Agent skill

deep-research

Deep research and discovery before building something new. Explores local projects for reusable code, researches competitors, reads forums and reviews, analyses plugin ecosystems, investigates technical options, and produces a comprehensive research brief. Three depths: focused (30 min), wide (1-2 hours), deep (3-6 hours). Triggers: 'research this', 'deep research', 'discovery', 'explore the space', 'what should I build', 'competitive analysis', 'before I start building', 'research before coding'.

majiayu000github.com/majiayu000GitHub ↗
claude-codeMIT
Install
npx skills add majiayu000/claude-skill-registry --skill deep-research-jezweb-claude-skills --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 15 KB
Bundled scripts: none
Requires: claude-code-only
Path: skills/analysis/deep-research-jezweb-claude-skills/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 534
Language: HTML

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Deep Research Comprehensive research and discovery before building something new. Instead of jumping straight into code from training data, this skill goes wide and deep — local exploration, web research, competitor analysis, ecosystem signals, future-casting — and produces a research brief that makes the actual build 10x more productive. ## Depth Levels The difference is **scope of ambition**, not just time. | Depth | Purpose | Scope | |-------|---------|-------| | **focused** | Answer a specific question | One decision: "CodeMirror vs ProseMirror?" — targeted search, local scan, 1-2 comparisons. Produces a 1-page recommendation. | | **wide** | Understand the space | Landscape for a new product or feature. Competitors, ecosystem, user needs, architecture options. Enough to write a spec. | | **deep** | Plan a major build | Leave no stone unturned. Everything in wide PLUS library/component research, plugin ecosystems, GitHub issues mining, community sentiment, future-casting, technical deep-dives on every decision. Enough to drive weeks of coding. | Default: **wide** ## Workflow ### 1. Understand the Intent Ask the user: - **What** are you building? (one sentence) - **Why?** What

What's inside
Steps it walks through
  1. Depth Levels
  2. Workflow
  3. 1. Understand the Intent
  4. 2. Local Exploration
  5. 3. Web Research
  6. 4. Ecosystem and Community Research (wide + deep)
  7. 5. Competitor Deep-Dive (wide + deep)
  8. 6. Library and Component Research (deep mode)
  9. 7. Platform Capability Deep-Dive (wide + deep)
  10. 8. Future-Casting (deep mode)
  11. 9. Technical Research (deep mode)
  12. 10. Synthesis
  13. Tips
Ships with 1 file
  • metadata.json
Commands it runs
Find related projects by name/keyword
ls ~/Documents/ | grep -i "KEYWORD"
Read CLAUDE.md of related projects for architecture context
find ~/Documents -maxdepth 2 -name "CLAUDE.md" -exec grep -l "KEYWORD" {} \;
Check for reusable patterns, schemas, components
find ~/Documents -maxdepth 3 -name "schema.ts" -o -name "ARCHITECTURE.md" | head -20
More from claude-skill-registry
All skills →
About this skill
What does the deep-research skill do?

Deep research and discovery before building something new. Explores local projects for reusable code, researches competitors, reads forums and reviews, analyses plugin ecosystems, investigates technical options, and produces a comprehensive research brief. Three depths: focused (30 min), wide (1-2 hours), deep (3-6 hours). Triggers: 'research this', 'deep research', 'discovery', 'explore the space', 'what should I build', 'competitive analysis', 'before I start building', 'research before coding'.

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill deep-research-jezweb-claude-skills --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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