Agent skill

Action Research Guide

by wentorai in wentorai/research-plugins

Design and conduct action research and participatory studies

MITAuto-check passedResearch & Science

Install Action Research Guide

skills CLI
$ npx skills add wentorai/research-plugins --skill action-research-guide -a claude-code

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

GitHub CLI
$ gh skill install wentorai/research-plugins action-research-guide --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/wentorai/research-plugins.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/research/methodology/action-research-guide .claude/skills/action-research-guide && 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
action-research-guide
GitHub stars
298
Used in
1 other repo
Token cost
~1.9k tokens
SKILL.md length
219 words
Files
1
Skills in repo
405
Repo updated
First seen
Licence
MIT

At a glance

Design and conduct action research and participatory studies

  • Research & Science work in your project
  • SKILL.md covers What Is Action Research?, The Action Research Cycle, Stakeholder Engagement and Data Collection in Action…, plus 2 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Action Research Guide is an agent skill from wentorai/research-plugins. Design and conduct action research and participatory studies

Its SKILL.md is about 1.9k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Research & Science. The repository describes itself as: 350+ academic research skills, MCP configs, and plugins for Research-Claw and AI agents. The licence is MIT.

When your agent uses it

  • Research & Science work in your project

Example prompts

  • “/action-research-guide”

Requirements

  • Python 3

What it can do on your machine

Read from SKILL.md and the folder at commit bf44b3c. 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 (its code samples are python).

    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.

Context cost

Action Research Guide loads about 1.9k tokens when it runs. Until then it costs about 21 tokens; SKILL.md has 219 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~21
When it runs · the whole SKILL.md, loaded when a task matches
~1.9k

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 wentorai/research-plugins at commit bf44b3c, republished under its MIT licence (© wentorai). 219 words, ~1,928 tokens.

Download SKILL.mdSave it as .claude/skills/action-research-guide/SKILL.md (or your agent's skills folder).
name
action-research-guide
description
Design and conduct action research and participatory studies

Action Research Guide

A skill for designing and conducting action research (AR), participatory action research (PAR), and community-based participatory research (CBPR). Covers the cyclical AR process, stakeholder engagement, data collection within action cycles, and balancing rigor with practical impact.

What Is Action Research?

Defining Characteristics
Action research is research conducted WITH and FOR participants,
not ON them. It aims to produce both practical improvements and
new knowledge simultaneously.

Key principles:
  1. Collaboration: Researchers and participants work as partners
  2. Cyclical process: Plan -> Act -> Observe -> Reflect -> Repeat
  3. Practical focus: Solving a real problem in a real setting
  4. Democratic: Participants have voice in research design
  5. Reflexive: Ongoing critical reflection on the process

Contrast with traditional research:
  Traditional: Researcher studies participants at arm's length
  Action research: Researcher and participants co-investigate
Types of Action Research
TypeFocusWho Leads
Practical ARImproving professional practicePractitioner-researcher
Participatory AR (PAR)Empowerment and social changeCommunity members + researcher
CBPRHealth equity and community needsCommunity-academic partnership
Educational ARImproving teaching and learningTeachers
Organizational ARImproving organizational processesInternal change agents

The Action Research Cycle

Plan-Act-Observe-Reflect
python
def action_research_cycle(cycle_number: int,
                          problem: str,
                          planned_action: str) -> dict:
    """
    Structure one cycle of action research.

    Args:
        cycle_number: Which iteration of the cycle (1, 2, 3...)
        problem: The problem or question being addressed
        planned_action: The intervention or change being implemented
    """
    cycle = {
        "cycle": cycle_number,
        "problem_definition": problem,
        "phases": {
            "plan": {
                "activities": [
                    "Collaboratively define the problem with stakeholders",
                    "Review evidence and prior knowledge",
                    "Design the intervention or action step",
                    "Determine data collection methods",
                    "Establish success criteria"
                ],
                "planned_action": planned_action
            },
            "act": {
                "activities": [
                    "Implement the planned action",
                    "Document the implementation process",
                    "Note deviations from the plan and why they occurred",
                    "Maintain a reflective journal"
                ]
            },
            "observe": {
                "activities": [
                    "Collect data during and after the action",
                    "Gather participant feedback",
                    "Record outcomes (intended and unintended)",
                    "Compile evidence of change or no change"
                ],
                "data_sources": [
                    "Observations and field notes",
                    "Interviews with participants",
                    "Surveys or questionnaires",
                    "Artifacts (documents, records, student work)",
                    "Quantitative measures (if applicable)"
                ]
            },
            "reflect": {
                "activities": [
                    "Analyze collected data",
                    "Discuss findings with stakeholders",
                    "Identify what worked and what did not",
                    "Determine modifications for the next cycle",
                    "Document lessons learned"
                ]
            }
        },
        "next_cycle": (
            "Revise the plan based on reflections and begin the next cycle. "
            "Each cycle should show progressive refinement of the intervention."
        )
    }

    return cycle

Stakeholder Engagement

Building Genuine Partnerships
Spectrum of Participation (from low to high):

  Inform:       One-way communication to participants
  Consult:      Gather input, researcher makes decisions
  Involve:      Participants contribute to some decisions
  Collaborate:  Shared decision-making throughout
  Empower:      Participants lead, researcher supports

True action research operates at the Collaborate or Empower level.

