angles48- Flag contradictions between sources49- Prioritize primary sources over aggregators50- Include current date in queries for fast-moving topics5152### Phase 3 — Context Filtering53Before writing the report, filter ALL findings through user context:54- Remove anything not relevant to their goals55- Flag anything conflicting with their constraints56- Elevate findings that directly address their situation57- Note anything requiring resources the user does not have5859### Phase 4 — Intelligence Brief Structure60Deliver in this exact order:611. ECOSYSTEM MAP — all players, names, repos, websites622. HOW IT WORKS — technical architecture, co-founder level depth633. WHAT PEOPLE ARE DOING — real strategies with real numbers644. WHAT PEOPLE ARE MISSING — underused tools and hidden features655. PEOPLE LIKE YOU — cases matching user constraints exactly666. FREE TOOLS AVAILABLE — complete zero-cost stack for this topic677. RISKS AND FAILURES — what went wrong for others688. MARKET GAPS — what nobody has built yet699. YOUR STRATEGIC OPPORTUNITY — 3 specific actions for THIS user7071## Best Practices7273- Always read USER.md and MEMORY.md FIRST before any search74- Fetch full pages not just search snippets75- Run minimum 8-12 separate searches per topic76- Cross-reference findings across multiple sources77- Section 9 YOUR STRATEGIC OPPORTUNITY is mandatory — never skip it78- Use real numbers only: stars, users, dollars, dates — no vague claims79- Flag when a finding contradicts another finding80- Note which findings require resources the user does not have8182## Common Pitfalls8384| Pitfall | Fix |85|---|---|86| Stopping after 2-3 searches | Run minimum 8 separate angle searches |87| Using snippets only | Always web_fetch full pages for top results |88| Generic output ignoring user context | Read USER.md first, filter everything |89| Missing the opportunity section | Section 9 is mandatory, never skip |90| Aggregator sources only | Always find and fetch primary sources |91| No cross-referencing | Explicitly compare findings across angles |9293## Trigger Phrases9495- Deep research [topic]96- Full intel on [topic]97- Research everything about [topic] for my situation98- Go deep on [topic]99- Understand [topic] from every angle100- Complete investigation of [topic]101102## Related Skills103104- openclaw-setup-expert — set up the agent that runs this skill105- agent-income-expert — monetize findings from deep-intel research106- free-stack-builder — build the zero-cost infrastructure to run it107- dev-memory — persistent developer context across sessions