Agent skill

Research Workflow

by majiayu000 in majiayu000/claude-skill-registry

Systematic research workflow orchestrating multi-source research operations for comprehensive domain investigation.

MITAuto-check: notesResearch & Science

Install Research Workflow

skills CLI
$ npx skills add majiayu000/claude-skill-registry --skill research-workflow -a claude-code

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

GitHub CLI
$ gh skill install majiayu000/claude-skill-registry research-workflow --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/majiayu000/claude-skill-registry.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/analysis/research-workflow .claude/skills/research-workflow && 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
research-workflow
GitHub stars
666
Used in
1 other repo
Token cost
~684 tokens
SKILL.md length
247 words
Files
2
Skills in repo
971
Repo updated
First seen
Licence
MIT

At a glance

Systematic research workflow orchestrating multi-source research operations for comprehensive domain investigation.

  • Works in 5 steps: Web Search Research → GitHub Repository Research → Documentation Research → …
  • Researching new domains
  • SKILL.md covers Overview, When to Use, Research Workflow and Quick Reference
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Research Workflow is an agent skill from majiayu000/claude-skill-registry. Systematic research workflow orchestrating multi-source research operations for comprehensive domain investigation. Sequential workflow from web search through GitHub exploration and documentation analysis to research synthesis. Use when researching new domains, gathering patterns, investigating technologies, or conducting comprehensive multi-source research for skill development.

Its SKILL.md is about 680 tokens, which your agent loads only when the skill is triggered. The skill folder holds 1 other file (for example `metadata.json`).

It sits in Research & Science, covering Deep research, Web search and User research. It works with GitHub and Model Context Protocol. The repository describes itself as: Searchable Claude Code skills catalog with source-linked guides and generated registry artifacts. The licence is MIT.

When your agent uses it

  • Researching new domains
  • Gathering patterns
  • Investigating technologies
  • Conducting comprehensive multi-source research for skill development

Example prompts

  • “/research-workflow”

Requirements

  • Pre-approved tools (allowed-tools): Read, Write, Edit, Glob, Grep, Bash, WebSearch, WebFetch

Workflow steps

5 steps, taken from the step headings in SKILL.md.

  1. Web Search Research
  2. GitHub Repository Research
  3. Documentation Research
  4. MCP Server Research (Optional)
  5. Synthesize Findings

What it can do on your machine

Read from SKILL.md and the folder at commit 000116a. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves these tools, so the agent can use them without asking each time:

    • Read
    • Write
    • Edit
    • Glob
    • Grep
    • Bash
    • WebSearch
    • WebFetch

    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.

Context cost

Research Workflow loads about 684 tokens when it runs. Until then it costs about 100 tokens; SKILL.md has 247 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~100
When it runs · the whole SKILL.md, loaded when a task matches
~684

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: notes

The automated check noted patterns worth knowing about, such as sudo or a known installer.

  • NotePre-approves every shell command (allowed-tools: Bash)SKILL.md
    allowed-tools: Read, Write, Edit, Glob, Grep, Bash, WebSearch, WebFetch

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 majiayu000/claude-skill-registry at commit 000116a, republished under its MIT licence (© majiayu000). 247 words, ~684 tokens.

Download SKILL.mdSave it as .claude/skills/research-workflow/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
research-workflow
description
Systematic research workflow orchestrating multi-source research operations for comprehensive domain investigation. Sequential workflow from web search through GitHub exploration and documentation analysis to research synthesis. Use when researching new domains, gathering patterns, investigating technologies, or conducting comprehensive multi-source research for skill development.
allowed-tools
Read, Write, Edit, Glob, Grep, Bash, WebSearch, WebFetch

Research Workflow

Overview

research-workflow provides systematic multi-source research by orchestrating skill-researcher operations in optimal sequence.

Component Skill: skill-researcher (all 5 operations)

Workflow (5 steps):

  1. Web Search Research - Find best practices, recent information
  2. GitHub Repository Research - Discover code patterns, implementations
  3. Documentation Research - Study official docs, specifications
  4. MCP Server Research - Explore relevant MCP servers (if applicable)
  5. Synthesize Findings - Aggregate and consolidate all sources

Result: Comprehensive research synthesis from multiple credible sources

When to Use

  • Researching for new skill development
  • Investigating unfamiliar domains
  • Gathering implementation patterns
  • Technology/library research
  • Best practices discovery

Research Workflow

Step 1: Web Search Research

Search for best practices, recent blog posts, community knowledge.