Strategies for genuine engagement:
  - Hold meetings at times and locations convenient for participants
  - Use accessible language (avoid academic jargon)
  - Share data and findings openly with all partners
  - Negotiate authorship and credit transparently
  - Build relationships before starting the research
  - Compensate participants for their time and expertise

Data Collection in Action Research

Mixed Methods Within Cycles
Qualitative data:
  - Reflective journals (researcher and participants)
  - Focus groups after each action cycle
  - Semi-structured interviews with key stakeholders
  - Photographs and video documentation
  - Meeting minutes and decision logs

Quantitative data:
  - Pre/post surveys measuring target outcomes
  - Performance metrics (test scores, health indicators)
  - Process metrics (attendance, participation rates)
  - Time series data across multiple cycles

Integration:
  - Use quantitative data to measure change
  - Use qualitative data to understand WHY change did or did not occur
  - Triangulate across sources for credibility

Ensuring Rigor

Quality Criteria for Action Research
CriterionStrategy
Outcome validityDid the action solve the problem?
Process validityWere methods adequate and appropriate?
Democratic validityWere all stakeholders' perspectives included?
Catalytic validityDid the research energize participants to act?
Dialogic validityHas the work been peer-reviewed or scrutinized?
Common Critiques and Responses
Critique: "It is not generalizable."
Response: Action research produces transferable insights, not
          statistical generalizations. Thick description allows
          readers to judge applicability to their own context.

Critique: "The researcher is biased (they are part of the setting)."
Response: AR is transparent about the researcher's positionality.
          Reflexive journaling, peer debriefing, and member checking
          mitigate bias. Insider knowledge is a strength, not a flaw.

Critique: "It is just practice improvement, not real research."
Response: AR produces systematic, evidence-based knowledge that is
          publicly shared and peer-reviewed. The dual focus on action
          and research is by design, not a limitation.

Reporting Action Research

Follow the ARCS (Action Research Cycle Reporting Standards) or use the general structure: describe the context and problem, explain the partnership and roles, present each cycle (plan-act-observe-reflect) chronologically, show how the intervention evolved across cycles, report both practical outcomes and theoretical contributions, and reflect on limitations and what you would do differently.

© wentorai, 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/research/methodology/action-research-guide of wentorai/research-plugins.

Open the folder on GitHubat commit bf44b3c

Used in 1 other repository

We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in wentorai/research-plugins, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Action Research Guide 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.

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Action Research Guide this skillwentorai/research-plugins2981 repos~1.9kAutomated safety check: PassMIT
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GitHub Deep Researchbytedance/deer-flow84k4 repos~1.3kAutomated safety check: PassMIT
Nature Paper CardYuan1z0825/nature-skills47k2 repos~2.1kAutomated safety check: PassApache-2.0
Content Research Writerweapp-tailwindcss/weapp-tailwindcss1.9k25 repos~3.5kAutomated safety check: PassMIT
Last30daysmvanhorn/last30days-skill64k—~7.9kAutomated safety check: NotesMIT

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Questions about Action Research Guide

What does Action Research Guide do?

Design and conduct action research and participatory studies. Action Research Guide is an agent skill from wentorai/research-plugins.

When should I use Action Research Guide?

Action Research Guide fits situations like: research & Science work in your project.

How do I install Action Research Guide in Claude Code?

Run `npx skills add wentorai/research-plugins --skill action-research-guide -a claude-code`. Or copy the skill folder (skills/research/methodology/action-research-guide in wentorai/research-plugins) into .claude/skills/action-research-guide in your project. Claude Code loads it when a task matches its description.

How do I install Action Research Guide in Codex?

Run `npx skills add wentorai/research-plugins --skill action-research-guide -a codex`. Or copy the skill folder (skills/research/methodology/action-research-guide in wentorai/research-plugins) into .agents/skills/action-research-guide in your project. Codex loads it when a task matches its description.

Can I use Action Research Guide 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 wentorai/research-plugins --skill action-research-guide -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/action-research-guide, .gemini/skills/action-research-guide, .github/skills/action-research-guide and .opencode/skills/action-research-guide in your project.

What does Action Research Guide need to run?

SKILL.md names no scripts, command-line tools or credentials: Action Research Guide is instructions for the agent only. Our summary lists: Python 3.

Does Action Research Guide 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 Action Research Guide 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 Action Research Guide use?

Action Research Guide is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Action Research Guide use?

About 1.9k tokens (SKILL.md is roughly 7.7k 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 Action Research Guide?

Skills that share tags, products or a category with Action Research Guide: Hypothesis Generation (spacering-net/codeg, 3.9k stars), GitHub Deep Research (bytedance/deer-flow, 84k stars), Nature Paper Card (Yuan1z0825/nature-skills, 47k stars) and Content Research Writer (weapp-tailwindcss/weapp-tailwindcss, 1.9k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Action Research Guide?

wentorai (a GitHub user) maintains it in wentorai/research-plugins, which has 298 GitHub stars. The repository holds 405 skills in this directory. The repository was last updated on June 19, 2026.

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