/============================================================================/ /* GENERAL-RESEARCH-WORKFLOW SKILL :: VERILINGUA x VERIX EDITION / /============================================================================*/

name: general-research-workflow version: 3.0 description: | [assert|neutral] Systematic 6-phase research methodology for history, mythology, and literature implementing Red's (OSP) evidence-based approach. Use when researching topics outside academic ML scope that require prim [ground:given] [conf:0.95] [state:confirmed] category: research tags:

• general author: system cognitive_frame: primary: evidential goal_analysis: first_order: "Execute general-research-workflow workflow" second_order: "Ensure quality and consistency" third_order: "Enable systematic research processes"

/----------------------------------------------------------------------------/ /* S0 META-IDENTITY / /----------------------------------------------------------------------------*/

[define|neutral] SKILL := { name: "general-research-workflow", category: "research", version: "3.0", layer: L1 } [ground:given] [conf:1.0] [state:confirmed]

/----------------------------------------------------------------------------/ /* S1 COGNITIVE FRAME / /----------------------------------------------------------------------------*/

[define|neutral] COGNITIVE_FRAME := { frame: "Evidential", source: "Turkish", force: "How do you know?" } [ground:cognitive-science] [conf:0.92] [state:confirmed]

Kanitsal Cerceve (Evidential Frame Activation)

Kaynak dogrulama modu etkin.

/----------------------------------------------------------------------------/ /* S2 TRIGGER CONDITIONS / /----------------------------------------------------------------------------*/

[define|neutral] TRIGGER_POSITIVE := { keywords: ["general-research-workflow", "research", "workflow"], context: "user needs general-research-workflow capability" } [ground:given] [conf:1.0] [state:confirmed]

/----------------------------------------------------------------------------/ /* S3 CORE CONTENT / /----------------------------------------------------------------------------*/

General Research Workflow

Kanitsal Cerceve (Evidential Frame Activation)

Kaynak dogrulama modu etkin.

Purpose

Execute systematic general-purpose research across history, mythology, literature, and non-ML domains using Red's (OSP) 6-phase evidence-based methodology with rigorous source evaluation and synthesis.

When to Use This Skill

Use this skill when:

• ✅ Researching historical events, mythological topics, or literary analysis
• ✅ Need to evaluate primary vs secondary sources
• ✅ Building evidence-based arguments with citations
• ✅ Topic requires source credibility analysis
• ✅ Have 6+ hours for thorough research

Do NOT use for:

• ❌ Academic ML research (use literature-synthesis instead)
• ❌ Quick fact-checking (<30 min)
• ❌ Literature reviews for academic papers (use deep-research-orchestrator)

Decision Tree: See references/decision-tree.md

Quick Reference

Agent Coordination Protocol

Sequential Execution

Each step passes deliverables to the next step. Do NOT proceed if Quality Gate fails.

Agent Roles

• researcher: Discovery, analysis, note-taking (Steps 0, 1, 2, 4, 5, Phase A-B of Step 6)
• analyst: Validation, classification, quality checks (Step 3, Phase C of Step 6)
• coordinator: Synthesis orchestration (Phase D of Step 6)

Memory MCP Tags

ALL stored data must include: WHO=[agent], WHEN=[timestamp], PROJECT=[research-topic], WHY=[intent]

Glossary

See references/glossary.md for complete definitions:

• Primary Source: Original documents/eyewitness accounts from the time period
• Secondary Source: Analysis/interpretation created after the events
• Credibility Score (1-5): Reliability based on expertise, venue, citations
• Bias Risk Score (1-5): Likelihood of systematic distortion
• WorldCat: worldcat.org - Global library catalog
• Google Scholar: scholar.google.com - Academic publication search

Step-by-Step Workflow

STEP 0: Pre-Flight Check (Gate 0)

Agent: researcher Goal: Verify Wikipedia article exists OR establish fallback plan

Procedure:

1. Search Wikipedia for research topic
2. IF article exists: ✅ Proceed to Step 1
3. IF NO article:
   • Try related/broader topics, alternative spellings
   • FALLBACK: Start with Google Scholar search instead
   • Extract ≥10 citations from Scholar results
   • Document: "No Wikipedia article, started with Google Scholar"
4. Check language accessibility:
   • Flag non-English sources for translation assessment
   • Document language limitation if proceeding without translations

Deliverable: Confirmation of viable starting point

Quality Gate 0: STOP if no viable sources. Escalate to user for topic clarification.

