🎯

qualitative-research

🎯Skill

from poemswe/co-researcher

VibeIndex|
What it does

Assists researchers in designing, conducting, and analyzing qualitative research methodologies by providing structured guidance, coding techniques, and interpretive frameworks for in-depth data exp...

πŸ“¦

Part of

poemswe/co-researcher(22 items)

qualitative-research

Installation

PythonRun Python server
python run_eval.py all -j 4 --model "codex:gpt-5.2 high"
πŸ“– Extracted from docs: poemswe/co-researcher
2Installs
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AddedFeb 4, 2026

Skill Details

SKILL.md

Overview

# Co-Researcher (v2.0.0)

A professional research suite for conducting rigorous academic research using specialized agents and multi-platform CLI commands. Compatible with Claude Code, Gemini CLI, OpenAI Codex, and OpenCode.

Installation

Claude Code

Option 1: From Marketplace (Recommended)

```bash

claude plugins install poemswe/co-researcher

```

Option 2: From Local Directory

```bash

cd /path/to/co-researcher

claude plugins link .

```

Gemini CLI

Option 1: From GitHub

```bash

gemini extension install https://github.com/poemswe/co-researcher

```

Option 2: From Local Directory

```bash

cd /path/to/co-researcher

gemini extension link .

```

Codex

Option 1: Ask Codex (Agentic)

Tell Codex:

```text

Fetch and follow instructions from https://raw.githubusercontent.com/poemswe/co-researcher/main/.codex/INSTALL.md

```

Option 2: Manual Setup

```bash

# 1. Clone this repo to ~/.codex/skills/co-researcher

# 2. Add hook to ~/.codex/AGENTS.md

# 3. Run:

~/.codex/skills/co-researcher/.codex/co-researcher-codex bootstrap

```

See [.codex/INSTALL.md](.codex/INSTALL.md) for details.

OpenCode

Option 1: Ask OpenCode (Agentic)

Tell OpenCode:

```text

Fetch and follow instructions from https://raw.githubusercontent.com/poemswe/co-researcher/main/.opencode/INSTALL.md

```

Option 2: Manual Setup

```bash

# 1. Clone this repo

# 2. Run the installer:

./.opencode/install.sh

```

See [.opencode/INSTALL.md](.opencode/INSTALL.md) for details.

Native Platform Parity

The suite provides native research commands across all supported platforms:

| Feature | Command (Claude) | Slash (Gemini) | Skill (Codex) |

|---------|------------------|----------------|---------------|

| Research Project | /research | /research | $research |

| Methodology | /methodology | /methodology | $methodology |

| Critical Analysis | /analyze | /analyze | $analyze |

| Bibliography | /bibliography | /bibliography | $bibliography |

| Synthesize | /synthesize | /synthesize | $synthesize |

| Peer Review | /review | /review | $review |

| Ethical Risk | /ethics | /ethics | $ethics |

| Grant Proposal | /grant | /grant | $grant |

Research Orchestration Engine

The /research command features intelligent agent orchestration that automatically:

  • Analyzes your research question
  • Selects optimal agents for your specific needs
  • Creates an execution plan with clear phases
  • Coordinates multi-agent workflows

Usage Modes

Interactive Mode (default - recommended):

```bash

/research "impact of social media on teenage mental health"

```

Review and approve the execution plan before agents run.

Auto Mode (for trusted workflows):

```bash

/research "climate change mitigation strategies" --auto

```

Executes the plan automatically without confirmation.

Plan-Only Mode (for review):

```bash

/research "AI ethics frameworks" --plan-only

```

Generates execution plan but doesn't run it.

Example Workflow

```bash

# 1. Start research with orchestration

/research "effectiveness of remote work on productivity"

# The engine will:

# - literature-reviewer: Find recent studies on remote work outcomes

# - critical-analyzer: Evaluate methodology and bias in key studies

# - quant-analyst: Interpret effect sizes and statistical significance

# - hypothesis-explorer: Map variables (work location, productivity metrics, confounds)

# 2. Review generated plan and approve execution

# 3. Agents run in coordinated sequence

# 4. Receive integrated findings

```

Templates

Pre-configured agent combinations for common scenarios:

```bash

/research "topic" --template=quick # Fast literature scan

/research "topic" --template=rigorous # Full systematic review

/research "topic" --template=comprehensive # Deep multi-method analysis

```

Specialized Skills

The suite includes PhD-level research skills, each governed by Systemic Honesty principles.

  • critical-analysis: Riguous logic checking and fallacy detection
  • ethics-review: IRB compliance and privacy risk assessment
  • grant-writing: Funding strategy and proposal development
  • hypothesis-testing: Variable mapping and experimental design
  • lateral-thinking: Cross-domain analogies and first-principles reasoning
  • literature-review: Systematic search and citation analysis
  • multi-source-investigation: Cross-validation across diverse sources
  • peer-review: Manuscript critique and methodological review
  • qualitative-research: Thematic analysis and coding
  • quantitative-analysis: Statistical power and effect size interpretation
  • research-methodology: Design selection and validation
  • research-synthesis: Narrative synthesis with uncertainty quantification
  • systematic-review: PRISMA-standard systematic review guidance

Evaluation Framework

Verify agent performance with the v2.0 benchmark system:

```bash

cd evals

python run_eval.py all -j 4 --model "codex:gpt-5.2 high"

```

Features

  • Parallel Runner: Multi-threaded execution with -j (jobs) flag
  • Dynamic Rubrics: 6 specialized rubrics matched to agent skills
  • Extended Targeting: Support for specific versions and reasoning levels
  • Persistent Indexing: Rebuildable latest/index.md summary

Benchmark v2.0

Two-file architecture for scalability and transparency:

Dashboard Data (benchmark_overview.json ~900B):

  • Lightweight run metadata and summary stats
  • Fast dashboard load times (10-50x improvement)

Test Details (test_results_detail/{run_id}.json ~500KB):

  • Full agent outputs and judge evaluations
  • Rubric-by-rubric scoring breakdowns
  • Must-include analysis and justifications

Arena Dashboard:

View live interactive dashboard at [coresearcher.poepoe.ninja/arena.html](https://coresearcher.poepoe.ninja/arena.html)

Or run locally:

```bash

open evals/arena.html

```

Features: Model leaderboards, capability matrices, score trends, and detailed test breakdowns with performance ratings (Excellent/Good/Fair/Poor).

Architecture

  • agents/: Core agent definitions (Markdown).
  • commands/: Unified platform commands (.md for Claude, .toml for Gemini).
  • .codex/skills/: Native repository skills for Codex.
  • evals/: 22 test cases and Python runner.
  • manifests: gemini-extension.json, AGENTS.md, GEMINI.md.

License

MIT

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