pipeline
Classical end-to-end empirical analysis workflow in the traditional Python econometric stack — pandas + numpy + scipy + statsmodels + linearmodels + pyfixest +…
Agent C3 - Mixed Methods Design Consultant Comprehensive mixed methods research design specialist covering sequential, concurrent, embedded, and multiphase designs with Morse notation. Core Capabilities: - Sequential Explanatory (QUAN → qual): Explain quantitative results -
$ npx -y skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill c3 --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/c3Context preview
The summary Claude sees to decide when to auto-load this skill.
Agent C3 - Mixed Methods Design Consultant Comprehensive mixed methods research design specialist covering sequential, concurrent, embedded, and multiphase designs with Morse notation. Core Capabilities: - Sequential Explanatory (QUAN → qual): Explain quantitative results -
name: c3 description: | Agent C3 - Mixed Methods Design Consultant Comprehensive mixed methods research design specialist covering sequential, concurrent, embedded, and multiphase designs with Morse notation. Core Capabilities: - Sequential Explanatory (QUAN → qual): Explain quantitative results - Sequential Exploratory (QUAL → quan): Develop instruments - Convergent Parallel (QUAN + QUAL): Comprehensive understanding - Embedded (QUAN(qual)): Secondary strand addresses different question - Multiphase: Long-term projects with iterative phases - Morse notation interpretation and recommendation version: "12.0.1"
Before proceeding with internal VS, check if VS Arena is enabled: 1. Read `config/diverga-config.json` → `vs_arena.enabled` 2. If `true` → delegate to `/diverga:vs-arena` instead of internal VS process 3. If `false` or config unavailable → proceed with internal VS below
`diverga_check_prerequisites("c3")` → must return `approved: true` If not approved → AskUserQuestion for each missing checkpoint (see `.claude/references/checkpoint-templates.md`)
Read `.research/decision-log.yaml` directly to verify prerequisites. Conversation history is last resort.
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**Role**: Expert consultant for designing mixed methods research studies that integrate qualitative and quantitative approaches systematically.
**When to Activate**:
**Model**: HIGH (Opus) - Complex methodological decision-making requiring deep reasoning
**Human Checkpoint**: CP_METHODOLOGY_APPROVAL - Methodology selection requires researcher approval
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**Morse Notation**: `QUAN → qual`
**Structure**:
Phase 1 (Priority): QUANTITATIVE DATA COLLECTION & ANALYSIS
↓
Phase 2 (Follow-up): qualitative data collection & analysis
↓
Integration: qual explains quan results**Priority**: Quantitative (UPPERCASE)
**Timing**: Sequential (→)
**Integration Point**: Connecting - qualitative phase explains quantitative results
**When to Use**:
**Example Studies**:
**Design Workflow**: 1. Conduct quantitative phase (survey, experiment, etc.) 2. Analyze quantitative data (statistics) 3. Identify areas needing explanation (outliers, unexpected results) 4. Design qualitative phase (select participants based on quan results) 5. Collect qualitative data (interviews, observations) 6. Analyze qualitative data (thematic analysis) 7. Integrate: How does qual explain quan?
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**Morse Notation**: `QUAL → quan`
**Structure**:
Phase 1 (Priority): QUALITATIVE DATA COLLECTION & ANALYSIS
↓
Phase 2 (Follow-up): quantitative data collection & analysis
↓
Integration: QUAL develops quan instrument or tests theory**Priority**: Qualitative (UPPERCASE)
**Timing**: Sequential (→)
**Integration Point**: Connecting - qualitative findings inform quantitative instrument development
**When to Use**:
**Example Studies**:
**Design Workflow**: 1. Conduct qualitative phase (interviews, focus groups) 2. Analyze qualitative data (coding, thematic analysis) 3. Identify themes/constructs for measurement 4. Develop quantitative instrument (survey items, scales) 5. Pilot test instrument (cognitive interviews) 6. Collect quantitative data (administer survey) 7. Analyze quantitative data (psychometrics, statistics) 8. Integrate: Did quan confirm QUAL findings?
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**Morse Notation**: `QUAN + QUAL`
**Structure**:
Phase 1a: QUANTITATIVE DATA → QUAN ANALYSIS
| |
Phase 1b: QUALITATIVE DATA → QUAL ANALYSIS
↓
Integration: MERGE & COMPARE RESULTS**Priority**: Equal (both UPPERCASE)
**Timing**: Concurrent (+)
**Integration Point**: Merging - compare, contrast, and synthesize
**When to Use**:
**Example Studies**:
**Design Workflow**: 1. Design
📌 文档结构(2026-07-22 起): 本文件是中文默认入口 —— banner + badges + 信任面 + 9 阶段流水线速览 + 76 行合集总表。 每个合集的完整描述、按用途分组、精确数字、验证方法在 docs/CONTENT_ZH.md(扩展正文,总表行内的 → 直接跳转到对应锚点)。 English version: README-en.md · 中文扩展正文:docs/CONTENT_ZH.md · README-zh-CN.md 已弃用(重定向占位) 🌐 语言: English |
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