Token导航 LogoToken导航TokenDH.com
研究检索只读github未标认证来源可访问许可证需确认审计通过

fpf-problem-solvingfpf 问题解决

Agent Skill

fpf-problem-solving 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

367

周安装

15

GitHub Stars

15

下载量

118
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:fpf-problem-solving(fpf 问题解决)
来源仓库:https://github.com/codealive-ai/fpf-simple-skill
仓库路径:skills/fpf-problem-solving
安装命令:
npx skills add https://github.com/codealive-ai/fpf-simple-skill --skill fpf-problem-solving
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/codealive-ai/fpf-simple-skill --skill fpf-problem-solving

简介

fpf-problem-solving 用于查找、检索和筛选相关信息。

  • 适合在 Codex、Claude、Cursor、Gemini CLI 中根据任务场景定位候选结果。
  • 可通过 npx skills add 命令从指定仓库安装并使用。
  • 安装前需确认权限范围、维护状态及是否触发联网或文件操作。
  • 建议结合原始 README 核验具体用法和功能细节。

SKILL.md

First Principles Framework (FPF)

An "Operating System for Thought" — a transdisciplinary architecture for reasoning, written in human- and machine-readable pseudo-code. FPF turns raw intelligence (human or machine) into organisationally usable reasoning: explicit bounded contexts, auditable artefacts, multi-view descriptions, and disciplined hand-offs between specialised actors.

Use cases

Use FPF whenever you need to think more rigorously than the situation's default.

  • Decompose a messy, cross-domain problem into parts that can be reasoned about independently
  • Make a high-stakes decision with incomplete evidence — and know what evidence is still missing
  • Get a mixed team to reason together without vocabulary collisions or hidden assumptions
  • Audit whether a conclusion is well-founded or just plausible
  • Transfer an insight across domains without losing precision or introducing category errors
  • Structure a proposal that must survive scrutiny from multiple expert perspectives
  • Generate alternatives systematically instead of anchoring on the first idea
  • Define what "better" means before comparing options
  • Classify what kind of problem you're facing before searching for solutions
  • Plan how an AI agent should select and sequence its tools under budget and trust constraints

How to navigate

The use cases above help decide WHETHER to invoke FPF. The router below decides WHERE to go once invoked.

Step 1 — Match the thinking need to a starting point

What you need to doStart here
Decompose a complex whole into bounded parts04 Kernel → A.1 Holons, A.1.1 Bounded Contexts, A.14 Mereology
Assign roles and responsibilities04 Kernel → A.2 Roles, A.15 Role-Method-Work Alignment
Set boundaries on what statements mean05 Signature Stack → classify as definitions, gates, duties, or evidence
Prevent category errors (role vs. function, method vs. work)06 Constitutional Principles → A.7 Strict Distinction
Evaluate confidence in a claim or artifact07 Part B → B.3 Trust & Assurance; 08 Part C → C.2 F-G-R scoring
Compose parts into wholes preserving properties07 Part B → B.1 Gamma algebra; 08 Part C → C.13 Compose-CAL, C.20 Discipline-CAL
Reason through a problem systematically07 Part B → B.5 Reasoning Cycle, B.5.2 Abductive Loop
Generate alternatives / explore solution space08 Part C → C.18 NQD Open-Ended Search, C.19 Explore-Exploit
Measure and compare options rigorously06 A.V → A.17-A.19 Characteristics, CSLC & SelectorMechanism; 08 Part C → C.16 MM-CHR
Score knowledge quality (formality, scope, reliability)08 Part C → C.2 KD-CAL, C.2.2 Reliability, C.2.3 Formality
Resolve conflicts across stakeholders or values09 Part D → Ethics & Conflict
Unify vocabulary across teams or domains13 F.I Context of Meaning → 14-15 UTS tables → 20 Lexical Debt
Document for multiple audiences11 E-I Constitution → E.17 Multi-View Publication Kit
Sharpen expression — repair vague wording, surface ambiguity11 E-I → E.17.SD.SPR Surface Precision Restoration, E.17.SD.OOTD Object-of-Talk Discipline, E.17.EFP Explanation Faithfulness; 05 A.IV.A → A.6.H Wholeness Unpacking
Survey a discipline and build a reusable toolkit16 Part G → SoTA Packs, TraditionCards, OperatorCards; 08 Part C → C.21 Discipline-CHR (field health & maturity)
Classify a problem type before solving08 Part C → C.22 Problem-CHR, C.3 Kind-CAL (typed reasoning)
Define quality attributes ("-ilities") as structured bundles08 Part C → C.25 Q-Bundle; 06 A.V → A.17-A.19 Characteristics
Orchestrate agentic tool use under budgets and trust gates08 Part C → C.24 Agent-Tools-CAL
Trace provenance of a claim06 A.V → A.10 Evidence Graph; 16 Part G → G.6 Provenance Ledger

For complex problems, follow paths across multiple sections — the router shows where to start, not where to stop.

