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From science-superpowers
Executes a pre-registered analysis plan by dispatching fresh subagents per step with two-stage review (protocol compliance then statistical rigor). Use when steps are mostly independent and stay in the current session.
npx claudepluginhub k-dense-ai/science-superpowers --plugin science-superpowersHow this skill is triggered — by the user, by Claude, or both
Slash command
/science-superpowers:subagent-driven-analysisThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
Execute a pre-registered analysis plan by dispatching a fresh subagent per analysis step, with two-stage review after each: protocol-compliance review first (did it run exactly what was pre-registered, nothing more), then statistical-rigor review (assumptions, leakage, correctness, reproducibility).
Executes pre-registered analysis plans with review checkpoints, validating each step and reporting results. Useful for reproducible data analysis without subagents.
Forces every data analysis step through a fresh Task subagent with output-first verification. Prevents main-chat code execution and ensures methodology review.
Orchestrates full research pipeline from Brainstorming to Reporting via Planning, Implementation, Testing & Visualization phases with user checkpoints. Configurable for physics, AI/ML, statistics, math domains, depth, and agent personas.
Share bugs, ideas, or general feedback.
Execute a pre-registered analysis plan by dispatching a fresh subagent per analysis step, with two-stage review after each: protocol-compliance review first (did it run exactly what was pre-registered, nothing more), then statistical-rigor review (assumptions, leakage, correctness, reproducibility).
Why subagents: You delegate steps to specialized agents with isolated context. By precisely crafting their instructions, you keep them focused and prevent them from improvising analyses you didn't pre-register. They never inherit your session's history — you construct exactly what they need. This also preserves your own context for coordination.
Core principle: Fresh subagent per step + two-stage review (protocol then rigor) = trustworthy, reproducible results.
Continuous execution: Do not pause to check in between steps. Execute the whole plan. The only reasons to stop: a BLOCKED status you cannot resolve, an anomaly that needs science-superpowers:investigating-anomalous-results, a genuine ambiguity, or all steps complete.
The analysis plan MUST be pre-registered and frozen (science-superpowers:preregistering-analysis) before any step runs. If it is not frozen, stop and pre-register first. Executing before freezing turns the whole thing exploratory.
digraph when_to_use {
"Pre-registered plan?" [shape=diamond];
"Steps mostly independent?" [shape=diamond];
"Stay in this session?" [shape=diamond];
"subagent-driven-analysis" [shape=box];
"executing-analysis" [shape=box];
"Pre-register first" [shape=box];
"Pre-registered plan?" -> "Steps mostly independent?" [label="yes"];
"Pre-registered plan?" -> "Pre-register first" [label="no"];
"Steps mostly independent?" -> "Stay in this session?" [label="yes"];
"Stay in this session?" -> "subagent-driven-analysis" [label="yes"];
"Stay in this session?" -> "executing-analysis" [label="no - parallel session"];
}
digraph process {
rankdir=TB;
"Set up reproducible workspace" [shape=box];
"Read plan + frozen prereg, extract all steps, create TodoWrite" [shape=box];
"Dispatch analyst subagent (./analyst-prompt.md)" [shape=box];
"Analyst asks questions?" [shape=diamond];
"Answer, provide context" [shape=box];
"Analyst runs step, validates, commits, self-reviews" [shape=box];
"Dispatch protocol-compliance reviewer (./protocol-compliance-reviewer-prompt.md)" [shape=box];
"Ran exactly the pre-registered analysis?" [shape=diamond];
"Analyst fixes deviations" [shape=box];
"Dispatch rigor reviewer (./rigor-reviewer-prompt.md)" [shape=box];
"Rigor reviewer approves?" [shape=diamond];
"Analyst fixes rigor issues" [shape=box];
"Mark step complete" [shape=box];
"More steps?" [shape=diamond];
"Use requesting-red-team-review on whole result" [shape=box style=filled fillcolor=lightgreen];
"Use reporting-and-archiving-findings" [shape=box style=filled fillcolor=lightgreen];
"Set up reproducible workspace" -> "Read plan + frozen prereg, extract all steps, create TodoWrite";
"Read plan + frozen prereg, extract all steps, create TodoWrite" -> "Dispatch analyst subagent (./analyst-prompt.md)";
"Dispatch analyst subagent (./analyst-prompt.md)" -> "Analyst asks questions?";
"Analyst asks questions?" -> "Answer, provide context" [label="yes"];
"Answer, provide context" -> "Dispatch analyst subagent (./analyst-prompt.md)";
"Analyst asks questions?" -> "Analyst runs step, validates, commits, self-reviews" [label="no"];
"Analyst runs step, validates, commits, self-reviews" -> "Dispatch protocol-compliance reviewer (./protocol-compliance-reviewer-prompt.md)";
"Dispatch protocol-compliance reviewer (./protocol-compliance-reviewer-prompt.md)" -> "Ran exactly the pre-registered analysis?";
"Ran exactly the pre-registered analysis?" -> "Analyst fixes deviations" [label="no"];
"Analyst fixes deviations" -> "Dispatch protocol-compliance reviewer (./protocol-compliance-reviewer-prompt.md)" [label="re-review"];
"Ran exactly the pre-registered analysis?" -> "Dispatch rigor reviewer (./rigor-reviewer-prompt.md)" [label="yes"];
"Dispatch rigor reviewer (./rigor-reviewer-prompt.md)" -> "Rigor reviewer approves?";
"Rigor reviewer approves?" -> "Analyst fixes rigor issues" [label="no"];
"Analyst fixes rigor issues" -> "Dispatch rigor reviewer (./rigor-reviewer-prompt.md)" [label="re-review"];
"Rigor reviewer approves?" -> "Mark step complete" [label="yes"];
"Mark step complete" -> "More steps?";
"More steps?" -> "Dispatch analyst subagent (./analyst-prompt.md)" [label="yes"];
"More steps?" -> "Use requesting-red-team-review on whole result" [label="no"];
"Use requesting-red-team-review on whole result" -> "Use reporting-and-archiving-findings";
}
Use the least powerful model that can handle each role.
DONE: Proceed to protocol-compliance review.
DONE_WITH_CONCERNS: Read the concerns. If about correctness or an unexpected data issue, address before review (may need science-superpowers:investigating-anomalous-results). If an observation ("this file is getting large"), note and proceed.
NEEDS_CONTEXT: Provide the missing information and re-dispatch.
BLOCKED: Assess. Context problem → provide more and re-dispatch. Needs more reasoning → more capable model. Step too large → split. Plan itself is wrong → escalate to your human partner. A wrong plan may require re-opening the pre-registration, which must be documented as a deviation.
Never silently let a subagent change the registered analysis to make a step "work." A deviation is documented and renders that analysis exploratory.
./analyst-prompt.md — dispatch the analyst subagent./protocol-compliance-reviewer-prompt.md — did it match the pre-registration?./rigor-reviewer-prompt.md — is the statistics correct, reproducible, leak-free?Never:
If a reviewer finds issues: the same analyst subagent fixes them, then the reviewer reviews again. Repeat until approved.
Required workflow skills:
Subagents should use:
Alternative: