Deep Research Pro
Execute structured, cited research projects using a four-pass method for deep synthesis and conflict analysis.
$5
Works with the AI tools you already use
Claude Code
Cursor
Codex CLI
Muse
Dots+22 moreClaude CodeCursorCodex CLIMuseDots
OpenClaw
Manus
Grok
Grok Bot+18 agentsDeep Research Pro
Example session with this skill installed
Run a deep research project on the current state of Solid State Batteries for EVs. I have pasted findings from three papers and two industry news articles below. Use the Layered Method.
- Read your context and instructions
- Compiled the deep research pro
- Generated the document
I have processed the five sources provided and mapped them against the key sub-questions of energy density, charging speeds, and manufacturing scalability.
Research Report: Solid State Battery (SSB) Commercialization
1. Question & Scope
To determine the current technical readiness levels (TRL) and commercial timelines for solid-state batteries in the EV sector.
2. Method Note
Synthesis based on five sources: [S1] QuantumScape Q3 Report, [S2] Nature Energy SSB Review, [S3] Toyota 2024 Tech Brief, [S4] Solid Power Filing, [S5] Battery Design Journal.
3. Findings by Sub-Question
| Category | Findings | Source Tags |
|---|---|---|
| Energy Density | Reaching 400-500 Wh/kg in lab settings; 80-100% increase over Li-ion. | [S1], [S2] |
| Charging Speed | 10% to 80% charge achieved in 15 minutes without dendrite growth. | [S1], [S3] |
| Scalability | High-volume production remains stalled due to electrolyte fragility. | [S2], [S5] |
4. Conflicting Views
Timeline: [S3] claims mass production by 2027, while [S2] suggests 2030+ for wide market penetration due to roll-to-roll manufacturing hurdles.
*
Cost: [S4] indicates parity by 2028, but [S5] highlights specific rare earth costs that may keep SSBs at a 20% premium.
5. Synthesis
SSBs have achieved technical proof-of-concept for performance metrics but face a "manufacturing valley of death." While energy density targets are met, the cost and yield of solid electrolyte separators remain the primary barrier to displacing liquid electrolytes in the next 36 months.
6. Confidence & Gaps
- Confidence: High on performance data; Medium on cost projections.
- Gaps: No data provided on cold-weather performance or long-term cycle life beyond 1,000 cycles.
7. Source List
- [S1] QuantumScape Q3 Financials
- [S2] Nature Energy: Solid State Synthesis Review
- [S3] Toyota Technical Briefing 2024
- [S4] Solid Power SEC 10-K
- [S5] Battery Design Journal - Vol 12
Next steps
- Review the "Conflicting Views" section to decide which timeline to use for your roadmap.
- Provide cycle life data if you want a detailed longevity analysis.
- Request a one-page executive summary for stakeholders.
deep-research-pro.pdf
PDF · document
Example file from a real run - the skill writes it into your workspace.
Connects securely to your tools. The creator never sees your data.
What you get
About this skill
The problem
General AI research often results in shallow summaries or hallucinations because the model tries to "know" everything at once. You end up with a wall of text that lacks citations, misses conflicting viewpoints, and provides no clear audit trail for the data.
What it does
- Structures research into a four-pass "Layered Method" to ensure total topic coverage.
- Organizes raw pasted findings into a rigorous map of sub-questions and viewpoints.
- Executes a "Pressure Pass" to identify and record conflicting figures or weak evidence across your sources.
- Generates a cited report where every claim is tagged to your specific input data.
- Includes a mandatory confidence note to highlight knowledge gaps and data limitations.
Why this beats prompting it yourself
Standard prompts usually result in the AI assuming it knows the answer, leading to bias. This skill enforces a structured synthesis protocol that demands evidence for every claim and prevents the agent from ignoring minority viewpoints or conflicting data points.
Use cases
- Synthesizing multiple industry reports into a single market analysis.
- Conducting due diligence on a specific technology or competitor.
- Turning raw interview transcripts or paper abstracts into a structured literature review.
- Building a sourced brief for technical decision-making.
Known limitations
Does not browse the live web. You must provide the raw text or data sources for analysis. Quality of output is strictly tied to the breadth of information you paste.
How to install
Works the same in every agent - Claude, Cursor, Codex, Copilot and 20+ more.
- 1
Download the ZIP
Free skills download straight away. Paid skills unlock right after purchase.
- 2
Unzip into your skills folder
Every agent reads skills from one folder on your machine. Drop the unzipped folder in there.
- 3
Ask your agent to use it
Restart the agent if it was already running. It picks the skill up automatically - no config needed.
Skills folder by agent
Click the path to copy it. Create the folder if it does not exist yet.
Reviews
No reviews yet
Be one of the first to try it. Every listed skill passes our trust checks below.
Security scanned
Passed our 8-point scan before listing
Fresh listing
Recently published to Agensi
30-day refund
Not a fit? Get your money back
Trust & safety
Security scanned
Verified clean 24 days ago
- Passed all security checks, Safe to install