jicaiinc/golemancy/research-deep

Claude Code and agent skill by jicaiinc/golemancy

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Execute deep research on individual items from a research outline. Second phase of the two-phase deep research workflow.

Install

npx vskill@latest install jicaiinc/golemancy/research-deep

SKILL.md

Deep Research Execution

Execute deep research on individual items from a research outline, producing structured findings for each item.

Workflow

Step 1: Load Research Outline

Read the research outline produced in the first phase:

  • Items list with descriptions
  • Field definitions with detail levels
  • Execution configuration
Step 2: Resume Check

Check for previously completed research items. Skip already-completed items to support incremental research.

Step 3: Batch Execution

For each research item:

  1. Search the web for comprehensive information
  2. Fill in all defined fields from the outline
  3. Mark uncertain values with [uncertain] tag
  4. List all uncertain fields at the end
  5. Validate completeness against field definitions
Step 4: Monitor Progress

After each batch:

  • Report completion status
  • Surface any items requiring manual verification
  • Proceed to next batch with user approval
Step 5: Summary Report

After all items are researched:

  • Total completion count
  • Items with uncertain fields flagged
  • Key findings and patterns observed
  • Recommendations for follow-up

Research Quality Standards

  • Every factual claim must have a source URL
  • Distinguish between verified facts and inferences
  • Use multiple independent sources for critical data points
  • Record the date of information retrieval
  • Flag contradictory information from different sources

Output Format

For each research item, produce structured data containing:

  • All fields defined in the research outline
  • Source URLs for each data point
  • Confidence level (verified / likely / uncertain)
  • Date of last verification
  • Notes on conflicting information

Best Practices

  • Prioritize primary sources over aggregators
  • Cross-reference data across at least 2 sources
  • Note when information may be outdated
  • Include both quantitative and qualitative findings
  • Maintain consistent formatting across all items

Security

  • Security scanPassed, 95 of 100Pattern checks on the skill's files.
  • Model reviewPassed

Quality evaluation

  • Task evaluationNot runNo evaluation yet. Run one in Skill Studio.

Source

Popularity

Repository stars
73
Repository forks
18
7-day trend score
22

Stars and forks are for the whole GitHub repository, not this skill alone. Refreshed 13 Jun 2026, 4 months ago.

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