DeepScientist Full Pipeline

SkillDev tools

Full DeepScientist research pipeline: scout → baseline → idea → experiment → analysis → optimize → write → review → finalize. End-to-end autonomous research lifecycle.

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the DeepScientist Full Pipeline skill

What this skill tells your AI

The instructions your AI receives, as published by openlair/dr-claw in skills/ds-full-pipeline/SKILL.md and read by ahel’s review.

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

StageDurationAutonomous?
1. Scout20-40 minWait for Gate 1
2. Baseline15-60 minYes
3. Idea15-30 minWait for Gate 2
4. Experiment30 min - hoursYes
5. Analysis30-60 minYes
6. Optimize0-60 minYes (optional)
7. Write30-60 minYes
8. Review15-30 minYes
9. Finalize10-20 minYes

Signals

GitHub stars
1k
Forks
119
Last commit
Sep 2026
Advanced
Catalog kind
skill
Gateway key
ds-full-pipeline
Source
github.com/openlair/dr-claw