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/subagent-driven-analysis

Use when executing a pre-registered analysis plan with mostly independent steps in the current session

BOOST
From plugin
science-superpowers
35916 skills1 hook
Install
$ npx -y skills add K-Dense-AI/science-superpowers --skill subagent-driven-analysis --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/subagent-driven-analysis

Context preview

The summary Claude sees to decide when to auto-load this skill.

Use when executing a pre-registered analysis plan with mostly independent steps in the current session

SKILL.md

subagent-driven-analysis.SKILL.md
name: subagent-driven-analysis
description: Use when executing a pre-registered analysis plan with mostly independent steps in the current session

Subagent-Driven Analysis

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.

Prerequisite

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.

When to Use

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"];
}

The Process

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";
}

Model Selection

Use the least powerful model that can handle each role.

  • **Mechanical steps** (load data, apply a fixed transform, produce a planned figure): fast, cheap model.
  • **Integration/judgment steps** (fitting the primary model, handling missingness per plan): standard model.
  • **Rigor review and anomaly judgment**: most capable model.

Handling Analyst Status

**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 → es

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