propose-hypotheses

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name: propose-hypotheses description: Execute complete FPF cycle from hypothesis generation to decision argument-hint: "[problem-statement]" allowed-tools: Task, Read, Write, Bash, AskUserQuestion

Propose Hypotheses Workflow

Execute the First Principles Framework (FPF) cycle: generate competing hypotheses, verify logic, validate evidence, audit trust, and produce a decision.

User Input

Problem Statement: $ARGUMENTS

Workflow Execution

Step 1a: Create Directory Structure (Main Agent)

Create .fpf/ directory structure if it does not exist:

mkdir -p .fpf/{evidence,decisions,sessions,knowledge/{L0,L1,L2,invalid}}
touch .fpf/{evidence,decisions,sessions,knowledge/{L0,L1,L2,invalid}}/.gitkeep

Postcondition: .fpf/ directory scaffold exists.

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Step 1b: Initialize Context (FPF Agent)

Launch fpf-agent with sonnet[1m] model:

• Description: "Initialize FPF context"
• Prompt:

  Read ${CLAUDE_PLUGIN_ROOT}/tasks/init-context.md and execute.
  
  Problem Statement: $ARGUMENTS
  
  **Write**: Context summary to `.fpf/context.md`**
  

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Step 2: Generate Hypotheses (FPF Agent)

Launch fpf-agent with sonnet[1m] model:

• Description: "Generate L0 hypotheses"
• Prompt:

  Read ${CLAUDE_PLUGIN_ROOT}/tasks/generate-hypotheses.md and execute.
  
  Problem Statement: $ARGUMENTS
  Context: <summary from Step 1b>
  
  **Write**: List of hypothesis IDs and titles to `.fpf/knowledge/L0/`
  
  Reply with summary table in markdown format:
  
    | ID | Title | Kind | Scope |
    |----|-------|------|-------|
    | ... | ... | ... | ... |
  

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Step 3: Present Summary (Main Agent)

1. Read all L0 hypothesis files from .fpf/knowledge/L0/
2. Present summary table from agent response.
3. Ask user: "Would you like to add any hypotheses of your own? (yes/no)"

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Step 4: Add User Hypothesis (FPF Agent, Conditional Loop)

Condition: User says yes to adding hypotheses.

Launch fpf-agent with sonnet[1m] model:

• Description: "Add user hypothesis"
• Prompt:

  Read ${CLAUDE_PLUGIN_ROOT}/tasks/add-user-hypothesis.md and execute.
  
  User Hypothesis Description: <get from user>
  
  **Write**: User hypothesis to `.fpf/knowledge/L0/`
  

Loop: Return to Step 3 after hypothesis is added.

Exit: When user says no or declines to add more.

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Step 5: Verify Logic (Parallel Sub-Agents)

Condition: User finished adding hypotheses.

For EACH L0 hypothesis file in .fpf/knowledge/L0/, launch parallel fpf-agent with sonnet[1m] model:

• Description: "Verify hypothesis: <hypothesis-id>"
• Prompt:

  Read ${CLAUDE_PLUGIN_ROOT}/tasks/verify-logic.md and execute.
  
  Hypothesis ID: <hypothesis-id>
  Hypothesis File: .fpf/knowledge/L0/<hypothesis-id>.md
  
  **Move**: After you complete verification, move the file to `.fpf/knowledge/L1/` or `.fpf/knowledge/invalid/`.
  

Wait for all agents, then check that files are moved to .fpf/knowledge/L1/ or .fpf/knowledge/invalid/.

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Step 6: Validate Evidence (Parallel Sub-Agents)

For EACH L1 hypothesis file in .fpf/knowledge/L1/, launch parallel fpf-agent with sonnet[1m] model:

• Description: "Validate hypothesis: <hypothesis-id>"
• Prompt:

  Read ${CLAUDE_PLUGIN_ROOT}/tasks/validate-evidence.md and execute.
  
  Hypothesis ID: <hypothesis-id>
  Hypothesis File: .fpf/knowledge/L1/<hypothesis-id>.md
  
  **Move**: After you complete validation, move the file to `.fpf/knowledge/L2/` or `.fpf/knowledge/invalid/`.
  

Wait for all agents, then check that files are moved to .fpf/knowledge/L2/ or .fpf/knowledge/invalid/.

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Step 7: Audit Trust (Parallel Sub-Agents)

For EACH L2 hypothesis file in .fpf/knowledge/L2/, launch parallel fpf-agent with sonnet[1m] model:

• Description: "Audit trust: <hypothesis-id>"
• Prompt:

  Read ${CLAUDE_PLUGIN_ROOT}/tasks/audit-trust.md and execute.
  
  Hypothesis ID: <hypothesis-id>
  Hypothesis File: .fpf/knowledge/L2/<hypothesis-id>.md
  
  **Write**: Audit report to `.fpf/evidence/audit-{hypothesis-id}-{YYYY-MM-DD}.md`
  
  **Reply**: with R_eff score and weakest link
  

Wait for all agents, then check that audit reports are created in .fpf/evidence/.

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Step 8: Make Decision (FPF Agent)

Launch fpf-agent with sonnet[1m] model:

• Description: "Create decision record"
• Prompt:

  Read ${CLAUDE_PLUGIN_ROOT}/tasks/decide.md and execute.
  
  Problem Statement: $ARGUMENTS
  L2 Hypotheses Directory: .fpf/knowledge/L2/
  Audit Reports: .fpf/evidence/
  
  **Write**: Decision record to `.fpf/decisions/`
  
  **Reply**: with decision record summary in markdown format:
  
  | Hypothesis | R_eff | Weakest Link | Status |
  |------------|-------|--------------|--------|
  | ... | ... | ... | ... |
  
  **Recommended Decision**: <hypothesis title>
  
  **Rationale**: <brief explanation>
  

Wait for agent, then check that decision record is created in .fpf/decisions/.

Step 9: Present Final Summary (Main Agent)

1. Read the DRR from .fpf/decisions/
2. Present results from agent response.
3. Present next steps:
   • Implement the selected hypothesis
   • Use /fpf:status to check FPF state
   • Use /fpf:actualize if codebase changes
4. Ask user if he agree with the decision, if not launch fpf-agent at step 8 with instruction to modify the decision as user wants.

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Completion

Workflow complete when:

• .fpf/ directory structure exists
• Context recorded in .fpf/context.md
• Hypotheses generated, verified, validated, and audited
• DRR created in .fpf/decisions/
• Final summary presented to user

Artifacts Created:

• .fpf/context.md - Problem context
• .fpf/knowledge/L0/*.md - Initial hypotheses
• .fpf/knowledge/L1/*.md - Verified hypotheses
• .fpf/knowledge/L2/*.md - Validated hypotheses
• .fpf/knowledge/invalid/*.md - Rejected hypotheses
• .fpf/evidence/*.md - Evidence files
• .fpf/decisions/*.md - Design Rationale Record