Full DeepScientist research pipeline: scout → baseline → idea → experiment → analysis → optimize → write → review → finalize. End-to-end autonomous research lifecycle.
Scanned 5/31/2026
Install via CLI
openskills install gabrielmoreira/agent-skills-mirror---
name: ds-full-pipeline
description: "Full DeepScientist research pipeline: scout → baseline → idea → experiment → analysis → optimize → write → review → finalize. End-to-end autonomous research lifecycle."
license: MIT
metadata:
author: ResearAI/DeepScientist
version: "1.0.0"
---
# DeepScientist Full Pipeline
End-to-end autonomous research workflow for: **$ARGUMENTS**
## Overview
This skill chains all DeepScientist research stages into a single pipeline:
```
/ds-scout → /ds-baseline → /ds-idea → /ds-experiment → /ds-analysis-campaign → /ds-optimize → /ds-write → /ds-review → /ds-finalize
```
## Pipeline
### Stage 1: Scout
Frame the research problem, survey literature, identify datasets/metrics, discover existing baselines.
```
/ds-scout "$ARGUMENTS"
```
**Output:** Problem framing, literature map, baseline shortlist, evaluation contract.
**🚦 Gate 1:** Present the research landscape to the user. Wait for confirmation before proceeding.
### Stage 2: Baseline
Reproduce or import the most relevant baseline from Stage 1's shortlist.
```
/ds-baseline
```
**Output:** Working baseline with verified metrics, comparability contract.
### Stage 3: Idea
Generate concrete research hypotheses based on the literature gaps and baseline analysis.
```
/ds-idea
```
**Output:** Ranked candidate ideas with selection rationale.
**🚦 Gate 2:** Present top ideas to the user. Wait for confirmation of which idea to pursue.
### Stage 4: Experiment
Implement and run the main experiment for the selected idea.
```
/ds-experiment
```
**Output:** Experiment code, results, evidence artifacts.
### Stage 5: Analysis Campaign
Run follow-up experiments: ablations, robustness checks, error analysis.
```
/ds-analysis-campaign
```
**Output:** Ablation results, robustness data, writing-facing evidence slices.
### Stage 6: Optimize (Optional)
If results are promising but not yet strong enough, run algorithm-first iterative improvement.
```
/ds-optimize
```
Skip this stage if main experiment results already meet the success criteria.
### Stage 7: Write
Draft the paper from accepted evidence.
```
/ds-write
```
**Output:** LaTeX paper draft with figures and references.
### Stage 8: Review
Run an independent skeptical audit of the draft.
```
/ds-review
```
**Output:** Review report with severity-graded feedback.
If review identifies critical issues → fix and re-review (max 2 rounds).
### Stage 9: Finalize
Consolidate final claims, limitations, and recommendations.
```
/ds-finalize
```
**Output:** Final paper, summary state, resume packet.
## Key Rules
- **Gate checkpoints after Scout and Idea stages.** Do not proceed without user confirmation on research direction and idea selection.
- **Stages 4-9 can run autonomously** once the user confirms the idea.
- **Evidence-first writing.** Every claim in the paper must trace to an experiment artifact.
- **Fail gracefully.** If any stage fails, report clearly and suggest alternatives rather than forcing forward.
- **Git as memory.** Commit after each stage so progress is durable.
## Typical Timeline
| Stage | Duration | Autonomous? |
|-------|----------|-------------|
| 1. Scout | 20-40 min | Wait for Gate 1 |
| 2. Baseline | 15-60 min | Yes |
| 3. Idea | 15-30 min | Wait for Gate 2 |
| 4. Experiment | 30 min - hours | Yes |
| 5. Analysis | 30-60 min | Yes |
| 6. Optimize | 0-60 min | Yes (optional) |
| 7. Write | 30-60 min | Yes |
| 8. Review | 15-30 min | Yes |
| 9. Finalize | 10-20 min | Yes |
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