General
propose-hypotheses - Claude MCP Skill
Execute complete FPF cycle from hypothesis generation to decision
SEO Guide: Enhance your AI agent with the propose-hypotheses tool. This Model Context Protocol (MCP) server allows Claude Desktop and other LLMs to execute complete fpf cycle from hypothesis generation to decision... Download and configure this skill to unlock new capabilities for your AI workflow.
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SKILL.md# 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
```text
Problem Statement: $ARGUMENTS
```
## Workflow Execution
### Step 1a: Create Directory Structure (Main Agent)
Create `.fpf/` directory structure if it does not exist:
```bash
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.
---
### 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`**
```
---
### 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 |
|----|-------|------|-------|
| ... | ... | ... | ... |
```
---
### 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)"
---
### 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.
---
### 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/`.
---
### 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/`.
---
### 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/`.
---
### 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.
---
## 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 RecordSignals
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Information
- Repository
- NeoLabHQ/context-engineering-kit
- Author
- NeoLabHQ
- Last Sync
- 9/5/2026
- Repo Updated
- 9/5/2026
- Created
- 8/7/2026
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