Time: 15-30 minutes


Step 2: GitHub Repository Research

Find code examples, implementation patterns, community projects.

Time: 20-40 minutes


Step 3: Documentation Research

Study official documentation, specifications, API references.

Time: 20-40 minutes


Step 4: MCP Server Research (Optional)

Explore relevant MCP servers if domain has them.

Time: 15-30 minutes (skip if N/A)


Step 5: Synthesize Findings

Aggregate all sources, identify patterns, create synthesis document.

Time: 30-60 minutes


Quick Reference

The 5-Step Research Workflow
StepSourceTimeOutput
1Web Search15-30mBest practices, recent info
2GitHub20-40mCode patterns, examples
3Documentation20-40mOfficial specs, APIs
4MCP Servers15-30mServer capabilities (optional)
5Synthesis30-60mResearch synthesis document

Total Time: 2-3.5 hours

Result: research-synthesis.md with 3-5 sources, identified patterns, best practices

Use in: development-workflow Step 1 (research phase)


research-workflow ensures comprehensive multi-source research for well-grounded skill development.

© majiayu000, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 1 other file in skills/analysis/research-workflow of majiayu000/claude-skill-registry.

  • SKILL.md
  • metadata.json

Open the folder on GitHubat commit 000116a

Used in 1 other repository

We found 2 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in majiayu000/claude-skill-registry, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Research Workflow 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.

Research Workflow compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Research Workflow this skillmajiayu000/claude-skill-registry6661 repos~684Automated safety check: NotesMIT
X Collectaiskillstore/marketplace4301 repos~817Automated safety check: PassNone
Rival Search MCPdamionrashford/RivalSearchMCP1321 repos~796Automated safety check: PassMIT
Perplexity SearchescapeWu/perplexity-ai169—~1.8kAutomated safety check: PassMIT
MCP Managerclacky-ai/openclacky1.2k—~3kAutomated safety check: PassMIT
Sharingansd0xdev/sd0x-harness192—~2.3kAutomated safety check: PassMIT

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Questions about Research Workflow

What does Research Workflow do?

Systematic research workflow orchestrating multi-source research operations for comprehensive domain investigation. Research Workflow is an agent skill from majiayu000/claude-skill-registry. Systematic research workflow orchestrating multi-source research operations for comprehensive domain investigation.

When should I use Research Workflow?

Research Workflow fits situations like: researching new domains; gathering patterns; investigating technologies; conducting comprehensive multi-source research for skill development.

How do I install Research Workflow in Claude Code?

Run `npx skills add majiayu000/claude-skill-registry --skill research-workflow -a claude-code`. Or copy the skill folder (skills/analysis/research-workflow in majiayu000/claude-skill-registry) into .claude/skills/research-workflow in your project. Claude Code loads it when a task matches its description.

How do I install Research Workflow in Codex?

Run `npx skills add majiayu000/claude-skill-registry --skill research-workflow -a codex`. Or copy the skill folder (skills/analysis/research-workflow in majiayu000/claude-skill-registry) into .agents/skills/research-workflow in your project. Codex loads it when a task matches its description.

Can I use Research Workflow 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 majiayu000/claude-skill-registry --skill research-workflow -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/research-workflow, .gemini/skills/research-workflow, .github/skills/research-workflow and .opencode/skills/research-workflow in your project.

What does Research Workflow need to run?

SKILL.md names no scripts, command-line tools or credentials: Research Workflow is instructions for the agent only. Its frontmatter pre-approves these tools: Read, Write, Edit, Glob, Grep, Bash, WebSearch, WebFetch.

Does Research Workflow 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 Research Workflow safe to install?

Our automated static check of SKILL.md found notes only (pre-approves every shell command (allowed-tools: bash)), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.

What licence does Research Workflow use?

Research Workflow 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 Research Workflow use?

About 684 tokens (SKILL.md is roughly 2.7k 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 Research Workflow?

Skills that share tags, products or a category with Research Workflow: X Collect (aiskillstore/marketplace, 430 stars), Rival Search MCP (damionrashford/RivalSearchMCP, 132 stars), Perplexity Search (escapeWu/perplexity-ai, 169 stars) and MCP Manager (clacky-ai/openclacky, 1.2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Research Workflow?

majiayu000 (a GitHub user) maintains it in majiayu000/claude-skill-registry, which has 666 GitHub stars. The repository holds 971 skills in this directory. The repository was last updated on October 7, 2026.

Source: majiayu000/claude-skill-registry on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.