Agent skill

Discover Research

by rand in rand/cc-polymath

Automatically discover research methodology skills when working with research methodology, literature review, systematic review, evidence synthesis, academic research, or experimental design.

MITAuto-check passedResearch & Science

Install Discover Research

skills CLI
$ npx skills add rand/cc-polymath --skill discover-research -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install rand/cc-polymath discover-research --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/rand/cc-polymath.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/discover-research .claude/skills/discover-research && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
discover-research
GitHub stars
181
Token cost
~2.2k tokens
SKILL.md length
730 words
Files
1
Skills in repo
26
Repo updated
First seen
Licence
MIT

At a glance

Automatically discover research methodology skills when working with research methodology, literature review, systematic review, evidence synthesis, academic research, or experimental design.

  • Works in 5 steps: Start with design: Load research-design… → Method-specific loading: Load only the… → Progressive addition: Add skills as you… → …
  • Tasks that involve Experimental design
  • SKILL.md covers Auto-Activation, Available Research Skills, Loading Skills and Progressive Loading, plus 6 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Discover Research is an agent skill from rand/cc-polymath. Automatically discover research methodology skills when working with research methodology, literature review, systematic review, evidence synthesis, academic research, or experimental design. Activates for research tasks.

Its SKILL.md is about 2.2k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts. Compatibility notes: Designed for Claude Code. Compatible with any agent supporting the Agent Skills format.

It sits in Research & Science, covering Experimental design and Literature review. The repository describes itself as: Claude Code skills and workflows, optimized for context-efficiency and skill quality. Skills ranging from cloud infrastructure to design to advanced maths. The licence is MIT.

When your agent uses it

  • Tasks that involve Experimental design
  • Tasks that involve Literature review

Example prompts

  • “/discover-research”

Requirements

  • Python 3
  • Compatibility (from SKILL.md): Designed for Claude Code. Compatible with any agent supporting the Agent Skills format.

Workflow steps

5 steps, taken from the first numbered list in SKILL.md.

  1. Start with design: Load research-design first when planning new studies
  2. Method-specific loading: Load only the method skill you need (quant OR qual)
  3. Progressive addition: Add skills as you progress through research phases
  4. Unload when done: Unload skills from completed phases to manage context
  5. Keep writing loaded: research-writing useful throughout for documentation

What it can do on your machine

Read from SKILL.md and the folder at commit baa2df1. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

  • Compatibility

    Designed for Claude Code. Compatible with any agent supporting the Agent Skills format.

    From compatibility in the SKILL.md frontmatter.

Context cost

Discover Research loads about 2.2k tokens when it runs. Until then it costs about 60 tokens; SKILL.md has 730 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~60
When it runs · the whole SKILL.md, loaded when a task matches
~2.2k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from rand/cc-polymath at commit baa2df1, republished under its MIT licence (© rand). 730 words, ~2,166 tokens.

Download SKILL.mdSave it as .claude/skills/discover-research/SKILL.md (or your agent's skills folder).
name
discover-research
description
Automatically discover research methodology skills when working with research methodology, literature review, systematic review, evidence synthesis, academic research, or experimental design. Activates for research tasks.
compatibility
Designed for Claude Code. Compatible with any agent supporting the Agent Skills format.
license
MIT
metadata.author
rand
metadata.version
4.0

Research Skills Discovery

Auto-Activation

This skill is automatically activated when your task involves:

  • Research synthesis, literature reviews, meta-analysis
  • Quantitative research, statistical analysis, surveys, experiments
  • Qualitative research, interviews, ethnography, case studies
  • Study design, hypothesis testing, sampling strategies
  • Data collection, survey design, interview protocols
  • Data analysis, coding, statistical tests, visualization
  • Research writing, academic papers, citations, reporting

Available Research Skills

Core Methodology Skills

1. research-synthesis - Synthesizing information and conducting meta-analysis

  • Narrative synthesis approaches
  • Meta-analysis with Python implementation
  • Thematic synthesis of qualitative findings
  • Evidence mapping and gap analysis
  • GRADE framework for quality assessment
  • Use when: Integrating findings across studies

2. quantitative-methods - Quantitative research and statistical analysis

  • Experimental design with power analysis
  • Survey methods and analysis
  • Hypothesis testing framework
  • Regression analysis with diagnostics
  • Effect sizes and reporting
  • Use when: Testing hypotheses with numerical data

3. qualitative-methods - Qualitative research approaches

  • In-depth interview protocols
  • Thematic analysis (6 phases)
  • Grounded theory coding
  • Case study research design
  • Quality criteria and rigor
  • Use when: Exploring experiences and meanings

