원클릭으로
fpf-propose-hypotheses
Execute complete FPF cycle from hypothesis generation to decision
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
메뉴
Execute complete FPF cycle from hypothesis generation to decision
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
SOC 직업 분류 기준
Access BRENDA enzyme database via SOAP API. Retrieve kinetic parameters (Km, kcat), reaction equations, organism data, and substrate-specific enzyme information for biochemical research and metabolic pathway analysis.
This skill should be used when the user asks to "create AGENTS.md", "update AGENTS.md", "maintain agent docs", "set up CLAUDE.md", or needs to keep agent instructions concise. Enforces research-backed best practices for minimal, high-signal agent documentation.
Audit how a brand appears in AI-powered search (ChatGPT, Perplexity, Claude, Gemini). Use when user mentions "AI search," "how do I show up in ChatGPT," "AI discoverability," "AEO," "LLM visibility," or wants to understand their brand's AI presence.
Generate content ideas rooted in positioning. Use when someone needs "content ideas," "what should I post," "blog topics," "LinkedIn ideas," or is stuck on what to create.
Expert-level C++ programming. Use when writing C++ code, working with templates, RAII, smart pointers, STL, move semantics, multithreading, memory management, CMake, or modern C++20/23.
Use this agent when building high-performance C++ systems requiring modern C++20/23 features, template metaprogramming, or zero-overhead abstractions for systems programming, embedded systems, or p...
| author | luo-kai |
| name | fpf:propose-hypotheses |
| description | Execute complete FPF cycle from hypothesis generation to decision |
| argument-hint | [problem-statement] |
| allowed-tools | Task, Read, Write, Bash, AskUserQuestion |
Execute the First Principles Framework (FPF) cycle: generate competing hypotheses, verify logic, validate evidence, audit trust, and produce a decision.
Problem Statement: $ARGUMENTS
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.
Launch fpf-agent with sonnet[1m] model:
Read ${CLAUDE_PLUGIN_ROOT}/tasks/init-context.md and execute.
Problem Statement: $ARGUMENTS
**Write**: Context summary to `.fpf/context.md`**
Launch fpf-agent with sonnet[1m] model:
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 |
|----|-------|------|-------|
| ... | ... | ... | ... |
.fpf/knowledge/L0/Condition: User says yes to adding hypotheses.
Launch fpf-agent with sonnet[1m] model:
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.
Condition: User finished adding hypotheses.
For EACH L0 hypothesis file in .fpf/knowledge/L0/, launch parallel fpf-agent with sonnet[1m] model:
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/.
For EACH L1 hypothesis file in .fpf/knowledge/L1/, launch parallel fpf-agent with sonnet[1m] model:
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/.
For EACH L2 hypothesis file in .fpf/knowledge/L2/, launch parallel fpf-agent with sonnet[1m] model:
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/.
Launch fpf-agent with sonnet[1m] model:
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>
.fpf/decisions/..fpf/decisions//fpf:status to check FPF state/fpf:actualize if codebase changesWorkflow complete when:
.fpf/ directory structure exists.fpf/context.md.fpf/decisions/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