Step 2 — Read the _index.md, then the sub-section

  1. Open the _index.md of the target section folder — it lists all sub-sections with line counts and descriptions.
  2. Read only the specific sub-section file you need.
  3. Do NOT load entire sections. Pick the narrowest file that serves the user's question.

Step 3 — Apply in plain language

Use plain language for the user. Introduce FPF-internal names (U.Holon, Gamma, F-G-R) only when they add precision the user needs.

Step 4 — Compose findings across sections

When a problem draws from multiple sections:

  1. State each pattern's contribution in one line (e.g., "Bounded Contexts gives us the parts; Trust Calculus scores our confidence in each").
  2. If patterns from different sections appear to conflict, check for category errors via A.7 Strict Distinction — the conflict is usually a level confusion (role vs. function, method vs. work), not a real contradiction.
  3. Synthesize in natural order: decomposition first (what are the parts?), then evaluation (how confident are we?), then resolution (what do we do about gaps?).
  4. Do not just list FPF patterns — weave them into a coherent answer to the user's actual question.

Starter prompt (example — adapt to the user's actual role and need)

You have the FPF specification loaded. Help me structure my project / problem / programme. Use plain language for an engineer-manager. Propose: (1) bounded contexts / specialisations, (2) decision criteria, (3) key alternatives, (4) hand-offs, and (5) missing evidence or tests before commitment. Introduce internal FPF names only when they add precision.

Section INDEX

Structural reference. Each entry is a folder — read its _index.md first, then pick the sub-section.

#SectionSubWhen to use
01Title page0Authorship, version date, top-level identity.
02Table of Content0Navigate the spec, locate a pattern, trace inter-section dependencies.
03Preface17Onboard: reading paths by role, FPF philosophy, purpose and non-goals.
04Part A — Kernel19Decompose and assign: holons, bounded contexts, roles, transformers, method/work separation.
05A.IV.A — Signatures20Set boundaries: classify statements as definitions, gates, duties, or evidence.
06A.V — Principles29Prevent confusion: category errors, measuring, comparing, evidence graphs, mechanism suite, flow constraints, gate profiles.
07Part B — Reasoning24Compose and evaluate: aggregation (Gamma), trust scores, emergence, reasoning cycles.
08Part C — Extensions30Score and search: epistemic quality (F-G-R), kinds, measurement, open-ended search, problem typing, discipline composition, agentic tool-use, quality bundles.
09Part D — Ethics1Resolve conflicts: ethical trade-offs, bias auditing, safety overrides.
10Part E — Constitution0Entry point for Part E subsections.
11E-I — Constitution33Govern and publish: 11 Pillars, guard-rails, multi-view publication (MVPK), surface discipline, comparative reading, transduction graph, pattern quality gates.
12Part F — Unification0Entry point for Part F subsections.
13F.I — Meaning19Align vocabulary: semantic drift, homonym collisions, Alignment Bridges.
14UTS Layout A0Map concepts across standards (BPMN, PROV-O, ITIL).
15UTS Layout B1Map concepts across disciplines (operations, physics, math).
16Part G — SoTA Kit15Harvest disciplines: SoTA Packs, TraditionCards, OperatorCards, benchmarks.
17Part H — Glossary0Look up terms: canonical definitions, four-register naming, cross-references.
18Part I — Annexes0Walkthroughs, change log, external standards mappings.
19Part J — Indexes0Concept-to-pattern, pattern-to-example, principle-trace indexes.
20Part K — Lexical Debt2Fix terminology: mandatory replacements and migration debt.

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

35.65%
按下载量换算42

Claude

28.44%
按下载量换算34

Cursor

18.32%
按下载量换算22

Gemini CLI

9.94%
按下载量换算12

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

继续浏览同类 Skills