4. research-design - Planning and designing research studies

  • Research question formulation (FINER criteria)
  • Validity threat analysis
  • Sampling strategies with Python tools
  • Experimental control frameworks
  • Design quality assessment
  • Use when: Planning a new study from scratch
Implementation Skills

5. data-collection - Methods for gathering research data

  • Survey instrument design and validation
  • Interview protocol development
  • Observation methods and field notes
  • Data quality control frameworks
  • Response rate optimization
  • Use when: Implementing data collection

6. data-analysis - Analyzing quantitative and qualitative data

  • Comprehensive descriptive statistics
  • Inferential testing with full reporting
  • Systematic qualitative coding
  • Thematic development process
  • Publication-ready visualizations
  • Use when: Making sense of collected data

7. research-writing - Writing research papers and reports

  • IMRAD structure with guidelines
  • APA statistical reporting
  • Citation management
  • Argument construction
  • Peer review response strategies
  • Use when: Communicating research findings

Loading Skills

Load Individual Skills

From skills directory

Read ../research/research-synthesis.md Read ../research/quantitative-methods.md Read ../research/qualitative-methods.md Read ../research/research-design.md Read ../research/data-collection.md Read ../research/data-analysis.md Read ../research/research-writing.md

Common Workflow Combinations

Quantitative Research Study:

Planning phase

Read ../research/research-design.md

Data collection

Read ../research/data-collection.md Read ../research/quantitative-methods.md

Analysis and reporting

Read ../research/data-analysis.md Read ../research/research-writing.md

Qualitative Research Study:

Planning phase

Read ../research/research-design.md

Data collection

Read ../research/data-collection.md Read ../research/qualitative-methods.md

Analysis and reporting

Read ../research/data-analysis.md Read ../research/research-writing.md

Literature Review / Meta-Analysis:

Synthesis phase

Read ../research/research-synthesis.md

If including quantitative synthesis

Read ../research/quantitative-methods.md

Writing phase

Read ../research/research-writing.md

Mixed Methods Study:

All methods

Read ../research/research-design.md Read ../research/quantitative-methods.md Read ../research/qualitative-methods.md Read ../research/data-collection.md Read ../research/data-analysis.md Read ../research/research-writing.md

Progressive Loading

Load skills progressively based on research phase:

Phase 1: Planning (Load 1-2 skills)

  • research-design (always)
  • quantitative-methods OR qualitative-methods (based on approach)

Phase 2: Collection (Add 1-2 skills)

  • data-collection (always)
  • Keep loaded: specific method skill

Phase 3: Analysis (Add 1 skill)

  • data-analysis (always)
  • Keep loaded: method and collection skills for reference

Phase 4: Writing (Add 1 skill, can unload others)

  • research-writing (always)
  • research-synthesis (if synthesizing literature)
  • Keep one method skill for reporting details

Phase 5: Synthesis (If conducting review)

  • research-synthesis (load early)
  • quantitative-methods (if meta-analysis)
  • qualitative-methods (if thematic synthesis)
Show full SKILL.md (258 more words)Show less

Decision Tree

Research Task
    ↓
Conducting new study?
    YES → Load research-design
        ↓
        Quantitative approach?
            YES → Load quantitative-methods + data-collection
        Qualitative approach?
            YES → Load qualitative-methods + data-collection
        Mixed methods?
            YES → Load both methods + data-collection
        ↓
        Ready to analyze?
            YES → Load data-analysis
        ↓
        Ready to write?
            YES → Load research-writing

    NO → Synthesizing existing research?
        YES → Load research-synthesis
            ↓
            Quantitative synthesis (meta-analysis)?
                YES → Also load quantitative-methods
            Qualitative synthesis?
                YES → Also load qualitative-methods
            ↓
            Ready to write?
                YES → Load research-writing

Context-Aware Loading

Based on keywords in your task, these skills auto-load:

Keywords → Skills Mapping:

  • "literature review", "meta-analysis", "systematic review" → research-synthesis
  • "survey", "experiment", "hypothesis", "statistical" → quantitative-methods
  • "interview", "ethnography", "case study", "lived experience" → qualitative-methods
  • "study design", "sampling", "validity", "research plan" → research-design
  • "questionnaire", "data collection", "measurement" → data-collection
  • "analyze data", "coding", "statistical test", "thematic" → data-analysis
  • "write paper", "manuscript", "citation", "peer review" → research-writing
  • statistics: Advanced statistical techniques
  • data-science: Machine learning and big data approaches
  • visualization: Advanced data visualization
  • academic-writing: General academic writing skills
  • scientific-computing: Python/R for research computing

