메뉴
Define the characteristic space — what could matter, how to measure it, how to compare. Think through what "better" means before generating or comparing anything.
기본적으로 소스를 먼저 확인하는 Prompt가 선택됩니다. 직접 명령으로 전환하거나 로컬 사본을 다운로드할 수도 있습니다.
설치 여부를 결정하기 전에 SKILL.md와 SkillsMP에 표시된 보조 파일을 읽어 보세요.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
직접 명령은 검토 Prompt를 거치지 않습니다. 실행하기 전에 소스를 확인하세요.
npx skills add https://github.com/m0n0x41d/principled-claude-code --skill fpf-characterize명령은 한 줄로 유지됩니다. 복사하기 전에 가로로 스크롤해 전체 내용을 확인하세요.
로컬 사본을 원하시나요? SkillsMP에서 현재 제공할 수 있는 파일을 다운로드하세요.
FPF global toggle and status. Check whether FPF is enabled or disabled globally. Enable or disable FPF across all Claude Code sessions. Triggers on "fpf status", "fpf on", "fpf off", "enable fpf", "disable fpf", "is fpf active", "/fpf-active".
FPF session bootstrap. MUST be auto-invoked at the start of any non-trivial task. Writes sentinel, triggers worklog, activates FPF rules. After this, MUST invoke /fpf-worklog.
Think through a problem by working through the problem card template. Design what problem you're solving and how you'll know it's solved. MUST invoke for debugging, new features, design decisions, or any substantive work.
SOC 직업 분류 기준
SKILL.md 표시 중
| name | fpf-characterize |
| description | Define the characteristic space — what could matter, how to measure it, how to compare. Think through what "better" means before generating or comparing anything. |
| argument-hint | [domain-or-comparison-context] |
This is defining what matters, not listing metrics. You are constructing the space in which problems and solutions live — deciding which dimensions exist, how they're measured, and what trade-offs are possible. Without this, NQD characterization and Pareto analysis have no basis.
Work through the template. The characteristic space IS the lens through which you see the problem. Different spaces → different solutions look good.
.fpf/characterizations/CHR-${CLAUDE_SESSION_ID}--<slug>.md.fpf/characterizations/CHRC-${CLAUDE_SESSION_ID}--<slug>.md# Characterization Passport
- **ID:** CHR-... **Context:** ...
- **valid_until:** YYYY-MM-DD
## Characteristic space
| # | Characteristic | Scale | Polarity | Unit |
(all dimensions that COULD matter)
## Active indicators (selected for this comparison)
| # | Indicator | Target | Baseline | Measurement method |
(1-3 selected — these drive NQD Q-dimension in SPORT-*)
Selection rule: (WHY these indicators and not others — explicit rationale tied to roles/viewpoints)
## Comparison rules
- Dominance policy: (e.g., "V1 dominates V2 if better on all indicators")
- Tie-breaking: (e.g., "if tied on indicators, prefer higher N then D_p")
- Normalization: (if indicators have different scales)
- Missing data: (how to handle "unknown"/"no data" — explicit rule, not silence)
## Acceptance criteria
(what "good enough" means — feeds into PROB-* acceptance spec)