Skills
Deep Research Skill
Community-maintained deep-research skill for Claude. Plan, search, synthesize, cite. The discovery loop, packaged.
Our verdict
We have not reviewed Deep Research Skill yet
No one at Enterprise DNA has checked this listing against its sources. The description comes from public listings gathered automatically. Any fact below shows where it came from and when it was last checked.
From the listing
About Deep Research Skill
The Deep Research skill encodes a reliable plan-search-synthesize loop into a Claude skill. It scaffolds the agent's research session: scope, queries, source quality checks, structured notes, then a final synthesis with citations. The right pattern when you want consistent research output across many runs.
Best for
Teams running research workflows where structure beats raw token spend
Use cases
- Run a market-scan research pass with consistent structure
- Produce a citation-backed briefing on a new topic
- Standardise research output across a team of analysts
- Bridge research outputs into downstream report pipelines
Notes
Why it matters
Research is one of the highest-value agent workflows and one of the easiest to do badly. A skill that locks in a real research loop lifts every research session above the random-chat baseline.
How teams use it in production
Pair with a search MCP server (Brave, Tavily, or a private corpus). Let the skill run the structured loop. Review the synthesis, not every step in the middle.
What to watch
Hosted research products (Perplexity, ChatGPT Pro, Anthropic Research) and local research skills are converging on the same structure. The locally-runnable skill keeps the data inside your boundary.
Pros
- Structured output across runs, not free-form summaries
- Forces citations and source quality checks
- Pairs cleanly with web search MCP servers
- Easy to fork for org-specific research checklists
Cons
- Quality bounded by the search tool the agent has access to
- Deep niche topics still need expert review
- Citations need a verification pass on high-stakes work
Key facts
What we have checked
- Days since the last commit
- 0
- GitHub forks
- 22,204
- GitHub stars
- 188,286
- Days to a first reply on issues
- 7.3
- Open issues
- 432
- Releases in the last 90 days
- 0
Each value shows when we last confirmed it and where it came from. Values we have not confirmed are left out, never guessed.
Stars and usage
How Deep Research Skill is growing
185,752 to 188,286
Health and security
Is Deep Research Skill looked after, and what do its setup files show
Health score
75 out of 100
| Part | Points | What we saw |
|---|---|---|
| Recent activity | 30 of 30 | Last push 0 days ago |
| Releases | 0 of 15 | 0 releases in 90 days |
| Issue replies | Not counted | The latest check has no issue response reading (fewer than 3 measured issues, or issues switched off) |
| Maintainer | 15 of 15 | Owned by an organisation |
| Official source | Not counted | MCP servers only |
Alternatives
Alternatives to Deep Research Skill
| Record | Type | How we know | Checked |
|---|---|---|---|
| librariumAlternative to this | Skill | Matched from the listing text | |
| web-research-assistantThis is an alternative to it | Skill | Matched from the listing text |
Compare
Compare Deep Research Skill side by side
Sources
Where this comes from
- GitHubRegistry
A source shows what was published when we checked it. It does not certify security, performance or a working installation. Read our method.
Changelog
What changed
No changes recorded yet. Releases, price changes and deprecations appear here, with their dates, once we track them for this record.
Open-source & AI alternatives
Swap-in tools that solve the same job. Weigh the trade-offs before you commit.
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