Quick Start Examples

"I need to design a survey study"

Read ../research/research-design.md Read ../research/data-collection.md Read ../research/quantitative-methods.md

"I need to analyze interview transcripts"

Read ../research/qualitative-methods.md Read ../research/data-analysis.md

"I need to conduct a meta-analysis"

Read ../research/research-synthesis.md Read ../research/quantitative-methods.md

"I need to write up my results"

Read ../research/research-writing.md Read ../research/data-analysis.md

Best Practices

  1. Start with design: Load research-design first when planning new studies
  2. Method-specific loading: Load only the method skill you need (quant OR qual)
  3. Progressive addition: Add skills as you progress through research phases
  4. Unload when done: Unload skills from completed phases to manage context
  5. Keep writing loaded: research-writing useful throughout for documentation

Skill Maintenance

All research skills follow these standards:

  • Practical code examples (Python primary, R when appropriate)
  • Real-world templates and protocols
  • Best practices and anti-patterns
  • Cross-references to related skills
  • 250-400 lines optimized for context efficiency

Integration with Other Skills

Research skills integrate well with:

  • python-data-science: For advanced analysis
  • python-visualization: For publication graphics
  • academic-latex: For paper formatting
  • git-workflow: For research project management
  • reproducibility: For reproducible research practices

© rand, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skills/discover-research of rand/cc-polymath.

Open the folder on GitHubat commit baa2df1

Compare with similar skills

Discover Research next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Discover Research compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Discover Research this skillrand/cc-polymath181—~2.2kAutomated safety check: PassMIT
Scholar Evaluationjimmc414/Kosmos5951 repos~2.5kAutomated safety check: PassNone
Denariodavila7/claude-code-templates32k8 repos~1.5kAutomated safety check: NotesMIT
Academic Writingwentorai/Research-Claw858—~896Automated safety check: PassCustom licence
Research Paper WritingRedWoodOG/Hermes-Desktop1776 repos~16kAutomated safety check: NotesMIT
Bgpt Paper Searchagent-skills-hub/agent-skills-hub1113 repos~715Automated safety check: NotesMIT

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Questions about Discover Research

What does Discover Research do?

Automatically discover research methodology skills when working with research methodology, literature review, systematic review, evidence synthesis, academic research, or experimental design. Discover Research is an agent skill from rand/cc-polymath. Automatically discover research methodology skills when working with research methodology, literature review, systematic review, evidence synthesis, academic research, or experimental design.

When should I use Discover Research?

Discover Research fits situations like: tasks that involve Experimental design; tasks that involve Literature review.

How do I install Discover Research in Claude Code?

Run `npx skills add rand/cc-polymath --skill discover-research -a claude-code`. Or copy the skill folder (skills/discover-research in rand/cc-polymath) into .claude/skills/discover-research in your project. Claude Code loads it when a task matches its description.

How do I install Discover Research in Codex?

Run `npx skills add rand/cc-polymath --skill discover-research -a codex`. Or copy the skill folder (skills/discover-research in rand/cc-polymath) into .agents/skills/discover-research in your project. Codex loads it when a task matches its description.

Can I use Discover Research in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add rand/cc-polymath --skill discover-research -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/discover-research, .gemini/skills/discover-research, .github/skills/discover-research and .opencode/skills/discover-research in your project.

What does Discover Research need to run?

SKILL.md names no scripts, command-line tools or credentials: Discover Research is instructions for the agent only. Our summary lists: Python 3. Compatibility (from SKILL.md): Designed for Claude Code. Compatible with any agent supporting the Agent Skills format..

Does Discover Research access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Discover Research safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Discover Research use?

Discover Research is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Discover Research use?

About 2.2k tokens (SKILL.md is roughly 8.7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Discover Research?

Skills that share tags, products or a category with Discover Research: Scholar Evaluation (jimmc414/Kosmos, 595 stars), Denario (davila7/claude-code-templates, 32k stars), Academic Writing (wentorai/Research-Claw, 858 stars) and Research Paper Writing (RedWoodOG/Hermes-Desktop, 177 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Discover Research?

rand (a GitHub user) maintains it in rand/cc-polymath, which has 181 GitHub stars. The repository holds 26 skills in this directory. The repository was last updated on February 28, 2026.

Source: rand/cc-polymath on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.