STEP 1: Wikipedia Mining

Agent: researcher Goal: Extract reference trail from Wikipedia

Procedure:

1. Read Wikipedia article for overview
2. Navigate to "References" section
3. Extract ALL citations with metadata:
   • ✅ Author(s) [REQUIRED]
   • ✅ Title [REQUIRED]
   • ✅ Year [REQUIRED]
   • ⚠️ ISBN/DOI [OPTIONAL]
4. Extract "Further Read

/----------------------------------------------------------------------------/ /* S4 SUCCESS CRITERIA / /----------------------------------------------------------------------------*/

[define|neutral] SUCCESS_CRITERIA := { primary: "Skill execution completes successfully", quality: "Output meets quality thresholds", verification: "Results validated against requirements" } [ground:given] [conf:1.0] [state:confirmed]

/----------------------------------------------------------------------------/ /* S5 MCP INTEGRATION / /----------------------------------------------------------------------------*/

[define|neutral] MCP_INTEGRATION := { memory_mcp: "Store execution results and patterns", tools: ["mcp__memory-mcp__memory_store", "mcp__memory-mcp__vector_search"] } [ground:witnessed:mcp-config] [conf:0.95] [state:confirmed]

/----------------------------------------------------------------------------/ /* S6 MEMORY NAMESPACE / /----------------------------------------------------------------------------*/

[define|neutral] MEMORY_NAMESPACE := { pattern: "skills/research/general-research-workflow/{project}/{timestamp}", store: ["executions", "decisions", "patterns"], retrieve: ["similar_tasks", "proven_patterns"] } [ground:system-policy] [conf:1.0] [state:confirmed]

[define|neutral] MEMORY_TAGGING := { WHO: "general-research-workflow-{session_id}", WHEN: "ISO8601_timestamp", PROJECT: "{project_name}", WHY: "skill-execution" } [ground:system-policy] [conf:1.0] [state:confirmed]

/----------------------------------------------------------------------------/ /* S7 SKILL COMPLETION VERIFICATION / /----------------------------------------------------------------------------*/

[direct|emphatic] COMPLETION_CHECKLIST := { agent_spawning: "Spawn agents via Task()", registry_validation: "Use registry agents only", todowrite_called: "Track progress with TodoWrite", work_delegation: "Delegate to specialized agents" } [ground:system-policy] [conf:1.0] [state:confirmed]

/----------------------------------------------------------------------------/ /* S8 ABSOLUTE RULES / /----------------------------------------------------------------------------*/

[direct|emphatic] RULE_NO_UNICODE := forall(output): NOT(unicode_outside_ascii) [ground:windows-compatibility] [conf:1.0] [state:confirmed]

[direct|emphatic] RULE_EVIDENCE := forall(claim): has(ground) AND has(confidence) [ground:verix-spec] [conf:1.0] [state:confirmed]

[direct|emphatic] RULE_REGISTRY := forall(agent): agent IN AGENT_REGISTRY [ground:system-policy] [conf:1.0] [state:confirmed]

/----------------------------------------------------------------------------/ /* PROMISE / /----------------------------------------------------------------------------*/

[commit|confident] GENERAL_RESEARCH_WORKFLOW_VERILINGUA_VERIX_COMPLIANT [ground:self-validation] [conf:0.99] [state:confirmed]